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

Tools, Programs and Algorithms (246)

Published on in Vol 4, No 4 (2016): Oct-Dec

Weighting Primary Care Patient Panel Size: A Novel Electronic Health Record-Derived Measure Using Machine Learning

Weighting Primary Care Patient Panel Size: A Novel Electronic Health Record-Derived Measure Using Machine Learning

Weighting Primary Care Patient Panel Size: A Novel Electronic Health Record-Derived Measure Using Machine Learning

Authors of this article:

Alvin Rajkomar1 Author Orcid Image ;   Joanne Wing Lan Yim2 Author Orcid Image ;   Kevin Grumbach3, 4 Author Orcid Image ;   Ami Parekh1, 3 Author Orcid Image
Article Authors Cited by (21) Tweetations (3) Metrics

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  12. Bonfim D, Mafra A, da Costa Palacio D, Rewa T. Assessment of staffing needs for registered nurses and licensed practical nurses at primary care units in Brazil using Workload Indicators of Staffing Need (WISN) method. Human Resources for Health 2022;19(S1) View
  13. Quazi S. Artificial intelligence and machine learning in precision and genomic medicine. Medical Oncology 2022;39(8) View
  14. Ganguli I, Mulligan K, Phillips R, Basu S. How the Gender Wage Gap for Primary Care Physicians Differs by Compensation Approach. Annals of Internal Medicine 2022;175(8):1135 View
  15. Mayo-Smith M, Robbins R, Murray M, Weber R, Bagley P, Vitale E, Paige N. Analysis of Variation in Organizational Definitions of Primary Care Panels. JAMA Network Open 2022;5(4):e227497 View
  16. Ganguli I, Rivara F, Inouye S. Gender Differences in Electronic Health Record Work—Amplifying the Gender Pay and Time Gap in Medicine. JAMA Network Open 2022;5(3):e223940 View
  17. Chen H. Managing a multi-panel clinic with heterogeneous patients. Health Care Management Science 2023;26(4):673 View
  18. Ranjbari D, Abbasgholizadeh Rahimi S. Implications of conscious AI in primary healthcare. Family Medicine and Community Health 2024;12(Suppl 1):e002625 View

Books/Policy Documents

  1. . AI Doctor. View
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