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Page 1: Biomedical Informatics - Springer978-1-4471-4474-8/1.pdf · The ourth F Edition of Biomedical Informatics : Computer Applications in Health Care and Biomedicine is dedicated to the

Biomedical Informatics

Page 2: Biomedical Informatics - Springer978-1-4471-4474-8/1.pdf · The ourth F Edition of Biomedical Informatics : Computer Applications in Health Care and Biomedicine is dedicated to the
Page 3: Biomedical Informatics - Springer978-1-4471-4474-8/1.pdf · The ourth F Edition of Biomedical Informatics : Computer Applications in Health Care and Biomedicine is dedicated to the

Edward H. Shortliffe • James J. Cimino Editors

Biomedical Informatics

Computer Applications in Health Care and Biomedicine

Fourth Edition

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ISBN 978-1-4471-4473-1 ISBN 978-1-4471-4474-8 (eBook) DOI 10.1007/978-1-4471-4474-8 Springer London Heidelberg New York Dordrecht

Library of Congress Control Number: 2013955588

© Springer-Verlag London 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifi cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfi lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifi cally for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher's location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifi c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.

Printed on acid-free paper

Springer is part of Springer Science+Business Media (www.springer.com)

Editors Edward H. Shortliffe, MD, PhD Departments of Biomedical Informaticsat Columbia University and Arizona State University New York, NY USA

James J. Cimino, MD Bethesda, MD USA

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Dedicated to Homer R. Warner, MD, PhD, FACMI A Principal Founder of the Field of Biomedical Informatics 1922–2012

The Fourth Edition of Biomedical Informatics : Computer Applications in Health Care and Biomedicine is dedicated to the memory and professional contributions of Homer R. Warner. Homer was not only a pioneer in biomedi-cal informatics but a sustained contributor who is truly one of the founders of the fi eld that mourned his loss in November of 2012. Homer’s publications on the use of computers in health care span 50 years, from 1963 to 2012, but he can claim an additional decade of informatics research that predated digital computer use, including the use of analog computers and mathematical models ranging from details of cardiac function all the way up to medical diagnosis. 1

He is best known for his development of the Health Evaluation through Logical Processing (HELP) system, which was revolutionary in its own right as a hospital information system, but was truly visionary in its inclusion of the logical modules for generating alerts and reminders. The HELP system,

1 Warner, H. R., Toronto, A. F., Veasey, L. G., & Stephenson, R. 1961. A mathematical approach to medical diagnosis. Application to congenital heart disease. JAMA: The Journal of the American Medical Association, 177 , 177–183.

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begun in 1968, is still running today at the LDS Hospital in Salt Lake City; innovations are continually added while commercial systems struggle to rep-licate functions that HELP has had for almost half a century. Homer’s other contributions are far too numerous to recount here, but you will fi nd them described in no less than six different chapters of this book.

Homer’s contributions go far beyond merely the scientifi c foundation of bio-medical informatics. He also provided extensive leadership to defi ne informatics as a separate academic fi eld. He accomplished this in many settings; locally by founding the fi rst degree-granting informatics department at the University of Utah, nationally as the President of the American College of Medical Informatics, and internationally as the founding editor of the well-known and infl uential jour-nal Computers and Biomedical Research (now the Journal of Biomedical Informatics ). But perhaps his greatest impact is the generations of researchers and trainees that he personally inspired who have gone on to mentor additional researchers and trainees who together are the life blood of biomedical informat-ics. Homer’s true infl uence on the fi eld is therefore incalculable. Just consider the convenience sample of this book’s 60 chapter co-authors: the following diagram shows his lineage of professional infl uence on 52 of us. 2

Both of us were privileged to have many professional and personal inter-actions with Homer and we were always struck by his enthusiasm, energy, humor, generosity, and integrity. In 1994, Homer received the American College of Medical Informatics’ highest honor, the Morris F Collen Award of Excellence. We are proud to have this opportunity to add to the recognition of Homer’s life and career with this dedication.

James J. Cimino Edward H. Shortliffe

2 Paul Clayton and Peter Szolovits provide important connections between Homer Warner and ten coauthors but, while they are informatics leaders in their own right, they are not contributors to this edition of this book.

