IQVIA has been granted a patent for a system and method that uses a computing device to determine a reduced cohort criteria from a patient database. The method involves querying patient records based on selection criteria, synthesizing permutations, and outputting the subset criteria that meet specific thresholds. GlobalData’s report on IQVIA gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on IQVIA, was a key innovation area identified from patents. IQVIA's grant share as of May 2024 was 28%. Grant share is based on the ratio of number of grants to total number of patents.
Method to determine reduced cohort criteria from patient data
A recently granted patent (Publication Number: US12009069B2) discloses a computing-device implemented method that involves querying patient records to identify a control set of records meeting specific multi-dimensional patient selection criteria. The method includes synthesizing all possible permutations of these criteria by iteratively searching patient records with progressively larger subsets of criteria to identify interim sets that deviate from the control set by a predefined threshold. The output provides the subset of criteria where the difference exceeds the threshold, aiding in precise patient record selection.
Furthermore, the patent includes an apparatus with a processor and memory configured to execute the method described above. The apparatus can search patient records with multiple orderings of subsets of selection criteria, including sociodemographic factors, clinical factors, and laboratory data. The processor and memory are designed to identify deviations from the control set by comparing interim sets of patient records, providing valuable insights for healthcare professionals. Additionally, a non-transitory computer-readable medium encoded with a program is included, enabling processors to query patient records, synthesize permutations of selection criteria, and output subsets where differences exceed the threshold. This innovative approach enhances the efficiency and accuracy of patient record selection, potentially revolutionizing healthcare data analysis and decision-making processes.
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