Loading patent…
AssigneeCerner Innovation, Inc.
InventorsRajvardhan J P, Wasimakram Binnal, Pradeep Premakumar
Estimating the term…
A system and method for predicting resource usage using machine-learning models. The method entails collecting a dataset from a variety of data sources such as electronic medical/health records or medical registries. The method identifies if an outreach communication occurred or is scheduled to occur for a subject. A set of features are extracted from the dataset and the method generates derived features from one or more extracted features. The extracted features and generated set of derived features are collated into a candidate feature vector used for training the machine-learning models. The models generate a predicted likelihood of the subject seeking care at the medical facility within a defined time period. Based on the predicted likelihoods of the subjects seeking care at the medical facility, the method predicts an upcoming resource demand at the medical facility. The method generates a recommended action in case predicted resource demand exceeds a threshold.
A computer-implemented method comprising:
A system comprising:
A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause one or more data processors to perform action including:
Dependencies are inferred from the claim text.