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Adarsha Siddhi Bajracharya MD

TitleAssistant Professor
InstitutionUniversity of Massachusetts Medical School
DepartmentMedicine
AddressUniversity of Massachusetts Medical School
368 Plantation Street, AS8-1078
Worcester MA 01605
Phone508-334-8515
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    Other Positions
    InstitutionUMMS - School of Medicine
    DepartmentMedicine
    DivisionClinical Informatics

    InstitutionUMMS - School of Medicine
    DepartmentPopulation and Quantitative Health Sciences


    Collapse Biography 
    Collapse education and training
    Harvard Medical School, Boston, MA, United StatesMSBiomedical/Clinical Informatic
    Manipal Academy of Higher Education, Mangalore, , IndiaMBBSMedical Sciences
    Steward Carney Hospital, Boston, MA, United StatesInternal Medicine Residency06/2010
    Beth Israel Deaconess Medical Center, Boston, MA, United StatesClinical Informatics Fellowship06/2015

    Collapse Overview 
    Collapse overview

    Dr Bajracharya is an assistant professor of medicine and population and quantitative health sciences at University of Massachusetts Medical School. He is a practicing physician board certified in Internal Medicine and Clinical Informatics.

    Dr Bajracharya’s clinical and research interests include optimizing use of information technology to improve care delivery and evaluating its role in improving patient and provider engagement, and health outcome.  His is interested in adopting of virtual care, design thinking, behavioral economics, and machine learning to improve workflow, patient engagement and access to care.  He has led implementation of Epic sepsis predictive model to promote early detection of patients with sepsis, and development of workflow Epic tool to promote advance care planning discussion and documentation. His current research and quality improvement activities include development of telemedicine programs for virtual outpatient follow up for patients post pacemaker placement and virtual visits for patients with opioid use disorder and use of behavioral economics based intervention to reduce gaps in care for diabetic patients.




    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
    List All   |   Timeline
    1. Rongali S, Rose AJ, McManus DD, Bajracharya AS, Kapoor A, Granillo E, Yu H. Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation. J Med Internet Res. 2020 Mar 23; 22(3):e16374. PMID: 32202503.
      View in: PubMed
    2. Hu B, Bajracharya A, Yu H. Generating Medical Assessments Using a Neural Network Model: Algorithm Development and Validation. JMIR Med Inform. 2020 Jan 15; 8(1):e14971. PMID: 31939742.
      View in: PubMed
    3. Adarsha, A. S., Reader, K., & Erban, S. . User Experience, IoMT, and Healthcare. AIS Transactions on Human-Computer Interaction. 2019; 4(11):264-273.
    4. Bajracharya AS, Crotty BH, Kowoloff HB, Safran C, Slack WV. Patient experience with family history tool: analysis of patients' experience sharing their family health history through patient-computer dialogue in a patient portal. J Am Med Inform Assoc. 2019 Apr 04. PMID: 30946464.
      View in: PubMed
    5. Quintana Y, Fahy D, Crotty B, Jain R, Kaldany E, Gorenberg M, Lipsitz L, Engorn D, Rodriguez J, Orfanos A, Bajracharya A, Henao J, Adra M, Skerry D, Slack WV, Safran C. InfoSAGE: Supporting Elders and Families through Online Family Networks. AMIA Annu Symp Proc. 2018; 2018:932-941. PMID: 30815136.
      View in: PubMed
    6. Quintana Y, Crotty B, Fahy D, Orfanos A, Jain R, Kaldany E, Lipsitz L, Engorn D, Rodriguez J, Pandolfe F, Bajracharya A, Slack WV, Safran C. InfoSAGE: Use of Online Technologies for Communication and Elder Care. Stud Health Technol Inform. 2017; 234:280-285. PMID: 28186055.
      View in: PubMed
    7. Bajracharya AS, Crotty BH, Kowaloff HB, Safran C, Slack WV. Improving health care proxy documentation using a web-based interview through a patient portal. J Am Med Inform Assoc. 2016 May; 23(3):580-7. PMID: 26568608; PMCID: PMC4901371 [Available on 05/01/17].
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