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| examples of healthcare information technology: Information Technology Solutions for Healthcare Krzysztof Zielinski, Mariusz Duplaga, David Ingram, 2007-10-29 In-depth study of internet-enhanced healthcare services Complete and thorough survey of the most promising e-health technologies Presents numerous real world examples Emphasis on international health-informatics topics, such as better access of states / countries to modern e-health technologies developed by leading centers |
| examples of healthcare information technology: Innovation with Information Technologies in Healthcare Lyle Berkowitz, Chris McCarthy, 2012-11-13 This book provides an extensive review of what innovation means in healthcare, with real-life examples and guidance on how to successfully innovate with IT in healthcare. |
| examples of healthcare information technology: Patient Safety and Quality Ronda Hughes, 2008 Nurses play a vital role in improving the safety and quality of patient car -- not only in the hospital or ambulatory treatment facility, but also of community-based care and the care performed by family members. Nurses need know what proven techniques and interventions they can use to enhance patient outcomes. To address this need, the Agency for Healthcare Research and Quality (AHRQ), with additional funding from the Robert Wood Johnson Foundation, has prepared this comprehensive, 1,400-page, handbook for nurses on patient safety and quality -- Patient Safety and Quality: An Evidence-Based Handbook for Nurses. (AHRQ Publication No. 08-0043). - online AHRQ blurb, http://www.ahrq.gov/qual/nurseshdbk/ |
| examples of healthcare information technology: Project Management for Healthcare Information Technology Scott Coplan, David Masuda, 2011-01-26 A Proven, Integrated Healthcare Information Technology Management Solution Co-written by a certified Project Management Professional and an M.D., Project Management for Healthcare Information Technology presents an effective methodology that encompasses standards and best practices from project management, information technology management, and change management for a streamlined transition to digital medicine. Each management discipline is examined in detail and defined as a set of knowledge areas. The book then describes the core processes that take place within each knowledge area in the initiating, planning, executing, controlling, and closing stages of a project. Real-world examples from healthcare information technology project leaders identify how the integrated approach presented in this book leads to successful project implementations. Coverage Includes: Integrating project, information technology, and change management methodologies PMBOK Guide process groups--initiating, planning, executing, controlling, and closing Project management knowledge areas--integration, scope, time, cost, quality, human resource, communication, risk, and procurement management IT management knowledge areas--user requirements, infrastructure, conversion, software configuration, workflow, security, interface, testing, cutover, and support management Change management knowledge areas--realization, sponsorship, transformation, training, and optimization management |
| examples of healthcare information technology: Healthcare Technology Management Systems Rossana Rivas, Luis Vilcahuamán, 2017-07-17 Healthcare Technology Management Systems provides a model for implementing an effective healthcare technology management (HTM) system in hospitals and healthcare provider settings, as well as promoting a new analysis of hospital organization for decision-making regarding technology. Despite healthcare complexity and challenges, current models of management and organization of technology in hospitals still has evolved over those established 40-50 years ago, according to totally different circumstances and technologies available now. The current health context based on new technologies demands working with an updated model of management and organization, which requires a re-engineering perspective to achieve appropriate levels of clinical effectiveness, efficiency, safety and quality. Healthcare Technology Management Systems presents best practices for implementing procedures for effective technology management focused on human resources, as well as aspects related to liability, and the appropriate procedures for implementation. - Presents a new model for hospital organization for Clinical Engineers and administrators to implement Healthcare Technology Management (HTM) - Understand how to implement Healthcare Technology Management (HTM) and Health Technology Assessment (HTA) within all types of organizations, including Human Resource impact, Technology Policy and Regulations, Health Technology Planning (HTP) and Acquisition, as well as Asset and Risk Management - Transfer of knowledge from applied research in CE, HTM, HTP and HTA, from award-winning authors who are active in international health organizations such as the World Health Organization (WHO), Pan American Health Organization (PAHO), American College of Clinical Engineering (ACCE) and International Federation for Medical and Biological Engineering (IFMBE) |
| examples of healthcare information technology: Registries for Evaluating Patient Outcomes Agency for Healthcare Research and Quality/AHRQ, 2014-04-01 This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. |
| examples of healthcare information technology: Taking Action Against Clinician Burnout National Academies of Sciences, Engineering, and Medicine, National Academy of Medicine, Committee on Systems Approaches to Improve Patient Care by Supporting Clinician Well-Being, 2020-01-02 Patient-centered, high-quality health care relies on the well-being, health, and safety of health care clinicians. However, alarmingly high rates of clinician burnout in the United States are detrimental to the quality of care being provided, harmful to individuals in the workforce, and costly. It is important to take a systemic approach to address burnout that focuses on the structure, organization, and culture of health care. Taking Action Against Clinician Burnout: A Systems Approach to Professional Well-Being builds upon two groundbreaking reports from the past twenty years, To Err Is Human: Building a Safer Health System and Crossing the Quality Chasm: A New Health System for the 21st Century, which both called attention to the issues around patient safety and quality of care. This report explores the extent, consequences, and contributing factors of clinician burnout and provides a framework for a systems approach to clinician burnout and professional well-being, a research agenda to advance clinician well-being, and recommendations for the field. |
