MACHINE LEARNING MODEL AUTOMATION OF USER INTERFACE TRANSFORMATION

• Main Authors: Shah, Pritesh J, Kuang, Jiawei, Markson, Christopher R, Widmer, Keith L, Boppana, Adithya Chowdary
• Format: Patent
• Language: English
• Published: 23.11.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; 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

A system includes memory hardware storing processor-executable instructions, a persona, and a data structure associated with the persona. Processor hardware executes the processor-executable instructions. The instructions include generating a graphical user interface and, in response to a first condition, inputting a first set of explanatory variables to a first trained machine learning model to generate a first metric and transforming the graphical user interface according to the persona and the first metric. The instructions include, in response to a second condition, inputting a second set of explanatory variables to a second trained machine learning model to generate a second metric and transforming the graphical user interface according to the persona and the second metric. The first trained machine learning model is different from the second trained machine learning model. The instructions include automatically approving a first prior authorization prescription in response to the first metric reaching a threshold value.