US 12,009,093 B2
Systems and methods for determination of patient true state for risk management
John O. Schneider, Los Gatos, CA (US); Vishnuvyas Sethumadhavan, Mountain View, CA (US); Darren Matthew Schulte, San Francisco, CA (US); and Robert Derward Rogers, Oakland, CA (US)
Assigned to APIXIO, LLC, San Mateo, CA (US)
Filed by Apixio, LLC, San Mateo, CA (US)
Filed on Oct. 11, 2022, as Appl. No. 17/963,849.
Application 17/963,849 is a continuation of application No. 16/785,273, filed on Feb. 7, 2020, granted, now 11,468,981, issued on Oct. 11, 2022.
Application 16/785,273 is a continuation of application No. 14/672,206, filed on Mar. 29, 2015, granted, now 10,614,915, issued on Apr. 7, 2020.
Application 14/672,206 is a continuation in part of application No. 14/538,798, filed on Nov. 11, 2014, granted, now 10,580,520, issued on Mar. 3, 2020.
Application 14/672,206 is a continuation in part of application No. 14/498,594, filed on Sep. 26, 2014, granted, now 10,600,504, issued on Mar. 24, 2020.
Application 14/538,798 is a continuation in part of application No. 13/656,652, filed on Oct. 19, 2012.
Application 13/656,652 is a continuation in part of application No. 13/223,228, filed on Aug. 31, 2011, granted, now 10,176,541, issued on Jan. 8, 2019.
Claims priority of provisional application 62/059,139, filed on Oct. 2, 2014.
Claims priority of provisional application 61/883,967, filed on Sep. 27, 2013.
Claims priority of provisional application 61/682,217, filed on Aug. 11, 2012.
Claims priority of provisional application 61/379,228, filed on Sep. 1, 2010.
Prior Publication US 2023/0170080 A1, Jun. 1, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 40/20 (2018.01); G06Q 10/0631 (2023.01); G06Q 10/0635 (2023.01); G06Q 10/10 (2023.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01)
CPC G16H 40/20 (2018.01) [G06Q 10/0631 (2013.01); G06Q 10/0635 (2013.01); G06Q 10/10 (2013.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A health information system comprising:
a first pass analyzer in communication with at least one processor, wherein the at least one processor causes the first pass analyzer to:
infer a true state for a patient by applying a predictive model to medical concepts of a plurality of medical records for the patient, wherein the inferred true state is a condition of the patient; and
classify each of at least one coder finding into one of at least three confidence groups by cross-referencing the inferred true state with the at least one coder finding; and
a data warehouse manager in communication with the at least one processor, wherein the at least one processor causes configured to:
generate a structured data set including data values corresponding to the inferred true state and each classified coder finding with the respective confidence group, the structured data set enabling presentation at least one of (a) one or more of the data values in the form of a link to the plurality of medical records or (b) one or more annotations when the plurality of medical records include the one or more annotations; and
present the structured data set to a user.