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electronic health record history timeline: 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. |
electronic health record history timeline: 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. |
electronic health record history timeline: The Role of Telehealth in an Evolving Health Care Environment Institute of Medicine, Board on Health Care Services, 2012-11-20 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. |
electronic health record history timeline: Electronic Health Records for Quality Nursing and Health Care Tiffany Kelley, 2016-02-16 Provides foundational knowledge and understanding of the implementation and use of electronic health records (EHRs)Explains the system design life cycle of an electronic health record implementationProvides methods for evaluating patient and population health outcomesNumerous appendices provide supporting material and examples including a project timeline, workflow process map, and test script examples This comprehensive reference provides foundational knowledge on electronic health records (EHRs) for the delivery of quality nursing care. Chapters cover descriptions of EHR components and functions, federal regulations within the HITECH Act, privacy and security considerations, interfaces and interoperability, design, building, testing, implementation, maintenance and evaluating outcomes. Key reference for nurse executives, nurse directors, nurse managers, advanced practice nurses, nurse researchers, nurse educators, and nurse informaticists. Foreword by: W. Ed Hammond, Ph.D., FACMI, FAIMBE, FHL7, FIMIA |
electronic health record history timeline: 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. |
electronic health record history timeline: Healthcare Data Analytics Chandan K. Reddy, Charu C. Aggarwal, 2015-06-23 At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available |
electronic health record history timeline: Electronic Health Records Margret Amatayakul, 2013-04-01 Revised and updated to include the latest trends and applications in electronic health records, this fifth edition of Electronic Health Records: A Practical Guide for Professionals and Organizations offers step-by-step guidelines for developing and implementing EHR strategies for healthcare organizations. New to This Edition: 2013 Update Addresses the expanded interaction among HIM professionals and system users, IT professionals, vendors, patients and their family, and others. Additions and updates include: Meaningful use (MU) definitions, objectives, standards, and measures Digital appendix on meaningful use stages ONC EHR certification programs Vision for health reform and enhanced HIPAA administrative simplification requirements under ACA Workflow, thoughtflow, and process management Strategies for managing e-discovery and the legal health record in an EHR environment Tools for cost-benefit analysis and benefits realization for EHR Update on hospital resources for core EHR components, medical device integration, and beyond Update on physician practice resources Final Rule update on ARRA/HITECH privacy and security guidelines Update on risk analysis and medical identity theft Practical uses of SNOMED-encoded data Expanded coverage on HIE, PHRs, and consumer empowerment New chapter on specialty-specific EHRs New and expanded downloadable resources Instructor access to online EHR simulation modules |
electronic health record history timeline: Clinical Text Mining Hercules Dalianis, 2018-05-14 This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields. |
electronic health record history timeline: Factors Affecting Physician Professional Satisfaction and Their Implications for Patient Care, Health Systems, and Health Policy Mark W. Friedberg, 2013-10-09 This report presents the results of a series of surveys and semistructured interviews intended to identify and characterize determinants of physician professional satisfaction. |
electronic health record history timeline: CMBEBIH 2021 Almir Badnjevic, Lejla Gurbeta Pokvić, 2021-06-01 This book presents cutting-edge research and developments in the field of medical and biological engineering. It gathers the proceedings of the International Conference on Medical and Biological Engineering, CMBEBIH 2021, held partly virtually, partly physically, on April 21–24, 2021, from and in Mostar, Bosnia and Herzegovina. Focusing on the goal to ‘Stay Focused’, contributions report on both basic and applied research in a wide range of related fields, such as biomedical signal processing, medical physics and imaging, biosensors and micro/nanotechnologies, biomaterials, biomechanics and robotics, cardiorespiratory, endocrine and neural systems engineering. Novel models, methods and technologies for bio- and health informatics, as well as applications of machine learning and AI in health care, and advances in genetic engineering are also highlighted. All in all, this book provides academics and professionals with novel, practical solutions to solve the current problems in biomedical research and applications, and a source of inspiration for improving medicine and health care in the future. |
