US 11,875,903 B2
Method and process for predicting and analyzing patient cohort response, progression, and survival
Jeff Schaeffer, Chicago, IL (US); Hailey Lefkofsky, Chicago, IL (US); Carin Fishel Queen, Chicago, IL (US); and Abigail Lammers, Chicago, IL (US)
Assigned to Tempus Labs, Inc., Chicago, IL (US)
Filed by Tempus Labs, Inc., Chicago, IL (US)
Filed on Aug. 30, 2021, as Appl. No. 17/461,986.
Application 17/461,986 is a continuation in part of application No. 16/732,168, filed on Dec. 31, 2019.
Claims priority of provisional application 62/786,739, filed on Dec. 31, 2018.
Prior Publication US 2022/0044826 A1, Feb. 10, 2022
Int. Cl. G16H 50/70 (2018.01); G16H 10/60 (2018.01); G06F 18/22 (2023.01); G16H 50/20 (2018.01); G06N 20/00 (2019.01); G06F 17/18 (2006.01); G16H 30/00 (2018.01); G16H 80/00 (2018.01); G06F 21/60 (2013.01); G06F 21/62 (2013.01); G06F 18/24 (2023.01); G06F 18/214 (2023.01); G06N 5/01 (2023.01)
CPC G16H 50/70 (2018.01) [G06F 17/18 (2013.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06F 21/604 (2013.01); G06F 21/62 (2013.01); G06N 5/01 (2023.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 30/00 (2018.01); G16H 50/20 (2018.01); G16H 80/00 (2018.01)] 19 Claims
OG exemplary drawing
 
1. A method of permitting a user to select a cohort of health information, the method comprising:
causing filter criteria to be displayed at a user interface, the filter criteria comprising at least one of modality data, demographic data, assessment data, diagnosis data, next-generation sequencing (NGS) data, molecular data, treatment data, or outcome data;
receiving, at the user interface, selected criteria from a user, the selected criteria comprising at least a portion of the filter criteria;
identifying health information associated with a cohort of subjects that meets the selected criteria from at least one health information source, the health information comprising, for each subject, subject information associated with the subject and comprising populated values for a number of features distinct from the selected criteria and comprising a subset of a predetermined set of features;
aggregating the health information corresponding to the subset of features to a single database table in a computer system;
determining, using the single database table, a plurality of data completeness measures for a cohort of subjects, the plurality of data completeness measures corresponding to a plurality of the subset of features, wherein each data completeness measure measures a number of subjects having entries stored in fields in the database table that are associated with a corresponding feature, and wherein the user does not have access to at least some of the health information stored in the database table and corresponding to the data completeness measures;
generating a plurality of visualizations at the user interface, each of the plurality of visualizations displaying a corresponding one of the plurality of data completeness measures,
wherein at least one visualization of the plurality of visualizations is configured to be selectable by the user, wherein, in response to a user selection of one or more of the at least one visualizations, the cohort of subjects is filtered to include only a subset of subjects corresponding to the data completeness measure determined from the single database table and corresponding to the at least one visualization; and
provisioning, to the user, subject data from the subset of subjects.