This Guidance helps life sciences customers to gain a comprehensive understanding of the patient care journey through a Patient Outcome Predictor (POP) application that applies artificial intelligence and machine learning (AI/ML) to de-identified, longitudinal patient data. POP helps to uncover unique patterns in target patients’ medical history and unleashes insights about patient outcome patterns such as disease progression to support early identification of eligible patients for treatments, data-driven care management decisions and timely interventions. Patient journey predictions that are made by the algorithm can be linked back to providers so that life sciences organization can use POP for improving their customer segmentation & targeting with deciphered real world patient journey insights to enable successful product commercialization.

https://aws.amazon.com/solutions/guidance/patient-outcome-prediction-on-aws/?did=sl_card&trk=sl_card