About
Titles
Associate Dean, Digital Strategy & Transformation, Office of the Dean, YSM; Professor in Biomedical Informatics & Data Sciences, YSM; Professor of Neurology, YSM; Senior Vice President & Chief Digital Health Officer, YNHHS
Biography
Dr. Lee H. Schwamm, MD is Associate Dean for Digital Strategy and Transformation for Yale School of Medicine, and Senior Vice President + Chief Digital Health Officer for Yale New Haven Health System. In this role, he is leading the development of a new digital health strategy for the school and the health system, and serves as an influential physician leader and an agent of change to catalyze the equitable adoption of virtual care and digital enablement throughout the enterprise.
Before joining Yale, Dr. Schwamm spent 3 decades of service at the Mass General Brigham Health System in academic and administrative leadership roles. He was the inaugural C. Miller Fisher Chair in Vascular Neurology, Executive Vice Chair of Neurology and Director of the Center for TeleHealth at Massachusetts General Hospital; Vice President for Digital Patient Experience and Virtual Care, and Chief Digital Advisor for the Mass General Brigham Health System, and a Professor of Neurology at Harvard Medical School. He oversaw all systemwide virtual care and telehealth activities including synchronous and synchronous virtual visits and consults, remote patient monitoring, virtual urgent care and online second opinions. During the first 6 months of COVID, he led adoption efforts for 10,000 clinicians to provide over 1.7 M virtual visits, and introduced a suite of innovative inpatient virtual solutions.
A graduate of both Harvard College and Harvard Medical School, he completed residency training in neurology, and fellowship training in stroke and neurocritical care, all at Massachusetts General Hospital where he subsequently joined the faculty in 1996. He has spent the past 2 decades in telehealth, as a pioneer in telestroke and a leading advocate and policy advisor for the American Heart Association. He is a an internationally recognized expert in stroke diagnosis, treatment and prevention and a Fellow of the American Heart Association, American Academy of Neurology and the American Neurological Association. His research has been funded by many organizations including the NIH, AHA, PCORI, AHRQ, HRSA, CDC, and others, and he is the author of >500 peer-reviewed articles and chaired many of the current practice guidelines for stroke and telehealth-enabled care delivery. Under his leadership, the AHA Get with the Guidelines–Stroke Registry has grown into the world’s largest stroke registry with over 8M patient encounters; it has changed stroke practice at hospitals across the US, and set a global standard for stroke care. He has received numerous awards for innovation, leadership, and advocacy in the field of stroke and digital health, and held many senior leadership positions within the AHA, including service on their National Board of Directors. He has served on multiple editorial boards, including the digital health section editor for Stroke, and the international advisory board for Lancet Digital Health.
Appointments
Office of the Dean, School of Medicine
Associate DeanDualBiomedical Informatics & Data Science
ProfessorSecondaryNeurology
ProfessorSecondary
Other Departments & Organizations
- Biomedical Informatics & Data Science
- Digital Technology Solutions Leadership
- Neurology
- Office of the Dean, School of Medicine
- Virtual Care Consensus
- Yale Medicine
Education & Training
- Fellowship
- Massachusetts General Hospital (1996)
- Residency
- Massachusetts General Hospital (1995)
- Internship
- Beth Israel Hospital (1992)
- MD
- Harvard Medical School, Medicine (1991)
- AB
- Harvard University, Philosophy (1985)
Research
Publications
2025
Tenecteplase versus standard care in patients with acute basilar artery occlusion: a multi-centre, prospective, randomised, open-label, blinded endpoint, phase 3, controlled trial
Xiong Y, Alemseged F, Cao Z, Schwamm L, Parsons M, Fisher M, Wu S, Campbell B, Wang Y. Tenecteplase versus standard care in patients with acute basilar artery occlusion: a multi-centre, prospective, randomised, open-label, blinded endpoint, phase 3, controlled trial. Stroke And Vascular Neurology 2025, svn-2025-004432. PMID: 41151803, DOI: 10.1136/svn-2025-004432.Peer-Reviewed Original ResearchBasilar artery occlusionModified Rankin ScaleAcute basilar artery occlusionModified Rankin scale 0Standard careEndovascular treatmentAcute ischaemic strokeOpen-labelIntravenous tenecteplaseBaseline modified Rankin scaleArtery occlusionIschaemic strokeSymptomatic intracranial haemorrhageModified Rankin Scale 5Return to baselineBlinded endpointNeurological improvementReperfusion therapyIntracranial haemorrhageMRS distributionPrimary outcomeRankin ScaleSecondary outcomesCareTenecteplaseDistributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data.
