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New Technologies in Personalized Decision Support to Enhance Patient Choice: Applications and Challenges

New Technologies in Personalized Decision Support to Enhance Patient Choice: Applications and Challenges

Nananda F. Col
Copyright: © 2012 |Pages: 16
ISBN13: 9781466603097|ISBN10: 1466603097|EISBN13: 9781466603103
DOI: 10.4018/978-1-4666-0309-7.ch013
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MLA

Col, Nananda F. "New Technologies in Personalized Decision Support to Enhance Patient Choice: Applications and Challenges." Pharmacoinformatics and Drug Discovery Technologies: Theories and Applications, edited by Tagelsir Mohamed Gasmelseid, IGI Global, 2012, pp. 220-235. https://doi.org/10.4018/978-1-4666-0309-7.ch013

APA

Col, N. F. (2012). New Technologies in Personalized Decision Support to Enhance Patient Choice: Applications and Challenges. In T. Gasmelseid (Ed.), Pharmacoinformatics and Drug Discovery Technologies: Theories and Applications (pp. 220-235). IGI Global. https://doi.org/10.4018/978-1-4666-0309-7.ch013

Chicago

Col, Nananda F. "New Technologies in Personalized Decision Support to Enhance Patient Choice: Applications and Challenges." In Pharmacoinformatics and Drug Discovery Technologies: Theories and Applications, edited by Tagelsir Mohamed Gasmelseid, 220-235. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0309-7.ch013

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Abstract

Medical decisions are difficult when there are two or more reasonable options and each option has good and bad features that different people may value differently because of differences in health, risk factors, preferences, or values. Personalized decision support tools are being developed in many areas, but two particularly promising areas are patient decision aids and Risk Prediction Models (RPMs). These personalized decision support tools can help patients and/or providers make better decisions about preventing, managing, or treating disease, taking into consideration specific aspects of an individual patient that distinguish them from an ’average’ patient or the population at large. Decision aids tend to focus on individual differences in preferences and values, whereas RPM’s focus on individual differences in clinical, biological, and behavioral risk factors. There are tremendous opportunities with both approaches, and both have been shown to be able to improve clinical judgment and decision making. Decision support tools are needed that provide personalized service that addresses important individual differences in biology, values, and preferences, and that targets the provider-patient dyad.

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