Homer R. Warner

G. Octo Barnett

Edward H. Shortliffe

Paul C. Tang Blackford Middleton

Mark A. Musen

Daniel L. Rubin Nigam Shah

Holly Jimison

Robert A. Greenes

Suzanne Bakken

Patricia Dykes

Kevin B. Johnson

Russ B. Altman

Sean D. MooneyJessica Tenenbaum

Parvati Dev

Mark E. Frisse

David W. Bates

Robert Rudin

Jonathan Silverstein

William Hersh

Peter Embi

William A. Yasnoff

James J. Cimino

Vimla L. Patel

David R. Kaufman

Clement J. McDonald

Paul D. Clayton

Carol Friedman

George Hripcsak

Adam WilcoxNoémie Elhadad

Justin B. Starren

Philip Payne Michael Chiang

Lynn Vogel

Scott NarusStanley M. Huff

Reed M. GardnerScott Evans

David Vawdrey

W. Edward Hammond

Ian Foster

Terry Clemmer

Roger B. Mark

Randolph A. Miller

Judy G. Ozbolt

Charles P. FriedmanValerie Florance

Douglas K. OwensJames Brinkley

Peter Szolovits

Issac Kohane

Kenneth Mandl

Kenneth W. Goodman

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The world of biomedical research and health care has changed remarkably in the 25 years since the fi rst edition of this book was undertaken. So too has the world of computing and communications and thus the underlying scientifi c issues that sit at the intersections among biomedical science, patient care, pub-lic health, and information technology. It is no longer necessary to argue that it has become impossible to practice modern medicine, or to conduct modern biological research, without information technologies. Since the initiation of the human genome project two decades ago, life scientists have been generat-ing data at a rate that defi es traditional methods for information management and data analysis. Health professionals also are constantly reminded that a large percentage of their activities relates to information management—for example, obtaining and recording information about patients, consulting col-leagues, reading and assessing the scientifi c literature, planning diagnostic procedures, devising strategies for patient care, interpreting results of labora-tory and radiologic studies, or conducting case-based and population-based research. It is complexity and uncertainty, plus society’s overriding concern for patient well-being, and the resulting need for optimal decision making, that set medicine and health apart from many other information- intensive fi elds. Our desire to provide the best possible health and health care for our society gives a special signifi cance to the effective organization and management of the huge bodies of data with which health professionals and biomedical researchers must deal. It also suggests the need for specialized approaches and for skilled scientists who are knowledgeable about human biology, clinical care, information technologies, and the scientifi c issues that drive the effective use of such technologies in the biomedical context.

Information Management in Biomedicine

The clinical and research infl uence of biomedical-computing systems is remarkably broad. Clinical information systems, which provide communica-tion and information-management functions, are now installed in essentially all healthcare institutions. Physicians can search entire drug indexes in a few seconds, using the information provided by a computer program to anticipate harmful side effects or drug interactions. Electrocardiograms (ECGs) are typically analyzed initially by computer programs, and similar techniques are being applied for interpretation of pulmonary-function tests and a variety of

Preface to the Fourth Edition

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laboratory and radiologic abnormalities. Devices with embedded processors routinely monitor patients and provide warnings in critical-care settings, such as the intensive-care unit (ICU) or the operating room. Both biomedical researchers and clinicians regularly use computer programs to search the medical literature, and modern clinical research would be severely hampered without computer-based data-storage techniques and statistical analysis sys-tems. Advanced decision-support tools also are emerging from research labo-ratories, are being integrated with patient-care systems, and are beginning to have a profound effect on the way medicine is practiced.

Despite this extensive use of computers in healthcare settings and bio-medical research, and a resulting expansion of interest in learning more about biomedical computing, many life scientists, health-science students, and pro-fessionals have found it diffi cult to obtain a comprehensive and rigorous, but nontechnical, overview of the fi eld. Both practitioners and basic scientists are recognizing that thorough preparation for their professional futures requires that they gain an understanding of the state of the art in biomedical comput-ing, of the current and future capabilities and limitations of the technology, and of the way in which such developments fi t within the scientifi c, social, and fi nancial context of biomedicine and our healthcare system. In turn, the future of the biomedical computing fi eld will be largely determined by how well health professionals and biomedical scientists are prepared to guide and to capitalize upon the discipline’s development. This book is intended to meet this growing need for such well-equipped professionals. The fi rst edition appeared in 1990 (published by Addison-Wesley) and was used extensively in courses on medical informatics throughout the world. It was updated with a second edition (published by Springer) in 2000, responding to the remark-able changes that occurred during the 1990s, most notably the introduction of the World Wide Web and its impact on adoption and acceptance of the Internet. The third edition (again published by Springer) appeared in 2006, refl ecting the ongoing rapid evolution of both technology and health- and biomedically-related applications, plus the emerging government recognition of the key role that health information technology would need to play in pro-moting quality, safety, and effi ciency in patient care. With that edition the title of the book was changed from Medical Informatics to Biomedical Informatics , refl ecting (as is discussed in Chap. 1) both the increasing breadth of the basic discipline and the evolving new name for academic units, societies, research programs, and publications in the fi eld. Like the fi rst three editions, this new version provides a conceptual framework for learning about the science that underlies applications of computing and communications technology in bio-medicine and health care, for understanding the state of the art in computer applications in clinical care and biology, for critiquing existing systems, and for anticipating future directions that the fi eld may take.

In many respects, this new edition is very different from its predecessors, however. Most importantly, it refl ects the remarkable changes in computing and communications that continue to occur, most notably in communications, networking, and health information technology policy, and the exploding interest in the role that information technology must play in systems integra-tion and the melding of genomics with innovations in clinical practice and

Preface to the Fourth Edition

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treatment. In addition, new chapters have been introduced, one (healthcare fi nancing) was eliminated, while others have been revamped. We have intro-duced new chapters on the health information infrastructure, consumer health informatics, telemedicine, translational bioinformatics, clinical research informatics, and health information technology policy. Most of the previous chapters have undergone extensive revisions. Those readers who are familiar with the fi rst three editions will fi nd that the organization and philosophy are unchanged, but the content is either new or extensively updated. 1

This book differs from other introductions to the fi eld in its broad coverage and in its emphasis on the fi eld’s conceptual underpinnings rather than on technical details. Our book presumes no health- or computer-science back-ground, but it does assume that you are interested in a comprehensive sum-mary of the fi eld that stresses the underlying concepts, and that introduces technical details only to the extent that they are necessary to meet the princi-pal goal. It thus differs from an impressive early text in the fi eld (Ledley 1965) that emphasized technical details but did not dwell on the broader social and clinical context in which biomedical computing systems are devel-oped and implemented.

