Cerner Innovation, Inc.

Pradeep Premakumar

Krishna C Kumar

Mahesh Vilas Kotekar

Satya Krishna Pillarisetty

Thampuraj Dharmamoorthy

Wasimakram Binnal

Karthik Kolar Nagaraja

Techniques are provided for determining a delay in a data process flow at an enterprise data warehouse. An example method includes a device receiving historical data from a staging area and a target database of a data warehouse. The device can generate a feature for a machine learning model based at least in part on the historical data. The device can generate a forecasted time interval between receipt of data at the staging area and receipt of the data at the target database using the machine learning model and based at least in part on the generated feature, the data to be transmitted from the staging area to the target database. The device can compare the forecasted time interval with an expected time interval. The device can generate a work ticket based at least in part on the comparison.

Active management of files being processed in enterprise data warehouses utilizing time series predictions

A computerized method is presented for communicating an alert to an individual of a medical-related risk and storing in the individual's healthcare records information related to the individual's exposure to the medical-related risk. The method comprises constantly monitoring the individual's location; receiving an environmental report from a service provider containing current environmental factors, where the report is associated with an area; determining that the individual is within or proximate to the area associated with the report; retrieving medical records for the individual; determining, according to the medical records, that the environmental factors pose a medical-related risk to the individual; communicating the alert to the individual of the medical-related risk associated with the area; determining the individual was exposed to the medical-related risk; storing in the individual's healthcare records information related to the exposure. The methods may also comprise recommending orders, based on the exposure, for a medical professional to write.

Location-based healthcare system

A computerized method is presented for improving medical records of an individual based on received information from a device or wearable, the method comprising: retrieving from a record-keeping database medical-related information associated with the individual; retrieving from a device associated with the individual a measurable factor; determining, based at least partly on the medical-related information, that the measurable factor poses a medical risk to the individual; and communicating instructions to the record-keeping database to store, in association with the individual, information related to the medical risk. Other methods may associate a location with a medical risk. Other methods may aggregate medical information received from devices or wearables and associate it with a location. Mapping this information with regard to locations may allow early prediction of an epidemic.

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Bengaluru, India

Pradeep Premakumar