2024
Detection of Gastrointestinal Bleeding with Large Language Models to Aid Quality Improvement and Appropriate Reimbursement
Zheng N, Keloth V, You K, Kats D, Li D, Deshpande O, Sachar H, Xu H, Laine L, Shung D. Detection of Gastrointestinal Bleeding with Large Language Models to Aid Quality Improvement and Appropriate Reimbursement. Gastroenterology 2024 PMID: 39304088, DOI: 10.1053/j.gastro.2024.09.014.Peer-Reviewed Original ResearchElectronic health recordsOvert gastrointestinal bleedingGastrointestinal bleedingRecurrent bleedingMachine learning modelsHealth recordsClinically relevant applicationsNursing notesLanguage modelAcute gastrointestinal bleedingQuality improvementLearning modelsDetection of gastrointestinal bleedingReimbursementIdentification of clinical conditionsSeparate hospitalsQuality measuresHospitalBleedingClinical conditionsPatient managementEarly identificationPatientsReimbursement codesCoding algorithm
2023
Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis
Shung D, Lin J, Laine L. Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis. The American Journal Of Gastroenterology 2023, 119: 371-373. PMID: 37753930, PMCID: PMC10872988, DOI: 10.14309/ajg.0000000000002520.Peer-Reviewed Original ResearchUpper gastrointestinal bleedingCost-minimization analysisGastrointestinal bleedingUsual careTriage strategiesAcute upper gastrointestinal bleedingClinical risk scoreLow-risk patientsHealthcare payer perspectiveMinimization analysisRisk assessment toolRisk stratificationEmergency departmentPayer perspectiveRisk scoreBleedingAssessment toolCareRisk assessment modelMachine-learning strategiesPatientsCumulative savingsTu1975 PROVIDER TRUST AND PERCEIVED USEFULNESS OF MACHIINE LEARNING RISK STRATIFICATION TOOL FOR ACUTE UPPER GASTROINTESTINAL BLEEDING USING THE TECHNOLOGY ACCEPTANCE MODEL: A PILOT STUDY
Huebner J, Chung S, Kizilcec R, Laine L, Shung D. Tu1975 PROVIDER TRUST AND PERCEIVED USEFULNESS OF MACHIINE LEARNING RISK STRATIFICATION TOOL FOR ACUTE UPPER GASTROINTESTINAL BLEEDING USING THE TECHNOLOGY ACCEPTANCE MODEL: A PILOT STUDY. Gastroenterology 2023, 164: s-1168-s-1169. DOI: 10.1016/s0016-5085(23)03693-4.Peer-Reviewed Original Research
2020
Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data.
Shung D, Laine L. Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data. The American Journal Of Gastroenterology 2020, 115: 1199-1200. PMID: 32530828, PMCID: PMC7415736, DOI: 10.14309/ajg.0000000000000720.Commentaries, Editorials and LettersConceptsRisk assessment toolGastrointestinal bleedingIntensive care unit patientsClinical risk assessment toolCare unit patientsElectronic health record dataHealth record dataLevel of careAssessment toolElectronic health recordsAPACHE IVaHospital mortalityHospital courseUnit patientsPrognostic toolClinical practicePrognostic modelHealth recordsRecord dataBleedingExternal validationPatientsLack of generalizabilityMortalityCare
2019
Early Colonoscopy Does Not Improve Outcomes of Patients With Lower Gastrointestinal Bleeding: Systematic Review of Randomized Trials
Tsay C, Shung D, Stemmer Frumento K, Laine L. Early Colonoscopy Does Not Improve Outcomes of Patients With Lower Gastrointestinal Bleeding: Systematic Review of Randomized Trials. Clinical Gastroenterology And Hepatology 2019, 18: 1696-1703.e2. PMID: 31843595, PMCID: PMC7292779, DOI: 10.1016/j.cgh.2019.11.061.Peer-Reviewed Original ResearchConceptsAcute lower gastrointestinal bleedingLower gastrointestinal bleedingRandomized trialsEarly colonoscopyElective colonoscopyGastrointestinal bleedingSecondary outcomesHemostatic interventionEndoscopic interventionDiagnostic yieldSevere acute lower gastrointestinal bleedingSystematic reviewDual independent reviewTiming of colonoscopyOutcomes of patientsHours of presentationRandom-effects modelRecurrent bleedingPrimary outcomeIndex examinationColonoscopy evaluationBias assessmentObservational studyBleedingColonoscopy