| examples of healthcare information technology: The Role of Telehealth in an Evolving Health Care Environment Institute of Medicine, Board on Health Care Services, 2012-12-20 In 1996, the Institute of Medicine (IOM) released its report Telemedicine: A Guide to Assessing Telecommunications for Health Care. In that report, the IOM Committee on Evaluating Clinical Applications of Telemedicine found telemedicine is similar in most respects to other technologies for which better evidence of effectiveness is also being demanded. Telemedicine, however, has some special characteristics-shared with information technologies generally-that warrant particular notice from evaluators and decision makers. Since that time, attention to telehealth has continued to grow in both the public and private sectors. Peer-reviewed journals and professional societies are devoted to telehealth, the federal government provides grant funding to promote the use of telehealth, and the private technology industry continues to develop new applications for telehealth. However, barriers remain to the use of telehealth modalities, including issues related to reimbursement, licensure, workforce, and costs. Also, some areas of telehealth have developed a stronger evidence base than others. The Health Resources and Service Administration (HRSA) sponsored the IOM in holding a workshop in Washington, DC, on August 8-9 2012, to examine how the use of telehealth technology can fit into the U.S. health care system. HRSA asked the IOM to focus on the potential for telehealth to serve geographically isolated individuals and extend the reach of scarce resources while also emphasizing the quality and value in the delivery of health care services. This workshop summary discusses the evolution of telehealth since 1996, including the increasing role of the private sector, policies that have promoted or delayed the use of telehealth, and consumer acceptance of telehealth. The Role of Telehealth in an Evolving Health Care Environment: Workshop Summary discusses the current evidence base for telehealth, including available data and gaps in data; discuss how technological developments, including mobile telehealth, electronic intensive care units, remote monitoring, social networking, and wearable devices, in conjunction with the push for electronic health records, is changing the delivery of health care in rural and urban environments. This report also summarizes actions that the U.S. Department of Health and Human Services (HHS) can undertake to further the use of telehealth to improve health care outcomes while controlling costs in the current health care environment. |
| examples of healthcare information technology: Digital Health Entrepreneurship Sharon Wulfovich, Arlen Meyers, 2019-06-20 This book presents a hands on approach to the digital health innovation and entrepreneurship roadmap for digital health entrepreneurs and medical professionals who are dissatisfied with the existing literature on or are contemplating getting involved in digital health entrepreneurship. Topics covered include regulatory affairs featuring detailed guidance on the legal environment, protecting digital health intellectual property in software, hardware and business processes, financing a digital health start up, cybersecurity best practice, and digital health business model testing for desirability, feasibility, and viability. Digital Health Entrepreneurship is directed to clinicians and other digital health entrepreneurs and stresses an interdisciplinary approach to product development, deployment, dissemination and implementation. It therefore provides an ideal resource for medical professionals across a broad range of disciplines seeking a greater understanding of digital health innovation and entrepreneurship. |
| examples of healthcare information technology: Leveraging Data Science for Global Health Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai, 2020-07-31 This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient. |
| examples of healthcare information technology: Health Care Comes Home National Research Council, Division of Behavioral and Social Sciences and Education, Board on Human-Systems Integration, Committee on the Role of Human Factors in Home Health Care, 2011-06-22 In the United States, health care devices, technologies, and practices are rapidly moving into the home. The factors driving this migration include the costs of health care, the growing numbers of older adults, the increasing prevalence of chronic conditions and diseases and improved survival rates for people with those conditions and diseases, and a wide range of technological innovations. The health care that results varies considerably in its safety, effectiveness, and efficiency, as well as in its quality and cost. Health Care Comes Home reviews the state of current knowledge and practice about many aspects of health care in residential settings and explores the short- and long-term effects of emerging trends and technologies. By evaluating existing systems, the book identifies design problems and imbalances between technological system demands and the capabilities of users. Health Care Comes Home recommends critical steps to improve health care in the home. The book's recommendations cover the regulation of health care technologies, proper training and preparation for people who provide in-home care, and how existing housing can be modified and new accessible housing can be better designed for residential health care. The book also identifies knowledge gaps in the field and how these can be addressed through research and development initiatives. Health Care Comes Home lays the foundation for the integration of human health factors with the design and implementation of home health care devices, technologies, and practices. The book describes ways in which the Agency for Healthcare Research and Quality (AHRQ), the U.S. Food and Drug Administration (FDA), and federal housing agencies can collaborate to improve the quality of health care at home. It is also a valuable resource for residential health care providers and caregivers. |
| examples of healthcare information technology: Global Health Informatics Heimar Marin, Eduardo Massad, Marco Antonio Gutierrez, Roberto Jaime Rodrigues, Daniel Sigulem, 2016-12-08 Global Health Informatics: How Information Technology Can Change Our Lives in a Globalized World discusses the critical role of information and communication technologies in health practice, health systems management and research in increasingly interconnected societies. In a global interconnected world the old standalone institutional information systems have proved to be inadequate for patient-centered care provided by multiple providers, for the early detection and response to emerging and re-emerging diseases, and to guide population-oriented public health interventions. The book reviews pertinent aspects and successful current experiences related to standards for health information systems; digital systems as a support for decision making, diagnosis and therapy; professional and client education and training; health systems operation; and intergovernmental collaboration. - Discusses how standalone systems can compromise health care in globalized world - Provides information on how information and communication technologies (ICT) can support diagnose, treatment, and prevention of emerging and re-emerging diseases - Presents case studies about integrated information and how and why to share data can facilitate governance and strategies to improve life conditions |
