Voluntary Faculty
Voluntary faculty are typically clinicians or others who are employed outside of the School but make significant contributions to department programs at the medical center or at affiliate institutions.
Voluntary rank detailsShawn Ong, MD, MHS, FAMIA
he/him/his
Assistant Clinical ProfessorAbout
Research
Publications
2025
The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden
Wright D, Kanaparthy N, Melnick E, Levy D, Huot S, Hsiao A, Schwamm L, Ong S. The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden. Applied Clinical Informatics 2025, 16: 872-878. PMID: 40602775, PMCID: PMC12367366, DOI: 10.1055/a-2647-1142.Peer-Reviewed Original ResearchConceptsDocumentation burdenResident physician traineesPhysician traineesSystem Usability ScaleNet Promoter ScoreAssociated with improvementsMeasures of acceptabilityPilot periodNASA Task Load IndexMeasures of usabilityProspective observational studyTask Load IndexTrainee experienceNASA-TLX scoresUsability ScaleTrainee learningObservational studyGenerative artificial intelligenceTraineesPromoter ScoreArtificial intelligenceUtilization metricsTrainee useBurdenNASA-TLX
2023
A Novel Approach to Delivering Evidence-based, High-quality Care in Psychiatry Through an Electronic Integrated Care Pathway (eICP) Pilot
Li L, Kruger M, Kim N, Ong S, Riley S, Cameron K, Koslosky K, Rhodes D. A Novel Approach to Delivering Evidence-based, High-quality Care in Psychiatry Through an Electronic Integrated Care Pathway (eICP) Pilot. Psychiatric Quarterly 2023, 94: 103-111. PMID: 36840898, PMCID: PMC9959944, DOI: 10.1007/s11126-023-10016-z.Peer-Reviewed Original ResearchConceptsElectronic health recordsUser-friendly experienceEvidence-based decision support toolUsage trackingDecision support toolSupport toolHealth recordsIntegrated care pathwayNovel approachService areaTeam structureImplementationEarly adoptionAdoptionTechnology columnHealth service areasAcademic medical centerQuality of careHigh-quality careTrackingAdoption resultsCare pathwayFuture directionsMedical CenterTechnology
2022
Deprescription of aspirin for primary prevention is uncommon at discharge in hospitalised patients with gastrointestinal bleeding
Li D, Ong S, Hughes M, Hung K, Agarwal R, Alexis J, Damianos J, Sharma S, Pires J, Nanna M, Laine L. Deprescription of aspirin for primary prevention is uncommon at discharge in hospitalised patients with gastrointestinal bleeding. Alimentary Pharmacology & Therapeutics 2022, 57: 94-102. PMID: 36394111, DOI: 10.1111/apt.17278.Peer-Reviewed Original ResearchConceptsMajor adverse cardiovascular eventsGastrointestinal bleedingPrimary preventionCardiovascular eventsRisk of MACEYale-New Haven HospitalPrimary cardiovascular preventionAdverse cardiovascular eventsKaplan-Meier curvesLong-term outcomesRisk-benefit ratioLog-rank testAspirin 81Hospitalised patientsPrimary endpointSecondary endpointsCardiovascular preventionSubsequent hospitalisationMedian ageDeprescriptionHigh riskAspirinHospitalisationPatientsPrevention
2021
How a Virtual Scribe Program Improves Physicians’ EHR Experience, Documentation Time, and Note Quality
Ong S, Moore Jeffery M, Williams B, O’Connell R, Goldstein R, Melnick E. How a Virtual Scribe Program Improves Physicians’ EHR Experience, Documentation Time, and Note Quality. NEJM Catalyst 2021, 2 DOI: 10.1056/cat.21.0294.Peer-Reviewed Original ResearchA Machine Learning Model to Successfully Predict Future Diagnosis of Chronic Myelogenous Leukemia With Retrospective Electronic Health Records Data
Hauser RG, Esserman D, Beste LA, Ong SY, Colomb DG, Bhargava A, Wadia R, Rose MG. A Machine Learning Model to Successfully Predict Future Diagnosis of Chronic Myelogenous Leukemia With Retrospective Electronic Health Records Data. American Journal Of Clinical Pathology 2021, 156: 1142-1148. PMID: 34184028, DOI: 10.1093/ajcp/aqab086.Peer-Reviewed Original ResearchConceptsBlood cell countChronic myelogenous leukemiaCell countMyelogenous leukemiaRetrospective electronic health record dataDiagnosis of CMLLarge integrated health care systemDifferential blood cell countsIntegrated health care systemUsual medical careTime of diagnosisElectronic health record dataClonal stem cell disorderHealth record dataStem cell disordersHealth care systemDisease courseDiagnostic workupAdult leukemiaCell disordersMedical careDiagnostic testingDiagnostic testsBlood cellsCare systemCharacterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis
Melnick ER, Ong SY, Fong A, Socrates V, Ratwani RM, Nath B, Simonov M, Salgia A, Williams B, Marchalik D, Goldstein R, Sinsky CA. Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis. Journal Of The American Medical Informatics Association 2021, 28: 1383-1392. PMID: 33822970, PMCID: PMC8279798, DOI: 10.1093/jamia/ocab011.Peer-Reviewed Original ResearchConceptsElectronic health recordsEHR timeCross-sectional analysisAmbulatory physiciansPatient timeHealth systemClinical hoursHours of patientsMedStar Health systemYale-New HavenObstetrics/gynecologyNeurology/psychiatryMultivariable analysisPhysician genderCertain medical specialtiesPhysical medicineFemale physiciansEHR usePhysiciansHealth recordsHealthcare systemMedical specialtiesHoursSpecialtiesGender
2020
Inpatient Telehealth Tools to Enhance Communication and Decrease Personal Protective Equipment Consumption during Disaster Situations: A Case Study during the COVID-19 Pandemic
Ong SY, Stump L, Zawalich M, Edwards L, Stanton G, Matthews M, Hsiao AL. Inpatient Telehealth Tools to Enhance Communication and Decrease Personal Protective Equipment Consumption during Disaster Situations: A Case Study during the COVID-19 Pandemic. Applied Clinical Informatics 2020, 11: 733-741. PMID: 33147644, PMCID: PMC7641665, DOI: 10.1055/s-0040-1719180.Peer-Reviewed Original ResearchConceptsUse casesSecurity/privacyHealth care systemPatient care capabilitiesConsumer devicesHealth systemInnovative technology solutionsTechnology solutionsPersonal protective equipment useCare systemLarge health care systemLarge-scale setupsHealth care workersDisaster situationsProtective equipment useHealth care staffUse of PPEDevice usageDevice availabilityPhysical setupInpatient careLarge volumesAmbulatory settingTelehealth toolsCare workersEstimating Aspirin Overuse for Primary Prevention of Atherosclerotic Cardiovascular Disease (from a Nationwide Healthcare System)
Ong SY, Chui P, Bhargava A, Justice A, Hauser RG. Estimating Aspirin Overuse for Primary Prevention of Atherosclerotic Cardiovascular Disease (from a Nationwide Healthcare System). The American Journal Of Cardiology 2020, 137: 25-30. PMID: 32991852, DOI: 10.1016/j.amjcard.2020.09.042.Peer-Reviewed Original ResearchConceptsLow-dose aspirinElectronic health recordsSelf-reported useEHR dataPatients' self-reported useLow-dose aspirin useAtherosclerotic cardiovascular diseaseAmerican Heart AssociationEHR recordsNon-specific terminologyAspirin usePrimary preventionHeart AssociationCardiovascular diseaseAmerican CollegeAspirinPatientsHealth recordsEHR implementationEHR searchesImplementable guidelinesGuidelinesRecordsDiseaseCardiologyProspective Study of Use of Edmonton Symptom Assessment Scale Versus Routine Symptom Management During Weekly Radiation Treatment Visits.
Goyal UD, Riegert K, Davuluri R, Ong S, Yi SK, Dougherty ST, Hsu CC. Prospective Study of Use of Edmonton Symptom Assessment Scale Versus Routine Symptom Management During Weekly Radiation Treatment Visits. JCO Oncology Practice 2020, 16: e1029-e1035. PMID: 32384015, DOI: 10.1200/jop.19.00465.Peer-Reviewed Original ResearchConceptsEdmonton Symptom Assessment ScaleImproved symptom severitySymptom managementSymptom severityPostintervention groupTreatment visitsInstitutional quality improvement projectSeverity of painLoss of appetiteSymptom Assessment ScaleMultivariate logistic regressionQuality improvement projectPreintervention groupPain medicationPatient's symptomsCommon symptomsProspective studyAppetite stimulantIndependent associationProvider assessmentPhysician reviewMost physiciansTherapeutic interventionsAssessment ScaleLogistic regressionCOVID-19 Guidelines Changing Faster than the Virus: Implications of a Clinical Decision Support App
Saperstein Y, Ong S, Al-Bermani T, Park J, Saperstein Y, Olayinka J, Jaiman A, Winer A, Salifu M, McFarlane S. COVID-19 Guidelines Changing Faster than the Virus: Implications of a Clinical Decision Support App. International Journal Of Clinical Research & Trials 2020, 5: 148. DOI: 10.15344/2456-8007/2020/148.Peer-Reviewed Original Research
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