electronic health record history timeline: The Electronic Health Record Eike-Henner W. Kluge, 2020-02-28 The Electronic Health Record: Ethical Considerations analyses the ethical issues that surround the construction, maintenance, storage, use, linkage, manipulation and communication of electronic health records. Its purpose is to provide ethical guidance to formulate and implement policies at the local, national and global level, and to provide the basis for global certification in health information ethics. Electronic health records (EHRs) are increasingly replacing the use of paper-based records in the delivery of health care. They are integral to providing eHealth, telehealth, mHealth and pHealth - all of which are increasingly replacing direct and personal physician-patient interaction - as well as in the developing field of artificial intelligence and expert systems in health care. The book supplements considerations that are raised by national and international regulations dealing with electronic records in general, for instance the General Data Protection Regulation of the European Union. This book is a valuable resource for physicians, health care administrators and workers, IT service providers and several members of biomedical field who are interested in learning more about how to ethically manage health data. |
electronic health record history timeline: Capturing Social and Behavioral Domains and Measures in Electronic Health Records Institute of Medicine, Board on Population Health and Public Health Practice, Committee on the Recommended Social and Behavioral Domains and Measures for Electronic Health Records, 2015-01-08 Determinants of health - like physical activity levels and living conditions - have traditionally been the concern of public health and have not been linked closely to clinical practice. However, if standardized social and behavioral data can be incorporated into patient electronic health records (EHRs), those data can provide crucial information about factors that influence health and the effectiveness of treatment. Such information is useful for diagnosis, treatment choices, policy, health care system design, and innovations to improve health outcomes and reduce health care costs. Capturing Social and Behavioral Domains and Measures in Electronic Health Records: Phase 2 identifies domains and measures that capture the social determinants of health to inform the development of recommendations for the meaningful use of EHRs. This report is the second part of a two-part study. The Phase 1 report identified 17 domains for inclusion in EHRs. This report pinpoints 12 measures related to 11 of the initial domains and considers the implications of incorporating them into all EHRs. This book includes three chapters from the Phase 1 report in addition to the new Phase 2 material. Standardized use of EHRs that include social and behavioral domains could provide better patient care, improve population health, and enable more informative research. The recommendations of Capturing Social and Behavioral Domains and Measures in Electronic Health Records: Phase 2 will provide valuable information on which to base problem identification, clinical diagnoses, patient treatment, outcomes assessment, and population health measurement. |
electronic health record history timeline: Electronic Health Records For Dummies Trenor Williams, Anita Samarth, 2010-12-03 The straight scoop on choosing and implementing an electronic health records (EHR) system Doctors, nurses, and hospital and clinic administrators are interested in learning the best ways to implement and use an electronic health records system so that they can be shared across different health care settings via a network-connected information system. This helpful, plain-English guide provides need-to-know information on how to choose the right system, assure patients of the security of their records, and implement an EHR in such a way that it causes minimal disruption to the daily demands of a hospital or clinic. Offers a plain-English guide to the many electronic health records (EHR) systems from which to choose Authors are a duo of EHR experts who provide clear, easy-to-understand information on how to choose the right EHR system an implement it effectively Addresses the benefits of implementing an EHR system so that critical information (such as medication, allergies, medical history, lab results, radiology images, etc.) can be shared across different health care settings Discusses ways to talk to patients about the security of their electronic health records Electronic Health Records For Dummies walks you through all the necessary steps to successfully choose the right EHR system, keep it current, and use it effectively. |
electronic health record history timeline: Visualization of Time-Oriented Data Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski, 2011-05-30 Time is an exceptional dimension that is common to many application domains such as medicine, engineering, business, or science. Due to the distinct characteristics of time, appropriate visual and analytical methods are required to explore and analyze them. This book starts with an introduction to visualization and historical examples of visual representations. At its core, the book presents and discusses a systematic view of the visualization of time-oriented data along three key questions: what is being visualized (data), why something is visualized (user tasks), and how it is presented (visual representation). To support visual exploration, interaction techniques and analytical methods are required that are discussed in separate chapters. A large part of this book is devoted to a structured survey of 101 different visualization techniques as a reference for scientists conducting related research as well as for practitioners seeking information on how their time-oriented data can best be visualized. |