Overview and Guide to Use of This book

This book is written as a text so that it can be used in formal courses, but we have adopted a broad view of the population for whom it is intended. Thus, it may be used not only by students of medicine and of the other health professions, but also as an introductory text by future biomedical informat-ics professionals, as well as for self-study and for reference by practitio-ners. The book is probably too detailed for use in a 2- or 3-day continuing-education course, although it could be introduced as a reference for further independent study.

Our principal goal in writing this text is to teach concepts in biomedical informatics—the study of biomedical information and its use in decision making—and to illustrate them in the context of descriptions of representa-tive systems that are in use today or that taught us lessons in the past. As you will see, biomedical informatics is more than the study of computers in biomedicine, and we have organized the book to emphasize that point. Chapter 1 fi rst sets the stage for the rest of the book by providing a glimpse of the future, defi ning important terms and concepts, describing the content of the fi eld, explaining the connections between biomedical informatics and related disciplines, and discussing the forces that have infl uenced research in biomedical informatics and its integration into clinical practice and bio-logical research.

1 As with the fi rst three editions, this book has tended to draw both its examples and it con-tributors from North America. There is excellent work in other parts of the world as well, although variations in healthcare systems, and especially fi nancing, do tend to change the way in which systems evolve from one country to the next. The basic concepts are identi-cal, however, so the book is intended to be useful in educational programs in other parts of the world as well.

Preface to the Fourth Edition

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Broad issues regarding the nature of data, information, and knowledge pervade all areas of application, as do concepts related to optimal decision making. Chapters 2 and 3 focus on these topics but mention computers only in passing. They serve as the foundation for all that follows. Chapter 4 on cognitive science issues enhances the discussions in Chaps. 2 and 3, pointing out that decision making and behavior are deeply rooted in the ways in which information is processed by the human mind. Key concepts underlying sys-tem design, human-computer interaction, patient safety, educational technol-ogy, and decision making are introduced in this chapter.

Chapters 5 and 6 introduce the central notions of computer architectures and software engineering that are important for understanding the applications described later. Also included is a discussion of computer-system design, with explanations of important issues for you to consider when you read about specifi c applications and systems throughout the remainder of this book.

Chapter 7 summarizes the issues of standards development, focusing in particular on data exchange and issues related to sharing of clinical data. This important and rapidly evolving topic warrants inclusion given the evolution of the health information exchange, institutional system integration chal-lenges, and the increasingly central role of standards in enabling clinical sys-tems to have their desired infl uence on healthcare practices.

Chapter 8 addresses a topic of increasing practical relevance in both the clinical and biological worlds: natural language understanding and the pro-cessing of biomedical texts. The importance of these methods is clear when one considers the amount of information contained in free-text dictated notes or in the published biomedical literature. Even with efforts to encourage structured data entry in clinical systems, there will likely always be an impor-tant role for techniques that allow computer systems to extract meaning from natural language documents.

Chapter 9 is a comprehensive introduction to the conceptual underpin-nings of biomedical and clinical image capture, analysis, interpretation and use. This overview of the basic issues and imaging modalities serves as back-ground for Chap. 20, which deals with imaging applications issues, high-lighted in the world of radiological imaging and image management (e.g., in picture archiving and communication systems).

Chapter 10 addresses the key legal and ethical issues that have arisen when health information systems are considered. Then, in Chap. 11, the challenges associated with technology assessment and with the evaluation of clinical information systems are introduced.

Chapters 12–26 (which include several new chapters in this edition) survey many of the key biomedical areas in which computers are being used. Each chapter explains the conceptual and organizational issues in building that type of system, reviews the pertinent history, and examines the barriers to success-ful implementations.

Chapter 27 is a new chapter in the fourth edition, providing a summary of the rapidly evolving policy issues related to health information technology. Although the emphasis is on US government policy, there is some discussion of issues that clearly generalize both to states (in the US) and to other countries. The book concludes in Chap. 28 with a look to the future—a vision of how

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informatics concepts, computers, and advanced communication devices one day may pervade every aspect of biomedical research and clinical practice.

The Study of Computer Applications in Biomedicine

The actual and potential uses of computers in health care and biomedicine form a remarkably broad and complex topic. However, just as you do not need to understand how a telephone or an ATM machine works to make good use of it and to tell when it is functioning poorly, we believe that technical biomedical-computing skills are not needed by health workers and life scien-tists who wish simply to become effective users of evolving information tech-nologies. On the other hand, such technical skills are of course necessary for individuals with career commitment to developing information systems for biomedical and health environments. Thus, this book will neither teach you to be a programmer, nor show you how to fi x a broken computer (although it might motivate you to learn how to do both). It also will not tell you about every important biomedical-computing system or application; we shall use an extensive bibliography to direct you to a wealth of literature where review articles and individual project reports can be found. We describe specifi c sys-tems only as examples that can provide you with an understanding of the conceptual and organizational issues to be addressed in building systems for such uses. Examples also help to reveal the remaining barriers to successful implementations. Some of the application systems described in the book are well established, even in the commercial marketplace. Others are just begin-ning to be used broadly in biomedical settings. Several are still largely con-fi ned to the research laboratory.

