Andrew Loza, MD, PhD
Instructor of Biomedical Informatics and Data ScienceCards
Contact Info
About
Titles
Instructor of Biomedical Informatics and Data Science
Biography
Andrew Loza is a physician-scientist whose research focuses on predictive analytics and population health. He received his PhD from Washington University in St. Louis in biophysics studying mechanisms of collective cell migration using time lapse microscopy, computer vision, and simulation. He completed his MD degree at the Yale University School of Medicine and residency in Internal Medicine – Pediatrics also at Yale. After residency, he completed a Clinical Informatics fellowship in the ACGME Yale/VA program and a postdoctoral fellowship in the VA Biomedical Informatics program. He is an Instructor in the Department of Biomedical Informatics and Data Science and Department of Pediatrics.
The Loza Lab focuses on development of statistical and deep learning methods to leverage Real-World Data to improve clinical care with a focus on multimodal medical foundation models.
Appointments
- Biomedical Informatics & Data ScienceInstructorFully Joint
Other Departments & Organizations
Education & Training
- MD
- Yale School of Medicine
- PhD
- Washington University in St. Louis (2016)
Board Certifications
- Pediatrics- Certification Organization
- AB of Pediatrics
 - Original Certification Date
- 2022
 
- Internal Medicine- Certification Organization
- AB of Internal Medicine
 - Original Certification Date
- 2022
 
Research
Research at a Glance
Yale Co-Authors
Publications Timeline
- Benjamin Doolittle, MD, MA Div
- Ted Melnick, MD, MHS
- Hyung Paek, MD, MSEE
- Mark Iscoe, MD, MHS
- Andrew Taylor, MD, MHS
- Ronald George Hauser III, MD
Publications
2025
- Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review.Kanaparthy NS, Villuendas-Rey Y, Bakare T, Diao Z, Iscoe M, Loza A, Wright D, Safranek C, Faustino IV, Brackett A, Melnick ER, Taylor RA. Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review. JMIR AI 2025, 4: e76743. PMID: 41071988, DOI: 10.2196/76743.Peer-Reviewed Original Research
2024
- Using Panel Management to Identify Adult Patients With High-Risk Metabolic Dysfunction–Associated Steatotic Liver Disease/Metabolic Dysfunction–Associated Steatohepatitis Fibrosis in a Primary Care Clinic: A Pilot StudyHouseholder S, Loza A, Gupta V, Doolittle B. Using Panel Management to Identify Adult Patients With High-Risk Metabolic Dysfunction–Associated Steatotic Liver Disease/Metabolic Dysfunction–Associated Steatohepatitis Fibrosis in a Primary Care Clinic: A Pilot Study. The Permanente Journal 2024, 28: 38-47. PMID: 39444281, PMCID: PMC11648331, DOI: 10.7812/tpp/24.094.Peer-Reviewed Original ResearchConceptsPrimary care clinicsYears of ageCare clinicsPanel managementShear wave elastographyFIB-4 scoreElectronic health recordsDetection of patientsClinically relevant morbidityFollow-up appointmentsWave elastographyPrimary careRelevant morbidityFIB-4Advanced fibrosisFibrosis-4Adult patientsHealth recordsSubspecialty careMedical complexityExperience complicationsPatient acceptanceTargeted interventionsWork-upClinical care
2023
- Crawling toward obsolescence: The extended lifespan of amylase for pancreatitisKanaparthy N, Loza A, Hauser R. Crawling toward obsolescence: The extended lifespan of amylase for pancreatitis. PLOS ONE 2023, 18: e0296180. PMID: 38127992, PMCID: PMC10734915, DOI: 10.1371/journal.pone.0296180.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
- Adoption of Emergency Department–Initiated Buprenorphine for Patients With Opioid Use DisorderGao E, Melnick E, Paek H, Nath B, Taylor R, Loza A. Adoption of Emergency Department–Initiated Buprenorphine for Patients With Opioid Use Disorder. JAMA Network Open 2023, 6: e2342786. PMID: 37948075, PMCID: PMC10638655, DOI: 10.1001/jamanetworkopen.2023.42786.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsHealth care systemED initiationOpioid use disorderBuprenorphine initiationCare systemUse disordersEmergency department-initiated buprenorphineSecondary analysisClinician's roleEmergency department initiationClinical decision support interventionClinical decision support toolProportional hazard modelingCare of patientsNetwork of cliniciansDecision support interventionsAdvanced practice practitionersDose-dependent mannerUnique cliniciansTime-dependent covariatesTrial interventionNonintervention groupED clustersMore effective interventionsNumber of exposures
