Using K-Means Clustering to Identify Physician Clusters by Electronic Health Record Burden and Efficiency-Reference-Cited by-同舟云学术

Using K-Means Clustering to Identify Physician Clusters by Electronic Health Record Burden and Efficiency

Author:

Sim Jasper¹^ORCID,Mani Kyle¹,Fazzari Melissa²,Lin Juan²,Keller Marla³,Kitsis Elizabeth⁴,Raheem Arz⁵,Jariwala Sunit P.⁶

Affiliation:

1. Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA.

2. Division of Biostatistics, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.

3. Division of Infectious Diseases, Department of Medicine; Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.

4. Division of Rheumatology, Department of Medicine; Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.

5. Department of Digital Transformation, Montefiore Medical Center, Bronx, New York, USA.

6. Division of Allergy and Immunology, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.

Publisher

Mary Ann Liebert Inc

Subject

Health Information Management,Health Informatics,General Medicine,Immunology

Link

Reference40 articles.

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1. Measuring Documentation Burden in Healthcare;Journal of General Internal Medicine;2024-07-29