Because we wish to emphasize the concepts underlying this fi eld, we gen-erally limit the discussion of technical implementation details. The computer- science issues can be learned from other courses and other textbooks. One exception, however, is our emphasis on the details of decision science as they relate to biomedical problem solving (Chaps. 3 and 22). These topics gener-ally are not presented in computer-science courses, yet they play a central role in the intelligent use of biomedical data and knowledge. Sections on medical decision making and computer-assisted decision support accordingly include more technical detail than you will fi nd in other chapters.

All chapters include an annotated list of Suggested Readings to which you can turn if you have a particular interest in a topic, and there is a comprehen-sive Bibliography, drawn from the individual chapters, at the end of the book. We use boldface print to indicate the key terms of each chapter; the defi ni-tions of these terms are included in the Glossary at the end of the book. Because many of the issues in biomedical informatics are conceptual, we have included Questions for Discussion at the end of each chapter. You will quickly discover that most of these questions do not have “right” answers. They are intended to illuminate key issues in the fi eld and to motivate you to examine additional readings and new areas of research.

It is inherently limiting to learn about computer applications solely by reading about them. We accordingly encourage you to complement your

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studies by seeing real systems in use—ideally by using them yourself. Your understanding of system limitations and of what you would do to improve a biomedical-computing system will be greatly enhanced if you have had per-sonal experience with representative applications. Be aggressive in seeking opportunities to observe and use working systems.

In a fi eld that is changing as rapidly as biomedical informatics is, it is diffi -cult ever to feel that you have knowledge that is completely current. However, the conceptual basis for study changes much more slowly than do the detailed technological issues. Thus, the lessons you learn from this volume will provide you with a foundation on which you can continue to build in the years ahead.

The Need for a Course in Biomedical Informatics

A suggestion that new courses are needed in the curricula for students of the health professions is generally not met with enthusiasm. If anything, educators and students have been clamoring for reduced lecture time, for more emphasis on small group sessions, and for more free time for problem solving and refl ec-tion. A 1984 national survey by the Association of American Medical Colleges found that both medical students and their educators severely criticized the traditional emphasis on lectures and memorization. Yet the analysis of a panel on the General Professional Education of the Physician (GPEP) (Association of American Medical Colleges 1984 ) and several subsequent studies and reports have specifi cally identifi ed biomedical informatics, including computer appli-cations, as an area in which new educational opportunities need to be developed so that physicians and other health professionals will be better prepared for clinical practice. The AAMC recommended the formation of new academic units in biomedical informatics in our medical schools, and subsequent studies and reports have continued to stress the importance of the fi eld and the need for its inclusion in the educational environments of health professionals.

The reason for this strong recommendation is clear: The practice of medi-cine is inextricably entwined with the management of information . In the past, practitioners handled medical information through resources such as the near-est hospital or medical-school library; personal collections of books, journals, and reprints; fi les of patient records; consultation with colleagues; manual offi ce bookkeeping; and (all-too-often fl awed) memorization. Although these techniques continue to be variably valuable, information technology is offering new methods for fi nding, fi ling, and sorting information: online bibliographic-retrieval systems, including full-text publications; personal computers, laptops, tablets, and smart phones, with database software to maintain personal infor-mation and commonly used references; offi ce- practice and clinical information systems to capture, communicate, and preserve key elements of the health record; information retrieval and consultation systems to provide assistance when an answer to a question is needed rapidly; practice-management systems to integrate billing and receivable functions with other aspects of offi ce or clinic organization; and other online information resources that help to reduce the

Preface to the Fourth Edition

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pressure to memorize in a fi eld that defi es total mastery of all but its narrowest aspects. With such a pervasive and inevitable role for computers in clinical practice, and with a growing failure of traditional techniques to deal with the rapidly increasing information- management needs of practitioners, it has become obvious to many people that an essential topic has emerged for study in schools that train medical and other health professionals.

What is less clear is how the subject should be taught, and to what extent it should be left for postgraduate education. We believe that topics in bio-medical informatics are best taught and learned in the context of health- science training, which allows concepts from both the health sciences and informatics science to be integrated. Biomedical-computing novices are likely to have only limited opportunities for intensive study of the material once their health-professional training has been completed.

The format of biomedical informatics education is certain to evolve as fac-ulty members are hired to develop it at more health-science schools, and as the emphasis on lectures as the primary teaching method continues to diminish. Computers will be used increasingly as teaching tools and as devices for com-munication, problem solving, and data sharing among students and faculty. In the meantime, key content in biomedical informatics will likely be taught largely in the classroom setting. This book is designed to be used in that kind of traditional course, although the Questions for Discussion also could be used to focus conversation in small seminars and working groups. As resources improve in schools and academic medical centers, integration of biomedical informatics topics into clinical experiences also will become more common. The eventual goal should be to provide instruction in biomedical informatics whenever this fi eld is most relevant to the topic the student is studying. This aim requires educational opportunities throughout the years of formal training, supplemented by continuing- education programs after graduation.

The goal of integrating biomedicine and biomedical informatics is to pro-vide a mechanism for increasing the sophistication of health professionals, so that they know and understand the available resources. They also should be familiar with biomedical computing’s successes and failures, its research frontiers and its limitations, so that they can avoid repeating the mistakes of the past. Study of biomedical informatics also should improve their skills in information management and problem solving. With a suitable integration of hands-on computer experience, computer-based learning, courses in clinical problem solving, and study of the material in this volume, health-science students will be well prepared to make effective use of computer-based tools and information management in healthcare delivery.

