Dr. Haralampos Karanikas is Senior Researcher at University of Athens (Medical School) and lecturer at the Department of Computer Science, Technological Educational Institute of Sterea Ellada. Member of the European Initiative EUnetHTA JA3 for Health Technology Assessment and he is eHealth consultant in Athens Medical Society member of the team that develops the prescription protocols integrated in the Greek national electronic prescription system. General Secretary of the Greek Society of eHealth Applications (EEMEPY) and member of the National Committee for the implementation of protocols and monitoring of pharmaceutical expenditure, under the authority of the Ministry of Health.
He is actively involved in Health Information Management as a focal research area. His work aims at advancing the ways data mining algorithms are used in order to analyze natural language text and structured data in an attempt to discover structure and implicit meanings “hidden” within. His research interests include eHealth, Patient Registries, Medical Prescription Protocols, Electronic Health Records, Ontology construction, data and text mining, and health big data.
He has been involved in many research projects. From September 2010 till March 2012 he was special IT advisor of the General Secretary, Ministry of Health, scientific responsible for the implementation of ESY.net (National health BI system), member of the Greek DRGs implementation team and member of the Central Committee of the Ministry to monitor the IT systems of the NHS. From March 2012 till April 2013 Haralampos Karanikas was board member of the Greek Health Procurement Committee (E.P.Y.), an independent agency with administrative and financial autonomy, reporting directly to the Minister of Health. E.P.Y. is responsible for strategic and operational planning of the procurement system in the Health Sector. He was a member of PARENT (Cross Border Patient Registries Initiatives) Executive Committee. Haralampos Karanikas holds a PhD in the field of Temporal Text Mining at University of Manchester on health data management.