PIECES™

A software system developed at Parkland's Center for Clinical Innovation, PIECES has been tested, improved, and used at Parkland Health & Hospital System since 2009. PIECES is an electronic coordination and clinical decision support system that sifts through a hospital’s electronic medical record (EMR) data in real time to:

• Identify patients with specific illnesses, using natural language processing (NLP);
• Employ electronic predictive models to assist providers in anticipating adverse clinical events;
• Assist physicians, nurses, and administrators in complex decision making; and
• Coordinate and monitor clinical and operational action plans at the individual patient and population levels.

 

The Gordon and Betty Moore Foundation

"Automating Identification of Patients at a High Risk for Readmission"
As part of a project funded by the Gordon and Betty Moore Foundation, PCCI is transforming PIECES into a robust generalizable and exportable software platform that can operate with any EMR system.The development of PIECES will also include a machine learning component.
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PIECES™ for Information Exchange

PIECES is being designed to run on information exchanges to summarize vast quantities of data into precise summaries of risk for use in both clinical and social service sectors. This process will ultimately help users prioritize, manage, and effectively use the large volume of new information available through health information exchanges.