Abstract: Methods, systems, and computer-storage media are provided for determining an individual's second event risk score where the second event risk score represents a likelihood that the individual will experience the second event within a predetermined time period after the occurrence of a first event. Upon occurrence of the first event, a sampling protocol is initiated where an electronic medical record store is accessed on a predetermined schedule to sample a pre-selected set of medical data elements for the individual. Logistic regression analysis is executed on the pre-selected set of medical data elements to generate a second event risk score for the individual. The second event risk score is communicated to a medical professional managing the medical care of the individual, and the individual's electronic medical record is modified to reflect the second event risk score.

Abstract: Systems, methods, and storage media useful in a computer healthcare system to consume clinical quality language queries in a programmatic manner are disclosed. Exemplary implementations may: load a CQL query from a third party; transform the CQL query to a modified structured query language query; load medical data elements from a database record store for each patient in one or more defined patient populations; execute the modified SQL query on medical data elements from the database record store for each patient in one or more defined patient populations; and load results of the modified SQL query.

Abstract: Systems, methods, and storage media useful in a computer healthcare system to consume clinical quality language queries in a programmatic manner are disclosed. Exemplary implementations may: load a CQL query from a third party; transform the CQL query to a modified structured query language query; load medical data elements from a database record store for each patient in one or more defined patient populations; execute the modified SQL query on medical data elements from the database record store for each patient in one or more defined patient populations; and load results of the modified SQL query.

Abstract: Methods, systems, and computer-storage media are provided for determining an individual's second event risk score where the second event risk score represents a likelihood that the individual will experience the second event within a predetermined time period after the occurrence of a first event. Upon occurrence of the first event, a sampling protocol is initiated where an electronic medical record store is accessed on a predetermined schedule to sample a pre-selected set of medical data elements for the individual. Logistic regression analysis is executed on the pre-selected set of medical data elements to generate a second event risk score for the individual. The second event risk score is communicated to a medical professional managing the medical care of the individual, and the individual's electronic medical record is modified to reflect the second event risk score.

Abstract: Methods, systems, and computer-readable media are provided for determining a post-acute care setting that is best suited to meet a patient's medical needs upon the patient being discharged from an acute-care facility. A set of propensity scores is generated for the patient using healthcare variables in the patient's electronic medical records. Each propensity score in the set corresponds to a particular post-acute care setting. The propensity scores may be used in association with a calculated risk of readmission for the patient to determine a post-acute care setting optimized to meet the patient's medical needs.