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How Electronic Clinical Data Can Improve Health Technology Assessment
Health technology assessments represent comprehensive summaries of available evidence and information on a technology. They are used by medical decision makers in a variety of ways, including diagnostic testing, treatment selection, care management, patient perspectives, patient safety, insurance co...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AcademyHealth
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4371479/ https://www.ncbi.nlm.nih.gov/pubmed/25848573 http://dx.doi.org/10.13063/2327-9214.1028 |
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author | Treadwell, Jonathan R. Erinoff, Eileen Coates, Vivian |
author_facet | Treadwell, Jonathan R. Erinoff, Eileen Coates, Vivian |
author_sort | Treadwell, Jonathan R. |
collection | PubMed |
description | Health technology assessments represent comprehensive summaries of available evidence and information on a technology. They are used by medical decision makers in a variety of ways, including diagnostic testing, treatment selection, care management, patient perspectives, patient safety, insurance coverage, pharmaceutical innovation, equipment planning, device purchasing, and total cost-of-care. Electronic clinical data, which are captured routinely by clinicians and hospitals, are only rarely incorporated into formal health technology assessments. This disconnect reveals a key opportunity. In this paper, we discuss current uses of electronic clinical data, several benefits of including it in health technology assessments, potential pitfalls of that inclusion, and the implications for better medical decisions. |
format | Online Article Text |
id | pubmed-4371479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | AcademyHealth |
record_format | MEDLINE/PubMed |
spelling | pubmed-43714792015-04-06 How Electronic Clinical Data Can Improve Health Technology Assessment Treadwell, Jonathan R. Erinoff, Eileen Coates, Vivian EGEMS (Wash DC) Learning Health System Health technology assessments represent comprehensive summaries of available evidence and information on a technology. They are used by medical decision makers in a variety of ways, including diagnostic testing, treatment selection, care management, patient perspectives, patient safety, insurance coverage, pharmaceutical innovation, equipment planning, device purchasing, and total cost-of-care. Electronic clinical data, which are captured routinely by clinicians and hospitals, are only rarely incorporated into formal health technology assessments. This disconnect reveals a key opportunity. In this paper, we discuss current uses of electronic clinical data, several benefits of including it in health technology assessments, potential pitfalls of that inclusion, and the implications for better medical decisions. AcademyHealth 2013-10-28 /pmc/articles/PMC4371479/ /pubmed/25848573 http://dx.doi.org/10.13063/2327-9214.1028 Text en All eGEMs publications are licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Learning Health System Treadwell, Jonathan R. Erinoff, Eileen Coates, Vivian How Electronic Clinical Data Can Improve Health Technology Assessment |
title | How Electronic Clinical Data Can Improve Health Technology Assessment |
title_full | How Electronic Clinical Data Can Improve Health Technology Assessment |
title_fullStr | How Electronic Clinical Data Can Improve Health Technology Assessment |
title_full_unstemmed | How Electronic Clinical Data Can Improve Health Technology Assessment |
title_short | How Electronic Clinical Data Can Improve Health Technology Assessment |
title_sort | how electronic clinical data can improve health technology assessment |
topic | Learning Health System |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4371479/ https://www.ncbi.nlm.nih.gov/pubmed/25848573 http://dx.doi.org/10.13063/2327-9214.1028 |
work_keys_str_mv | AT treadwelljonathanr howelectronicclinicaldatacanimprovehealthtechnologyassessment AT erinoffeileen howelectronicclinicaldatacanimprovehealthtechnologyassessment AT coatesvivian howelectronicclinicaldatacanimprovehealthtechnologyassessment |