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

Claim 15:
16. A system comprising one or more processors and non-transitory media storing instructions that, when executed via the one or more processors, enable operations for facilitating clinical decision making, the operations comprising:
receiving information associated with a reference set of patient health records for a population of patients associated with a clinical condition, each patient health record in the reference set of patient health records including a clinical event sequence, thereby forming a reference set of clinical event sequences;
creating: a target patient data frame based on the received information and based at least in part on information obtained via at least one clinician interface and a timeseries fora target patient based on the target patient data frame, the timeseries for the target patient including one or more patient case or patient care complexity indicators;
determining: based on the timeseries for the target patient, at least one patient condition trajectory, a frequently occurring inter-event pattern of clinical events from the reference set of clinical event sequences, and a salient sequence of clinical events, wherein the determining is 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 model; and
extracting one or more cluster assignments; and

based on the salient sequence of clinical events, automatically recommending, by using the at least one clinician interface, a condition intervention to mitigate the clinical condition.