Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Treadwell, Jonathan R., Erinoff, Eileen, Coates, Vivian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AcademyHealth 2013
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
_version_ 1782363050184015872
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