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Evaluation and Technology Assessment

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Biomedical Informatics

Part of the book series: Health Informatics ((HI))

Abstract

After reading this chapter, you should know the answers to these questions:

  • Why are empirical studies based on the methods of evaluation and technology assessment important to the successful implementation of information resources to improve health care?

  • What challenges make studies in informatics difficult to carry out? How are these challenges addressed in practice?

  • Why can all evaluations be classified as empirical studies?

  • What are the major assumptions underlying objectivist and subjectivist approaches to evaluation? What are the advantages and disadvantages of each?

  • What are the factors that distinguish the three stages of technology assessment?

  • How does one distinguish measurement and demonstration aspects of objectivist studies, and why are both aspects necessary?

  • What steps are typically undertaken in a measurement study? What designs are typically used in demonstration studies?

  • What is the difference between cost-effectiveness and cost-benefit analyses? How can investigators address issues of cost effectiveness and cost benefit of medical information resources?

  • What steps are followed in a subjectivist study? What techniques are employed by subjectivist investigators to ensure rigor and credibility of their findings?

  • Why is communication between investigators and clients central to the success of any evaluation?

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Suggested Readings

  • Anderson J.G., Aydin C.E., Jay S.J. (Eds.) (1994). Evaluating Health Care Information Systems: Methods and Applications. Thousand Oaks, CA: Sage Publications.

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  • Ash, J.S., Gorman, P.N., Lavelle, M., Payne, T.H., Massaro, T.A., Frantz, G.L., Lyman JA. (2003). A cross-site qualitative study of physician order entry. Journal of the American Medical Informatics Association, 10(2),188–200.

    Article  PubMed  Google Scholar 

  • Cohen P.R. (1995). Empirical Methods for Artificial Intelligence. Cambridge, MA: MIT Press.

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  • Friedman C.P., Wyatt J.C. (2006). Evaluation Methods in Biomedical Informatics. New York: Springer-Verlag.

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  • Jain R. (1991). The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling. New York: John Wiley&Sons.

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  • Lincoln Y.S., Guba E.G. (1985). Naturalistic Inquiry. Beverly Hills, CA: Sage Publications.

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  • Rossi P.H., Freeman H.E. (1989). Evaluation: A Systematic Approach (4th ed.). Newbury Park CA: Sage Publications.

    Google Scholar 

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© 2006 Springer Science+Business Media, LLC

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Friedman, C.P., Wyatt, J.C., Owens, D.K. (2006). Evaluation and Technology Assessment. In: Shortliffe, E.H., Cimino, J.J. (eds) Biomedical Informatics. Health Informatics. Springer, New York, NY. https://doi.org/10.1007/0-387-36278-9_11

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  • DOI: https://doi.org/10.1007/0-387-36278-9_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-28986-1

  • Online ISBN: 978-0-387-36278-6

  • eBook Packages: MedicineMedicine (R0)

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