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Development of a social and environmental determinants of health informatics maturity model.
Espinoza, Juan C; Sehgal, Shruti; Phuong, Jimmy; Bahroos, Neil; Starren, Justin; Wilcox, Adam; Meeker, Daniella.
Afiliación
  • Espinoza JC; Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
  • Sehgal S; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Phuong J; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Bahroos N; Division of Biomedical and Health Informatics, University of Washington, Seattle, WA, USA.
  • Starren J; Harborview Injury Prevention Research Center, University of Washington, Seattle, WA, USA.
  • Wilcox A; University of Southern California Keck School of Medicine, Los Angeles, CA, USA.
  • Meeker D; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
J Clin Transl Sci ; 7(1): e266, 2023.
Article en En | MEDLINE | ID: mdl-38380394
ABSTRACT

Introduction:

Integrating social and environmental determinants of health (SEDoH) into enterprise-wide clinical workflows and decision-making is one of the most important and challenging aspects of improving health equity. We engaged domain experts to develop a SEDoH informatics maturity model (SIMM) to help guide organizations to address technical, operational, and policy gaps.

Methods:

We established a core expert group consisting of developers, informaticists, and subject matter experts to identify different SIMM domains and define maturity levels. The candidate model (v0.9) was evaluated by 15 informaticists at a Center for Data to Health community meeting. After incorporating feedback, a second evaluation round for v1.0 collected feedback and self-assessments from 35 respondents from the National COVID Cohort Collaborative, the Center for Leading Innovation and Collaboration's Informatics Enterprise Committee, and a publicly available online self-assessment tool.

Results:

We developed a SIMM comprising seven maturity levels across five domains data collection policies, data collection methods and technologies, technology platforms for analysis and visualization, analytics capacity, and operational and strategic impact. The evaluation demonstrated relatively high maturity in analytics and technological capacity, but more moderate maturity in operational and strategic impact among academic medical centers. Changes made to the tool in between rounds improved its ability to discriminate between intermediate maturity levels.

Conclusion:

The SIMM can help organizations identify current gaps and next steps in improving SEDoH informatics. Improving the collection and use of SEDoH data is one important component of addressing health inequities.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: J Clin Transl Sci Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: J Clin Transl Sci Año: 2023 Tipo del documento: Article