2024
Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding
Shung D, Chan C, You K, Nakamura S, Saarinen T, Zheng N, Simonov M, Li D, Tsay C, Kawamura Y, Shen M, Hsiao A, Sekhon J, Laine L. Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding. Gastroenterology 2024, 167: 1198-1212. PMID: 38971198, PMCID: PMC11493512, DOI: 10.1053/j.gastro.2024.06.030.Peer-Reviewed Original ResearchElectronic health recordsGlasgow-Blatchford scoreEmergency departmentVery-low-risk patientsRisk scoreOakland scoreMachine learning modelsStructured data fieldsClinical risk scoreGastrointestinal bleedingAll-cause mortalityHealth recordsLearning modelsManual data entrySecondary analysisRisk stratification scoresAssess proportionRed blood-cell transfusionPrimary outcomeProportion of patientsData entryOvert gastrointestinal bleedingPrimary analysisReceiver-operating-characteristic curveVery-low-risk
2014
Using a Scripted Data Entry Process to Transfer Legacy Immunization Data While Transitioning Between Electronic Medical Record Systems
Michel J, Hsiao A, Fenick A. Using a Scripted Data Entry Process to Transfer Legacy Immunization Data While Transitioning Between Electronic Medical Record Systems. Applied Clinical Informatics 2014, 05: 284-298. PMID: 24734139, PMCID: PMC3974261, DOI: 10.4338/aci-2013-11-ra-0096.Peer-Reviewed Original ResearchConceptsElectronic medical recordsImmunization dataSystem's electronic medical recordHealth systemAppropriate patient careManual chart reviewManual chart abstractionElectronic medical record systemChart abstractionChart reviewMedical record systemMedical recordsClinical careData entryPatient careImmunizationPatient dataHealthcare facilitiesProcess evaluationRecord systemManual data entry