| examples of healthcare information technology: Computational Technology for Effective Health Care National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Engaging the Computer Science Research Community in Health Care Informatics, 2009-02-24 Despite a strong commitment to delivering quality health care, persistent problems involving medical errors and ineffective treatment continue to plague the industry. Many of these problems are the consequence of poor information and technology (IT) capabilities, and most importantly, the lack cognitive IT support. Clinicians spend a great deal of time sifting through large amounts of raw data, when, ideally, IT systems would place raw data into context with current medical knowledge to provide clinicians with computer models that depict the health status of the patient. Computational Technology for Effective Health Care advocates re-balancing the portfolio of investments in health care IT to place a greater emphasis on providing cognitive support for health care providers, patients, and family caregivers; observing proven principles for success in designing and implementing IT; and accelerating research related to health care in the computer and social sciences and in health/biomedical informatics. Health care professionals, patient safety advocates, as well as IT specialists and engineers, will find this book a useful tool in preparation for crossing the health care IT chasm. |
| examples of healthcare information technology: Health Information Management Marc Berg, 2004 This book, with its strong international orientation, introduces the reader to the challenges, lessons learned and new insights of health information management at the beginning of the twenty-first century. |
| examples of healthcare information technology: Artificial Intelligence in Medicine David Riaño, Szymon Wilk, Annette ten Teije, 2019-06-19 This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning. |
| examples of healthcare information technology: E-Health Care Information Systems Joseph Tan, 2005-04-29 E-Health Care Information Systems is a comprehensive collection written by leading experts from a range of disciplines including medicine, health sciences, engineering, business information systems, general science, and computing technology. This easily followed text provides a theoretical framework with sound methodological approaches and is filled with numerous case examples. Topics include e-health records, e-public information systems, e-network and surveys, general and specific applications of e-health such as e-rehabilitation, e-medicine, e-homecare, e-diagnosis support systems, and e-health intelligence. E-Health Care Information Systems also covers strategies in e-health care technology management, e-security issues, and the impacts of e-technologies. In addition, this book reviews new and emerging technologies such as mobile health, virtual reality and nanotechnology, and harnessing the power of e-technologies for real-world applications. |
| examples of healthcare information technology: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| examples of healthcare information technology: Healthcare Information Management Systems Charlotte A. Weaver, Marion J. Ball, George R. Kim, Joan M. Kiel, 2015-09-21 Healthcare Information Management Systems, 4th edition, is a comprehensive volume addressing the technical, organizational and management issues confronted by healthcare professionals in the selection, implementation and management of healthcare information systems. With contributions from experts in the field, this book focuses on topics such as strategic planning, turning a plan into reality, implementation, patient-centered technologies, privacy, the new culture of patient safety and the future of technologies in progress. With the addition of many new chapters, the 4th Edition is also richly peppered with case studies of implementation. The case studies are evidence that information technology can be implemented efficiently to yield results, yet they do not overlook pitfalls, hurdles, and other challenges that are encountered. Designed for use by physicians, nurses, nursing and medical directors, department heads, CEOs, CFOs, CIOs, COOs, and healthcare informaticians, the book aims to be a indispensible reference. |
| examples of healthcare information technology: Health Professions Education Institute of Medicine, Board on Health Care Services, Committee on the Health Professions Education Summit, 2003-07-01 The Institute of Medicine study Crossing the Quality Chasm (2001) recommended that an interdisciplinary summit be held to further reform of health professions education in order to enhance quality and patient safety. Health Professions Education: A Bridge to Quality is the follow up to that summit, held in June 2002, where 150 participants across disciplines and occupations developed ideas about how to integrate a core set of competencies into health professions education. These core competencies include patient-centered care, interdisciplinary teams, evidence-based practice, quality improvement, and informatics. This book recommends a mix of approaches to health education improvement, including those related to oversight processes, the training environment, research, public reporting, and leadership. Educators, administrators, and health professionals can use this book to help achieve an approach to education that better prepares clinicians to meet both the needs of patients and the requirements of a changing health care system. |
| examples of healthcare information technology: HIT or Miss, 3rd Edition Jonathan Leviss, 2019-05-31 The third edition of HIT or Miss: Lessons Learned from Health Information Technology Projects presents and dissects a wide variety of HIT failures so that the reader can understand in each case what went wrong and why and how to avoid such problems, without focusing on the involvement of specific people, organizations, or vendors. The lessons may be applied to future and existing projects, or used to understand why a previous project failed. The reader also learns how common causes of failure affect different kinds of HIT projects and with different results. Cases are organized by the type of focus (hospital care, ambulatory care, and community). Each case provides analysis by an author who was involved in the project plus the insight of an HIT expert. This book presents a model to discuss HIT failures in a safe and protected manner, providing an opportunity to focus on the lessons offered by a failed initiative as opposed to worrying about potential retribution for exposing a project as having failed. Access expert insight into key obstacles that must be overcome to leverage IT and transform healthcare. Each de-identified case study includes an analysis by a group of industry experts along with a counter analysis. Cases include a list of key words and are categorized by project (e.g. CPOE, business intelligence). Each case study concludes with a lesson learned section. |
