Cerner Innovation, Inc.

Cole Anthony Erdmann

Bharat Sutariya

Ryan Alan Brush

Joseph Marcus Overhage

Darcy Davis

Timothy J Arnold

Xinyong Tian

Methods, computer systems, and computer-storage medium are provided for providing closed-loop intelligence. A selection of data is received, at a cloud service, from a database comprising data from a plurality of sources in a Fast Healthcare Interoperability Resources (FHIR) format to build a data model. After a feature vector corresponding to the data model is extracted, a selection of an algorithm for a machine learning model to apply to the data model is received. A portion of the selection of data is utilized for training data and test data and the machine learning model is applied to the training data. Once the model is trained, the trained machine learning model can be saved at the cloud service, where it may be accessed by others.

Closed-loop intelligence

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.

Reducing the risk of potentially preventable events

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.

Systems, methods, and storage media useful in a computer healthcare system to consume clinical quality language queries in a programmatic manner

Methods, systems, and computer-readable media for creating a model that enables a health system with a population of patients to better understand its patient population by being able to track which patients are being well-managed and which patients may be in need of some type of clinical intervention are provided. The methods, systems, and computer-readable media create a model that enables a health system to assess its patient population in terms of wellness, complexity, and impactability. Wellness provides a measure of resource consumption of patients within the population, complexity measures the long-term complexity of patients within the population, and impactability provides an indication of how in-need a patient is of some type of clinical intervention.

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Kansas City, MO, United States of America

Cole Anthony Erdmann