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The Future of Precision Medicine: Potential Impacts for Health Technology Assessment
OBJECTIVE: Precision medicine allows healthcare interventions to be tailored to groups of patients based on their disease susceptibility, diagnostic or prognostic information, or treatment response. We analysed what developments are expected in precision medicine over the next decade and considered...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244622/ https://www.ncbi.nlm.nih.gov/pubmed/30003435 http://dx.doi.org/10.1007/s40273-018-0686-6 |
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author | Love-Koh, James Peel, Alison Rejon-Parrilla, Juan Carlos Ennis, Kate Lovett, Rosemary Manca, Andrea Chalkidou, Anastasia Wood, Hannah Taylor, Matthew |
author_facet | Love-Koh, James Peel, Alison Rejon-Parrilla, Juan Carlos Ennis, Kate Lovett, Rosemary Manca, Andrea Chalkidou, Anastasia Wood, Hannah Taylor, Matthew |
author_sort | Love-Koh, James |
collection | PubMed |
description | OBJECTIVE: Precision medicine allows healthcare interventions to be tailored to groups of patients based on their disease susceptibility, diagnostic or prognostic information, or treatment response. We analysed what developments are expected in precision medicine over the next decade and considered the implications for health technology assessment (HTA) agencies. METHODS: We performed a pragmatic literature search to account for the large size and wide scope of the precision medicine literature. We refined and enriched these results with a series of expert interviews up to 1 h in length, including representatives from HTA agencies, research councils and researchers designed to cover a wide spectrum of precision medicine applications and research. RESULTS: We identified 31 relevant papers and interviewed 13 experts. We found that three types of precision medicine are expected to emerge in clinical practice: complex algorithms, digital health applications and ‘omics’-based tests. These are expected to impact upon each stage of the HTA process, from scoping and modelling through to decision-making and review. The complex and uncertain treatment pathways associated with patient stratification and fast-paced technological innovation are central to these effects. DISCUSSION: Innovation in precision medicine promises substantial benefits but will change the way in which some health services are delivered and evaluated. The shelf life of guidance may decrease, structural uncertainty may increase and new equity considerations will emerge. As biomarker discovery accelerates and artificial intelligence-based technologies emerge, refinements to the methods and processes of evidence assessments will help to adapt and maintain the objective of investing in healthcare that is value for money. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40273-018-0686-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6244622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-62446222018-12-04 The Future of Precision Medicine: Potential Impacts for Health Technology Assessment Love-Koh, James Peel, Alison Rejon-Parrilla, Juan Carlos Ennis, Kate Lovett, Rosemary Manca, Andrea Chalkidou, Anastasia Wood, Hannah Taylor, Matthew Pharmacoeconomics Original Research Article OBJECTIVE: Precision medicine allows healthcare interventions to be tailored to groups of patients based on their disease susceptibility, diagnostic or prognostic information, or treatment response. We analysed what developments are expected in precision medicine over the next decade and considered the implications for health technology assessment (HTA) agencies. METHODS: We performed a pragmatic literature search to account for the large size and wide scope of the precision medicine literature. We refined and enriched these results with a series of expert interviews up to 1 h in length, including representatives from HTA agencies, research councils and researchers designed to cover a wide spectrum of precision medicine applications and research. RESULTS: We identified 31 relevant papers and interviewed 13 experts. We found that three types of precision medicine are expected to emerge in clinical practice: complex algorithms, digital health applications and ‘omics’-based tests. These are expected to impact upon each stage of the HTA process, from scoping and modelling through to decision-making and review. The complex and uncertain treatment pathways associated with patient stratification and fast-paced technological innovation are central to these effects. DISCUSSION: Innovation in precision medicine promises substantial benefits but will change the way in which some health services are delivered and evaluated. The shelf life of guidance may decrease, structural uncertainty may increase and new equity considerations will emerge. As biomarker discovery accelerates and artificial intelligence-based technologies emerge, refinements to the methods and processes of evidence assessments will help to adapt and maintain the objective of investing in healthcare that is value for money. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40273-018-0686-6) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-07-13 2018 /pmc/articles/PMC6244622/ /pubmed/30003435 http://dx.doi.org/10.1007/s40273-018-0686-6 Text en © The Author(s) 2018, corrected publication October 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Article Love-Koh, James Peel, Alison Rejon-Parrilla, Juan Carlos Ennis, Kate Lovett, Rosemary Manca, Andrea Chalkidou, Anastasia Wood, Hannah Taylor, Matthew The Future of Precision Medicine: Potential Impacts for Health Technology Assessment |
title | The Future of Precision Medicine: Potential Impacts for Health Technology Assessment |
title_full | The Future of Precision Medicine: Potential Impacts for Health Technology Assessment |
title_fullStr | The Future of Precision Medicine: Potential Impacts for Health Technology Assessment |
title_full_unstemmed | The Future of Precision Medicine: Potential Impacts for Health Technology Assessment |
title_short | The Future of Precision Medicine: Potential Impacts for Health Technology Assessment |
title_sort | future of precision medicine: potential impacts for health technology assessment |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244622/ https://www.ncbi.nlm.nih.gov/pubmed/30003435 http://dx.doi.org/10.1007/s40273-018-0686-6 |
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