Pedroso A, Schwamm L, Khera R. Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data. Stroke 2025 PMID: 41122835, PMCID: PMC12616450, DOI: 10.1161/strokeaha.125.050447.Peer-Reviewed Original ResearchMultimodal sensor dataArtificial intelligence algorithmsSensor dataScalable monitoringIntelligence algorithmsWearable sensorsHome-based technologiesRemote monitoringScalable modelEffective risk factor managementStroke care continuumRisk factor managementStroke preventionLong-term disabilityCare continuumPoststroke rehabilitationStroke carePersonalized rehabilitationFactor managementHealth technologiesReal-time triageSmartwatchStroke managementStroke diagnosisSmartphoneAssociation of Component Strategies of the Target Stroke Phase 3 Nationwide Quality Improvement Program With Accelerated Door-to-Puncture and Door-In-Door-Out Times for Ischemic Stroke Endovascular Thrombectomy in the United States
Grory B, Asif K, Xu H, Alhanti B, Lusk J, Hasan D, Park S, Boehme A, Zachrison K, Goyal M, Southerland A, Jadhav A, Gutierrez S, Hassan A, Fargen K, Sheth K, Jauch E, Xian Y, Peterson E, Smith E, Messe S, Schwamm L, Panagos P, Wira C, Saver J, Fonarow G. Association of Component Strategies of the Target Stroke Phase 3 Nationwide Quality Improvement Program With Accelerated Door-to-Puncture and Door-In-Door-Out Times for Ischemic Stroke Endovascular Thrombectomy in the United States. Circulation Cardiovascular Quality And Outcomes 2025, 18: e012456. PMID: 41111412, PMCID: PMC12616356, DOI: 10.1161/circoutcomes.125.012456.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overEndovascular ProceduresFemaleHumansIschemic StrokeMaleMiddle AgedPatient TransferProcess Assessment, Health CareProgram EvaluationQuality ImprovementQuality Indicators, Health CareRetrospective StudiesThrombectomyThrombolytic TherapyTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesConceptsDoor-to-puncture timeShorter door-to-puncture timeAmerican Heart AssociationEmergency medical services prenotificationNational quality improvement initiativeDoor-in-door-out timeGuidelines-Stroke programQuality of careEmergency medical servicesQuality improvement initiativesStroke screening toolDoor-in-door-outHeart AssociationQuality Improvement ProgramAcute reperfusion therapyGuidelines-StrokeObservational cohort studyEndovascular thrombectomyTelestroke consultationTimely careImprovement initiativesInterfacility transferMedical servicesDoor-to-punctureCohort studyClaims‐Based Machine Learning Classifier of Modified Rankin Scale in Acute Ischemic Stroke
Habib M, de Medeiros R, Ahsan S, Wojciechowski A, Donahue M, Blacker D, Newhouse J, Schwamm L, Westover M, Moura L. Claims‐Based Machine Learning Classifier of Modified Rankin Scale in Acute Ischemic Stroke. Journal Of The American Heart Association 2025, 14: e041635. PMID: 41085187, PMCID: PMC12684556, DOI: 10.1161/jaha.125.041635.Peer-Reviewed Original ResearchConceptsMedicare beneficiariesModified Rankin ScaleAcute ischemic strokeReceiver operating characteristic curve scoreReceiver operating characteristic curveIschemic strokeArea under the receiver operating characteristic curveMachine Learning ClassifiersPrecision-recall areaRankin ScaleStroke outcome researchPrecision-recall area under the curveOperating characteristics curveArea under the receiver operating characteristic curve scoreNational surveillance toolBinary classifierHeld-out test dataLearning classifiersMedicare claimsModified Rankin Scale outcomesPrecision-recallArtificial Intelligence and Novel Trial Designs for Acute Ischemic Stroke: Opportunities and Challenges
Broderick J, Mistry E, Wechsler P, Elkind M, Liebeskind D, Harston G, Wolenberg J, Frontera J, Kimberly W, Favilla C, Boltze J, Ospel J, Samaniego E, Adeoye O, Kasner S, Schwamm L, Albers G, Bolanos O, Campbell B, Carone D, Deljkich E, Rada Eltatawy A, Fisher M, Heit J, Hill M, Houser G, Jauch E, Kamel H, Kjos D, Ortiz S, Savitz S, Sheth K, Tymianski M, Wakhloo A. Artificial Intelligence and Novel Trial Designs for Acute Ischemic Stroke: Opportunities and Challenges. Stroke 2025, 57: 265-274. PMID: 41025236, PMCID: PMC12695146, DOI: 10.1161/strokeaha.125.052146.Peer-Reviewed Original ResearchConceptsClinical careTrial designArtificial intelligenceRoutine clinical careAcute stroke trialsPragmatic trialAcute ischemic stroke clinical trialsTreatment of acute strokeStroke physiciansMultiple interventionsInnovative clinical trial designsStroke clinical trialsStroke Treatment Academic Industry RoundtableNovel trial designsAreas of medicineResearch trialsClinical questionsAcute strokePlatform trialsAcute ischemic strokeStroke trialsClinical trial designClinical practiceCareStrokeDisparities in patient experience with video and audio-only virtual care.