| examples of healthcare information technology: The Computer-Based Patient Record Committee on Improving the Patient Record, Institute of Medicine, 1997-10-28 Most industries have plunged into data automation, but health care organizations have lagged in moving patients' medical records from paper to computers. In its first edition, this book presented a blueprint for introducing the computer-based patient record (CPR). The revised edition adds new information to the original book. One section describes recent developments, including the creation of a computer-based patient record institute. An international chapter highlights what is new in this still-emerging technology. An expert committee explores the potential of machine-readable CPRs to improve diagnostic and care decisions, provide a database for policymaking, and much more, addressing these key questions: Who uses patient records? What technology is available and what further research is necessary to meet users' needs? What should government, medical organizations, and others do to make the transition to CPRs? The volume also explores such issues as privacy and confidentiality, costs, the need for training, legal barriers to CPRs, and other key topics. |
| examples of healthcare information technology: Health Information Systems Alfred Winter, Reinhold Haux, Elske Ammenwerth, Birgit Brigl, Nils Hellrung, Franziska Jahn, 2011-01-18 Previously published as Strategic Information Management in Hospitals; An Introduction to Hospital Information Systems, Health Information Systems Architectures and Strategies is a definitive volume written by four authoritative voices in medical informatics. Illustrating the importance of hospital information management in delivering high quality health care at the lowest possible cost, this book provides the essential resources needed by the medical informatics specialist to understand and successfully manage the complex nature of hospital information systems. Author of the first edition's Foreword, Reed M. Gardner, PhD, Professor and Chair, Department of Medical Informatics, University of Utah and LDS Hospital, Salt Lake City, Utah, applauded the text's focus on the underlying administrative systems that are in place in hospitals throughout the world. He wrote, These challenging systems that acquire, process and manage the patient's clinical information. Hospital information systems provide a major part of the information needed by those paying for health care. their components; health information systems; architectures of hospital information systems; and organizational structures for information management. |
| examples of healthcare information technology: Cases on Healthcare Information Technology for Patient Care Management Sarnikar, Surendra, 2012-12-31 Health care organizations have made investments in health information technologies such as electronic health records, health information exchanges, and many more, which have increased the importance of Health Information Technology studies. Cases on Healthcare Information Technology for Patient Care Management highlights the importance of understanding the potential challenges and lessons learned from past technology implementations. This comprehensive collection of case studies aims to help improve the understanding of the process as well as challenges faced and lessons learned through implementation of health information technologies. |
| examples of healthcare information technology: Wearable Technology in Medicine and Health Care Raymond K. Y. Tong, 2018-07-26 Wearable Technology in Medicine and Health Care provides readers with the most current research and information on the clinical and biomedical applications of wearable technology. Wearable devices provide applicability and convenience beyond many other means of technical interface and can include varying applications, such as personal entertainment, social communications and personalized health and fitness. The book covers the rapidly expanding development of wearable systems, thus enabling clinical and medical applications, such as disease management and rehabilitation. Final chapters discuss the challenges inherent to these rapidly evolving technologies. - Provides state-of-the-art coverage of the latest advances in wearable technology and devices in healthcare and medicine - Presents the main applications and challenges in the biomedical implementation of wearable devices - Includes examples of wearable sensor technology used for health monitoring, such as the use of wearables for continuous monitoring of human vital signs, e.g. heart rate, respiratory rate, energy expenditure, blood pressure and blood glucose, etc. - Covers examples of wearables for early diagnosis of diseases, prevention of chronic conditions, improved clinical management of neurodegenerative conditions, and prompt response to emergency situations |
| examples of healthcare information technology: Improving Usability, Safety and Patient Outcomes with Health Information Technology F. Lau, J.A. Bartle-Clar, G. Bliss, 2019-03-26 Information technology is revolutionizing healthcare, and the uptake of health information technologies is rising, but scientific research and industrial and governmental support will be needed if these technologies are to be implemented effectively to build capacity at regional, national and global levels. This book, Improving Usability, Safety and Patient Outcomes with Health Information Technology, presents papers from the Information Technology and Communications in Health conference, ITCH 2019, held in Victoria, Canada from 14 to 17 February 2019. The conference takes a multi-perspective view of what is needed to move technology forward to sustained and widespread use by transitioning research findings and approaches into practice. Topics range from improvements in usability and training and the need for new and improved designs for information systems, user interfaces and interoperable solutions, to governmental policy, mandates, initiatives and the need for regulation. The knowledge and insights gained from the ITCH 2019 conference will surely stimulate fruitful discussions and collaboration to bridge research and practice and improve usability, safety and patient outcomes, and the book will be of interest to all those associated with the development, implementation and delivery of health IT solutions. |
| examples of healthcare information technology: Health Information Technology Evaluation Handbook Vitaly Herasevich, , , MSc, Vitaly Herasevich, Brian W. Pickering, Brian W. Pickering, , MSc, 2017-10-19 Governments and clinical providers are investing billions of dollars in health information technologies. This book provides an easy-to-read reference outlining the basic concepts, theory, and methods required to perform a systematic evaluation of HIT. |
