Showing posts with label biomedical informatics. Show all posts
Showing posts with label biomedical informatics. Show all posts

Clinical Decision Support: The Road Ahead Review

Clinical Decision Support: The Road Ahead
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Clinical Decision Support: The Road Ahead ReviewSomeone who wants to gain deep knowledge of the field of medical informatics -- a hot topic these days -- would do well to read this book. Thorough, well-written, insightful, and authored/edited by one of the founders of the field, I believe that this book belongs on the shelf of any practitioner.Clinical Decision Support: The Road Ahead OverviewThis book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizational, technical, and business challenges in order to successfully implement a computer-aided decision-making support system in healthcare delivery.

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Principles of Biomedical Informatics Review

Principles of Biomedical Informatics
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Principles of Biomedical Informatics ReviewThis 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.Principles of Biomedical Informatics OverviewThis book provides a foundation for understanding the fundamentals of biomedical informatics, which deals with the storage, retrieval, and use of biomedical data for biological problem solving and medical decision making. It covers the application of these principles to the three main biomedical domains of basic biology, clinical medicine, and public health. The author offers a coherent summary, focusing on the three core concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision making, and information and technology use in biomedical contexts.* Develops principles and methods for representing biomedical data, using information in context and in decision making, and accessing information to assist the medical community in using data to its full potential* Provides a series of principles for expressing biomedical data and ideas in a computable form to integrate biological, clinical, and public health applications* Includes a discussion of user interfaces, interactive graphics, and knowledge resources and reference material on programming languages to provide medical informatics programmers with the technical tools to develop systems

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

Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics)
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Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics) ReviewThis 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.Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics) OverviewThis book focuses on the role of computers in the provision of medical services. It provides both a conceptual framework and a practical approach for the implementation and management of IT used to improve the delivery of health care. Inspired by a Stanford University training program, it fills the need for a high quality text in computers and medicine. It meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Completely revised and expanded, this work includes several new chapters filled with brand new material.

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

Principles of Health Interoperability HL7 and SNOMED (Health Informatics)
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Principles of Health Interoperability HL7 and SNOMED (Health Informatics) ReviewThis is a revised review. I reviewed this book shortly after it came out and give it four stars. That was, however, a bit of a grumpy review. Since then I've made this book the mainstay of the health informatics lectures I do for the U of Minnesota. I would now give it four stars without reservation. In this domain there's no rival to this text.
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
Although I would prefer much less coverage of modeling and markup and more on HL7/SNOMED integration, there's still more than enough material to occupy a typical first class in health informatics. This is a better book for my purposes that the informatics textbooks I've used to date.
I hope there will be a 2nd edition. I know I'd buy it!Principles of Health Interoperability HL7 and SNOMED (Health Informatics) OverviewJoined-up healthcare makes information available when and where it is needed to improve safety, efficiency and effectiveness. Politicians may take interoperability between healthcare computer systems for granted, but it is non-trivial. Healthcare integration projects are notoriously under-estimated and come in over-budget and over-time. Joined-up healthcare depends on standards. The two leading standards are the SNOMED CT, which is a clinical terminology (semantics) and HL7 Version 3, which is a specialised healthcare interoperability language (syntax). Both are new, complex and fit for purpose.Tim Benson believes there is an unmet need for a book on Healthcare Integration. Some health informatics textbooks include chapters on HL7 and/or SNOMED, but these are usually quite short and cannot provide even an adequate introduction. There is little of much value on the Internet, or in journals or conference proceedings.

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