"How can artificial intelligence optimize value-based contracting?"
This research was conducted by Jose Luis Poveda, Rosa Bretón-Romero, Carlos Del Rio-Bermudez, Miren Taberna, and Ignacio H. Medrano. It was published in the Journal of Pharmaceutical Policy and Practice. The study discusses how artificial intelligence, specifically Natural Language Processing (NLP), can optimize value-based contracts (VBCs) in the pharmaceutical market. The authors argue that the extraction and analysis of massive amounts of real-world evidence (RWE) captured in patients’ electronic health records (EHRs) can circumvent issues associated with VBCs and optimize negotiations. The use of NLP enables the real-time evaluation of treatment response and financial impact in real-world settings, which can be beneficial in the context of innovative contracting.