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Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force.
Fleurence, Rachael L; Kent, Seamus; Adamson, Blythe; Tcheng, James; Balicer, Ran; Ross, Joseph S; Haynes, Kevin; Muller, Patrick; Campbell, Jon; Bouée-Benhamiche, Elsa; García Martí, Sebastián; Ramsey, Scott.
  • Fleurence RL; Office of the Director, National Institutes of Health, Bethesda, MD, USA. Electronic address: rachael.fleurence@nih.gov.
  • Kent S; Erasmus School of Health & Policy Management, Erasmus University, Rotterdam, The Netherlands.
  • Adamson B; Flatiron Health, New York, NY, USA.
  • Tcheng J; Duke University, Durham, NC, USA.
  • Balicer R; Clalit Health Services, Tel-Aviv, Israel.
  • Ross JS; Yale School of Medicine, Yale University, New Haven, CT, USA.
  • Haynes K; Janssen Research and Development, Titusville, NJ, USA.
  • Muller P; Centre for Guidelines, National Institute for Health and Care Excellence, Manchester or London, England, UK.
  • Campbell J; National Pharmaceutical Council, Washington, DC, USA.
  • Bouée-Benhamiche E; Public Health and Healthcare Division, Institut National du Cancer, Boulogne-Billancourt, France.
  • García Martí S; Health Technology Assessment and Health Economics Department, Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
  • Ramsey S; Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Center, Seattle, WA, USA. Electronic address: sramsey@fredhutch.org.
Value Health ; 27(6): 692-701, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38871437
ABSTRACT
This ISPOR Good Practices report provides a framework for assessing the suitability of electronic health records data for use in health technology assessments (HTAs). Although electronic health record (EHR) data can fill evidence gaps and improve decisions, several important limitations can affect its validity and relevance. The ISPOR framework includes 2 components data delineation and data fitness for purpose. Data delineation provides a complete understanding of the data and an assessment of its trustworthiness by describing (1) data characteristics; (2) data provenance; and (3) data governance. Fitness for purpose comprises (1) data reliability items, ie, how accurate and complete the estimates are for answering the question at hand and (2) data relevance items, which assess how well the data are suited to answer the particular question from a decision-making perspective. The report includes a checklist specific to EHR data reporting the ISPOR SUITABILITY Checklist. It also provides recommendations for HTA agencies and policy makers to improve the use of EHR-derived data over time. The report concludes with a discussion of limitations and future directions in the field, including the potential impact from the substantial and rapid advances in the diffusion and capabilities of large language models and generative artificial intelligence. The report's immediate audiences are HTA evidence developers and users. We anticipate that it will also be useful to other stakeholders, particularly regulators and manufacturers, in the future.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Evaluación de la Tecnología Biomédica / Registros Electrónicos de Salud / Lista de Verificación Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Evaluación de la Tecnología Biomédica / Registros Electrónicos de Salud / Lista de Verificación Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article