Andrew Loza, MD, PhD
Instructor of Biomedical Informatics and Data ScienceDownloadHi-Res Photo
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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 coupled with computer vision methods and simulation. He completed his MD degree at the Yale University School of Medicine and residency in Internal Medicine – Pediatrics also at Yale. During this time he contributed to development of a COVID-19 census prediction model and conducted research on the effect of COVID-19 on routine pediatric outpatient care. He is currently a Clinical Informatics fellow in the ACGME Yale/VA program led by Dr. Edward Melnick with clinical work at the Yale Internal Medicine – Pediatrics Clinic.
Appointments
Biomedical Informatics & Data Science
InstructorFully Joint
Other Departments & Organizations
- Biomedical Informatics & Data Science
- Janeway Society
- Melnick Informatics Lab
- Yale Medicine
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
Frequent collaborators of Andrew Loza's published research.
Publications Timeline
A big-picture view of Andrew Loza's research output by year.
Benjamin Doolittle, MD, MA Div
Bidisha Nath, MBBS, MPH
Ted Melnick, MD, MHS
Hyung Paek, MD, MSEE
Ronald George Hauser III, MD
Cheyenne Beach, MD
25Publications
24Citations
Publications
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 Study
Householder 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 pancreatitis
Kanaparthy 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 ConceptsAdoption of Emergency Department–Initiated Buprenorphine for Patients With Opioid Use Disorder
Gao 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 exposuresPROSER: A Web-Based Peripheral Blood Smear Interpretation Support Tool Utilizing Electronic Health Record Data
Iscoe 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 dataPathologistsPatientsPredicting 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 demandMachineValidatingPatients
2022
Rates of Body Mass Index Increase in Children During the COVID-19 Pandemic
Loza 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 officialsCollateral Damage from the COVID-19 Pandemic: Pediatric Obesity
Child 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 Fallot
Luna 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 variabilityThe Effect of COVID-19 Pandemic Restrictions on Lead Screening in a Primary Care Clinic
Loza 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 toxicityThe second pandemic: a call to action
Doolittle BR, Loza A. The second pandemic: a call to action. Pediatric Research 2021, 91: 2-3. PMID: 33731813, PMCID: PMC7968407, DOI: 10.1038/s41390-021-01461-2.Peer-Reviewed Original Research
News
News
- February 26, 2025
New BIDS Faculty Spotlight: Andrew Loza
- January 24, 2025
Welcome New Faculty, Fellows & Staff to Yale BIDS
- December 13, 2024Source: NeurIPS
Yale and Mila Researchers Present Their Poster at NeurIPS 2024 Annual Conference
- November 10, 2023Source: YaleNews
Physicians Prescribing Opioid Use Treatment Influence Others to Follow Suit
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