electronic health record history timeline: Public Health Informatics and Information Systems J.A. Magnuson, Paul C. Fu, Jr., 2013-11-29 This revised edition covers all aspects of public health informatics and discusses the creation and management of an information technology infrastructure that is essential in linking state and local organizations in their efforts to gather data for the surveillance and prevention. Public health officials will have to understand basic principles of information resource management in order to make the appropriate technology choices that will guide the future of their organizations. Public health continues to be at the forefront of modern medicine, given the importance of implementing a population-based health approach and to addressing chronic health conditions. This book provides informatics principles and examples of practice in a public health context. In doing so, it clarifies the ways in which newer information technologies will improve individual and community health status. This book's primary purpose is to consolidate key information and promote a strategic approach to information systems and development, making it a resource for use by faculty and students of public health, as well as the practicing public health professional. Chapter highlights include: The Governmental and Legislative Context of Informatics; Assessing the Value of Information Systems; Ethics, Information Technology, and Public Health; and Privacy, Confidentiality, and Security. Review questions are featured at the end of every chapter. Aside from its use for public health professionals, the book will be used by schools of public health, clinical and public health nurses and students, schools of social work, allied health, and environmental sciences. |
electronic health record history timeline: Biomedical Informatics Edward H. Shortliffe, James J. Cimino, 2013-12-02 The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies. |
electronic health record history timeline: Data Visualization Strategies for the Electronic Health Record Blake J. Lesselroth, David S. Pieczkiewicz, 2011 Today's capacious medical information systems have increased the amount and availability of general medical knowledge and patient-specific data. And yet, information gaps at the point-of-care are widening; clinicians are under increased pressure to synthesize best-evidence, review more patient data and complete more clinical tasks in less time. To meet the information-intensive needs of the 21st century clinician, the electronic health record (EHR) must evolve beyond a digital representation of the paper chart. This new book reviews some of the ubiquitous technical barriers impeding information management at the point-of-care and discusses strategies for better data visualization including multimedia displays, clinical dashboards, concept-oriented views, metaphor graphics and probability analytics. |
electronic health record history timeline: Implementing an Electronic Health Record System James M. Walker, Eric J. Bieber, Frank Richards, Sandra Buckley, 2006-08-07 - Practical in its scope and coverage, the authors have provided a tool-kit for the medical professional in the often complex field of medical informatics - All editors are from the Geisinger Health System, which has one of the largest Electron Health systmes in the USA, and is high in the list of the AMIA 100 Most Wire healthcare systems - Describes the latest successes and pitfalls |
electronic health record history timeline: 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. |
electronic health record history timeline: 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. |
electronic health record history timeline: Better EHR Jiajie Zhang (Professor of biomedical informatics), Muhammad Walji, 2014-10-01 Electronic Health Records (EHR) offer great potential to increase healthcare efficiency, improve patient safety, and reduce health costs. The adoption of EHRs among office-based physicians in the US has increased from 20% ten years ago to over 80% in 2014. Among acute care hospitals in US, the adoption rate today is approaching 100%. Finding relevant patient information in electronic health records' (EHRs) large datasets is difficult, especially when organized only by data type and time. Automated clinical summarization creates condition-specific displays, promising improved clinician efficiency. However, automated summarization requires new kinds of clinical knowledge (e.g., problem-medication relationships). |
electronic health record history timeline: 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 |
electronic health record history timeline: Rethinking the Electronic Healthcare Record Martin Wehlou, 2014-08-31 Current electronic healthcare record (EHR) systems utterly fail to assist doctors and nurses in their work; designed without recognizing the actual needs of those users, but rather solving mostly administrative problems instead. This failure results in an ongoing lack of safety and efficiency in care delivery. We need to do much better. This book lays out how an effective EHR system should be built to deliver effective support for a doctor throughout the phases of her profession, from how a doctor learns her profession, to how she examines a patient, analyzes clinical findings, reaches conclusions, and finally applies therapy. The result is accurate, economic, safe, and consistent healthcare. |