| examples of healthcare information technology: Global Health Informatics Leo Anthony G. Celi, Hamish S. F. Fraser, Vipan Nikore, Juan Sebastian Osorio, Kenneth Paik, 2017-04-21 Key concepts, frameworks, examples, and lessons learned in designing and implementing health information and communication technology systems in the developing world. The widespread usage of mobile phones that bring computational power and data to our fingertips has enabled new models for tracking and battling disease. The developing world in particular has become a proving ground for innovation in eHealth (using communication and technology tools in healthcare) and mHealth (using the affordances of mobile technology in eHealth systems). In this book, experts from a variety of disciplines—among them computer science, medicine, public health, policy, and business—discuss key concepts, frameworks, examples, and lessons learned in designing and implementing digital health systems in the developing world. The contributors consider such topics as global health disparities and quality of care; aligning eHealth strategies with government policy; the role of monitoring and evaluation in improving care; databases, patient registries, and electronic health records; the lifecycle of a digital health system project; software project management; privacy and security; and evaluating health technology systems. |
| examples of healthcare information technology: Engaging Privacy and Information Technology in a Digital Age National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Privacy in the Information Age, 2007-06-28 Privacy is a growing concern in the United States and around the world. The spread of the Internet and the seemingly boundaryless options for collecting, saving, sharing, and comparing information trigger consumer worries. Online practices of business and government agencies may present new ways to compromise privacy, and e-commerce and technologies that make a wide range of personal information available to anyone with a Web browser only begin to hint at the possibilities for inappropriate or unwarranted intrusion into our personal lives. Engaging Privacy and Information Technology in a Digital Age presents a comprehensive and multidisciplinary examination of privacy in the information age. It explores such important concepts as how the threats to privacy evolving, how can privacy be protected and how society can balance the interests of individuals, businesses and government in ways that promote privacy reasonably and effectively? This book seeks to raise awareness of the web of connectedness among the actions one takes and the privacy policies that are enacted, and provides a variety of tools and concepts with which debates over privacy can be more fruitfully engaged. Engaging Privacy and Information Technology in a Digital Age focuses on three major components affecting notions, perceptions, and expectations of privacy: technological change, societal shifts, and circumstantial discontinuities. This book will be of special interest to anyone interested in understanding why privacy issues are often so intractable. |
| examples of healthcare information technology: Health Information Technology Nadinia A. Davis, Melissa LaCour, 2014 Reflecting emerging trends in today's health information management, Health Information Technology, 3rd Edition covers everything from electronic health records and collecting healthcare data to coding and compliance. It prepares you for a role as a Registered Health Information Technician, one in which you not only file and keep accurate records but serve as a healthcare analyst who translates data into useful, quality information that can control costs and further research. This edition includes new full-color illustrations and easy access to definitions of daunting terms and acronyms. Written by expert educators Nadinia Davis and Melissa LaCour, this book also offers invaluable preparation for the HIT certification exam. Workbook exercises in the book help you review and apply key concepts immediately after you've studied the core topics. Clear writing style and easy reading level makes reading and studying more time-efficient. Chapter learning objectives help you prepare for the credentialing exam by corresponding to the American Health Information Management Association's (AHIMA) domains and subdomains of the Health Information Technology (HIT) curriculum. A separate Confidentiality and Compliance chapter covers HIPAA privacy regulations. Job descriptions in every chapter offer a broad view of the field and show career options following graduation and certification. Student resources on the Evolve companion website include sample paper forms and provide an interactive learning environment. NEW! Full-color illustrations aid comprehension and help you visualize concepts. UPDATED information accurately depicts today's technology, including records processing in the EHR and hybrid environments, digital storage concerns, information systems implementation, and security issues, including HITECH's impact on HIPAA regulations. NEW! Glossary terms and definitions plus acronyms/abbreviations in the margins provide easy access to definitions of key vocabulary and confusing abbreviations. NEW! Go Tos in the margins cross-reference the textbook by specific chapters. NEW Coding boxes in the margins provide examples of common code sets. Over 100 NEW vocabulary terms and definitions ensure that the material is current and comprehensive. NEW Patient Care Perspective and Career Tips at the end of chapters include examples of important HIM activities in patient care and customer service. |
| examples of healthcare information technology: Essentials of Health Information Systems and Technology Jean A Balgrosky, 2014-08-11 Key Terms; Discussion Questions; References; Chapter 2 HIS Scope, Definition, and Conceptual Model; Learning Objectives; Introduction; HIS Uses in Organizational and Community Settings; Summary; Key Terms; Discussion Questions; References; Section II: Systems and Management; Chapter 3 HIS Strategic Planning; Learning Objectives; Introduction; HIS Strategy: Organizational Strategy as Its Roadmap; HIS Strategy: Where Do We Begin?; Why HIS Strategy Matters; HIS and Technology Strategy: Advancing Public Health; HIS and Technology Strategy: Architecture Builds a Strong House. |
| examples of healthcare information technology: Health Informatics Data Analysis Dong Xu, May D. Wang, Fengfeng Zhou, Yunpeng Cai, 2017-09-08 This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection. With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales, dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers. This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries. |
