Patent ID: 11923094
Assignee: CERNER INNOVATION, INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 14:
15. A system comprising:
one or more processors including a bus component; and
one or more computer storage media storing instructions that, when used by the one or more processors, cause the one or more processors to perform operations comprising:
extracting medical information from a set of electronic medical records associated with a population of individuals having a common medical condition;
generating, by a predictive model, a plurality of numerical condition scores and a plurality of risk levels corresponding to the plurality of numerical condition scores based on the set of electronic medical records;
determining, based on the plurality of numerical condition scores and the plurality of risk levels, a plurality of monitoring values computed using the predictive model, the plurality of monitoring values including at least a first monitoring value and a second monitoring value for each individual within the population;
determining, from the medical information, a plurality of actions taken, each action taken within the plurality of actions taken being in response to the first monitoring value and being performed before computation of the second monitoring value for each individual, each action taken corresponding to a recommended action generated by the predictive model in response to the first monitoring value, wherein the recommended action is generated prior to a first discharge of the individual from a healthcare facility;
determining a plurality of time periods, wherein each time period occurs prior to the first discharge;
based on a trend in monitoring values for each individual and an amount of time, generating one or more assessments for the predictive model, wherein the one or more assessments indicate at least whether the common medical condition in individuals within the population tends to improve when the action taken is the recommended action suggested by the predictive model and indicating whether one or more time periods within the plurality of time periods is more likely than other time periods to improve occurrence of the common medical condition within the population of individuals;
adjusting the predictive model based on the generated assessment;
determining, using the adjusted predictive model, a first time taken by the population of individuals to reach from a first risk level of the plurality of risk levels to a second risk level of the plurality of risk levels, in response to the plurality of actions taken for the medical condition;
determining, using the adjusted predictive model and in response to the action for the medical condition, a second time taken by an individual to reach, from the first risk level of the plurality of risk levels, to a second risk level of the plurality of risk levels; and
generating an alert, using the adjusted predictive model, when the second time taken by the individual to reach from the first risk level of the plurality of risk levels to a second risk level of the plurality of risk levels deviates from the first time taken by the population.