Founding Partners

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Piyush Mathur, MD,FCCM,FASA FAMIA

Piyush Mathur, M.D., is a Staff Anesthesiologist and Critical Care physician at Cleveland Clinic, Ohio with more than 20 years of clinician experience.He is the Innovation Lead for Department of Anesthesiology,Cleveland Clinic. He has also served in the role of the Quality Improvement Officer and chair, compliance committee, Anesthesiology Institute for more than a decade. He completed his medical school training in India from Armed Forces Medical College(AFMC,Pune) followed by residency in Anesthesiology and fellowship in Critical Care from Cleveland Clinic.He subsequently completed a one year, quality fellowship at Cleveland Clinic and training in computer programming, machine learning and deep learning.He is the past program director of the anesthesiology critical care fellowship program at Cleveland Clinic.

A recognized leader in critical care, quality, education and artificial intelligence applications in healthcare, he has led many of the local and national programs including serving as the chair of the post-graduate education committee, coding and documentation education committee of the Society of Critical Care Medicine (SCCM).He is currently a member of CPT editorial advisory committee, AMA(American Medical Association) and primary advisor,SCCM.

Trained in computer programming, machine learning and deep learning, he is the founder of BrainX, an AI in healthcare application research and development company.He also founded, one of the largest groups for machine learning in healthcare, BrainX Community. He has focused his research on applications of artificial intelligence(AI) in healthcare for the last many years.He is a leader in quality and patient safety who has innovated and successfully implemented many algorithms and tools in electronic health records such as difficult airway identification(EPIC), anesthesia awareness alert (DSS, Talis), antibiotic alert (ACG, Talis).Recipient of multiple innovation awards at Cleveland Clinic, he is leading innovation efforts in integrating machine learning and artificial intelligence in healthcare. Current, projects include AIDE(Artificial Intelligence Diagnosis Engine), SALUS (robotic artificial intelligence patient safety system),BRAINS(Biologically Relational Artificial Intelligence Networking System).He is a recipient of numerous local and international awards including Institute of Healthcare Improvement(IHI) Permanante award and the prestigious Presidential citation from Society of Critical Care Medicine (SCCM).He has made numerous local, national and international presentations and publications in the fields of anesthesiology, critical care, quality, education and artificial intelligence applications in healthcare.

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Frank Papay, M.S.(BME) M.D., F.A.C.S., FAAP

Francis A. Papay, M.S.(BME) M.D., F.A.C.S., FAAP is Professor of Surgery at the Lerner College of Medicine at Case Western Reserve University and Chairman of the Dermatology and Plastic Surgery Institute at the Cleveland Clinic.  Dr. Papay is a biomedical engineer and surgeon, double boarded in Otolaryngology Head and Neck Surgery in addition to Plastic and Reconstructive Surgery with subspecialty fellowship training in skull base and craniofacial surgery.  He has made important contributions to invention and innovation in surgery and medicine such as lead craniofacial surgeon for Cleveland Clinic’s three face allograft transplantations, designer of instrumentation for neuromodulation of skull base nerve bundles for migraine headaches and obstructive sleep apnea in addition to drug delivery systems for chronic wound treatment.

He is the recipient of the Medal of Merit from Ohio University, the WebMD Health Hero Award in Science, the George and Grace Crile Surgical Award, and 56 other awards and lectureships. He holds several dozen U.S. patents that have been licensed to biotech companies. He is co-founder of several Cleveland Clinic biotech startup companies such as IonVac, X.D.I., Advanced Patient Systems and Enhale Medical. He has published over 215 peer-reviewed articles and book chapters, and serves on the editorial review boards of several medical journals.  Dr. Papay has been recently inducted as a fellow in the National Academy of Inventors in addition to serving in several executive positions in the American Society of Maxillofacial Surgeons, American Association of Plastic Surgeons, American Plastic and Reconstructive Surgery Society, Fellow American College of Surgeons and Fellow American Academy of Pediatrics.

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Ashish Khanna, MD,FCCP,FCCM

A​shish K.Khanna, MD, FCCP, FCCM, is a staff intensivist & anesthesiologist, associate professor of anesthesiology and associate section head for research with the department of anesthesiology, section on critical care medicine at the Wake Forest University School of Medicine, Winston-Salem, NC. 