electronic health record history timeline: Key Capabilities of an Electronic Health Record System Institute of Medicine, Board on Health Care Services, Committee on Data Standards for Patient Safety, 2003-07-31 Commissioned by the Department of Health and Human Services, Key Capabilities of an Electronic Health Record System provides guidance on the most significant care delivery-related capabilities of electronic health record (EHR) systems. There is a great deal of interest in both the public and private sectors in encouraging all health care providers to migrate from paper-based health records to a system that stores health information electronically and employs computer-aided decision support systems. In part, this interest is due to a growing recognition that a stronger information technology infrastructure is integral to addressing national concerns such as the need to improve the safety and the quality of health care, rising health care costs, and matters of homeland security related to the health sector. Key Capabilities of an Electronic Health Record System provides a set of basic functionalities that an EHR system must employ to promote patient safety, including detailed patient data (e.g., diagnoses, allergies, laboratory results), as well as decision-support capabilities (e.g., the ability to alert providers to potential drug-drug interactions). The book examines care delivery functions, such as database management and the use of health care data standards to better advance the safety, quality, and efficiency of health care in the United States. |
electronic health record history timeline: Fundamentals of Clinical Data Science Pieter Kubben, Michel Dumontier, Andre Dekker, 2018-12-21 This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience. |
electronic health record history timeline: AI-First Healthcare Kerrie L. Holley, Siupo Becker M.D., 2021-04-19 AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application |
electronic health record history timeline: The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age Robert Wachter, 2015-04-10 The New York Times Science Bestseller from Robert Wachter, Modern Healthcare’s #1 Most Influential Physician-Executive in the US While modern medicine produces miracles, it also delivers care that is too often unsafe, unreliable, unsatisfying, and impossibly expensive. For the past few decades, technology has been touted as the cure for all of healthcare’s ills. But medicine stubbornly resisted computerization – until now. Over the past five years, thanks largely to billions of dollars in federal incentives, healthcare has finally gone digital. Yet once clinicians started using computers to actually deliver care, it dawned on them that something was deeply wrong. Why were doctors no longer making eye contact with their patients? How could one of America’s leading hospitals give a teenager a 39-fold overdose of a common antibiotic, despite a state-of-the-art computerized prescribing system? How could a recruiting ad for physicians tout the absence of an electronic medical record as a major selling point? Logically enough, we’ve pinned the problems on clunky software, flawed implementations, absurd regulations, and bad karma. It was all of those things, but it was also something far more complicated. And far more interesting . . . Written with a rare combination of compelling stories and hard-hitting analysis by one of the nation’s most thoughtful physicians, The Digital Doctor examines healthcare at the dawn of its computer age. It tackles the hard questions, from how technology is changing care at the bedside to whether government intervention has been useful or destructive. And it does so with clarity, insight, humor, and compassion. Ultimately, it is a hopeful story. We need to recognize that computers in healthcare don’t simply replace my doctor’s scrawl with Helvetica 12, writes the author Dr. Robert Wachter. Instead, they transform the work, the people who do it, and their relationships with each other and with patients. . . . Sure, we should have thought of this sooner. But it’s not too late to get it right. This riveting book offers the prescription for getting it right, making it essential reading for everyone – patient and provider alike – who cares about our healthcare system. |
electronic health record history timeline: Computer-stored Ambulatory Record (COSTAR) Barnett, G. Octo, G. Octo Barnett, 1976 Summarizes a 70-page report of the same title describing the first successful automated medical record in a Health Maintenance Organization, the Harvard Community Health Plan. |
electronic health record history timeline: Telemedicine Institute of Medicine, Committee on Evaluating Clinical Applications of Telemedicine, 1996-10-08 Telemedicineâ€the use of information and telecommunications technologies to provide and support health care when distance separates the participantsâ€is receiving increasing attention not only in remote areas where health care access is troublesome but also in urban and suburban locations. Yet the benefits and costs of this blend of medicine and digital technologies must be better demonstrated before today's cautious decision-makers invest significant funds in its development. Telemedicine presents a framework for evaluating patient care applications of telemedicine. The book identifies managerial, technical, policy, legal, and human factors that must be taken into account in evaluating a telemedicine program. The committee reviews previous efforts to establish evaluation frameworks and reports on results from several completed studies of image transmission, consulting from remote locations, and other telemedicine programs. The committee also examines basic elements of an evaluation and considers relevant issues of quality, accessibility, and cost of health care. Telemedicine will be of immediate interest to anyone with interest in the clinical application of telemedicine. |
electronic health record history timeline: Cardiology Explained Euan A. Ashley, Euan Ashley, Josef Niebauer, 2004 One of the most time-consuming tasks in clinical medicine is seeking the opinions of specialist colleagues. There is a pressure not only to make referrals appropriate but also to summarize the case in the language of the specialist. This book explains basic physiologic and pathophysiologic mechanisms of cardiovascular disease in a straightforward manner, gives guidelines as to when referral is appropriate, and, uniquely, explains what the specialist is likely to do. It is ideal for any hospital doctor, generalist, or even senior medical student who may need a cardiology opinion, or for that ma. |
