1500 E Medical Center Drive
Ann Arbor, MI 48109
Available to mentor
Michael Mathis, MD is an Associate Professor of Anesthesiology in the Division of Adult Cardiac Anesthesia at the University of Michigan. After completing his undergraduate degree in Biomedical Engineering at Duke University in 2006, Dr. Mathis received his MD from University of Michigan in 2010 and completed his residency in Anesthesiology and fellowship in Adult Cardiothoracic Anesthesiology at University of Michigan. He also completed an NIH T32 research fellowship sponsored by the Department of Anesthesiology at University of Michigan.
Dr. Mathis seeks to improve perioperative care of patients with advanced cardiovascular disease, through the use of data science techniques applied to real-world electronic health data. He serves as the Research Director for the Multicenter Perioperative Outcomes Group spanning US academic and community hospitals, amassing data electronic anesthesiology records for research and quality improvement.
Multicenter Perioperative Outcomes Group
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MDUniversity of Michigan, 1500 East Medical Center Drive, 2010
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BSEDuke University, Durham, 2006
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Center MemberCenter for Computational Medicine and Bioinformatics
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Center MemberPrecision Health Initiative
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Center MemberInstitute for Healthcare Policy and Innovation
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Center Membere-Health and Artificial Intelligence Initiative
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Center MemberSamuel and Jean Frankel Cardiovascular Center
Dr. Mathis has research interests in improving perioperative care for patients with advanced cardiovascular disease, particularly for patients with heart failure. As part of the Multicenter Perioperative Outcomes Group (MPOG), an international consortium of perioperative databases for which U-M serves as the coordinating center, he serves as Research Director and plays a lead role in integration of MPOG data with data from national cardiac and thoracic surgery registries. He also has interests in leveraging novel data science methods to understand patterns within highly granular intraoperative physiologic data, studying hemodynamic responses to surgical and anesthetic stimuli as a means for early detection of cardiovascular diseases such as heart failure.
Dr. Mathis is an Affiliated Faculty within the Center of Computational Medicine and Bioinformatics (CCMB), member of the Michigan Integrated Center for Health Analytics & Medical Prediction (MiCHAMP) and member of the Institute for Health Policy and Innovation (IHPI). He has received research funding from the NIH, Department of Defense, and the BCBS Foundation of Michigan.
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Mathis MR, Ghadimi K, Benner A, Jewell ES, Janda AM, Joo H, Maile MD, Golbus JR, Aaronson KD, Engoren MC, Michigan Congestive Heart Failure Investigators . Br J Anaesth, 2024 Oct 9;Journal ArticleHeart failure diagnostic accuracy, intraoperative fluid management, and postoperative acute kidney injury: a single-centre prospective observational study.
DOI:10.1016/j.bja.2024.08.020 PMID: 39389834 -
Engoren M, Janda A, Heung M, Sturmer D, Likosky DS, Hawkins RB, Do-Nguyen CC, Mathis M. J Cardiothorac Vasc Anesth, 2024 Sep; 38 (9): 1914 - 1922.Journal ArticleThe Association of Oxygen Delivery and Transfusion on Cardiopulmonary Bypass with Acute Kidney Injury.
DOI:10.1053/j.jvca.2024.04.019 PMID: 38890088 -
Mathis M. 2024 Jul 12;PresentationGuidelines on Using Machine Learning for Clinical Applications
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Mathis M. 2024 Jul 9;PresentationUsing Machine Learning for Clinical & Health Applications
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Tang PC, Millar J, Noly PE, Sicim H, Likosky DS, Zhang M, Pagani FD, Michigan Congestive Heart Failure Investigators . J Thorac Cardiovasc Surg, 2024 Jul; 168 (1): 133 - 144.e5.Journal ArticlePreoperative passive venous pressure-driven cardiac function determines left ventricular assist device outcomes.
DOI:10.1016/j.jtcvs.2023.07.019 PMID: 37495169 -
Burns M, Mathis M, Shah N, Edelman A, Janda A, Colquhoun D, Schonberger R. APSF Newsletter, 2024 Jun 17; 39 (2):Journal ArticleAn Evolving Framework for Using Big Data Tools and Machine Learning to Enhance Perioperative Quality Improvement, Research, and Patient Safety
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Chauhan MZ, Soliman MK, Pace NL, Mathis MR, Schonberger RB, Sallam AB, MPOG Investigator Group . Am J Ophthalmol, 2024 Jun 12; 267: 30 - 40.Journal ArticleAnesthesia Techniques for Vitreoretinal Surgery in the United States: A Report from the Multicenter Perioperative Outcomes Group Research Consortium.
DOI:10.1016/j.ajo.2024.06.010 PMID: 38871268 -
Colquhoun D, Mathis MR, Schonberger RB, Edelman AL, Janda A, Burns ML, Shah N. 2024 Jun 1;Additional ScholarshipAn Evolving Framework for Using Big Data Tools and Machine Learning to Enhance Perioperative Quality Improvement, Research, and Patient Safety