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Connection

Elbert Huang to Electronic Health Records

This is a "connection" page, showing publications Elbert Huang has written about Electronic Health Records.
Connection Strength

0.552
  1. The Development and Validation of a Machine Learning Model to Predict Bacteremia and Fungemia in Hospitalized Patients Using Electronic Health Record Data. Crit Care Med. 2020 11; 48(11):e1020-e1028.
    View in: PubMed
    Score: 0.149
  2. CommunityRx: A Real-World Controlled Clinical Trial of a Scalable, Low-Intensity Community Resource Referral Intervention. Am J Public Health. 2019 04; 109(4):600-606.
    View in: PubMed
    Score: 0.133
  3. Patient-provider communication and trust in relation to use of an online patient portal among diabetes patients: The Diabetes and Aging Study. J Am Med Inform Assoc. 2013 Nov-Dec; 20(6):1128-31.
    View in: PubMed
    Score: 0.089
  4. Electronic Health Records (EHRs) Can Identify Patients at High Risk of Fracture but Require Substantial Race Adjustments to Currently Available Fracture Risk Calculators. J Gen Intern Med. 2023 Dec; 38(16):3451-3459.
    View in: PubMed
    Score: 0.046
  5. Early experience of the quality improvement award program in federally funded health centers. Health Serv Res. 2022 10; 57(5):1070-1076.
    View in: PubMed
    Score: 0.041
  6. Impact of a Low-Intensity Resource Referral Intervention on Patients' Knowledge, Beliefs, and Use of Community Resources: Results from the CommunityRx Trial. J Gen Intern Med. 2020 03; 35(3):815-823.
    View in: PubMed
    Score: 0.035
  7. Development and Validation of a Tool to Identify Patients With Type 2 Diabetes at High Risk of Hypoglycemia-Related Emergency Department or Hospital Use. JAMA Intern Med. 2017 10 01; 177(10):1461-1470.
    View in: PubMed
    Score: 0.030
  8. Diabetic foot ulcer severity predicts mortality among veterans with type 2 diabetes. J Diabetes Complications. 2017 Mar; 31(3):556-561.
    View in: PubMed
    Score: 0.029
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.