SYSTEM AND METHOD FOR PROVIDING MODEL-BASED PREDICTIONS OF ACTIVELY MANAGED PATIENTS

• Main Authors: LAUTE, Niels, TESANOVIC, Aleksandra, LLOYD, David, CAFFAREL, Jennifer
• Format: Patent
• Language: English
• Published: 12.08.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; 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; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The present disclosure pertains to a system for providing model-based predictions of actively managed patients. In some embodiments, the system (i) obtains a collection of information related to a payer-attributed population of patients associated with a provider; (ii) extracts, from the collection of information, health insurance claims data, clinical data, process data, and patient encounter data; (iii) provides the health insurance claims data, clinical data, process data, and patient encounter data to a machine learning model to train the machine learning model; (iv) causes the machine learning model to predict familiarity values associated with patients of the population of patients; and (v) generates a provider assessment based on the familiarity values and the collection of information.