US 11,742,092 B2
Health information transformation system
John Christopher Murrish, Overland Park, KS (US); Kanakasabha Kailasam, Olathe, KS (US); Douglas S. McNair, Seattle, WA (US); Michael Alan Ash, Parkville, MO (US); and Thomas Anthony Fangman, De Soto, KS (US)
Assigned to Cerner Innovation, Inc., Kansas City, MO (US)
Filed by CERNER INNOVATION, INC., Kansas City, KS (US)
Filed on Mar. 16, 2020, as Appl. No. 16/819,890.
Application 16/819,890 is a continuation of application No. 13/647,187, filed on Oct. 8, 2012, granted, now 10,628,553.
Application 13/647,187 is a continuation in part of application No. 12/982,143, filed on Dec. 30, 2010, abandoned.
Claims priority of provisional application 61/641,097, filed on May 1, 2012.
Claims priority of provisional application 61/545,023, filed on Oct. 7, 2011.
Prior Publication US 2020/0251225 A1, Aug. 6, 2020
Int. Cl. G16H 50/70 (2018.01); G06F 16/951 (2019.01); G06F 16/22 (2019.01)
CPC G16H 50/70 (2018.01) [G06F 16/2228 (2019.01); G06F 16/951 (2019.01)] 27 Claims
OG exemplary drawing
 
1. Non-transitory computer-readable storage media having computer-executable instructions embodied thereon that when executed by a processor cause the processor to implement operations for linking medical records, the operations comprising:
identifying discrete health concepts within terms extracted from raw health information, the raw health information having been received from a plurality of raw data sources having different health information formats, wherein identification of the discrete health concepts occurs during a first period of time;
mapping the discrete health concepts to a standard codified medical nomenclature comprising diagnostic codes associated with diagnostic descriptions, the discrete health concepts being mapped to the standard codified medical nomenclature by associating the diagnostic codes with corresponding discrete health concepts, wherein the diagnostic codes are identified as corresponding to the discrete health concepts using synonym mapping or ontology mapping between the discrete health concepts and the diagnostic descriptions, wherein mapping of the discrete health concepts having been identified during the first period of time is performed during a second period of time following the first period of time, and wherein the first period of time and the second period of time are determined based on an amount of the raw health information being received from the plurality of raw data sources;
identifying, based on the mapping, health records that are each associated with a same patient; and
linking the identified health records at a data repository, wherein the identified health records are selected for inclusion in the data repository by an artificial intelligence (AI) decision support model, and wherein the data repository is configured to provide a computing device with access to the identified health records of the same patient;
wherein: at least one of the identifying or the mapping includes performing by first agents concept identification on received incoming information during first times but not second times, and the first agents differ at least in part from second agents which monitor incoming health information during the second times but not the first times.