Charles P. Friedman's Evaluation Methods in Biomedical Informatics (Health PDF

By Charles P. Friedman

ISBN-10: 0387258892

ISBN-13: 9780387258898

Seriously up-to-date and revised from the winning first variation Appeals to a variety of informatics execs, from scholars to on-site clinical details method directors contains case stories and genuine global approach reviews References and self-tests for suggestions and motivation after each one bankruptcy nice for instructing reasons, the booklet is suggested for classes provided at universities equivalent to Columbia college targeted definition and use of phrases

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Additional resources for Evaluation Methods in Biomedical Informatics (Health Informatics)

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Specific anatomy of subjectivist studies. 32 2. Evaluation as a Field The investigation aspect of objectivist studies can be seen as a Linear Investigative Sequence proceeding from detailed design of the study, to the development of instruments for collection of quantitative data, and then to the collection and subsequent analysis of these data. In principle, at least, the investigators go through this investigative sequence once and proceed from there to report their findings. By contrast, the subjectivist investigation is organized along the lines of an Iterative Investigative Loop.

After reading the description, answer each of the following questions. ) 1. 3. 2. The project evaluation focuses on two questions relating to protocol enrollment and user attitudes. If you were designing an evaluation to address these questions, what approach(es) would you consider using? 3. What other evaluation questions, not addressed in the study, might have been of interest for this project? Case Study: T-HELPER: Computer Support for Protocol-Directed Therapy This project developed computer-based techniques for clinical data and knowledge management in the area of acquired immunodeficiency syndrome (AIDS) therapy.

Comparison of computer-aided and human review of general practitioners’ management of hypertension. Lancet 1991;338:1504–1508. 19. Musen M. The strained quality of medical data. Methods Inf Med 1989;28:123–125. 20. Wyatt JC. Clinical data systems. Part I. Data and medical records. Lancet 1994;344:1543–1547. 21. Leitch D. Who should have their cholesterol measured? What experts in the UK suggest. BMJ 1989;298:1615–1616. 22. Gaschnig J, Klahr P, Pople H, Shortliffe E,Terry A. Evaluation of expert systems: issues and case studies.

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Evaluation Methods in Biomedical Informatics (Health Informatics) by Charles P. Friedman


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