| examples of healthcare information technology: First, Do Less Harm Ross Koppel, Suzanne Gordon, 2012-04-23 Each year, hospital-acquired infections, prescribing and treatment errors, lost documents and test reports, communication failures, and other problems have caused thousands of deaths in the United States, added millions of days to patients' hospital stays, and cost Americans tens of billions of dollars. Despite (and sometimes because of) new medical information technology and numerous well-intentioned initiatives to address these problems, threats to patient safety remain, and in some areas are on the rise. In First, Do Less Harm, twelve health care professionals and researchers plus two former patients look at patient safety from a variety of perspectives, finding many of the proposed solutions to be inadequate or impractical. Several contributors to this book attribute the failure to confront patient safety concerns to the influence of the market model on medicine and emphasize the need for hospital-wide teamwork and greater involvement from frontline workers (from janitors and aides to nurses and physicians) in planning, implementing, and evaluating effective safety initiatives. Several chapters in First, Do Less Harm focus on the critical role of interprofessional and occupational practice in patient safety. Rather than focusing on the usual suspects-physicians, safety champions, or high level management-these chapters expand the list of stakeholders and patient safety advocates to include nurses, patient care assistants, and other staff, as well as the health care unions that may represent them. First, Do Less Harm also highlights workplace issues that negatively affect safety: including sleeplessness, excessive workloads, outsourcing of hospital cleaning, and lack of teamwork between physicians and other health care staff. In two chapters, experts explain why the promise of health care information technology to fix safety problems remains unrealized, with examples that are at once humorous and frightening. A book that will be required reading for physicians, nurses, hospital administrators, public health officers, quality and risk managers, healthcare educators, economists, and policymakers, First, Do Less Harm concludes with a list of twenty-seven paradoxes and challenges facing everyone interested in making care safe for both patients and those who care for them. |
| examples of healthcare information technology: Home Telehealth: Connecting Care Within the Community Richard Wootton, Susan Dimmick, Joseph Kvedar, 2006-04-28 Home Telehealth is the provision of high-quality care delivered by telecommunications to patients at home. It enables doctors and nurses to see, hear and talk to patients, take their vital signs and even conduct biochemical tests - all at a distance. The application of home telehealth allows for greater efficiency, increasing access to patients in remote regions at a lower cost and can also reduce hospitalisations. Home Telehealth: Connecting Care Within the Community demonstrates how medicine can be applied to homecare and challenges clinicians to consider it in their everyday working practice. This book addresses the evidence-base, the techniques, applications and future implications. It draws together a wide range of topics, including smart homes, wound management, fall monitoring, quarantine applications, chronic disease management, child monitoring, home health monitoring and home dialysis. Written by experts from four continents, this book provides an informative and comprehensive review of best practice in the field. It should prove invaluable for medical practitioners of all kinds, for nurses, health service managers and IT staff. |
| examples of healthcare information technology: The Fourth Industrial Revolution Klaus Schwab, 2017-01-03 World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress. |
| examples of healthcare information technology: Design and Implementation of Health Information Systems World Health Organization Staff, World Health Organization, 2000 This book provides a practical guide to the design and implementation of health information systems in developing countries. Noting that most existing systems fail to deliver timely, reliable, and relevant information, the book responds to the urgent need to restructure systems and make them work as both a resource for routine decisions and a powerful tool for improving health services. With this need in mind, the authors draw on their extensive personal experiences to map out strategies, pinpoint common pitfalls, and guide readers through a host of conceptual and technical options. Information needs at all levels - from patient care to management of the national health system - are considered in this comprehensive guide. Recommended lines of action are specific to conditions seen in government-managed health systems in the developing world. In view of common constraints on time and resources, the book concentrates on strategies that do not require large resources, highly trained staff, or complex equipment. Throughout the book, case studies and numerous practical examples are used to explore problems and illustrate solutions. Details range from a list of weaknesses that plague most existing systems, through advice on when to introduce computers and how to choose appropriate software and hardware, to the hotly debated question of whether patient records should be kept by the patient or filed at the health unit. The book has fourteen chapters presented in four parts. Chapters in the first part, on information for decision-making, explain the potential role of health information as a managerial tool, consider the reasons why this potential is rarely realized, and propose general approaches for reform which have proved successful in several developing countries. Presentation of a six-step procedure for restructuring information systems, closely linked to an organizational model of health services, is followed by a practical discussion of the decision-making process. Reasons for the failure of most health information to influence decisions are also critically assessed. Against this background, the second and most extensive part provides a step-by-step guide to the restructuring of information systems aimed at improving the quality and relevance of data and ensuring their better use in planning and management. Steps covered include the identification of information needs and indicators, assessment of the existing system, and the collection of both routine and non-routine data using recommended procedures and instruments. Chapters also offer advice on procedures for data transmission and processing, and discuss the requirements of systems designed to collect population-based community information. Resource needs and technical tools are addressed in part three. A comprehensive overview of the resource base - from staff and training to the purchase and maintenance of equipment - is followed by chapters offering advice on the introduction of computerized systems in developing countries, and explaining the many applications of geographic information systems. Practical advice on how to restructure a health information system is provided in the final part, which considers how different interest groups can influence the design and implementation of a new system, and proposes various design options for overcoming specific problems. Experiences from several developing countries are used to illustrate strategies and designs in terms of those almost certain to fail and those that have the greatest chances of success |