The Need for Specialists in Biomedical Informatics

As mentioned, this book also is intended to be used as an introductory text in programs of study for people who intend to make their professional careers in biomedical informatics. If we have persuaded you that a course in biomedical

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informatics is needed, then the requirement for trained faculty to teach the courses will be obvious. Some people might argue, however, that a course on this subject could be taught by a computer scientist who had an interest in biomedical computing, or by a physician or biologist who had taken a few computing courses. Indeed, in the past, most teaching—and research—has been undertaken by faculty trained primarily in one of the fi elds and later drawn to the other. Today, however, schools have come to realize the need for professionals trained specifi cally at the interfaces among biomedicine, bio-medical informatics, and related disciplines such as computer science, statis-tics, cognitive science, health economics, and medical ethics. This book outlines a fi rst course for students training for careers in the biomedical infor-matics fi eld. We specifi cally address the need for an educational experience in which computing and information-science concepts are synthesized with bio-medical issues regarding research, training, and clinical practice. It is the inte-gration of the related disciplines that traditionally has been lacking in the educational opportunities available to students with career interests in bio-medical informatics. If schools are to establish such courses and training pro-grams (and there are growing numbers of examples of each), they clearly need educators who have a broad familiarity with the fi eld and who can develop curricula for students of the health professions as well as of informatics itself.

The increasing introduction of computing techniques into biomedical envi-ronments will require that well-trained individuals be available not only to teach students, but also to design, develop, select, and manage the biomedical- computing systems of tomorrow. There is a wide range of context- dependent computing issues that people can appreciate only by working on problems defi ned by the healthcare setting and its constraints. The fi eld’s development has been hampered because there are relatively few trained personnel to design research programs, to carry out the experimental and developmental activities, and to provide academic leadership in biomedical informatics. A frequently cited problem is the diffi culty a health professional (or a biologist) and a techni-cally trained computer scientist experience when they try to communicate with one another. The vocabularies of the two fi elds are complex and have little over-lap, and there is a process of acculturation to biomedicine that is diffi cult for computer scientists to appreciate through distant observation. Thus, interdisci-plinary research and development projects are more likely to be successful when they are led by people who can effectively bridge the biomedical and computing fi elds. Such professionals often can facilitate sensitive communication among program personnel whose backgrounds and training differ substantially.

It is exciting to be working in a fi eld that is maturing and that is having a benefi cial effect on society. There is ample opportunity remaining for innova-tion as new technologies evolve and fundamental computing problems succumb to the creativity and hard work of our colleagues. In light of the

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increasing sophistication and specialization required in computer science in general, it is hardly surprising that a new discipline should arise at that fi eld’s interface with biomedicine. This book is dedicated to clarifying the defi nition and to nurturing the effectiveness of that discipline: biomedical informatics.

New York, NY Edward H. Shortliffe Bethesda, MD James J. Cimino

October 2013

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In the 1980s, when I was based at Stanford University, I conferred with colleagues Larry Fagan and Gio Wiederhold and we decided to compile the fi rst comprehen-sive textbook on what was then called medical informatics. As it turned out, none of us predicted the enormity of the task we were about to undertake. Our challenge was to create a multi-authored textbook that captured the collective expertise of leaders in the fi eld yet was cohesive in content and style. The concept for the book fi rst developed in 1982. We had begun to teach a course on computer applications in health care at Stanford’s School of Medicine and had quickly determined that there was no comprehensive introductory text on the subject. Despite several pub-lished collections of research descriptions and subject reviews, none had been developed with the needs of a rigorous introductory course in mind.

The thought of writing a textbook was daunting due to the diversity of top-ics. None of us felt that he was suffi ciently expert in the full range of impor-tant subjects for us to write the book ourselves. Yet we wanted to avoid putting together a collection of disconnected chapters containing assorted subject reviews. Thus, we decided to solicit contributions from leaders in the respective fi elds to be represented but to provide organizational guidelines in advance for each chapter. We also urged contributors to avoid writing subject reviews but, instead, to focus on the key conceptual topics in their fi eld and to pick a handful of examples to illustrate their didactic points.

As the draft chapters began to come in, we realized that major editing would be required if we were to achieve our goals of cohesiveness and a uniform orien-tation across all the chapters. We were thus delighted when, in 1987, Leslie Perreault, a graduate of our training program, assumed responsibility for rework-ing the individual chapters to make an integral whole and for bringing the project to completion. The fi nal product, published in 1990, was the result of many compromises, heavy editing, detailed rewriting, and numerous iterations. We were gratifi ed by the positive response to the book when it fi nally appeared, and especially by the students of biomedical informatics who have often come to us at scientifi c meetings and told us about their appreciation of the book.

As the 1990s progressed, however, we began to realize that, despite our emphasis on basic concepts in the fi eld (rather than a survey of existing sys-tems), the volume was beginning to show its age. A great deal had changed since the initial chapters were written, and it became clear that a new edition would be required. The original editors discussed the project and decided that we should redesign the book, solicit updated chapters, and publish a new edition. Leslie Perreault by this time was a busy Director at First Consulting

Acknowledgments

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Group in New York City and would not have as much time to devote to the project as she had when we did the fi rst edition. With trepidation, in light of our knowledge of the work that would be involved, we embarked on the new project.

