Janos L. Mathe

Janos L. Mathe is a Principal Knowledge Engineer of the Clinical Decision Support and Knowledge Engineering team at the Health Information and Services department of the Vanderbilt University Medical Center.

As part of the department, he was instrumental in defining the practices of the institution’s enterprise knowledge management and engineering program. Between 2012 and 2017 he worked as the solution architect of the Vanderbilt Oncology Information System (VOIS), which served as an integrated, custom-built clinical information system using clinical decision support knowledge to support the cancer care continuum. Between 2016 and 2017 Janos L. Mathe also served as a consultant for the Program Office of Knowledge Based Systems (KBS) at Veterans Health Administration (VHA) of the U.S. Department of Veterans Affairs (VA), where he helped with requirements specification of future knowledge based systems.

Janos L. Mathe received his Ph.D. in Computer Science at Vanderbilt University in 2012. While pursuing his degree he worked as a research assistant at the Institute of Software Integrated Systems (ISIS) where he focused on the design and implementation of various model-based clinical and system security applications. Prior to that he received his M.Sc. degree in Computer Science at the Budapest University of Technology and Economics in 2004.

Janos L. Mathe has experience in applying computer science methods to problems in medical informatics, specifically in the fields of clinical knowledge representation, knowledge-based health information systems design and analysis, and enterprise knowledge management. He has successfully applied model-based techniques for the representation, simulation, verification, and deployment of computer interpretable medical guidelines to implement tools for patient management using advanced clinical decision support (CDS).

Janos L. Mathe currently focuses on delivering an enterprise-wide knowledge management platform for the Vanderbilt University Medical Center to enable the creation of a knowledge catalog with rich metadata that allows the centralized governance of content through features such as formal modeling, concept-level versioning, asset management workflow and life-cycle support, and content structure search, visualization, and analysis.