DATA-DRIVEN PERFORMANCE BASED SYSTEM FOR ADAPTING ADVANCED EVENT DETECTION ALGORITHMS TO EXISTING FRAMEWORKS

• Main Authors: ESHELMAN Larry James, CARLSON Eric Thomas
• Format: Patent
• Language: English
• Published: 28.09.2017
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

An early warning system for patient monitoring includes one or more patient monitors (620) configured to generate patient physiological data, a patient database (602) storing patient physiological measurements and outcomes, and one or more computer processors (604) programmed to: machine learn an Aggregate Weighted Track and Trigger System (AWTTS) algorithm for quantifying patient condition by an AWTTS score based on a training set of the patient physiological measurements and outcomes; apply an Early Warning Score or Modified Early Warning Score (EWS) algorithm to patient physiological measurements to generate EWS scores; apply the machine-learned AWTTS algorithm to the patient physiological measurements to generate AWTTS scores; and create a mapping between the AWTTS scores and the EWS scores.