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54. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

07. bis 10.09.2009, Essen

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Evidence-based IT

Meeting Abstract

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  • Peter Langkafel - SAP AG, Berlin

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 54. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds). Essen, 07.-10.09.2009. Düsseldorf: German Medical Science GMS Publishing House; 2009. Doc09gmds240

doi: 10.3205/09gmds240, urn:nbn:de:0183-09gmds2407

Published: September 2, 2009

© 2009 Langkafel.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). You are free: to Share – to copy, distribute and transmit the work, provided the original author and source are credited.

Outline

Text

Background: Modern Information Technology can be a key enabler for improved or adopted business models. The healthcare sector is in a process of industrialisation and the decision making process of IT is changing too. Cost-benefit models have to be in the focus of the election process – less “functions & features”. But “traditional” ROI-(return on investment) studies with their pure economic focus have limitations which do not fit to the complex healthcare world.

Background of this abstract is

Objective: The concept of evidence-based-medicine (Sackett) is adapted to information technolgoy

Methods: Different methods of analysing benefits / value of IT are presented: Public ROI, Public Value Model, different Cost-Benefit concepts of national health-record project.

Results: The concept of evidence-based IT can be a useful method for the classification of IT result, but also the “scotoma of evidence-based medicine” (Sackett) the economic part has to be introduced.

Conclusion: There is no common and accepted model to evaluate the use of IT. New approaches (like STARE-HI) are urgently needed to be able to discuss upcoming E-Health scenarios within a political, technological and economical framework for a decision-making process.

Outline

References

1.
Langkafel P: Evidence-based IT. MDI – Forum der Medizindokumentation und -informatik. 2007;1.
2.
Sackett DL, et al. BMJ. 1996;312:71-2.
3.
The Economic Impact of eHealth, Method, Case Studies, Summary Results. 2006.
4.
US Department of Health and Human Services. Evidence Report/Technology Assessment, Number 132: Costs and Benefits of Health Information Technology. 2006.
5.
Talmon, Ammenwerth, et al. STARE-HI – Statement on Reporting of Evaluation Studies in Health Informatics. International Journal of Medical Informatics. 2009.