Methods for evaluating clinical comparative efficacy using real-world health data and artificial intelligence

• Main Authors: Sahota, Herman, Alves, Paula, Giampanis, Stefanos, Norgeot, Beau, Bernal, Axel, Lissak, Rachel, Kale, Rajas, Guggemos, Nicholas, Samuel, Bobby, Belthangady, Chinmay, Goldstein, Theodore, Stedden, William
• Format: Patent
• Language: English
• Published: 30.01.2024
• 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

Systems and methods for evaluating clinical comparative efficacy using real-world health data are provided herein. The method includes obtaining health trajectories for members of a healthcare system. The method also includes identifying index events in the health trajectories, and segmenting the health trajectories with index events into sub-trajectories such that each sub-trajectory ends at a different index event. The method also includes generating a digital fingerprint for each sub-trajectory by either (i) generating a raw data vector, or (ii) applying representation learning to generate an embedding vector. The method also includes identifying sub-trajectories that are similar to a patient sub-trajectory by either (i) performing a stratified search, or (ii) performing a nearest-neighbor search on the embedding vectors of the members. The method also includes ranking treatment strategies for the patient based on outcomes of the treatment strategies, according to the identified similar sub-trajectories.