Loevinsohn G, Cui Y, Schwamm L, Zachrison K. Disparities in patient experience with video and audio-only virtual care. Journal Of Telemedicine And Telecare 2025, 1357633x251372682. PMID: 40920347, DOI: 10.1177/1357633x251372682.Peer-Reviewed Original ResearchPatient experience dataPatient-reported experiencesPatient experienceVirtual careVisit modalityProvider communicationInterpersonal aspects of careSocial health determinantsAspects of careAssociated with lower likelihoodUS health systemInterpersonal aspectsAudio-only visitsHealth determinantsAmbulatory careHealth systemNested logistic modelsPatient's likelihoodVirtual visitsBad experiencesCarePrimary outcomeBlack patientsProvidersVisitsHospital Implementation of Endovascular Thrombectomy and Health Equity in Acute Stroke Outcomes
Lusk J, Liu B, O’Brien E, Hasan D, Fonarow G, Sheth K, Schwamm L, Xian Y, Albers G, Saver J, Li F, Mac Grory B. Hospital Implementation of Endovascular Thrombectomy and Health Equity in Acute Stroke Outcomes. Stroke 2025, 56: 3257-3267. PMID: 40891327, PMCID: PMC12433677, DOI: 10.1161/strokeaha.125.051312.Peer-Reviewed Original ResearchIn-Hospital MortalityHealth equityHospital implementationHospital levelInsurance statusGuidelines-Stroke programIschemic stroke mortalityEducational attainmentCounty-level povertyIn-hospital mortality/dischargeMedian income >American Heart AssociationAcute stroke outcomeGuidelines-StrokeStroke mortalityCounty poverty ratesObservational cohort studyAssociated with improvementsHealth outcomesHospital characteristicsPrimary exposureEndovascular thrombectomyCohort studyAmbulatory statusSocioeconomic equityMoving Beyond the Model Our Perspective on Meaningful AI Research in Cardiovascular Care
Jain S, Mortazavi B, Chan You S, Yao X, Lam C, Elias P, Poterucha T, Avram R, Tison G, Pirruccello J, Huang C, Wiens J, Schwamm L, Ruan X, Dunn J, Luo Y, Spatz E, Krumholz H. Moving Beyond the Model Our Perspective on Meaningful AI Research in Cardiovascular Care. Journal Of The American College Of Cardiology 2025, 86: 691-695. PMID: 40903130, DOI: 10.1016/j.jacc.2025.07.040.Peer-Reviewed Original ResearchAdvances in Digital Health 2025
Schwamm L, Silva G. Advances in Digital Health 2025. Stroke 2025, 56: 2782-2785. PMID: 40854036, DOI: 10.1161/strokeaha.125.049865.Peer-Reviewed Original ResearchThe Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden
Wright D, Kanaparthy N, Melnick E, Levy D, Huot S, Hsiao A, Schwamm L, Ong S. The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden. Applied Clinical Informatics 2025, 16: 872-878. PMID: 40602775, PMCID: PMC12367366, DOI: 10.1055/a-2647-1142.Peer-Reviewed Original ResearchConceptsDocumentation burdenResident physician traineesPhysician traineesSystem Usability ScaleNet Promoter ScoreAssociated with improvementsMeasures of acceptabilityPilot periodNASA Task Load IndexMeasures of usabilityProspective observational studyTask Load IndexTrainee experienceNASA-TLX scoresUsability ScaleTrainee learningObservational studyGenerative artificial intelligenceTraineesPromoter ScoreArtificial intelligenceUtilization metricsTrainee useBurdenNASA-TLX
Clinical Care
Overview
Lee H. Schwamm, MD, is an internationally recognized expert in the prevention, diagnosis, and treatment of stroke and transient ischemic attack (TIA). His research and clinical interests focus on stroke in the young and those whose strokes are without apparent cause (called cryptogenic strokes). He has been a leader in stroke clinical research, and has participated in the design or conduct of major trials that have defined how stroke is currently measured and treated, and how the guideline-recommended treatments are actually administered when patients are hospitalized for stroke. He deeply enjoys mentoring emerging leaders in academic medicine, and his work has been recognized by major grants and awards, including several of the highest volunteer awards from the American Heart Association.