| examples of healthcare information technology: Electronic Health Records and Medical Big Data Sharona Hoffman, 2016-12-07 This book helps readers gain an in-depth understanding of electronic health record (EHR) systems, medical big data, and the regulations that govern them. It analyzes both the shortcomings and benefits of EHR systems, exploring the law's response to the creation of these systems, highlighting gaps in the current legal framework, and developing detailed recommendations for regulatory, policy, and technological improvements. Electronic Health Records and Medical Big Data addresses not only privacy and security concerns but also other important challenges, such as those related to data quality and data analysis. In addition, the author formulates a large body of recommendations to improve the technology's safety, security, and efficacy for both clinical and secondary (such as research) uses of medical data. |
| examples of healthcare information technology: Innovation in Health Informatics Miltiadis Lytras, Akila Sarirete, 2019-11-13 Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics. - Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies - Presents a case study driven approach, with references to real-world applications and systems - Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers |
| examples of healthcare information technology: An Introduction to Healthcare Informatics Peter Mccaffrey, 2020-07-29 An Introduction to Healthcare Informatics: Building Data-Driven Tools bridges the gap between the current healthcare IT landscape and cutting edge technologies in data science, cloud infrastructure, application development and even artificial intelligence. Information technology encompasses several rapidly evolving areas, however healthcare as a field suffers from a relatively archaic technology landscape and a lack of curriculum to effectively train its millions of practitioners in the skills they need to utilize data and related tools. The book discusses topics such as data access, data analysis, big data current landscape and application architecture. Additionally, it encompasses a discussion on the future developments in the field. This book provides physicians, nurses and health scientists with the concepts and skills necessary to work with analysts and IT professionals and even perform analysis and application architecture themselves. - Presents case-based learning relevant to healthcare, bringing each concept accompanied by an example which becomes critical when explaining the function of SQL, databases, basic models etc. - Provides a roadmap for implementing modern technologies and design patters in a healthcare setting, helping the reader to understand both the archaic enterprise systems that often exist in hospitals as well as emerging tools and how they can be used together - Explains healthcare-specific stakeholders and the management of analytical projects within healthcare, allowing healthcare practitioners to successfully navigate the political and bureaucratic challenges to implementation - Brings diagrams for each example and technology describing how they operate individually as well as how they fit into a larger reference architecture built upon throughout the book |
| examples of healthcare information technology: Costs and Benefits of Health Information Technology Paul G. Shekelle, Caroline Lubick Goldzweig, 2009 This report aims to gather the lessons learnt on the effects of HIT to costs and benefits that might be of use to organisations looking to develop and implement HIT programmes. This is a difficult exercise considering the multiple factors affecting implementation of an HIT programme. Factors include organisational characteristics, the kinds of changes being put in place and how they are managed, and the type of HIT system. The report finds that barriers to HIT implementation are still substantial but that some progress has been made on reporting the organisational factors crucial for the adoption of HIT. However, there is a challenge to adapt the studies and publications from HIT leaders (early implementers and people using HIT to best effect) to offer lessons beyond their local circumstances. The report also finds limited data on the cost-effectiveness of HIT. |
| examples of healthcare information technology: Toward Precision Medicine National Research Council, Division on Earth and Life Studies, Board on Life Sciences, Committee on A Framework for Developing a New Taxonomy of Disease, 2012-01-16 Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for a new taxonomy of human disease based on molecular biology and develops a potential framework for creating one. The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The new taxonomy that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia. Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy. |
Improving Patient Safety and Health Care Quality through …
Hospitals and health systems increasingly use EHRs and other health IT tools to support patient safety and improve care delivery.
Using Health Information Technology to Support Quality …
information technology (IT) by primary care practices to facilitate quality improvement (QI) can help practices improve their ability to deliver high quality care and improve patient outcomes.
INFORMATION SYSTEMS IN HEALTHCARE: IMPROVING …
the power of information technology, healthcare providers can streamline workflows, enhance communication, make data-driven decisions, and ultimately deliver better patient outcomes.
Integrating Informatics And Information Technology Best …
health information technology analysis, planning, implementation, and evaluation. With the prevalence of patient-focused health information technologies, all nurses have a responsibility …
INFORMATION AND COMMUNICATION TECHNOLOGIES FOR …
Abstract: ICT for health—or eHealth—solutions hold great potential for generating systemic efficiencies by strengthening five critical pillars of a health system: human resources for health, …
The impact of Healthcare IT on clinical quality, productivity …
Adoption of health information and communication technologies (“HICT”) has surged over the past two decades. We survey the medical and economic literature on HICT adoption and its impact …
Health Information Technology for Ambulatory Care in Health …
We examine recent trends in health IT adoption by health system–affiliated ambulatory clinics in the context of the federal government’s Meaningful Use and Promoting Interoperability programs.
