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?
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
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.
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.
Cohen P.R. (1995). Empirical Methods for Artificial Intelligence. Cambridge, MA: MIT Press.
Friedman C.P., Wyatt J.C. (2006). Evaluation Methods in Biomedical Informatics. New York: Springer-Verlag.
Jain R. (1991). The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling. New York: John Wiley&Sons.
Lincoln Y.S., Guba E.G. (1985). Naturalistic Inquiry. Beverly Hills, CA: Sage Publications.
Rossi P.H., Freeman H.E. (1989). Evaluation: A Systematic Approach (4th ed.). Newbury Park CA: Sage Publications.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
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
Download citation
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)