Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure
Adejumo P, Thangaraj P, Dhingra L, Aminorroaya A, Zhou X, Brandt C, Xu H, Krumholz H, Khera R. Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure. JAMA Network Open 2024, 7: e2443925. PMID: 39509128, PMCID: PMC11544492, DOI: 10.1001/jamanetworkopen.2024.43925.Peer-Reviewed Original ResearchConceptsFunctional status assessmentArea under the receiver operating characteristic curveClinical documentationElectronic health record dataHF symptomsOptimal care deliveryHealth record dataAssess functional statusStatus assessmentClinical trial participationProcessing of clinical documentsFunctional status groupCare deliveryOutpatient careMain OutcomesMedical notesTrial participantsNew York Heart AssociationFunctional statusQuality improvementRecord dataHeart failureClinical notesDiagnostic studiesStatus groupsUtility of the PICOTS framework to assess clinical trial disruptions: monitoring the impact of COVID-19 in the Pain Management Collaboratory
Peduzzi P, Brandt C, Dearth C, Dziura J, Farrokhi S, George S, Kyriakides T, Long C, Mascha E, Patterson C, Rhon D, Kerns R. Utility of the PICOTS framework to assess clinical trial disruptions: monitoring the impact of COVID-19 in the Pain Management Collaboratory. Pain Medicine 2024, 25: s34-s40. PMID: 39514876, PMCID: PMC11548861, DOI: 10.1093/pm/pnae078.Peer-Reviewed Original ResearchConceptsPain Management CollaboratoryPICOTS frameworkIndividual-level randomizationPain management researchPragmatic clinical trialsIntervention fidelityCare deliveryStepped-wedgeSpecialty careClinical partnersCOVID-19 experienceIn-personPain managementOutcome assessmentStudy designCOVID-19Nonpharmacologic approachesImpact of COVID-19PICOTExperimental interventionLead investigatorsTrial designDesign of clinical trialsAffective deliveryPain