Within this I’ve been involved in writing a technical report and market analysis on an innovative patient-specific Clinical Decision Support System (CDSS) for the European Commission’s H2020 programme. The system, that identifies and alerts on prescription errors in real-time, addresses both health and economic burdens of medication errors. As a result of its high accuracy and clinical relevance, it improves patient safety, outcomes and experience, while dramatically reducing healthcare costs. The architecture of this CDSS seamlessly aggregates patient and drug data from multiple EHR sources and makes use of big data analytics and advanced machine learning algorithms to identify previously undetectable prescription errors. Its technology, based on crowdsourced physician practice patterns, allows to predict future outcomes by comparing individual patients to extremely similar reference cohorts.