Information Discovery on Electronic Health Records (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Review

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(More customer reviews)I really enjoyed reading this book. I work on health care IT in Germany and this book provides good mix of theory and practice. I particularly liked the insight into how much computer science is hidden behind key health care problems like grouping or searching patient records. I would recommend it to any health IT pprofessional who wants to go deeper into the EHR management.

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Exploiting the rich information found in electronic health records (EHRs) can facilitate better medical research and improve the quality of medical practice. Until now, a trivial amount of research has been published on the challenges of leveraging this information. Addressing these challenges, Information Discovery on Electronic Health Records explores the technology to unleash the data stored in EHRs.Assembling a truly interdisciplinary team of experts, the book tackles medical privacy concerns, the lack of standardization for the representation of EHRs, missing or incorrect values, and the availability of multiple rich health ontologies. It looks at how to search the EHR collection given a user query and return relevant fragments from the EHRs. It also explains how to mine the EHR collection to extract interesting patterns, group entities to various classes, or decide whether an EHR satisfies a given property. Most of the book focuses on textual or numeric data of EHRs, where more searching and mining progress has occurred. A chapter on the processing of medical images is also included.Maintaining a uniform style across chapters and minimizing technical jargon, this book presents the various ways to extract useful knowledge from EHRs. It skillfully discusses how EHR data can be effectively searched and mined.

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Principles of Health Interoperability HL7 and SNOMED (Health Informatics) Review

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(More customer reviews)This is a terribly challenging subject, and I give Tim Benson for giving it a good run. He's certainly not doing it for the money!
I appreciate the effort so much I'll give this work four stars, though I am being generous. Three would be more honest.
Overall it is a book aimed at an informatics student, written in a telegraphic style that is a good fit for a rather dry but terribly important topic. Only a portion of the book is about HL7 and SNOMED however. Of the 225 pages I found
- 74 on modeling and markup topics better addressed in other books
- 12 pages on SDOs
- 81 pages on HL7 and CDA/CCR/CCD
- 26 on SNOMED
- 8 pages on using HL7 and SNOMED together
Cough. Yes, 8 pages are dedicated to the premise of the book.
Even so, it's not like there's a lot of competition! This is a better book for my purposes that the informatics textbooks I've used to date. I'll be using it to update a lecture that's gotten a bit dated over the past few years.

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Evaluation Methods in Medical Informatics Review

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(More customer reviews)I've read the book about 3 times. Not because of I didn't know what else to read, but more to its condensed character in covering state-of-the-art evaluation methods valid in medical, dental, and biological sciences. The authors start with a general introduction to evaluation per se (What is it? Who needs it and Why? What makes it so difficult?) and discuss next mainly in two different parts 1) objectivists and 2) subjectivist studies giving detailed hands-on the general structure, basics of measurement, study design, conduct, and analysis of each study modalities, including methodological guidelines and a proposal quality checklist! They finaly describe the organizational evaluation and hierarchy of medical information resources as well as ethical and legal considerations during evaluation studies. References after each chapter are as standard as the self-tests to give feedback and motivation. In order to get maximum benefit the reader should be familiar with basic mathematics and biostatistics. A must for all helthcare professionals conducting research.

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This book is a general reference designed for individuals from a broad range of professional backgrounds at various stages of learning about medical information systems: those training for careers in informatics, those actively conducting evaluation studies, and those responsible for information systems in medical centers. It attempts to explain why medical information resources should be studied, and why this is a challenging process. It explores the options for conducting such studies, and specifically deciding what topic to study. It also explains how to design, carry out, and/interpret a study using a particular set of techniques, how to conduct studies in the context of health care organizations, and how to communicate study designs and study results to the proper audience.

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Medical Informatics: Knowledge Management and Data Mining in Biomedicine (Integrated Series in Information Systems) Review

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(More customer reviews)This book focuses on the current software in use today and its application(s) in Biomedical Informatics. It is by far the best introductory overview and reference for this purpose that I have seen to date.