- PROSER: A Web-Based Peripheral Blood Smear Interpretation Support Tool Utilizing Electronic Health Record DataIscoe M, Loza A, Turbiville D, Campbell S, Peaper D, Balbuena-Merle R, Hauser R. PROSER: A Web-Based Peripheral Blood Smear Interpretation Support Tool Utilizing Electronic Health Record Data. American Journal Of Clinical Pathology 2023, 160: 98-105. PMID: 37026746, DOI: 10.1093/ajcp/aqad024.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsQuality improvement studyElectronic health recordsLaboratory valuesWeb-based clinical decision support toolClinical decision support toolElectronic health record dataHealth record dataImprovement studyResident trainingBlood smear interpretationClinical outcomesMorphologic findingsAcademic hospitalCorresponding reference rangesMedication informationReference rangeMicroscopy findingsCDS toolsIntervention effectsPathology practiceSmear interpretationHealth recordsRecord dataPathologistsPatients
- Predicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practiceLopez 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 demandMachineValidatingPatients
2022
- Rates of Body Mass Index Increase in Children During the COVID-19 PandemicLoza AJ, Child I, Doolittle BR. Rates of Body Mass Index Increase in Children During the COVID-19 Pandemic. Childhood Obesity 2022, 19: 353-356. PMID: 35904946, DOI: 10.1089/chi.2022.0047.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsClinic visitsWeight gainRetrospective longitudinal cohort studyBody mass index increaseRegular clinic visitsSignificant public health concernPrimary care clinicsHigh-risk subgroupsLongitudinal cohort studyYears of ageCOVID-19 pandemicPublic health concernPublic health officialsCohort studyCare clinicsPediatric obesityObesity statusRisk factorsPrepandemic periodHigher baselineAge groupsBMIHealth concernStudy periodHealth officials
- Collateral Damage from the COVID-19 Pandemic: Pediatric ObesityChild I, Loza A, Doolittle B. Collateral Damage from the COVID-19 Pandemic: Pediatric Obesity. Population Health Management 2022, 25: 573-574. PMID: 35363090, DOI: 10.1089/pop.2022.0030.Peer-Reviewed Original ResearchCitationsAltmetric
2021
- Heart rate variability in patients with tetralogy of FallotLuna A, Church S, Loza A, Rueda-Ochoa O, Coy M, Marin C, Beach C. Heart rate variability in patients with tetralogy of Fallot. European Heart Journal 2021, 42: ehab724.1586. DOI: 10.1093/eurheartj/ehab724.1586.Peer-Reviewed Original ResearchConceptsTetralogy of FallotHeart rate variabilityLogistic regression analysisClinical outcomesHealthy controlsHRV parametersHeart rate valuesHeart rateRepair of TOFCardiac autonomic nervous system activityMaximum heart rate valuesRate variabilityAutonomic nervous system activityBody mass indexDifferent clinical outcomesDevelopment of arrhythmiasCongenital heart diseaseNervous system activityMaximum heart rateRegression analysisAverage heart rateApplication of HRVHolter monitoringMass indexBackground Heart rate variability
- The Effect of COVID-19 Pandemic Restrictions on Lead Screening in a Primary Care ClinicLoza AJ, Doolittle BR. The Effect of COVID-19 Pandemic Restrictions on Lead Screening in a Primary Care Clinic. Journal Of Pediatric Health Care 2021, 36: 64-70. PMID: 34120794, PMCID: PMC8139238, DOI: 10.1016/j.pedhc.2021.03.004.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPrimary care practicesCare practicesCOVID-19 restrictionsLead screening ratesPrimary care clinicsWell-child careCoronavirus disease 2019Quality improvement initiativesElectronic medical recordsPatient safety concernsCare clinicsRoutine careScreening ratesCOVID-19 pandemic restrictionsMedical recordsLead screeningPeak restrictionsDisease 2019Outpatient pediatricsLead exposureRisk populationsLead levelsImprovement initiativesCareLead toxicity
News
News
- July 01, 2025Graduate Spotlight: Huan Li's Journey Through Yale's CBB PhD Program
- May 29, 2025Andrew Loza Receives 2024 Hartwell Foundation Award to Advance Pediatric Predictive Modeling
- February 26, 2025New BIDS Faculty Spotlight: Andrew Loza
- January 24, 2025Welcome New Faculty, Fellows & Staff to Yale BIDS