Samah Fodeh-Jarad, PhD, MSc
Associate Professor of Emergency Medicine & Biostatistics (Health Informatics)Cards
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Associate Professor of Emergency Medicine & Biostatistics (Health Informatics)
Biography
Samah Fodeh-Jarad, PhD, is an Associate Professor in the Department of Emergency Medicine, with a secondary appointment at the Yale School of Public Health, and is affiliated with the VA Connecticut Healthcare System. Dr. Fodeh’s research centers on patient-focused care, emphasizing the improvement of communication between patients and healthcare providers and examining how social and environmental factors shape health outcomes. A major part of her work involves harnessing artificial intelligence to strengthen patient care, using machine learning and natural language processing to analyze patient-generated data and clinical records. She applies large language models to reveal insights into social barriers, patient-provider communication dynamics, and the broader context of patient experiences. Her research also explores methods for detecting patients’ goals, values, and preferences in healthcare, ensuring that care delivery aligns more closely with what matters most to individuals. Through these innovations, Dr. Fodeh strives to make healthcare more responsive, respectful, and tailored to individual needs, leading to better health outcomes and more consistent quality of care. Her research further utilizes advanced AI techniques to integrate and analyze multiple data modalities, uncovering actionable findings that enhance clinical decision-making and tackle complex patient-centered challenges. Additionally, she focuses on mining health and social media data to address critical public health concerns, including suicide risk and opioid addiction. Dr. Fodeh’s work is at the forefront of transforming healthcare through the integration of AI, making it more personalized, responsive, and centered on the needs and experiences of patients.
Appointments
Emergency Medicine
Associate Professor on TermPrimaryBiomedical Informatics & Data Science
Associate Professor on TermSecondaryBiostatistics
Associate Professor on TermSecondary
Other Departments & Organizations
- All Institutions
- Biomedical Informatics & Data Science
- Biostatistics
- Computational Biology and Biomedical Informatics
- Emergency Medicine
- Fodeh Lab
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Institute for Global Health
- Yale School of Public Health
- Yale-BI Biomedical Data Science Fellowship
Education & Training
- PhD
- Michigan State University (2010)
- MSc
- Michigan State University, Computer Science (2006)
Research
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Overview
Medical Research Interests
Public Health Interests
ORCID
0000-0003-4664-3143Data Mining Lab
The Yale Data Mining Lab develops innovative AI methods to extract insights from complex health and biomedical data focusing on large language models.
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Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Harini Bathulapalli
Amy Justice, MD, PhD
Cynthia Brandt, MD, MPH
Joseph Lucien Goulet, PhD, MS
Robert Kerns, PhD
Evelyn Hsieh, MD, PhD
Machine Learning
Data Mining
Natural Language Processing
Medical Informatics
Publications
2024
BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans
Fodeh S, Wang R, Murphy T, Kidwai-Khan F, Leo-Summers L, Tessier-Sherman B, Hsieh E, Womack J. BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans. Health Informatics Journal 2024, 30: 14604582241295930. PMID: 39526751, PMCID: PMC11872221, DOI: 10.1177/14604582241295930.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsT-score valuesT-scoreNLP algorithmsDXA scansFemoral neck T-scoreNatural language processing algorithmsBone mineral density dataLanguage processing algorithmsBone mineral densityExtract annotationsRegular expressionsTest dataProcessing algorithmsDXA reportsMineral densityAlgorithmMultivariate linear regressionClinical face validityRisk factorsPresence of informationDXANLPClinical validationClinical expertsAccuracyA roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness
