Walter Sujansky, M.D. Ph.D.
President and Senior Consultant
Dr. Sujansky has worked in the healthcare information technology industry for over 15 years, and has expertise in the areas of clinical data representation, controlled medical terminologies, data-interface standards, and heterogeneous database integration. He has developed commercial products using a variety of healthcare terminology standards, including SNOMED, ICD-9, CPT-4, and all of the major drug terminologies. He has also defined models and implemented systems for translating clinical data among heterogeneous information systems. Dr. Sujansky has experience in product management and requirements analysis, as well as the product development of electronic medical record systems and decision-support systems. He holds a B.A. from Harvard University and received his medical degree and Ph.D. in medical informatics from Stanford University. Additional background information.

Samuel A. Faus, M.S.
Associate Consultant
Sam Faus brings over 9 years of life science and informatics experience to Sujansky & Associates, with expertise in systems integration, web application design and development, laboratory information management systems, and chronic disease monitoring systems. He has developed web tools that enhance usability and access to enterprise data management systems for government organizations and private industry. His business experience includes 3 years of project management for system critical enterprise data management systems. He holds a B.S. in Biology from the University of Oregon and a M.S. in Medical Informatics from the University of Utah where he received a National Library of Medicine Fellowship.

Affiliate Consultants
Sujansky & Associates employs a network of experts in medical informatics, software development, and clinical healthcare on a project-by-project basis. Affiliate consultants are trained and experienced in various facets of clinical data engineering, and they work in close concert with Dr. Sujansky on each project. The skill sets and experience levels of these personnel are appropriately matched with the requirements of each project and suitably reflected in the costs.