As before, the chapter authors did a marvelous job, trying to meet our deadlines, putting up with editing changes that were designed to bring a uni-form style to the book, and contributing excellent chapters that nicely refl ected the changes in the fi eld in the preceding decade.

No sooner had the second edition appeared in print than we started to get inquiries about when the next update would appear. We began to realize that the maintenance of a textbook in a fi eld such as biomedical informatics was nearly a constant, ongoing process. By this time I had moved to Columbia University and the initial group of editors had largely disbanded to take on other responsi-bilities, with Leslie Perreault no longer available. Accordingly, as plans for a third edition began to take shape, my Columbia colleague Jim Cimino joined me as the new associate editor, whereas Drs. Fagan, Wiederhold, and Perreault continued to be involved as chapter authors. Once again the authors did their best to try to meet our deadlines as the third edition took shape. This time we added several chapters, attempting to cover additional key topics that readers and authors had identifi ed as being necessary enhancements to the earlier edi-tions. We were once again extremely appreciative of all the authors’ commit-ment and for the excellence of their work on behalf of the book and the fi eld.

Predictably, it was only a short time after the publication of the third edi-tion that we began to get queries about a fourth edition. We resisted for a year or two but it became clear that the third edition was becoming rapidly stale in some key areas and that there were new topics that were not in the book and needed to be added. With that in mind we, in consultation with Grant Weston from Springer’s offi ces in London, agreed to embark on a fourth edition. Progress was slowed by my professional moves (to Phoenix, Arizona, then Houston, Texas, and then back to New York) with a very busy three-year stint as President and CEO of the American Medical Informatics Association. Similarly, Jim Cimino left Columbia to assume new responsibilities at the NIH Clinical Center in Bethesda, MD. With several new chapters in mind, and the need to change authors of some of the existing chapters due to retire-ments (this too will happen, even in a young fi eld like informatics!), we began working on the fourth edition, fi nally completing the effort in early 2013.

The completed fourth edition refl ects the work and support of many peo-ple in addition to the editors and chapter authors. Particular gratitude is owed to Maureen Alexander, our developmental editor whose rigorous attention to detail was crucial given the size and the complexity of the undertaking. At Springer we have been delighted to work on this edition with Grant Weston, who has been extremely supportive despite our missed deadlines. And I want to offer my sincere personal thanks to Jim Cimino, who has been a superb and talented collaborator in this effort for the last two editions. Without his hard work and expertise, we would still be struggling to complete the massive editing job associated with this now very long manuscript.

New York, NY Edward H. Shortliffe

Acknowledgments

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Contents

Part I Recurrent Themes in Biomedical Informatics

1 Biomedical Informatics: The Science and the Pragmatics . . . . 3Edward H. Shortliffe and Marsden S. Blois

2 Biomedical Data: Their Acquisition, Storage, and Use . . . . . . . 39Edward H. Shortliffe and G. Octo Barnett

3 Biomedical Decision Making: Probabilistic Clinical Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67Douglas K. Owens and Harold C. Sox

4 Cognitive Science and Biomedical Informatics . . . . . . . . . . . . . 109Vimla L. Patel and David R. Kaufman

5 Computer Architectures for Health Care and Biomedicine . . . 149Jonathan C. Silverstein and Ian T. Foster

6 Software Engineering for Health Care and Biomedicine . . . . . 185Adam B. Wilcox, Scott P. Narus, and David K. Vawdrey

7 Standards in Biomedical Informatics . . . . . . . . . . . . . . . . . . . . . 211W. Edward Hammond, Charles Jaffe, James J. Cimino, and Stanley M. Huff

8 Natural Language Processing in Health Care and Biomedicine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255Carol Friedman and Noémie Elhadad

9 Biomedical Imaging Informatics . . . . . . . . . . . . . . . . . . . . . . . . . 285Daniel L. Rubin, Hayit Greenspan,and James F. Brinkley

10 Ethics in Biomedical and Health Informatics: Users, Standards, and Outcomes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329Kenneth W. Goodman, Reid Cushman, and Randolph A. Miller

11 Evaluation of Biomedical and Health Information Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355Charles P. Friedman and Jeremy C. Wyatt

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Part II Biomedical Informatics Applications

12 Electronic Health Record Systems . . . . . . . . . . . . . . . . . . . . . . . 391Clement J. McDonald, Paul C. Tang, and George Hripcsak

13 Health Information Infrastructure . . . . . . . . . . . . . . . . . . . . . . . 423William A. Yasnoff

14 Management of Information in Health Care Organizations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443Lynn Harold Vogel

15 Patient-Centered Care Systems . . . . . . . . . . . . . . . . . . . . . . . . . . 475Judy Ozbolt, Suzanne Bakken, and Patricia C. Dykes

16 Public Health Informatics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503Martin LaVenture, David A. Ross, and William A. Yasnoff

17 Consumer Health Informatics and Personal Health Records . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517Kevin Johnson, Holly Brugge Jimison, and Kenneth D. Mandl

18 Telehealth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 541Justin B. Starren, Thomas S. Nesbitt, and Michael F. Chiang