Dr.Khanna is the immediate past ​chair of the Society of Critical Care Medicine’s (SCCM) In-Training Section and a current outgoing chair for the SCCM Postgraduate and Fellowship Education Committee. He is a recent recipient of the SCCM presidential citation for the years 2016,2017 & 2019 and a successful nominee as a​ fellow of the American College of Critical Care Medicine (FCCM) in 2018. He is also a part of the SCCM program planning committee (term until 2022), the SCCM Discovery Research Network Steering Committee ( term until 2022), the THRIVE ICU survivors taskforce and the adult item writing committee ( term until 2021).As part of the SCCM Anesthesiology section for the last six years, and a current member of the anesthesiology section steering committee and communications sub-committee he has been extensively involved with the Anesthesiology year-in-review program at SCCM, has presented as faculty, and continues to do the same. He has authored extensively for critical connections – the official newsletter for the society. Dr.Khanna is also vice-chair for the American Society of Anesthesiologists (ASA) committee on critical care medicine and abstract review committee on critical care medicine. He has completed six years with the educational track sub-committee on critical care medicine for the ASA. He is part of the Society of Critical Care Anesthesiologists (SOCCA) committee on education. 

His research interests include, prediction of post-operative respiratory and cardiac events on the regular nursing floor, outcomes of hypotension in critically ill patients and use of novel vasopressors in shock states in the ICU. From 2015-2017 Dr.Khanna was the lead investigator for the Angiotensin II in High Output Shock (ATHOS-3) trial, that was subsequently published in the NEJM in the summer of 2017. He also recently lead and completed the Prediction of Opioid Induced Respiratory Depression in Patients Monitored by Capnography (PRODIGY) trial in 16 sites across the world. Earlier last year he was awarded the prestigious Foundation for Anesthesia Education and Research (FAER) mentored research training grant (clinical and translational research) sponsored by the American Society of Anesthesiologists, in the same area of clinical research – prediction of postoperative cardiorespiratory compromise. He is also working on the design and implementation of a novel hypotension prediction score in the ICU, specifically in patients needing emergent endotracheal intubation.  Being involved in the big data revolution, Dr.Khanna has partnered with other experts in developing the Artificial Intelligence Diagnosis Engine (AIDE) as part of a successful IBM Watson Artificial Intelligence XPrize effort. This platform will help clinicians generate and document diagnosis specific codes in an effective and efficient manner (www.BRAINXai.com) He has more than 65 peer reviewed papers, two dozen book chapters, editorials, invited non-peer reviewed articles, and online educational videos to his credit and has been invited to talk about his work at prestigious national and international forums.  

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Jacek B. Cywinski, MD,FASA

Jacek B. Cywinski, MD, FASA is an anesthesiologist, researcher and holds an academic appointment as a Professor of Anesthesiology at the Cleveland Clinic Lerner College of Medicine. He completed his anesthesiology residency and a cardiothoracic fellowship at the Cleveland Clinic and was appointed a faculty member at the Department of General Anesthesiology upon graduation. He is currently the Quality Improvement Officer and the Director of the Transplant Anesthesia at the Department of General Anesthesiology and has a joint faculty appointment in the Transplant Center and Department of Outcome Research at the Cleveland Clinic.

Dr. Cywinski's clinical and research interests include anesthesia for vascular and liver transplantation surgery, intraoperative transesophageal echocardiography, patient safety, and quality improvement. He is focused on applications of machine learning and artificial intelligence solutions in healthcare. 

Dr. Cywinski has authored over 80 published research articles and book chapters on a variety of topics: clinical outcome, solid organ transplantation, big data analytics, artificial intelligence, and quality improvement in healthcare.

 

KAMAL MAHESHWARI, MD, MPH

Kamal Maheshwari MD MPH is an Anesthesiologist working at Kaiser Permanente,California. He specializes in liver transplantation and acute pain management and was formerly at the Cleveland Clinic and as the Associate Professor of Anesthesiology at CCLCM. He graduated in Medicine from University of Delhi, India. He completed MPH program at Johns Hopkins Bloomberg School of Public Health with specialization in health policy and management and received a certificate in Quality Patient Safety and Outcomes Research.  He recently founded the Center for Perioperative Intelligence at Cleveland Clinic Foundation to focus on big data and analytics in healthcare. Dr. Maheshwari is the principal investigator for the anesthesia registry at CCF and has published numerous papers in the area of perioperative outcomes research. Currently, Dr. Maheshwari is overseeing multiple national clinical trials in the area of perioperative hemodynamics, especially prediction algorithms and decision support systems.