Nicola Gentili
Before working in IRST, I spent a few years as an IT analyst in the private sector, in the fields of production, logistics, and quality. Since 2006, I have been working for the Romagnolo Institute for the Study of Tumors (IRST) "Dino Amadori" Research Institute. In IRST I worked as an IT for the first years (system administration, database administration, developer, ...). My curiosity has been oriented to the use of data, to the representation of reality through data, in order to support comparison and discussion. In the meantime, I obtained a bachelor's degree in computer science and technology. During my experience in IRST, I dedicated a few years to activities in the Institute's Outcome Research Group: explored clinical pathways and System issues (use of per capita resources, unwarranted variations, value in health, ...). In the meantime, I started collaborating with SIMM (Italian Society of Leadership and Management in Medicine). With these friends, we continued the lines of work already addressed with the IRST Outcome Research Group, bringing the comparison at the regional and national level. Context analysis, professional collaboration, training, and communication have always been at the core of our activities. We have developed two small pieces of forum theater: the first was taken from a UK experience and is dedicated to the representation of the care path of a stroke patient, the second is an original piece that we created involving a focus group of patients suffering from breast cancer.
I started the second cycle of studies in Data Science, but during the pandemic, I suspended it, and now I'm studying Digital Transformation Management. In recent years, I have been working for the Health Department of IRST and the Local Health Authority of Romagna, supporting the organization of processes and the use and sharing of information. I've written the Digital Strategy of Romagna with the Heads of ICT of IRST and Health Authority of Romagna, with the collaboration of some professors of the University of Bologna, Alma Mater Studiorum, Department of Engineering and Information Technology. Finally, in recent months, we have set up a small "Data Unit" to enhance our ability to extract knowledge from the information collected in all healthcare processes, including through artificial intelligence and machine learning techniques.