Huan Li, MSHI
DownloadHi-Res Photo
About
Biography
Huan is a CB&B Ph.D. student. Her research interests are within but are not limited to Electronic Health Records (EHR) study, Physician Productivity, Health Informatics, Clinical Decision Support (CDS), and Machine Learning.
Education & Training
- PhD
- Yale University, Computational Biology and Bioinformatics (CBB) (2025)
- MSHI
- Yale School of Public Health, Health Informatics (2021)
- BSc
- Rensselaer Polytechnic Institute, Mathematics and Business management (2019)
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Huan Li's published research.
Publications Timeline
A big-picture view of Huan Li's research output by year.
Bidisha Nath, MBBS, MPH
Ted Melnick, MD, MHS
Hyung Paek, MD, MSEE
Andrew Loza, MD, PhD
Carolyn L. Rochester, MD, FCCP
F. Perry Wilson, MD, MSCE
4Publications
14Citations
Publications
2023
Quantifying EHR and Policy Factors Associated with the Gender Productivity Gap in Ambulatory, General Internal Medicine
Li H, Rotenstein L, Jeffery M, Paek H, Nath B, Williams B, McLean R, Goldstein R, Nuckols T, Hoq L, Melnick E. Quantifying EHR and Policy Factors Associated with the Gender Productivity Gap in Ambulatory, General Internal Medicine. Journal Of General Internal Medicine 2023, 39: 557-565. PMID: 37843702, PMCID: PMC10973284, DOI: 10.1007/s11606-023-08428-5.Peer-Reviewed Original ResearchCitationsAltmetricConceptsElectronic health recordsWork relative value unitsPhysician genderPractice characteristicsWomen physiciansMen physiciansGeneral internal medicine physiciansEHR useInternal medicine physiciansPhysician productivityGeneral internal medicineMultivariable adjustmentPatient counselingCare discussionsPhysician ageClinical activityMedicine physiciansPredicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practice
Lopez K, Li H, Paek H, Williams B, Nath B, Melnick E, Loza A. Predicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practice. PLOS ONE 2023, 18: e0280251. PMID: 36724149, PMCID: PMC9891518, DOI: 10.1371/journal.pone.0280251.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsElectronic health recordsEHR use patternsHealthcare industryPhysician departureSHAP valuesHealth recordsPhysician characteristicsLongitudinal cohortPhysician ageRisk physiciansAmbulatory practiceTargeted interventionsAppropriate interventionsPhysiciansTop variablesDocumentation timePhysician turnoverPredictive modelHeavy burdenInterventionInboxPhysician demandMachineValidatingPatientsDeep learning prediction of hospital readmissions for asthma and COPD
Lopez K, Li H, Lipkin-Moore Z, Kay S, Rajeevan H, Davis J, Wilson F, Rochester C, Gomez J. Deep learning prediction of hospital readmissions for asthma and COPD. Respiratory Research 2023, 24: 311. PMID: 38093373, PMCID: PMC10720134, DOI: 10.1186/s12931-023-02628-7.Peer-Reviewed Original ResearchCitationsAltmetric
2021
Emergency care and the patient experience: Using sentiment analysis and topic modeling to understand the impact of the COVID-19 pandemic
Chekijian S, Li H, Fodeh S. Emergency care and the patient experience: Using sentiment analysis and topic modeling to understand the impact of the COVID-19 pandemic. Health And Technology 2021, 11: 1073-1082. PMID: 34414063, PMCID: PMC8363088, DOI: 10.1007/s12553-021-00585-z.Peer-Reviewed Original ResearchCitationsAltmetric
Academic Achievements and Community Involvement
activity President
Professional OrganizationsYale Graduate Consulting ClubDetails2024 - Presentactivity Vice President
Professional OrganizationsYale Graduate Consulting ClubDetails12/28/2022 - 01/01/2024DescriptionPro Bono Projecthonor Gruber Science Fellowship
Yale University AwardThe Gruber FoundationDetails09/01/2021United States
Links & Media
Get In Touch
Locations
100 College Street
Academic Office
Fl 9
New Haven, CT 06510