Kidwai-Khan F, Wang R, Skanderson M, Brandt C, Fodeh S, Womack J. A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness. Journal Of Biomedical Informatics 2024, 154: 104654. PMID: 38740316, PMCID: PMC11144439, DOI: 10.1016/j.jbi.2024.104654.Peer-Reviewed Original ResearchCitationsAltmetricConceptsArtificial intelligenceMachine learningNatural language processing techniquesRaw dataLife cycle of dataLanguage processing techniquesInput dataApplication of artificial intelligenceArtificial intelligence processesMachine learning algorithmsTransform raw dataNatural language processing algorithmsArtificial intelligence methodsApplication of AILanguage processing algorithmsLearning algorithmsIntelligent processingError rateIntelligence methodsData governanceProcessing algorithmsData expertiseAlgorithmic biasElectronic health record dataData frameworksSpatiotemporal trends in COVID-19 vaccine sentiments on a social media platform and correlations with reported vaccine coverage
Zhou X, Zhang X, Larson H, de Figueiredo A, Jit M, Fodeh S, Vermund S, Zang S, Lin L, Hou Z. Spatiotemporal trends in COVID-19 vaccine sentiments on a social media platform and correlations with reported vaccine coverage. Bulletin Of The World Health Organization 2024, 102: 32-45. PMID: 38164328, PMCID: PMC10753281, DOI: 10.2471/blt.23.289682.Peer-Reviewed Original ResearchCitationsAltmetric
2023
Deploying a national clinical text processing infrastructure
McManus K, Stringer J, Corson N, Fodeh S, Steinhardt S, Levin F, Shotqara A, D’Auria J, Fielstein E, Gobbel G, Scott J, Trafton J, Taddei T, Erdos J, Tamang S. Deploying a national clinical text processing infrastructure. Journal Of The American Medical Informatics Association 2023, 31: 727-731. PMID: 38146986, PMCID: PMC10873837, DOI: 10.1093/jamia/ocad249.Peer-Reviewed Original ResearchCitationsAltmetricComplementary and Integrative Health Approaches and Pain Care Quality in the Veterans Health Administration Primary Care Setting: A Quasi-Experimental Analysis
Han L, Luther S, Finch D, Dobscha S, Skanderson M, Bathulapalli H, Fodeh S, Hahm B, Bouayad L, Lee A, Goulet J, Brandt C, Kerns R. Complementary and Integrative Health Approaches and Pain Care Quality in the Veterans Health Administration Primary Care Setting: A Quasi-Experimental Analysis. Journal Of Alternative And Complementary Medicine 2023, 29: 420-429. PMID: 36971840, PMCID: PMC10280173, DOI: 10.1089/jicm.2022.0686.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPain care qualityPrimary care settingCIH exposureIntegrative health approachesCare settingsPropensity scorePain managementCIH approachesPCQ scoresPrimary care clinic visitsHealth approachCare qualityInternational clinical guidelinesChronic pain managementPrimary care capacityDeclaration of AstanaVHA initiativesClinic visitsMusculoskeletal painBenefits patientsMassage therapyClinical guidelinesExposure groupCare capacityMusculoskeletal disordersAssessing the contributions of modifiable risk factors to serious falls and fragility fractures among older persons living with HIV
Womack J, Murphy T, Leo‐Summers L, Bates J, Jarad S, Gill T, Hsieh E, Rodriguez‐Barradas M, Tien P, Yin M, Brandt C, Justice A. Assessing the contributions of modifiable risk factors to serious falls and fragility fractures among older persons living with HIV. Journal Of The American Geriatrics Society 2023, 71: 1891-1901. PMID: 36912153, PMCID: PMC10258163, DOI: 10.1111/jgs.18304.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsModifiable risk factorsFragility fracturesRisk factorsAlcohol use disorderSerious fallsPhysiologic frailtyAntiretroviral therapyOlder PWHUse disordersVeterans Aging Cohort StudyMeasures of multimorbidityAging Cohort StudyBody mass indexMultivariable logistic modelAverage attributable fractionSuccessful prevention programsKey risk factorsOpioid prescriptionsCohort studyMass indexModifiable factorsSixth decadeAttributable fractionElevated riskICD9 codesUnderstanding headache classification coding within the veterans health administration using ICD-9-CM and ICD-10-CM in fiscal years 2014–2017
