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Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals?
Judicious use of real‐world data (RWD) is expected to make all steps in the development and use of pharmaceuticals more effective and efficient, including research and development, regulatory decision making, health technology assessment, pricing, and reimbursement decisions and treatment. A “learni...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587701/ https://www.ncbi.nlm.nih.gov/pubmed/30178490 http://dx.doi.org/10.1002/cpt.1226 |
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author | Eichler, Hans‐Georg Bloechl‐Daum, Brigitte Broich, Karl Kyrle, Paul Alexander Oderkirk, Jillian Rasi, Guido Santos Ivo, Rui Schuurman, Ad Senderovitz, Thomas Slawomirski, Luke Wenzl, Martin Paris, Valerie |
author_facet | Eichler, Hans‐Georg Bloechl‐Daum, Brigitte Broich, Karl Kyrle, Paul Alexander Oderkirk, Jillian Rasi, Guido Santos Ivo, Rui Schuurman, Ad Senderovitz, Thomas Slawomirski, Luke Wenzl, Martin Paris, Valerie |
author_sort | Eichler, Hans‐Georg |
collection | PubMed |
description | Judicious use of real‐world data (RWD) is expected to make all steps in the development and use of pharmaceuticals more effective and efficient, including research and development, regulatory decision making, health technology assessment, pricing, and reimbursement decisions and treatment. A “learning healthcare system” based on electronic health records and other routinely collected data will be required to harness the full potential of RWD to complement evidence based on randomized controlled trials. We describe and illustrate with examples the growing demand for a learning healthcare system; we contrast the exigencies of an efficient pharmaceutical ecosystem in the future with current deficiencies highlighted in recently published Organisation for Economic Co‐operation and Development (OECD) reports; and we reflect on the steps necessary to enable the transition from healthcare data to actionable information. A coordinated effort from all stakeholders and international cooperation will be required to increase the speed of implementation of the learning healthcare system, to everybody's benefit. |
format | Online Article Text |
id | pubmed-6587701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65877012019-07-02 Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals? Eichler, Hans‐Georg Bloechl‐Daum, Brigitte Broich, Karl Kyrle, Paul Alexander Oderkirk, Jillian Rasi, Guido Santos Ivo, Rui Schuurman, Ad Senderovitz, Thomas Slawomirski, Luke Wenzl, Martin Paris, Valerie Clin Pharmacol Ther Reviews Judicious use of real‐world data (RWD) is expected to make all steps in the development and use of pharmaceuticals more effective and efficient, including research and development, regulatory decision making, health technology assessment, pricing, and reimbursement decisions and treatment. A “learning healthcare system” based on electronic health records and other routinely collected data will be required to harness the full potential of RWD to complement evidence based on randomized controlled trials. We describe and illustrate with examples the growing demand for a learning healthcare system; we contrast the exigencies of an efficient pharmaceutical ecosystem in the future with current deficiencies highlighted in recently published Organisation for Economic Co‐operation and Development (OECD) reports; and we reflect on the steps necessary to enable the transition from healthcare data to actionable information. A coordinated effort from all stakeholders and international cooperation will be required to increase the speed of implementation of the learning healthcare system, to everybody's benefit. John Wiley and Sons Inc. 2018-10-14 2019-04 /pmc/articles/PMC6587701/ /pubmed/30178490 http://dx.doi.org/10.1002/cpt.1226 Text en © 2018 The Authors Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Reviews Eichler, Hans‐Georg Bloechl‐Daum, Brigitte Broich, Karl Kyrle, Paul Alexander Oderkirk, Jillian Rasi, Guido Santos Ivo, Rui Schuurman, Ad Senderovitz, Thomas Slawomirski, Luke Wenzl, Martin Paris, Valerie Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals? |
title | Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals? |
title_full | Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals? |
title_fullStr | Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals? |
title_full_unstemmed | Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals? |
title_short | Data Rich, Information Poor: Can We Use Electronic Health Records to Create a Learning Healthcare System for Pharmaceuticals? |
title_sort | data rich, information poor: can we use electronic health records to create a learning healthcare system for pharmaceuticals? |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587701/ https://www.ncbi.nlm.nih.gov/pubmed/30178490 http://dx.doi.org/10.1002/cpt.1226 |
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