PREDICTING PERFORMANCE OF CLINICAL TRIAL FACILITATORS USING PATIENT CLAIMS AND HISTORICAL DATA

• Main Authors: Manyakov, Nikolay Vladimirovitch, Talamas, Francisco Xavier, Verstraete, Hans Roeland Geert Wim, Kip, Geoffrey Jerome
• Format: Patent
• Language: English
• Published: 20.04.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; 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 clinical trial site evaluation system applies a machine learning technique to predict recruitment performance of a candidate clinical trial facilitator (such as a clinical trial site or a clinical trial investigator) for a clinical trial based on patient claims data or other data associated with t...