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Comprehensively presents the foundations and leading application research in medical informatics/biomedicine. The concepts and techniques are illustrated with detailed case studies. Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copiesThe title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.

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Principles of Biomedical Informatics Review

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(More customer reviews)This is an *excellent* book. I read it enthusiastically and I'm glad that it was available for me to do so. I think it fills a unique niche in the informatics book market in two ways:
- it is a book with significant attention to clinical informatics that has a strong computer science angle.
- it is an informatics "monograph"
While informatics is often described as the intersection between something like computer science, life science/medicine and library science books rarely position themselves squarely at this intersection. I have found that it is easier to find bioinformatics books that have a strong computer science angle than it is to find clinical informatics books with a strong CS/implementation angle. This book is the exception to that rule. It has an unabashedly serious approach to the computing inherent in clinical informatics (one should take author's choice of Lisp as telling) and a clinical focus. The treatment of library science topics, while less rigorous, is present and credible.
Unlike the standard textbooks in the area (ex: Shortliffe) it is not an edited volume; rather, it hangs together page after page as a single work by a single author. Because it has the hand of an individual it a much more pleasant book to read from cover-to-cover.
The physical book is very appealing. The pager is glossy and thick, the binding is substantial, the dimensions are pleasant, the figures are clear, and the typesetting (as with all LaTeX books) beautiful. Unfortunately unlike most LaTeX books it is hard to read. While the pages look wonderful I found that function was sacrificed in the process. The vertical spacing is cramped, the margins are small, and the lines are long. This makes the going slow and difficult which detracts from an otherwise excellent book. If it was 50 pages longer with a bit more generous white space the book would be a complete home run.
In short, I have nothing but positive things to say about the content of this book and mixed emotions about the physical book. I would suggest that the ideal reader has some background in informatics. For total novices the larger edited volumes are a better starting point. Additionally, while a reasonable introduction to Lisp is provided some background knowledge of the language is helpful.
If you care about informatics, have a soft spot for Lisp and want to really hold the field in your hands this is a book that cannot be overlooked.

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Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics) Review

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(More customer reviews)This second edition of Shortliffe's textbook is an excellent overview of the field. Although I used it as a course text, it is extremely readable. The chapters are not overly technical, as befits an introductory text, but by no means is this a "Dummmies" book either.
There are now a variety of introductory/overview books on medical informatics. However, of the ones I've read (including van Bemmel's Handbook of Medical Informatics and Coiera's Guide to Medical Informatics), this book is by far the best.

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Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby (Chapman & Hall/CRC Mathematical & Computational Biology) Review

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(More customer reviews)The book is addressed to healthcare workers (students, physicians or researchers) who have basic programming skills, and are interested to use these skills to help their patients, or to advance the medical science. The author includes in this work fundamental algorithms and methods of medical informatics with application to medical data sets, as well as step-by-step instruction and concrete examples. The script examples provided work both on Windows based PCs and on Macs and are excellent resources even for beginners who are not very familiarized with any of the three programming languages (Perl, Phyton or Ruby).
In addition, this book provides references to excellent public medical data resources, covers some of the computational methods of biomedical informatics, including autocoding, data scrubbing and data deidentification. The author also included examples of questions that biomedical scientists can address, in relation to medical data and open source programming language. He maintains a Website with updated resources related to all his published books.
In the context of a new era of medicine with widespread implementation of electronic medical records and electronic health records, this textbook is an invaluable resource.

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Digital Image Processing for Medical Applications Review

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(More customer reviews)The most accessible book on imaging on the market. Written in a clear and direct style, with lots of figures and example questions. Comes with exercises that you can use with ImageJ. It doesn't overwhelm you with math, but uses it sparingly and always explains the background. This is a great book either for self-study or as a classroom textbook. It should also be of interest to those already working in medical imaging. Just the clearest, most user-friendly imaging book out there ...

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Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.

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