Semmelweis University Health Services Management Training Centre
AI-Driven Healthcare Optimisation Systems
Abstract
Utilizing cutting-edge artificial intelligence technology, a healthcare optimization and decision support system fuelled by big data is a revolutionary solution. Designed to analyze extensive healthcare data and harnessing sophisticated AI algorithms, this approach aims to enhance efficiency, decrease expenses, elevate patient outcomes, offer novel predictive and prognostic services within the healthcare domain. Through the utilisation of these systems, healthcare professionals can access valuable insights to make well-informed decisions, detect patterns and trends in data, anticipate potential health concerns, and ultimately refine the provision of healthcare services. By incorporating AI technology, healthcare institutions are able to simplify operations, tailor treatments to individual needs, and ultimately enhance the standard of care for patients.
Biography
Professor Miklós Szócska graduated at the Semmelweis University (SU) of Medicine in 1989. He holds a Master of Public Administration degree from the John F. Kennedy School of Government at Harvard University (1998), and a Ph.D. from the SU in the field of change management (2003).
After his graduation at the SU he and his colleagues initiated the creation of the Health Services Management Training Centre where he was serving in various leadership positions, at present as its director. In July 2019 Dr Szócska was appointed to be the Dean of the Faculty of Health and Public Administration at Semmelweis University.
Between 2010-2014 Dr. Szócska served as the Minister of State for Health of the Hungarian Government with an agile health policy programme.
In 2016 He was nominated by the Hungarian Government for the DG position of the WHO.
Since 2021 he has been serving as a member of the Board of Trustees of the National Foundation for Health Care and Medical Education at Semmelweis University.