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US 11,232,856 B2Granted
Methods for automatic cohort selection in epidemiologic studies and clinical trials
AssigneeEngooden Health Inc.
InventorsNeel Master, Peeyush Kumar
Life of this patent
Estimating the term…
Abstract
Generally, the method provides an interface for clinical research organizations to estimate, in real-time, an eligible patient population for a clinical study, as well as a point-of-care interface that can alert patients of their eligibility in a clinical study. Thus, the method provides improved identification of clinical cohorts and can quickly match patients with clinical studies that fit their medical needs.
Claims10
A method for selecting a cohort for a clinical study, comprising:
- accessing from an electronic health record database, an unstructured electronic health record for each patient in a population of patients;
- for each patient in the population of patients:
- transforming the associated unstructured electronic health records of the patient into a patient graph, the patient graph representing a set of clinical concepts and corresponding semantic roles for the patient;
- and
- appending the patient graph to a set of patient graphs;
- at a clinical research interface, recording a first set of inclusion and exclusion criteria;
- transforming the first set of inclusion and exclusion criteria into a first target graph representing a first set of target clinical concepts for the clinical study;
- for each patient in the population of patients, in response to alignment between the patient graph of the patient and the first target graph, appending the patient to a first subpopulation of patients;
- rendering a first representation of the first subpopulation of patients within the clinical research interface;
- at the clinical research interface, recording a second set of inclusion and exclusion criteria;
- transforming the first set of inclusion and exclusion criteria and the second set of inclusion and exclusion criteria into a second target graph for the clinical study;
- for each patient in the population of patients, in response to alignment between the patient graph of the patient and the second target graph, appending the patient to a second subpopulation of patients;
- rendering a second representation of the second subpopulation of patients within the clinical research interface;
- recording a selection of a potential clinical cohort from the second subpopulation of patients;
- in response to access of a particular electronic health record of a particular patient included in the potential clinical cohort at a point-of-care interface, rendering a visual indicator of the particular patient's eligibility for the clinical study within the point-of-care interface;
- at the point-of-care interface, recording a first interaction with the visual indicator;
- and
- in response to recording the first interaction with the visual indicator, enrolling the particular patient in the clinical study,
- wherein the method further comprises:
- ingesting a corpus of medical data;
- and
- generating a universal graph based on the corpus of medical data;
- wherein transforming the associated unstructured electronic health records of the patient into the patient graph, comprises transforming the associated unstructured electronic health records of the patient into the patient graph based on the universal graph, the patient graph representing the set of clinical concepts and the corresponding semantic roles for the patient;
- wherein transforming the first set of inclusion and exclusion criteria into the first target graph comprises transforming the first set of inclusion and exclusion criteria into the first target graph, based on the universal graph, the first target graph representing the first set of target clinical concepts for the clinical study;
- and
- wherein transforming the first set of inclusion and exclusion criteria and the second set of inclusion and exclusion criteria into the second target graph for the clinical study comprises transforming the first set of inclusion and exclusion criteria and the second set of inclusion and exclusion criteria into the second target graph for the clinical study based on the universal graph.
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Dependencies are inferred from the claim text.