e-Health
Revolutionizing Healthcare through Technology-Driven Medical Advancement

Operating at the intersection of artificial intelligence (AI) and health, eHealth will transform the way healthcare is delivered.

 Dr. McCaslin and team member using AI technology

eHealth is healthcare supported by technology. Operating at the intersection of artificial intelligence (AI) and health, eHealth will transform the way healthcare is delivered, the manner and speed at which treatments are developed, and help to personalize medicine to individual patients.

Michigan Medicine researchers are on the forefront of eHealth adoption and are actively using technological tools to make healthcare more efficient and effective, from predicting disease before it happens to more quickly diagnosing conditions to screening potential drugs via the analysis of massive data sets.
Centers & Institutes
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AI & Digital Health Innovation

In addition to our robust foundation in data services and secure computing resources, we provide research implementation support to strategically integrate and study AI models in clinical workflows at Michigan Medicine.

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Center for Computational Medicine & Bioinformatics

The CCMB is a university-wide interdisciplinary academic center and a leader in the entire spectrum of biomedical informatics disciplines.

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e-HAIL

e-HAIL is a joint Michigan Medicine and College of Engineering initiative that aims to make U-M a premier hub for research that innovates in health through AI.

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Institute for Healthcare Policy & Innovation

The Institute for Healthcare Policy and Innovation (IHPI) is committed to improving the equity, quality, safety, and affordability of healthcare.

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Michigan Institute for Data & AI in Society

MIDAS promotes advancements in data science and artificial intelligence, and enables their transformative use in a wide range of research disciplines to achieve lasting scientific and societal impact.

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eHealth Researchers
Meet the Experts

Michigan Medicine is leading the way in eHealth research, transforming how healthcare is delivered and experienced.

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Latest Publications
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Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer
Mayo, CS, Feng, MU, Brock, KK, Kudner, R, Balter, P, Buchsbaum, JC, Caissie, A, Covington, E, Daugherty, EC, Dekker, AL, Fuller, CD, Hallstrom, AL, Hong, DS, Hong, JC, Kamran, SC, Katsoulakis, E, Kildea, J, Krauze, AV, Kruse, JJ, McNutt, T, Int J Radiat Oncol Biol Phys, 2023 Nov; DOI:10.1016/j.ijrobp.2023.05.033
PMID: 37244628
Reducing Unnecessary Oophorectomies for Benign Ovarian Neoplasms in Pediatric Patients
Minneci, PC, Bergus, KC, Lutz, C, Aldrink, J, Bence, C, Breech, L, Dillon, PA, Downard, C, Ehrlich, PF, Fallat, M, Fraser, JD, Grabowski, J, Helmrath, M, Hertweck, P, Hewitt, G, Hirschl, RB, Kabre, R, Lal, DR, Landman, M, Leys, C, JAMA, 2023 Oct; DOI:10.1001/jama.2023.17183
PMID: 37787794
An Update on Reported Adoption of 2021 CKD-EPI Estimated Glomerular Filtration Rate Equations
Genzen, JR, Souers, RJ, Pearson, LN, Manthei, DM, Chambliss, AB, Shajani-Yi, Z, Miller, WG, Clin Chem, 2023 Oct; DOI:10.1093/clinchem/hvad116
PMID: 37559439
Improving alcohol treatment engagement using integrated behavioral interventions in alcohol-associated liver disease: A randomized pilot trial.
Mellinger, JL, Medley, S, Kidwell, KM, Asefah, H, Winder, GS, Fernandez, AC, Lok, ASF, Blow, F, Hepatol Commun, 2023 Oct; DOI:10.1097/HC9.0000000000000181
PMID: 37708435
Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT
Kim, H, Li, Z, Son, J, Fessler, JA, Dewaraja, YK, Chun, SY, IEEE Trans Med Imaging, 2023 Oct; DOI:10.1109/TMI.2023.3270868
PMID: 37104110
Real-World Data: Applications and Relevance to Cancer Clinical Trials
Gross, AJ, Pisano, CE, Khunsriraksakul, C, Spratt, DE, Park, HS, Sun, Y, Wang, M, Zaorsky, NG, Semin Radiat Oncol, 2023 Oct; DOI:10.1016/j.semradonc.2023.06.003
PMID: 37684067
Optimizing Informed Consent in Cancer Clinical Trials
Perni, S, Jimenez, R, Jagsi, R, Semin Radiat Oncol, 2023 Oct; DOI:10.1016/j.semradonc.2023.06.001
PMID: 37684064
Incorporating Value-Based Decisions in Breast Cancer Treatment Algorithms
Wang, T, Dossett, LA, Surg Oncol Clin N Am, 2023 Oct; DOI:10.1016/j.soc.2023.05.008
PMID: 37714643
Featured News & Stories
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Health Lab
Telemedicine had an impact on carbon emissions equivalent to reducing up to 130,000 car trips each month in 2023
Telemedicine use in 2023 reduced monthly carbon dioxide emissions by the equivalent of up to 130,000 gas operated vehicles, suggesting it could have a positive effect on climate change, UCLA and Michigan led research finds.
 up close doctor in hospital with cardiology close up scans on monitors
Health Lab
Researchers find significant differences in care of life threatening shock after heart attack
A study finds most hospitals don’t see many cardiogenic shock patients. When they do, providers often do not have a standardized way of treating them.
 two older people taking blood pressure over breakfast
Health Lab
To keep high risk patients out of hospitals, at-home monitoring shows promise
Remote patient monitoring at home was associated with a major reduction in hospitalization in high risk patients.
Recent Podcast Episodes in eHealth
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The Fundamentals
A.I. and its potential to transform healthcare
How could A.I. potentially revolutionize healthcare delivery? The application of computer algorithms to medical knowledge has a long history, one that has accelerated in recent years to include generative AI platforms like ChatGPT. U-M expert Dr. Cornelius James discusses how AI is touching everything from doctors’ workloads to diagnostics to medical education.
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Health Lab Podcast
How AI is helping to predict death and complications after heart procedures
It showed high levels of accuracy at predicting death, major bleeding events and the need for blood transfusion. Visit Health Lab to read the full story. The BMC2 Probability of Events Following PCI application can be found here.
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Health Lab Podcast
A smart watch that could help your heart
The device would be the first clinical-grade, diagnostic wrist-worn device for long term Afib monitoring. Visit Health Lab to read the full story.