Showing posts with label bioinformatics. Show all posts
Showing posts with label bioinformatics. Show all posts

8/13/2012

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

Principles of Health Interoperability HL7 and SNOMED (Health Informatics)
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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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6/21/2012

Principles of Biomedical Informatics Review

Principles of Biomedical Informatics
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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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4/17/2012

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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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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2/14/2012

Pharmacogenetics (Oxford Monographs on Medical Genetics) Review

Pharmacogenetics (Oxford Monographs on Medical Genetics)
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I am using this text for optional reading for students in a pharmacology course in advanced practice nursing. I find it most useful in terms of its historical content and the ease with which it can be read. It provides the foundation needed as clinicians begin to use pharmacogenetics in clinical practice.

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1/17/2012

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

Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby (Chapman and Hall/CRC Mathematical and Computational Biology)
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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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1/05/2012

Essentials of Medical Genomics Review

Essentials of Medical Genomics
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If you are not a biologist or MD, and want to see where the application of genomics to medicine is going, try Brown's book. In clear language, he and other writers explain the key ideas and promises in this field. Like what can be done with massive genomic databases, by aiding the search for inherited diseases, and isolating these to certain places in the DNA.
One chapter looks at gene therapy. Currently, still mostly speculative. Much remains to be done to make it viable for many people. But this chapter is perhaps the most far reaching, if its potential can be fully realised. Related to this is another chapter about proteomics, which is another buzzword. We see that protein structures are another field, closely related, that also holds big promises for understanding and treatments.

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