In addition to his expertise in stroke, Dr. Schwamm is a leader in digital health and digital transformation. He realized early on that his work as a neurologist could be augmented with the infusion of big data, technology, and focusing on improving the processes of how health care is delivered. This translates to redesigning care delivery through the human-centered lens of the experiences of patients and providers, and letting the clinical problem drive what technology can be used to make things better (and not the other way around). “We have a real opportunity now to start capturing a lot more information about our patients in the parts of their life beyond the clinic and the hospital, such as with monitors, sensors, and smartphones, to regularly collect weight, activity, or blood pressure and transmit those results to the electronic medical record,” Dr. Schwamm says. By doing so, doctors can build a smarter profile of their patients, tailor treatments to them as individuals, and get their risk factors under control faster and more safely.
“I’ve always been drawn to the brain,” says Dr. Schwamm. “This fascination began when I chose to major in philosophy in college, and it drove me to choose neurology as my specialty. Within neurology, I gravitated to stroke because of the new treatments that had just emerged that could halt or reverse the damage being caused to the brain. I was able to make a major contribution by developing the ability to leverage technology to increase access to stroke specialists and improve outcomes for all stroke patients, not just those lucky enough to live near a major stroke center.”
Dr. Schwamm also serves as senior vice president and chief digital health officer for Yale New Haven Health (YNHH) and as a professor in Biomedical Informatics & Data Sciences at Yale School of Medicine (YSM). As the associate dean for digital strategy and transformation, he is leading the development of a new digital health strategy for YSM and YNHH. Dr. Schwamm has done extensive research and is especially interested in patterns of care delivery for stroke in the United States; how patients move from one health system to another during emergencies, before or after their stroke; and opportunities to identify and eliminate inequities in care.
“I often say, my car gets better health care than I do. Most patients show up in my office when they have the equivalent of a flat tire, or have run out of gas, or have an engine that is overheated, metaphorically speaking,” he says, “Our job as health care providers is to intervene before those critical events happen.”
All my goals really boil down to removing the barriers between patients and the care they need, Dr. Schwamm adds. “One way is to build high-reliability systems wherever we can so that we don't rely on people doing the right thing every time with good intention, but rather, we have systems that support us in doing that right thing every time.”
Clinical Specialties
News
News
- November 12, 2025
Twenty-Seven YSM Faculty Members Recognized for Highly Cited Research
- November 08, 2025Source: Barron's
AI won't be your doctor. It could make you a better patient.
- October 17, 2025
AI Scribes Reduce Physician Burnout and Return Focus to the Patient
- September 08, 2025Source: Yahoo! News
How AI may help at your next doctor's visit
Get In Touch
Contacts
Yale School of Medicine
333 Cedar Street - SHM - I-213 , (PO Box 208067)
New Haven, CT 06520-8067
United States
Administrative Support
Events
Everyone Alicia Heapy, PhD - Susan Rubman , PhD - Brian D. Kiluk, PhD - Lisa Fucito, PhD - Lee Schwamm, MD - Amber W. Childs, PhDThis event will be held on Zoom. Please register to obtain the Zoom link.