Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force

Rachael L. Fleurence, Seamus Kent, Blythe Adamson, James Tcheng, Ran Balicer, Joseph S. Ross, Kevin Haynes, Patrick Muller, Jon Campbell, Elsa Bouée-Benhamiche, Sebastián García Martí, Scott Ramsey

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Pages (from-to)692-701
Number of pages10
JournalValue in Health
Volume27
Issue number6
DOIs
StatePublished - 1 Jun 2024
Externally publishedYes

Keywords

  • data quality
  • electronic health records
  • health technology assessment
  • real-world data
  • real-world evidence

ASJC Scopus subject areas

  • Health Policy
  • Public Health, Environmental and Occupational Health

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