DIETI Contact person / Partner: Maurizio Boccia
Abstract
Nowadays electronic medical records, billing, clinical systems data from wearables and various pieces of research provide huge amount of healthcare information. Careful analysis of these data can lead to smarter decisions, better patient care and cost savings. In this context the development and usage of analytics and data science techniques represent a valuable decision support tool for the improvement of the clinical care activities and prevention of disease or health incidents.
Objective
Main objectives are the processing and development of data science techniques for:
- drug discovery and quick/precise diagnosis by the processing of clinical and laboratory reports;
- healthcare cost reduction and resource exploitation optimization (room usage, personnel scheduling, device maintenance, etc.)
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Available
Can be assigned to one doctoral student of cycle XXXVI