Jing Zhang, MBA, MPhil, MS
Data Scientist, Emergency MedicineDownloadHi-Res Photo
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Data Scientist, Emergency Medicine
Biography
Jing Zhang is a data scientist at Department of Emergency Medicine, Yale School of Medicine. He has been in IT profession at Yale since 2000. Jing also has healthcare data experiences more than a decade. With a strong science and research background, Jing has keen interests in data and data analysis. He is also strong in database design, system analysis, project management, and other general IT tasks. Jing holds MBA degree from Umass Lowell, M.Phil. and M.S. degrees in Astronomy from Yale University, and B.S. degree in Physics from Jilin University, China.
Last Updated on October 26, 2025.
Departments & Organizations
Education & Training
- MBA
- University of Massachusetts, Lowell, Banning Business School (2014)
- MPhil
- Yale University, Astronomy (1998)
- MS
- Yale University, Astronomy (1996)
Research
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Research at a Glance
Yale Co-Authors
Frequent collaborators of Jing Zhang's published research.
Harlan Krumholz, MD, SM
Lisa Gale Suter, MD
Shu-Xia Li, PhD
Yongfei Wang, MS
Andreas Coppi
Publications
Featured Publications
Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure
Kyanko K, Sahay K, Wang Y, Li S, Schreiber M, Hager M, Myers R, Johnson W, Zhang J, Krumholz H, Suter L, Triche E. Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure. JAMA Network Open 2024, 7: e2414431. PMID: 38829614, PMCID: PMC11148674, DOI: 10.1001/jamanetworkopen.2024.14431.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsCenters for Medicare & Medicaid ServicesSpecialty subgroupsPerformance quintileMedicare AdvantageReadmission ratesRisk-standardized readmission ratesHospital-wide readmission measureHospital outcome measuresTest-retest reliabilityRisk-adjustment variablesMeasurement reliabilityAdministrative claims dataReadmission measuresImprove measurement reliabilityIntegrated Data RepositoryMA beneficiariesQuintile rankingsMedicare beneficiariesMedicaid ServicesAll-CausePublic reportingStudy assessed differencesClaims dataOutcome measuresMA cohortPrediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures
Mortazavi B, Desai N, Zhang J, Coppi A, Warner F, Krumholz H, Negahban S. Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures. IEEE Journal Of Biomedical And Health Informatics 2017, 21: 1719-1729. PMID: 28287993, DOI: 10.1109/jbhi.2017.2675340.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMajor cardiovascular proceduresElectronic health recordsRespiratory failureAdverse eventsCardiovascular proceduresYale-New Haven HospitalPostoperative respiratory failurePatient cohortHospital costsPatient outcomesSpecific patientPatientsHealth recordsCohort-specific modelsCharacteristic curveInfectionFailureHospitalCohortClinicians
2024
Processing and validation of inpatient Medicare Advantage data for use in hospital outcome measures
Kyanko K, Sahay K, Wang Y, Schreiber M, Hager M, Myers R, Johnson W, Zhang J, Yen B, Suter L, Triche E, Li S. Processing and validation of inpatient Medicare Advantage data for use in hospital outcome measures. Health Services Research 2024, 59: e14350. PMID: 38961668, PMCID: PMC11622257, DOI: 10.1111/1475-6773.14350.Peer-Reviewed Original ResearchCitationsAltmetricConceptsCenters for Medicare & Medicaid ServicesMedicare Advantage OrganizationsHospital outcome measuresPrincipal diagnosis codeOutcome measuresInpatient claimsDiagnosis codesMedicare AdvantageNational Provider IdentifierMedicare Advantage dataAcute careIntegrated Data RepositoryProvider IdentifierMedicaid ServicesMedicare dischargesMA claimsDuplicate claimsMA dataDemographic characteristicsCertificate numberMedicareHospitalEnrollment dataCompare diagnosesAdmission
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