Recommend focus measures for potential STAR rating goals per contract based on measure-level contextual information input by the user
This model maps extracted medical entities to RxNorm codes using chunk embeddings, and has faster load time, with a speedup of about 6X when compared ...
Named Entity recognition annotator allows for a generic model to be trained by utilizing a deep learning algorithm (Char CNNs - BiLSTM - CRF - word em ...
This ML model is used to predict if a member will respond to outreach campaign. It helps prioritise members who are more likely to respond to an outre ...
Centre for Medicare and Medicaid Services (CMS) is a governing body in United States that administers the nation's major healthcare program. To detect ...
The effective management of patient hospital stays is one of the most challenging yet paramount priorities of modern healthcare systems For this anal ...
When collecting sensitive information from groups or organization, it is highly important to maintain an individual's privacy. A formalization of priv ...
Predict the STAR rating cut-offs for all measures and provide projected STAR rating for contracts.
It’s a common task in healthcare to extract different entities from the medical records. This is a pretrained NER DL model for clinical terminology. T ...
Healthcare is a major industry in the U.S. with both private and government run programs. Healthcare fraud is a main problem that causes substantial m ...