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Alvin Rajkomar, MD

TitleHS Asst. Clinical Professor
SchoolUCSF School of Medicine
DepartmentMedicine
Address533 Parnassus Avenue
San Francisco CA 94117
Phone415-476-5924
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    Collapse Education and Training
    Columbia UniversityMedical Degree2010College of Physicians and Surgeons
    University of California, San FranciscoResidency2013Internal Medicine
    University of California, San FranciscoFellowship2014Hospital Medicine

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    Alvin Rajkomar, MD is an Assistant Clinical Professor of Medicine in the Division of Hospital Medicine at the University of California, at San Francisco (UCSF). He is also the Director of Clinical Data Science at UCSF's Center for Digital Health Innovation. After graduating with a degree in Chemistry and Physics at Harvard, he completed medical school at Columbia University, his residency in internal medicine at UCSF, and fellowship in Hospital Medicine at UCSF.

    His research centers around applying deep learning, a type of machine learning technique, to structured and unstructured data from the electronic health record and to images from radiology archives. His focus is creating and deploying algorithms that will directly improve clinical care; one of his algorithms has already been deployed and is in use by the health system for dynamic risk adjustment of primary care patients.


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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Rushakoff RJ, Sullivan MM, MacMaster HW, Shah AD, Rajkomar A, Glidden DV, Kohn MA. Association Between a Virtual Glucose Management Service and Glycemic Control in Hospitalized Adult Patients: An Observational Study. Ann Intern Med. 2017 Mar 28. PMID: 28346946.
      View in: PubMed
    2. Monash B, Najafi N, Mourad M, Rajkomar A, Ranji SR, Fang MC, Glass M, Milev D, Ding Y, Shen A, Sharpe BA, Harrison JD. Standardized Attending Rounds to Improve the Patient Experience: A Pragmatic Cluster Randomized Controlled Trial. J Hosp Med. 2017 Mar; 12(3):143-149. PMID: 28272589.
      View in: PubMed
    3. Rajkomar A, Ranji SR, Sharpe B. Using the Electronic Health Record to Identify Educational Gaps for Internal Medicine Interns. J Grad Med Educ. 2017 Feb; 9(1):109-112. PMID: 28261404.
      View in: PubMed
    4. Zygourakis CC, Valencia V, Moriates C, Boscardin CK, Catschegn S, Rajkomar A, Bozic KJ, Soo Hoo K, Goldberg AN, Pitts L, Lawton MT, Dudley RA, Gonzales R. Association Between Surgeon Scorecard Use and Operating Room Costs. JAMA Surg. 2016 Dec 07. PMID: 27926758.
      View in: PubMed
    5. Rajkomar A, Yim JW, Grumbach K, Parekh A. Weighting Primary Care Patient Panel Size: A Novel Electronic Health Record-Derived Measure Using Machine Learning. JMIR Med Inform. 2016 Oct 14; 4(4):e29. PMID: 27742603.
      View in: PubMed
    6. Rajkomar A, Lingam S, Taylor AG, Blum M, Mongan J. High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks. J Digit Imaging. 2016 Oct 11. PMID: 27730417.
      View in: PubMed
    7. Greysen SR, Magan Mendoza Y, Rosenthal J, Jacolbia R, Rajkomar A, Lee H, Auerbach A. Using Tablet Computers to Increase Patient Engagement With Electronic Personal Health Records: Protocol For a Prospective, Randomized Interventional Study. JMIR Res Protoc. 2016; 5(3):e176. PMID: 27599452.
      View in: PubMed
    8. Rajkomar A, McCulloch CE, Fang MC, et al. The Low Diagnostic Utility of Rechecking Hemoglobins within 24 Hours in Hospitalized Patients. Am J Med. 2016 Jul 21. PMID: 27452681.
      View in: PubMed
    9. Rajkomar A, Valencia V, Novelero M, Mourad M, Auerbach A. The association between discharge before noon and length of stay in medical and surgical patients. J Hosp Med. 2015 Dec 30. PMID: 26717556.
      View in: PubMed
    10. Rajkomar A, Dhaliwal G. Improving diagnostic reasoning to improve patient safety. Perm J. 2011; 15(3):68-73. PMID: 22058672; PMCID: PMC3200103.
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