Patent ID: 11887738
Assignee: CANCER COMMONS
Field: Medical technology (Instruments)
Classification: CPC G  Y | IPC G

Claim 6:
7. A computing platform comprising one or more processors configured to provide: (a) a knowledge database comprising a plurality of clinical cases and treatment options and treatment rationales associated with the plurality of clinical cases; (b) a clinical case capture tool for capturing a clinical case; (c) a clinician survey application for publishing the clinical case to an expert clinician network and collecting feedback for one or more treatment options and associated treatment rationales for the clinical case; and (d) a clinical decision engine comprising a machine learning algorithm utilizing the knowledge database to provide a user with at least one recommendation of the one or more treatment options based on the feedback, wherein a Bayesian decision process is conducted to prioritize the one or more treatment options in order to coordinate treatment decisions across a plurality of patients, wherein the Bayesian decision process prioritizes the one or more ranked treatment protocols based at least in part on (1) an efficacy of the one or more ranked treatment protocols, and (2) a variance or uncertainty of an efficacy of an equipoise set of the one or more ranked treatment protocols, wherein the Bayesian decision process prioritizes the equipoise set based at least in part on relative amount of information gained from the predicted outcomes across the equipoise set, wherein the knowledge database is updated with outcome data for the captured clinical case, and wherein the machine learning algorithm is trained using the updated knowledge database comprising a training data set comprising a plurality of input features and the outcome data of the captured clinical case.