Fodeh S, Fenton B, Wang R, Skanderson M, Altalib H, Kuruvilla D, Schindler E, Haskell S, Brandt C, Sico J. Understanding headache classification coding within the veterans health administration using ICD-9-CM and ICD-10-CM in fiscal years 2014–2017. PLOS ONE 2023, 18: e0279163. PMID: 36598881, PMCID: PMC9812322, DOI: 10.1371/journal.pone.0279163.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsVeterans Health AdministrationHeadache diagnosisICD-10-CMICD-10-CM diagnosisICD-10-CM codingSpecialty care clinicsSpecific headache diagnosesICD-9-CM codingDifferent headache typesICD-9-CMRace/ethnicityHeadache comorbidityHeadache NOSPatient ageCare clinicsChronic conditionsHeadache typesProvider typeSociodemographic factorsHealth AdministrationDiagnosisTwo yearsHeadachePatientsMigraine
2022
Predictive Risk Model for Serious Falls Among Older Persons Living With HIV
Womack JA, Murphy TE, Leo-Summers L, Bates J, Jarad S, Smith AC, Gill TM, Hsieh E, Rodriguez-Barradas MC, Tien PC, Yin MT, Brandt CA, Justice AC. Predictive Risk Model for Serious Falls Among Older Persons Living With HIV. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2022, 91: 168-174. PMID: 36094483, PMCID: PMC9470988, DOI: 10.1097/qai.0000000000003030.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsMiddle-aged veteransOlder PWHAntiretroviral therapySerious fallsOlder personsVeterans Aging Cohort StudyMeasures of multimorbidityAging Cohort StudyBody mass indexMultivariable logistic regressionPredictive risk modelCohort studyMass indexInjury codesElevated riskGeneral populationSix monthsPWHLogistic regressionPotential predictorsSubstance useRadiology reportsHIVExternal causesVeteransMental Health Diagnoses are Not Associated With Indicators of Lower Quality Pain Care in Electronic Health Records of a National Sample of Veterans Treated in Veterans Health Administration Primary Care Settings
Dobscha SK, Luther SL, Kerns RD, Finch DK, Goulet JL, Brandt CA, Skanderson M, Bathulapalli H, Fodeh SJ, Hahm B, Bouayad L, Lee A, Han L. Mental Health Diagnoses are Not Associated With Indicators of Lower Quality Pain Care in Electronic Health Records of a National Sample of Veterans Treated in Veterans Health Administration Primary Care Settings. Journal Of Pain 2022, 24: 273-281. PMID: 36167230, PMCID: PMC9898089, DOI: 10.1016/j.jpain.2022.08.009.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPain care qualityQuality pain careMental health conditionsPrimary care cliniciansVeterans Health AdministrationPain carePCQ scoresHealth conditionsCare cliniciansUse disordersCare qualitySevere musculoskeletal painRetrospective cohort studyPrimary care visitsGeneral medical carePrimary care settingElectronic health record dataFinal adjusted modelMental health diagnosesEquation Poisson modelsHealth record dataBipolar disorder diagnosisSubstance use disordersAlcohol use disorderPost-traumatic stress disorder
2021
Brief Report: Are Serious Falls Associated With Subsequent Fragility Fractures Among Veterans Living With HIV?
Womack JA, Murphy TE, Ramsey C, Bathulapalli H, Leo-Summers L, Smith AC, Bates J, Jarad S, Gill TM, Hsieh E, Rodriguez-Barradas MC, Tien PC, Yin MT, Brandt C, Justice AC. Brief Report: Are Serious Falls Associated With Subsequent Fragility Fractures Among Veterans Living With HIV? JAIDS Journal Of Acquired Immune Deficiency Syndromes 2021, 88: 192-196. PMID: 34506360, PMCID: PMC8513792, DOI: 10.1097/qai.0000000000002752.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsSubsequent fragility fracturesFragility fracturesAntiretroviral therapySerious fallsRisk factorsVeterans Aging Cohort StudyAging Cohort StudyMultivariable logistic regressionUpper arm fracturesMiddle-aged populationYears of ageAlcohol use disorderCohort studyHip fractureVertebral fracturesArm fracturesInjury codesICD9 codesGeneral populationUse disordersLogistic regressionIntegrase inhibitorsOlder adultsRadiology reportsHIV
Academic Achievements & Community Involvement
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activity Utilizing Machine Learning for Patient Phenotyping
12/01/2010 - 03/02/2021ResearchDetailsWest Haven, CT, United States
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News
- February 26, 2026
Yale Emergency Medicine #2 in NIH Funding with 14 Faculty Ranked Nationally
- March 11, 2025
Yale Emergency Medicine Extends Its Legacy as a National Leader
- September 13, 2022
Yale Researchers Join NIH Bridge2AI Program
- September 02, 2021
New Award To Study Risk Model For Fractures in Persons With HIV
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