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Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value

The “big data” era represents an exciting opportunity to utilize powerful new sources of information to reduce clinical and health economic uncertainty on an individual patient level. In turn, health economic outcomes research (HEOR) practices will need to evolve to accommodate individual patient–le...

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Autores principales: Chen, Yixi, Guzauskas, Gregory F., Gu, Chengming, Wang, Bruce C. M., Furnback, Wesley E., Xie, Guotong, Dong, Peng, Garrison, Louis P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5198059/
https://www.ncbi.nlm.nih.gov/pubmed/27827859
http://dx.doi.org/10.3390/jpm6040020
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author Chen, Yixi
Guzauskas, Gregory F.
Gu, Chengming
Wang, Bruce C. M.
Furnback, Wesley E.
Xie, Guotong
Dong, Peng
Garrison, Louis P.
author_facet Chen, Yixi
Guzauskas, Gregory F.
Gu, Chengming
Wang, Bruce C. M.
Furnback, Wesley E.
Xie, Guotong
Dong, Peng
Garrison, Louis P.
author_sort Chen, Yixi
collection PubMed
description The “big data” era represents an exciting opportunity to utilize powerful new sources of information to reduce clinical and health economic uncertainty on an individual patient level. In turn, health economic outcomes research (HEOR) practices will need to evolve to accommodate individual patient–level HEOR analyses. We propose the concept of “precision HEOR”, which utilizes a combination of costs and outcomes derived from big data to inform healthcare decision-making that is tailored to highly specific patient clusters or individuals. To explore this concept, we discuss the current and future roles of HEOR in health sector decision-making, big data and predictive analytics, and several key HEOR contexts in which big data and predictive analytics might transform traditional HEOR into precision HEOR. The guidance document addresses issues related to the transition from traditional to precision HEOR practices, the evaluation of patient similarity analysis and its appropriateness for precision HEOR analysis, and future challenges to precision HEOR adoption. Precision HEOR should make precision medicine more realizable by aiding and adapting healthcare resource allocation. The combined hopes for precision medicine and precision HEOR are that individual patients receive the best possible medical care while overall healthcare costs remain manageable or become more cost-efficient.
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spelling pubmed-51980592017-01-04 Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value Chen, Yixi Guzauskas, Gregory F. Gu, Chengming Wang, Bruce C. M. Furnback, Wesley E. Xie, Guotong Dong, Peng Garrison, Louis P. J Pers Med Concept Paper The “big data” era represents an exciting opportunity to utilize powerful new sources of information to reduce clinical and health economic uncertainty on an individual patient level. In turn, health economic outcomes research (HEOR) practices will need to evolve to accommodate individual patient–level HEOR analyses. We propose the concept of “precision HEOR”, which utilizes a combination of costs and outcomes derived from big data to inform healthcare decision-making that is tailored to highly specific patient clusters or individuals. To explore this concept, we discuss the current and future roles of HEOR in health sector decision-making, big data and predictive analytics, and several key HEOR contexts in which big data and predictive analytics might transform traditional HEOR into precision HEOR. The guidance document addresses issues related to the transition from traditional to precision HEOR practices, the evaluation of patient similarity analysis and its appropriateness for precision HEOR analysis, and future challenges to precision HEOR adoption. Precision HEOR should make precision medicine more realizable by aiding and adapting healthcare resource allocation. The combined hopes for precision medicine and precision HEOR are that individual patients receive the best possible medical care while overall healthcare costs remain manageable or become more cost-efficient. MDPI 2016-11-02 /pmc/articles/PMC5198059/ /pubmed/27827859 http://dx.doi.org/10.3390/jpm6040020 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Concept Paper
Chen, Yixi
Guzauskas, Gregory F.
Gu, Chengming
Wang, Bruce C. M.
Furnback, Wesley E.
Xie, Guotong
Dong, Peng
Garrison, Louis P.
Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value
title Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value
title_full Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value
title_fullStr Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value
title_full_unstemmed Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value
title_short Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value
title_sort precision health economics and outcomes research to support precision medicine: big data meets patient heterogeneity on the road to value
topic Concept Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5198059/
https://www.ncbi.nlm.nih.gov/pubmed/27827859
http://dx.doi.org/10.3390/jpm6040020
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