19 Patient Monitoring Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 561Reed M. Gardner, Terry P. Clemmer, R. Scott Evans, and Roger G. Mark

20 Imaging Systems in Radiology . . . . . . . . . . . . . . . . . . . . . . . . . . . 593Bradley Erickson and Robert A. Greenes

21 Information Retrieval and Digital Libraries . . . . . . . . . . . . . . . 613William R. Hersh

22 Clinical Decision-Support Systems . . . . . . . . . . . . . . . . . . . . . . . 643Mark A. Musen, Blackford Middleton, and Robert A. Greenes

23 Computers in Health Care Education . . . . . . . . . . . . . . . . . . . . . 675Parvati Dev and Titus K.L. Schleyer

24 Bioinformatics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 695Sean D. Mooney, Jessica D. Tenenbaum, and Russ B. Altman

25 Translational Bioinformatics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 721Jessica D. Tenenbaum, Nigam H. Shah, and Russ B. Altman

26 Clinical Research Informatics . . . . . . . . . . . . . . . . . . . . . . . . . . . 755Philip R.O. Payne, Peter J. Embi, and James J. Cimino

Contents

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Part III Biomedical Informatics in the Years Ahead

27 Health Information Technology Policy . . . . . . . . . . . . . . . . . . . . 781Robert S. Rudin, Paul C. Tang, and David W. Bates

28 The Future of Informatics in Biomedicine . . . . . . . . . . . . . . . . . 797Mark E. Frisse, Valerie Florance, Kenneth D. Mandl, and Isaac S. Kohane

Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 813

Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 865

Name Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 927

Subject Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 943

Contents

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Contributors

Russ B. Altman , MD, PhD, FACMI Departments of Bioengineering, Genetics and Medicine , Stanford University , Stanford , CA , USA

Suzanne Bakken , RN, PhD, FAAN, FACMI Department of Biomedical Informatics , School of Nursing, Columbia University , New York , NY , USA

G. Octo Barnett , MD, FACP, FACMI Laboratory of Computer Science (Harvard Medical School and Massachusetts General Hospital) , Boston , MA , USA

David W. Bates , MD, MSc, FACMI Division of General Internal Medicine and Primary Care, Department of Medicine , Brigham and Women’s Hospital , Boston , MA , USA

James F. Brinkley , MD, PhD, FACMI Department of Biological Structure, Biomedical Education and Medical Education, Computer Science and Engineering , University of Washington , Seattle , WA , USA

Michael F. Chiang , MD, MA Department of Ophthalmology and Medical Informatics and Clinical Epidemiology , Oregon Health & Science University , Portland , OR , USA

James J. Cimino , MD, FACMI Laboratory for Informatics Development , NIH Clinical Center , Bethesda , MD , USA

Terry P. Clemmer , MD Pulmonary – Critical Care Medicine , LDS Hospital , Salt Lake City , UT , USA

Reid Cushman , PhD Department of Medicine , University of Miami , Miami , FL , USA

Parvati Dev , PhD, FACMI Innovation in Learning Inc. , Los Alotos Hills , CA , USA

Patricia C. Dykes , DNSc, MA, FACMI Center for Patient Safety Research and Practice , Brigham and Women’s Hospital , Boston , MA , USA

Noémie Elhadad , PhD Department of Biomedical Informatics , Columbia University , New York , NY , USA

Peter J. Embi , MD, MS, FACMI Departments of Biomedical Informatics and Internal Medicine , The Ohio State University Wexner Medical Center , Columbus , OH , USA

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Bradley Erickson , MD, PhD Department of Radiology and Medical Informatics , Mayo Clinic , Rochester , MN , USA

R. Scott Evans , BS, MS, PhD, FACMI Medical Informatics Department , LDS Hospital, Intermountain Healthcare , Salt Lake City , UT , USA

Valerie Florance , PhD, FACMI Division of Extramural Programs, National Library of Medicine , National Institutes of Health, DHHS , Bethesda , MD , USA

Ian T. Foster , PhD Searle Chemistry Laboratory, Computation Institute , University of Chicago and Argonne National Laboratory , Chicago , IL , USA

Carol Friedman , PhD, FACMI Department of Biomedical Informatics , Columbia University , New York , NY , USA

Charles P. Friedman , PhD, FACMI Schools of Information and Public Health, University of Michigan , Ann Arbor , MI , USA

Mark E. Frisse , MD, MS, MBA, FACMI Department of Biomedical Informatics , Vanderbilt University Medical Center , Nashville , TN , USA

Reed M. Gardner , PhD, FACMI Department of Informatics , University of Utah, Biomedical Informatics , Salt Lake City , UT , USA

Kenneth W. Goodman , PhD, FACMI University of Miami Bioethics Program , Miami , FL , USA

Robert A. Greenes , MD, PhD, FACMI Department of Biomedical Informatics , Arizona State University , Tempe , AZ , USA

Division of Health Sciences Research , College of Medicine, Mayo Clinic , Scottsdale , AZ , USA

Hayit Greenspan , PhD Department of Biomedical Engineering, Faculty of Engineering , TelAviv University , Tel Aviv , Israel

W. Edward Hammond , PhD, FACMI Duke Center for Health Informatics, Duke University Medical Center , Durham , NC , USA

William R. Hersh , MD FACMI, FACP Department of Medical Informatics and Clinical Epidemiology , Oregon Health and Science University , Portland , OR , USA

