Patent ID: 11923056
Assignee: CERNER INNOVATION, INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 12:
13. A computer-implemented method to determine one or more recommendations in a population of humans, the method comprising:
creating a data frame, based on information obtained via at least one clinician interface, and a timeseries for a candidate patient, the timeseries created based on the data frame and associated with a patient condition trajectory;
identifying health records for a population of patients having conditions, multiple episodes, or encounters over a period of time associated with the timeseries;
identifying frequently occurring inter-event patterns present in the health records;
based on the frequently occurring inter-event patterns and the conditions, multiple episodes, or encounters, automatically determining a set of recommendations for the candidate patient to mitigate a clinical condition, the determining accomplished in part by determining a set of timeseries trajectory clusters by:
performing a database scan that uses a sparse-matrix approach to decompose an original search lattice into sub-lattices that are processed independently in distributed memory to generate the set of timeseries trajectory clusters,
wherein:
the database scan occurs on one or more data stores; and
the one or more data stores are distributed across multiple physical locations;

computing and applying a multi-cluster mode; and
extracting one or more cluster assignments; and

displaying at least one recommendation of the set of recommendations using the at least one clinician interface.