Computational phenotypes for patients with opioid-related disorders presenting to the emergency department
Taylor R, Gilson A, Schulz W, Lopez K, Young P, Pandya S, Coppi A, Chartash D, Fiellin D, D’Onofrio G. Computational phenotypes for patients with opioid-related disorders presenting to the emergency department. PLOS ONE 2023, 18: e0291572. PMID: 37713393, PMCID: PMC10503758, DOI: 10.1371/journal.pone.0291572.Peer-Reviewed Original ResearchConceptsSubstance use disordersUse disordersED visitsPatient presentationCarlson comorbidity indexOpioid-related diagnosesOpioid-related disordersOne-year survivalRate of medicationOpioid use disorderElectronic health record dataPatient-oriented outcomesYears of ageHealth record dataChronic substance use disordersED returnComorbidity indexAcute overdoseMedical managementClinical entityRetrospective studyEmergency departmentChronic conditionsInclusion criteriaUnique cohortAutomatable end‐of‐life screening for older adults in the emergency department using electronic health records
Haimovich A, Xu W, Wei A, Schonberg M, Hwang U, Taylor R. Automatable end‐of‐life screening for older adults in the emergency department using electronic health records. Journal Of The American Geriatrics Society 2023, 71: 1829-1839. PMID: 36744550, PMCID: PMC10258151, DOI: 10.1111/jgs.18262.Peer-Reviewed Original ResearchConceptsAdvance care planningDecision curve analysisLife screeningComorbidity indexCode statusPrognostic modelHealth systemOlder adultsCurve analysisOlder ED patientsPalliative care interventionsObservational cohort studyEmergency department visitsPalliative care servicesElixhauser Comorbidity IndexReceiver-operating characteristic curveIdentification of patientsMultivariable logistic regressionLarge regional health systemLife-limiting illnessRisk older adultsCode status ordersLife Screening ToolMortality predictive modelsElectronic health records