electronic health record history timeline: Mental Health Informatics Jessica D. Tenenbaum, Piper A. Ranallo, 2021-11-18 This textbook provides a detailed resource introducing the subdiscipline of mental health informatics. It systematically reviews the methods, paradigms, tools and knowledge base in both clinical and bioinformatics and across the spectrum from research to clinical care. Key foundational technologies, such as terminologies, ontologies and data exchange standards are presented and given context within the complex landscape of mental health conditions, research and care. The learning health system model is utilized to emphasize the bi-directional nature of the translational science associated with mental health processes. Descriptions of the data, technologies, paradigms and products that are generated by and used in each process and their limitations are discussed. Mental Health Informatics: Enabling a Learning Mental Healthcare System is a comprehensive introductory resource for students, educators and researchers in mental health informatics and related behavioral sciences. It is an ideal resource for use in a survey course for both pre- and post-doctoral training programs, as well as for healthcare administrators, funding entities, vendors and product developers working to make mental healthcare more evidence-based. |
electronic health record history timeline: Advances in Information and Communication Kohei Arai, 2021-04-15 This book aims to provide an international forum for scholarly researchers, practitioners and academic communities to explore the role of information and communication technologies and its applications in technical and scholarly development. The conference attracted a total of 464 submissions, of which 152 submissions (including 4 poster papers) have been selected after a double-blind review process. Academic pioneering researchers, scientists, industrial engineers and students will find this series useful to gain insight into the current research and next-generation information science and communication technologies. This book discusses the aspects of communication, data science, ambient intelligence, networking, computing, security and Internet of things, from classical to intelligent scope. The authors hope that readers find the volume interesting and valuable; it gathers chapters addressing tate-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. |
electronic health record history timeline: MEDINFO 2017: Precision Healthcare Through Informatics A.V. Gundlapalli, M.-C. Jaulent, D. Zhao, 2018-01-31 Medical informatics is a field which continues to evolve with developments and improvements in foundational methods, applications, and technology, constantly offering opportunities for supporting the customization of healthcare to individual patients. This book presents the proceedings of the 16th World Congress of Medical and Health Informatics (MedInfo2017), held in Hangzhou, China, in August 2017, which also marked the 50th anniversary of the International Medical Informatics Association (IMIA). The central theme of MedInfo2017 was Precision Healthcare through Informatics, and the scientific program was divided into five tracks: connected and digital health; human data science; human, organizational, and social aspects; knowledge management and quality; and safety and patient outcomes. The 249 accepted papers and 168 posters included here span the breadth and depth of sub-disciplines in biomedical and health informatics, such as clinical informatics; nursing informatics; consumer health informatics; public health informatics; human factors in healthcare; bioinformatics; translational informatics; quality and safety; research at the intersection of biomedical and health informatics; and precision medicine. The book will be of interest to all those who wish to keep pace with advances in the science, education, and practice of biomedical and health informatics worldwide. |
electronic health record history timeline: Healthcare Information Management Systems Marion J. Ball, Charlotte Weaver, Joan Kiel, Donald W. Simborg, Judith V. Douglas, James W. Albright, 2013-04-17 Aimed at health care professionals, this book looks beyond traditional information systems and shows how hospitals and other health care providers can attain a competitive edge. Speaking practitioner to practitioner, the authors explain how they use information technology to manage their health care institutions and to support the delivery of clinical care. This second edition incorporates the far-reaching advances of the last few years, which have moved the field of health informatics from the realm of theory into that of practice. Major new themes, such as a national information infrastructure and community networks, guidelines for case management, and community education and resource centres are added, while such topics as clinical and blood banking have been thoroughly updated. |
electronic health record history timeline: 2022 Hospital Compliance Assessment Workbook Joint Commission Resources, 2021-12-30 |
