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Rodolphe Meyer1,3, Patrice Degoulet 2,3
1University Hospitals of Geneva, Geneva, Switzerland
2Hôpital Européen Georges Pompidou and Université Paris Descartes, Paris, France
3INSERM - UMRS 872 eq 20, Paris, France
Objectives:To examine the different methods that can be used in the quantification of the added value of information technologies (IT) in the health care sector. This quantification represents a major issue for decision-makers and health care professionals when they have to plan an IT investment. Methods: Articles were chosen via Medline, internet and the University of Geneva bibliographic portal. Some of the papers were obtained directly from their authors. We examine the most current methods used to evaluate IT return on investment (ROI) in the general business and in the health care sector, drawing attention on methods traditionally used in macroeconomic studies that could reveal themselves disruptive for IT ROI impact evaluation in hospitals. Results: Financial and accounting methods can provide interesting data on a specific IT project but are usually incomplete for revealing the global IT investment influence. Econometric methods tend to demonstrate the positive impact of health care IT (HIT) on hospital production and productivity. Hospitals having higher levels of IT investment tend to deliver a higher level of clinical quality and show improved hospital cost performances. Conclusions: Information technologies are so intermingled with people and processes that the identification of specific IT benefit remains questionable. Using macroeconomic tools could be the best way to analyze and compute IT ROI in health care. Econometric tools take into account all types investments (inputs) and all the returns (outputs) enabling the precise measurement of IT investments impact, breakeven points, and possible threshold levels, thus providing helpful intelligence to reach the higher levels of IT governance in hospitals.ighe
HIT, Econometrics, return on investment (ROI), health care information technologies, production function, Cobb-Douglass, productivity
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Andreas Greinacher1, Theodore E. Warkentin2 Thrombosis and Haemostasis 2008 99 5: 819-829 http://dx.doi.org/10.1160/TH07-11-0693 | ||
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See also Editorial by Cuker U. J. Sachs (1), U. J. Sachs (1), J. von Hesberg (1), S. Santoso (1), G. Bein (1), T. Bakchoul (1) Thrombosis and Haemostasis 2011 106 6: 1197-1202 http://dx.doi.org/10.1160/TH-11-06-0390 | ||
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Research Article S.-j. Wu (1), M. R. Lehto (1), Y. Yih (1), J. J. Saleem (2, 3, 4), B. N. Doebbeling (2, 4, 5) ACI 2010 1 4: 466-485 http://dx.doi.org/10.4338/ACI-2010-05-RA-0029 | ||