This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (352) Decision Support for Health Professionals (1179) Clinical Information and Decision Making (1398) Demographics of Users, Social & Digital Divide (738) Health and Risk Communication (45) Electronic Health Records (1050) Health Services in Resource-Poor Settings and LMICs (413)

Published on in Vol 10, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31733, first published .
Using Electronic Health Record–Based Clinical Decision Support to Provide Social Risk–Informed Care in Community Health Centers: Protocol for the Design and Assessment of a Clinical Decision Support Tool

Using Electronic Health Record–Based Clinical Decision Support to Provide Social Risk–Informed Care in Community Health Centers: Protocol for the Design and Assessment of a Clinical Decision Support Tool

Using Electronic Health Record–Based Clinical Decision Support to Provide Social Risk–Informed Care in Community Health Centers: Protocol for the Design and Assessment of a Clinical Decision Support Tool

Authors of this article:

Rachel Gold1, 2 Author Orcid Image ;   Christina Sheppler1 Author Orcid Image ;   Danielle Hessler3 Author Orcid Image ;   Arwen Bunce2 Author Orcid Image ;   Erika Cottrell2 Author Orcid Image ;   Nadia Yosuf1 Author Orcid Image ;   Maura Pisciotta2 Author Orcid Image ;   Rose Gunn2 Author Orcid Image ;   Michael Leo1 Author Orcid Image ;   Laura Gottlieb3 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

Journals

  1. Gunn R, Pisciotta M, Gold R, Bunce A, Dambrun K, Cottrell E, Hessler D, Middendorf M, Alvarez M, Giles L, Gottlieb L. Partner-developed electronic health record tools to facilitate social risk-informed care planning. Journal of the American Medical Informatics Association 2023;30(5):869 View
  2. Gibbons J, Cram P, Meiselbach M, Anderson G, Bai G. Comparison of social determinants of health in Medicaid vs commercial health plans. Health Affairs Scholar 2023;1(6) View
  3. Kershaw K, Magnani J, Diez Roux A, Camacho-Rivera M, Jackson E, Johnson A, Magwood G, Morgenstern L, Salinas J, Sims M, Mujahid M. Neighborhoods and Cardiovascular Health: A Scientific Statement From the American Heart Association. Circulation: Cardiovascular Quality and Outcomes 2024;17(1) View
  4. Scherbakov D, Mollalo A, Lenert L. Stressful life events in electronic health records: a scoping review. Journal of the American Medical Informatics Association 2024;31(4):1025 View
  5. Mwogosi A, Shao D, Kibusi S, Kapologwe N. Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems. Journal of Health Organization and Management 2024;38(3):372 View
  6. Tang A, Woldemariam S, Miramontes S, Norgeot B, Oskotsky T, Sirota M. Harnessing EHR data for health research. Nature Medicine 2024;30(7):1847 View
  7. Cartier Y, Fichtenberg C, Grounds K, Blumenfeld N, Gottlieb L, Hessler Jones D. “We Need to Know These Things”: Use Cases for Combined Social and Clinical Data Among Primary Care-Based Clinical and Social Care Providers. Journal of Primary Care & Community Health 2024;15 View
  8. Egan K, Fiore J, Luo M, Kelly S, Adams W, Taveras E, Simione M, Kistin C. Food and housing insecurity, COVID-19 pandemic effects on health-related activities, and care plans for children with obesity. Academic Pediatrics 2024 View