Connection

HASHEM EL-SERAG to Electronic Health Records

This is a "connection" page, showing publications HASHEM EL-SERAG has written about Electronic Health Records.
Connection Strength

1.154
  1. An Electronic Health Record Model for Predicting Risk of Hepatic Fibrosis in Primary Care Patients. Dig Dis Sci. 2024 Jul; 69(7):2430-2436.
    View in: PubMed
    Score: 0.513
  2. Impact of an Electronic Medical Record Quality Improvement Intervention on Helicobacter pylori Treatment and Eradication Rates in a U.S. Hospital System. Helicobacter. 2025 Mar-Apr; 30(2):e70034.
    View in: PubMed
    Score: 0.136
  3. Limits of the AGA Practice Update for Barrett's Esophagus Screening: A Proposal for Electronic Health Record-Adaptable Risk Models. Clin Gastroenterol Hepatol. 2023 Jul; 21(7):1963-1964.
    View in: PubMed
    Score: 0.114
  4. Development and Validation of the Houston-BEST, a Barrett's Esophagus Risk Prediction Model Adaptable to Electronic Health Records. Clin Gastroenterol Hepatol. 2023 08; 21(9):2424-2426.e0.
    View in: PubMed
    Score: 0.114
  5. Accurate Identification of Fatty Liver Disease in Data Warehouse Utilizing Natural Language Processing. Dig Dis Sci. 2017 10; 62(10):2713-2718.
    View in: PubMed
    Score: 0.081
  6. Automated identification of surveillance colonoscopy in inflammatory bowel disease using natural language processing. Dig Dis Sci. 2013 Apr; 58(4):936-41.
    View in: PubMed
    Score: 0.058
  7. Reducing referral delays in colorectal cancer diagnosis: is it about how you ask? Qual Saf Health Care. 2010 Oct; 19(5):e27.
    View in: PubMed
    Score: 0.049
  8. Underdiagnosis of Lynch syndrome involves more than family history criteria. Clin Gastroenterol Hepatol. 2010 Jun; 8(6):523-9.
    View in: PubMed
    Score: 0.048
  9. Effectiveness of Elbasvir/Grazoprevir in patients with hepatitis C virus genotype 1 infection and chronic kidney disease in the United States veterans population. Antiviral Res. 2020 02; 174:104698.
    View in: PubMed
    Score: 0.024
  10. Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing. Med Care. 2016 Feb; 54(2):e9-14.
    View in: PubMed
    Score: 0.018
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.