electronic health record history timeline: Building Capacity for Health Informatics in the Future F. Lau, J.A. Bartle-Clar, G. Bliss, 2017-03 Health information technologies are revolutionizing and streamlining healthcare, and uptake continues to rise dramatically. If these technologies are to be effectively implemented, capacity must be built at a regional, national and global level, and the support and involvement of both government and industry will be vital. This book presents the proceedings of the 2017 Information Technology and Communications in Health conference (ITCH 2017), held in Victoria, BC, Canada, in February 2017. The conference considers, from a variety of perspectives, what is required to move the technology forward to real, sustained and widespread use, and the solutions examined range from improvements in usability and training to the need for new and improved design of information systems, user interfaces and interoperable solutions. Government policies, mandates, initiatives and the need for regulation are also explored, as is the requirement for improved interaction between industrial, governmental and academic partners. With its focus on building the next generation of health informatics and the capacity required to deliver better healthcare worldwide, this book will be of interest to all those involved in the provision of healthcare. |
electronic health record history timeline: The Future of Public Health Committee for the Study of the Future of Public Health, Division of Health Care Services, Institute of Medicine, 1988-01-15 The Nation has lost sight of its public health goals and has allowed the system of public health to fall into 'disarray', from The Future of Public Health. This startling book contains proposals for ensuring that public health service programs are efficient and effective enough to deal not only with the topics of today, but also with those of tomorrow. In addition, the authors make recommendations for core functions in public health assessment, policy development, and service assurances, and identify the level of government--federal, state, and local--at which these functions would best be handled. |
electronic health record history timeline: Organization Development in Healthcare Jason A. Wolf, Mark J. Moir, Heather Hanson, Leonard H. Friedman, Grant T. Savage, 2011-07-12 This collection of critical ideas relating organization science to operations and accomplishments in the health care environment provides a thematic guide for leaders, practitioners, academics and administrators. It pulls in a broad cross-section of perspectives on the important linkage of scholarship and practice with a solid global perspective. |
electronic health record history timeline: Clinical Decision Support Robert Greenes, 2014-03-26 With at least 40% new or updated content since the last edition, Clinical Decision Support, 2nd Edition explores the crucial new motivating factors poised to accelerate Clinical Decision Support (CDS) adoption. This book is mostly focused on the US perspective because of initiatives driving EHR adoption, the articulation of 'meaningful use', and new policy attention in process including the Office of the National Coordinator for Health Information Technology (ONC) and the Center for Medicare and Medicaid Services (CMS). A few chapters focus on the broader international perspective. Clinical Decision Support, 2nd Edition explores the technology, sources of knowledge, evolution of successful forms of CDS, and organizational and policy perspectives surrounding CDS. Exploring a roadmap for CDS, with all its efficacy benefits including reduced errors, improved quality, and cost savings, as well as the still substantial roadblocks needed to be overcome by policy-makers, clinicians, and clinical informatics experts, the field is poised anew on the brink of broad adoption. Clinical Decision Support, 2nd Edition provides an updated and pragmatic view of the methodological processes and implementation considerations. This book also considers advanced technologies and architectures, standards, and cooperative activities needed on a societal basis for truly large-scale adoption. At least 40% updated, and seven new chapters since the previous edition, with the new and revised content focused on new opportunities and challenges for clinical decision support at point of care, given changes in science, technology, regulatory policy, and healthcare finance Informs healthcare leaders and planners, health IT system developers, healthcare IT organization leaders and staff, clinical informatics professionals and researchers, and clinicians with an interest in the role of technology in shaping healthcare of the future |
electronic health record history timeline: New Perspectives in Medical Records Giovanni Rinaldi, 2017-03-18 This book provides innovative practical suggestions regarding the production and management of medical records that are designed to address the inconsistencies and errors that have been highlighted especially in relation to national eHealth programs. Challenges and lessons that have emerged from the use of clinical information and the design of medical records are discussed, and principles underpinning the implementation of health IT are critically examined. New trends in the use of clinical data are explored in depth, with analysis of issues relating to integration and sharing of patient information, data visualization, big data analytics, and the requirements of modern electronic health records. The spirit pervading the book is one of co-production, in which the needs of practitioners are taken into account from the outset. Readers will learn the basic concepts of how clinical information emanating from the doctor–patient relationship can be effectively integrated with genetic and environmental data and analyzed by complex algorithms with the goal of improving medical decision making and patient care. The book, written by European experts and researchers, will be of interest to all stakeholders in the field, including doctors, technicians, and policy makers. |
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