2021
Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules
Shung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay JK, Taylor A. Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules. Journal Of Gastroenterology And Hepatology 2021, 36: 1590-1597. PMID: 33105045, DOI: 10.1111/jgh.15313.Peer-Reviewed Original ResearchConceptsNatural language processingElectronic health recordsLanguage processingNLP algorithmSystematized NomenclatureReal timeAcute gastrointestinal bleedingBidirectional Encoder RepresentationsDecision rulesEHR-based phenotyping algorithmsGastrointestinal bleedingRisk stratification scoresEncoder RepresentationsData elementsPhenotyping algorithmStratification scoresHealth recordsAlgorithmPhenotyping of patientsEmergency department patientsTime of presentationRisk stratification modelED reviewDeploymentExternal validation
2016
Cost-effectiveness of point-of-care testing for dehydration in the pediatric ED
Whitney RE, Santucci K, Hsiao A, Chen L. Cost-effectiveness of point-of-care testing for dehydration in the pediatric ED. The American Journal Of Emergency Medicine 2016, 34: 1573-1575. PMID: 27289438, DOI: 10.1016/j.ajem.2016.05.075.Peer-Reviewed Original ResearchConceptsAcute gastroenteritisPediatric emergency department (ED) visitsPOC testingEmergency department visitsLength of stayCost of admissionRandomized control trialChemistry testingCost-effective analysisDecision analysis modelCare testingDepartment visitsPediatric EDElectrolyte testingAdmission ratesSerum testingClinical assessmentControl trialMean savingsDegree of dehydrationPatientsCost savingsChildrenTrialsPayers