PatchAI™ is the first cognitive platform for the collection and predictive analysis in conversational form (Co-PRO™) of data reported by patients in Clinical Trials. PatchAI™ uses technologies such as Artificial Intelligence and Machine Learning and integrates an empathic virtual assistant built on IBM Watson™ that interprets patients' needs, implements customized strategies to promote and maintain patient engagement, and collects data on symptoms, adverse events, adherence to therapy and quality of life. PatchAI™ improves the entire patient experience, leading to better health outcomes and reducing the time and cost of trials.
In the transition from "blockbuster" medicine to personalized medicine, patients are no longer simply "subjects" for data collection during clinical trials, but essential contributors to the process. In this scenario, Patient Reported Outcomes (PRO) allow patients to directly record their health status and treatment outcomes by providing information on quality of life, therapeutic adherence, symptoms, efficacy, tolerability, usefulness and preferences.
The main goals of PatchAi are:
- Transform clinical research through attention to patient centrality, security and cutting-edge digital technologies;
- Develop digital health solutions dedicated to the development of safer, faster and cheaper medical products to improve patients' lives;
- Increase the motivation and engagement of patients in their clinical trial path;
- Revolutionize the collection of patient data through the adoption of Co-PRO™ (Conversational Patient Reported Outcomes) and integrate data from various devices and systems to generate new evidence from the real world (RWE).