Guide to Understanding Health Technology Assessment (HTA) …
Health technology assessment (HTA) is a formal, systematic research process designed to synthesize and evaluate the existing evidence for a medical treatment or health delivery …
Health Information Technology Glossary of Terms
Health information technology: The hardware and software used to store, retrieve, share, and use clinical information to treat patients effectively. Interoperability: The ability of various HIT …
2020-2025 Federal Health IT Strategic Plan - ONC
Healthcare providers and healthcare organizations can use health IT to input and reference their patients’ health information to make clinical decisions, create care plans, exchange health …
Successful Strategies for Implementing Health Information …
Health information technology (HIT) owner-practitioners who adopt effective strategies for HIT implementation can improve primary facility care delivery and profitability. However, some HIT …
Healthcare Information Technology (HCIT): Opportunities in a …
Learn more about healthcare information technology opportunities and how innovative products and solutions can improve effectiveness, increase patient satisfaction and reduce costs. …
Advanced Use of Health Information Technology to Support …
A growing number of hospitals and health systems are implementing new models of care delivery and payment that focus on enhanced care coordination and value, such as accountable care …
Information Technology Interoperability and Use for Better …
Health information technology (HIT) has been seen as a vehicle for improving the quality and safety of health care, for gaining more accountability and value in purchasing, for advancing …
Health Information Technology Implementation: Implications …
Health information technology (HIT) is defined as the “electronic storage and retrieval systems that support financial, clinical, and operational needs” of a health care facility. 1 The …
Measuring the Costs and Benefits of Health Care Information …
Health care IT executives understand the difficulty of delivering accurate, relevant numbers to support a pure business case for IT investment.
Health Information Technology: a Tool to Help Clinicians Do …
Health information technology (health IT) is an important tool that you can use to improve clinical practice and the health of your patients. Health IT can help health care professionals to do …
Health Information Technology Benefits and Problems
Proponents of health information technology (HIT) often claim that the United States lags behind other developed countries when it comes to the use of electronic medical records (EMRs), …
Health IT Risk Management - Association for the …
healthcare systems improve risk management actions in three crucial areas: 1. safety culture, including shared responsibility and involvement among healthcare organizations, clinicians, …
What Is Health Information Technology Fact Sheet
The term “health information technology” (health IT) refers to the electronic systems health care professionals – and increasingly, patients – use to store, share, and analyze health …
Improving Patient Safety and Health Care Quality through …
Hospitals and health systems increasingly use EHRs and other health IT tools to support patient safety and improve care delivery.
Using Health Information Technology to Support Quality …
information technology (IT) by primary care practices to facilitate quality improvement (QI) can help practices improve their ability to deliver high quality care and improve patient outcomes.
INFORMATION SYSTEMS IN HEALTHCARE: IMPROVING …
the power of information technology, healthcare providers can streamline workflows, enhance communication, make data-driven decisions, and ultimately deliver better patient outcomes.
Integrating Informatics And Information Technology Best …
health information technology analysis, planning, implementation, and evaluation. With the prevalence of patient-focused health information technologies, all nurses have a responsibility …
INFORMATION AND COMMUNICATION TECHNOLOGIES …
Abstract: ICT for health—or eHealth—solutions hold great potential for generating systemic efficiencies by strengthening five critical pillars of a health system: human resources for health, …
The impact of Healthcare IT on clinical quality, productivity …
Adoption of health information and communication technologies (“HICT”) has surged over the past two decades. We survey the medical and economic literature on HICT adoption and its impact …
Health Information Technology for Ambulatory Care in …
We examine recent trends in health IT adoption by health system–affiliated ambulatory clinics in the context of the federal government’s Meaningful Use and Promoting Interoperability programs.
Guide to Understanding Health Technology Assessment …
Health technology assessment (HTA) is a formal, systematic research process designed to synthesize and evaluate the existing evidence for a medical treatment or health delivery …
Health Information Technology Glossary of Terms
Health information technology: The hardware and software used to store, retrieve, share, and use clinical information to treat patients effectively. Interoperability: The ability of various HIT …
2020-2025 Federal Health IT Strategic Plan - ONC
Healthcare providers and healthcare organizations can use health IT to input and reference their patients’ health information to make clinical decisions, create care plans, exchange health …
Successful Strategies for Implementing Health …
Health information technology (HIT) owner-practitioners who adopt effective strategies for HIT implementation can improve primary facility care delivery and profitability. However, some HIT …
Healthcare Information Technology (HCIT): Opportunities in …
Learn more about healthcare information technology opportunities and how innovative products and solutions can improve effectiveness, increase patient satisfaction and reduce costs. …
Advanced Use of Health Information Technology to …
A growing number of hospitals and health systems are implementing new models of care delivery and payment that focus on enhanced care coordination and value, such as accountable care …
Information Technology Interoperability and Use for Better …
Health information technology (HIT) has been seen as a vehicle for improving the quality and safety of health care, for gaining more accountability and value in purchasing, for advancing …
Health Information Technology Implementation: …
Health information technology (HIT) is defined as the “electronic storage and retrieval systems that support financial, clinical, and operational needs” of a health care facility. 1 The …
Measuring the Costs and Benefits of Health Care …
Health care IT executives understand the difficulty of delivering accurate, relevant numbers to support a pure business case for IT investment.
Health Information Technology: a Tool to Help Clinicians …
Health information technology (health IT) is an important tool that you can use to improve clinical practice and the health of your patients. Health IT can help health care professionals to do …
Health Information Technology Benefits and Problems
Proponents of health information technology (HIT) often claim that the United States lags behind other developed countries when it comes to the use of electronic medical records (EMRs), …
Health IT Risk Management - Association for the …
healthcare systems improve risk management actions in three crucial areas: 1. safety culture, including shared responsibility and involvement among healthcare organizations, clinicians, …
