Patent ID: 11972872
Assignee: CERNER INNOVATION, INC.
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 9:
10. A computer-implemented method for assessing a patient comprising:
collecting, by at least one processor, a set of physiological data of the patient, wherein the physiological data comprises a set of data points collected at a plurality of data measurement times by one or more physiologic sensors, and wherein each data point of the set of data points includes a corresponding date-time stamp;
generating, by the at least one processor, a time series using the set of data points of the set of physiological data of the patient collected from the one or more physiologic sensors;
identifying, by the at least one processor, a portion of the time series that is useable for computing one or more forecasted values associated with variables for the set of physiological data at a future time based on the generated time series;
determining, by the at least one processor, using one or more evolutionary algorithms, whether the one or more forecasted values are outside a control limit range associated with variables for the set of physiological data, the one or more evolutionary algorithms including at least one of a particle swarm optimization, differential evolution, or Hankel matrix, the one or more evolutionary algorithms are to solve for a most probable forecasted value for the one or more forecasted values,
wherein the particle swarm optimization generates predicted physiologic parameters for the set of physiological data by generating a plurality swarms of the time series, each swarm exhibiting a tendency toward a global outcome for minimizing an objective function; and
issuing, by the at least one processor, an alert on a user interface, wherein the alert indicates that the patient is forecasted to deteriorate or improve.