George Hripcsak , MD, MS, FACMI Department of Biomedical Informatics , Columbia University Medical Center , New York , NY , USA

Stanley M. Huff , MD, FACMI Medical Informatics , Intermountain Healthcare , Murray , UT , USA

Charles Jaffe , PhD Health Level Seven International , Del Mar , CA , USA

Holly Brugge Jimison , PhD, FACMI Consortium on Technology for Proactive Care, Colleges of Computer and Information Sciences and Health Sciences, Northeastern University , Boston , MA , USA

Contributors

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Kevin Johnson , MD, MS, FACMI Department of Biomedical Informatics , Vanderbilt University School of Medicine , Nashville , TN , USA

David R. Kaufman, PhD Department of Biomedical Informatics , Arizona State University , Scottsdale , AZ , USA

Isaac S. Kohane, MD, PhD, FACMI Harvard Medical School Center for Biomedical Informatics and Children’s Hospital Informatics Program, Boston, MA, USA

Martin LaVenture , MPH, PhD, FACMI Minnesota Department of Health , Offi ce of HIT and e-Health, Center for Health Informatics , St. Paul , MN , USA

Kenneth D. Mandl , MD, MPH, FACMI Children’s Hospital Informatics Program , Harvard Medical School, Boston Children’s Hospital , Boston , MA , USA

Roger G. Mark , MD, PhD Institute of Medical Engineering and Science , Department of Electrical Engineering and Computer Science (EECS), Massachusetts Institute of Technology , Cambridge , MA , USA

Clement J. McDonald , MD, FACMI Offi ce of the Director , Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health , Bethesda , MD , USA

Blackford Middleton , MD, MPH, MSc, FACMI Informatics Center , Vanderbilt University Medical Center , Nashville , TN , USA

Randolph A. Miller , MD, FACMI Department of Biomedical Informatics , Vanderbilt University Medical Center , Nashville , TN , USA

Sean D. Mooney , PhD Buck Institute for Research on Aging , Novato , CA , USA

Mark A. Musen , MD, PhD, FACMI Center for Biomedical Informatics Research, Stanford University School of Medicine , Stanford , CA , USA

Scott P. Narus , PhD Department of Medical Informatics , Intermountain Healthcare, Murray , UT , USA

Thomas S. Nesbitt , MD, MPH Department of Family and Community Medicine, School of Medicine, UC Davis Health System , Sacramento , CA , USA

Douglas K. Owens, MD, MS, VA Palo Alto Health Care System and H.J. Kaiser Center for Primary Care and Outcomes Research/Center for Health Policy , Stanford University, Stanford , CA , USA

Judy Ozbolt , PhD, RN, FAAN, FACMI, FAIMBE Department of Organizational Systems and Adult Health , University of Maryland School of Nursing , Baltimore , MD , USA

Vimla L. Patel , PhD, DSc, FACMI Center for Cognitive Studies in Medicine and Public Health , The New York Academy of Medicine , New York , NY , USA

Contributors

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Philip R.O. Payne , PhD, FACMI Department of Biomedical Informatics , The Ohio State University Wexner Medical Center , Columbus , OH , USA

David A. Ross , D.Sc Public Health Informatics Institute/ The Task Force for Global Health , Decatur , GA , USA

Daniel L. Rubin , MD, MS, FACMI Departments of Radiology and Medicine , Stanford University , Stanford , CA , USA

Robert S. Rudin , BS, SM, PhD Health Unit , Rand Corporation , Boston , MA , USA

Titus K.L. Schleyer , DMD, PhD, FACMI Center for Biomedical Informatics Regenstrief Institute, Inc. , Indianapolis , IN

Nigam H. Shah , MBBS, PhD Department of Medicine , Stanford University , Stanford , CA , USA

Edward H. Shortliffe , MD, PhD, MACP, FACMI Departments of Biomedical Informatics , Arizona State University, Columbia University, Weill Cornell Medical College, and the New York Academy of Medicine , New York , NY , USA

Jonathan C. Silverstein , MD, MS, FACMI Research Institute , NorthShore University Health System , Evanston , IL , USA

Harold C. Sox, MD, MACP Dartmouth Institute, Geisel School of Medicine, Dartmouth College, West Lebanon , NH , USA

Justin B. Starren , MD, PhD, FACMI Division of Health and Biomedical Informatics, Department of Preventive Medicine and Medical Social Sciences , Northwestern University Feinberg School of Medicine , Chicago , IL , USA

Paul C. Tang , MD, MS, FACMI David Druker Center for Health Systems Innovation , Palo Alto Medical Foundation , Mountain View , CA , USA

Jessica D. Tenenbaum , PhD Duke Translational Medicine Institute, Duke University , Durham , NC , USA

David K. Vawdrey , PhD Department of Biomedical Informatics , Columbia University , New York , NY , USA

Lynn Harold Vogel , PhD LH Vogel Consulting, LLC , Ridgewood , NJ , USA

Adam B. Wilcox , PhD, FACMI Department of Biomedical Informatics , Intermountain Healthcare , New York , NY , USA

Jeremy C. Wyatt , MB BS, FRCP, FACMI Leeds Institute of Health Sciences , University of Leeds , Leeds , UK

William A. Yasnoff , MD, PhD, FACMI NHII Advisors , Arlington , VA , USA

Contributors