Patent ID: 11929176
Assignee: CERNER INNOVATION, INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 7:
8. A method comprising:
receiving, at a multi-agent system, a reference set of clinical information associated with a reference population of patients from a set of records of a second health-records system, the reference set of clinical information including a plurality of codified clinical concepts;
based on the reference set of clinical information and one or more reference sensor indications of a reference patient in the reference population, determining, at the multi-agent system, a probable future clinical decision support event that is common after at least a first time period after the one or more reference sensor indications in the set of records for the reference population of patients; and
training a machine learning agent of the multi-agent system to determine a reference predicate vector pattern associated with a decision epoch for the probable future clinical decision support event based on the reference set of clinical information and on the one or more reference sensor indications of a reference patient in the reference population, wherein the decision epoch represents a future time instance that is also occurring prior to the probable future clinical decision support event.