Samah Fodeh, PhD
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
Education & Training
- PhD
- Michigan State University (2010)
Research
Overview
Medical Research Interests
Public Health Interests
- View Lab Website
Data Mining Lab
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Harini Bathulapalli
Amy Justice, MD, PhD
Joseph Lucien Goulet, PhD, MS
Robert Kerns, PhD
Evelyn Hsieh, MD, PhD
Ling Han, MD, PhD, MS
Machine Learning
Natural Language Processing
Data Mining
Publications
2023
Assessing 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 ResearchMeSH 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 codes
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 ResearchMeSH 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 ResearchMeSH 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 ResearchMeSH 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 reportsHIVMeasuring pain care quality in the Veterans Health Administration primary care setting
Luther SL, Finch DK, Bouayad L, McCart J, Han L, Dobscha SK, Skanderson M, Fodeh SJ, Hahm B, Lee A, Goulet JL, Brandt CA, Kerns RD. Measuring pain care quality in the Veterans Health Administration primary care setting. Pain 2021, 163: e715-e724. PMID: 34724683, PMCID: PMC8920945, DOI: 10.1097/j.pain.0000000000002477.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsPain care qualityPattern of documentationSevere pain intensityFrequency of documentationPresence of painSite of painPrimary care providersPrimary care settingCare quality indicatorsQuality improvement initiativesTotal PCQ scoresPatient characteristicsPain intensityPain carePain impactPCQ scoresCare settingsCare providersMusculoskeletal disordersFurther evaluationPainCare qualityHealthcare facilitiesImprovement initiativesUnique visitsEmergency 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 ResearchTwitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities
Su Y, Venkat A, Yadav Y, Puglisi LB, Fodeh SJ. Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities. Computers In Biology And Medicine 2021, 132: 104336. PMID: 33761419, PMCID: PMC9159205, DOI: 10.1016/j.compbiomed.2021.104336.Peer-Reviewed Original ResearchMeSH Keywords and Concepts
2020
Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter
Fodeh SJ, Al-Garadi M, Elsankary O, Perrone J, Becker W, Sarker A. Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter. Computers In Biology And Medicine 2020, 129: 104132. PMID: 33290931, PMCID: PMC7855783, DOI: 10.1016/j.compbiomed.2020.104132.Peer-Reviewed Original ResearchIdentification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data
Sangal RB, Fodeh S, Taylor A, Rothenberg C, Finn EB, Sheth K, Matouk C, Ulrich A, Parwani V, Sather J, Venkatesh A. Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data. Journal Of Stroke And Cerebrovascular Diseases 2020, 29: 105306. PMID: 33070110, PMCID: PMC7686163, DOI: 10.1016/j.jstrokecerebrovasdis.2020.105306.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsDefining facets of social distancing during the COVID-19 pandemic: Twitter analysis
Kwon J, Grady C, Feliciano JT, Fodeh SJ. Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis. Journal Of Biomedical Informatics 2020, 111: 103601. PMID: 33065264, PMCID: PMC7553881, DOI: 10.1016/j.jbi.2020.103601.Peer-Reviewed Original ResearchMeSH Keywords
Academic Achievements & Community Involvement
Activities
activity Utilizing Machine Learning for Patient Phenotyping
12/01/2010 - 03/02/2021ResearchDetailsWest Haven, CT, United States
News & Links
Media
News
- 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