TY - JOUR
T1 - Assessing Real-World Data From Electronic Health Records for Health Technology Assessment
T2 - The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force
AU - Fleurence, Rachael L.
AU - Kent, Seamus
AU - Adamson, Blythe
AU - Tcheng, James
AU - Balicer, Ran
AU - Ross, Joseph S.
AU - Haynes, Kevin
AU - Muller, Patrick
AU - Campbell, Jon
AU - Bouée-Benhamiche, Elsa
AU - García Martí, Sebastián
AU - Ramsey, Scott
N1 - Publisher Copyright:
© 2024
PY - 2024/6/1
Y1 - 2024/6/1
N2 - 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.
AB - 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.
KW - data quality
KW - electronic health records
KW - health technology assessment
KW - real-world data
KW - real-world evidence
UR - http://www.scopus.com/inward/record.url?scp=85195522971&partnerID=8YFLogxK
U2 - 10.1016/j.jval.2024.01.019
DO - 10.1016/j.jval.2024.01.019
M3 - Article
C2 - 38871437
AN - SCOPUS:85195522971
SN - 1098-3015
VL - 27
SP - 692
EP - 701
JO - Value in Health
JF - Value in Health
IS - 6
ER -