US 12,237,058 B2
AI-enhanced, user programmable, socially networked system
Thomas Wilkinson, Avenue, MD (US)
Assigned to The Government of the United States of America, represented by the Secretary of Homeland Security, Washington, DC (US)
Filed by The Government of the United States of America, as represented by the Secretary of Homeland Security, Washington, DC (US)
Filed on Jan. 17, 2024, as Appl. No. 18/414,703.
Application 18/414,703 is a continuation of application No. 17/701,933, filed on Mar. 23, 2022, granted, now 11,908,555.
Claims priority of provisional application 63/164,659, filed on Mar. 23, 2021.
Prior Publication US 2024/0185971 A1, Jun. 6, 2024
Int. Cl. G16H 10/60 (2018.01); G06F 16/20 (2019.01); G06F 16/25 (2019.01); G06F 17/40 (2006.01); G06F 21/62 (2013.01); G06Q 10/00 (2023.01); G06Q 90/00 (2006.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 80/00 (2018.01)
CPC G16H 10/60 (2018.01) [G06F 16/20 (2019.01); G06F 16/25 (2019.01); G06F 16/254 (2019.01); G06F 17/40 (2013.01); G06F 21/6245 (2013.01); G06Q 10/00 (2013.01); G06Q 90/00 (2013.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 80/00 (2018.01)] 30 Claims
OG exemplary drawing
 
1. A system comprising a computer containing tangible computer readable data storage configured to store electronic personal health information and electronic source specific permission and conditions data; a tangible computer memory configured to store computer readable instructions; a network interface that facilitates communication between a first data provider and a multi-source health data integration logic; and a microprocessor that executes the computer readable instructions; the computer readable instructions causes the microprocessor to execute:
a data source comprising a data provider and multi-source health data integration logic;
a staging database comprising staged records; the staging database configured to receive data from the data source through a data pipeline;
an analytics and AI engine comprising a neural network, data plot generator, and integrated phenotype reference model;
the data source configured to receive data from analytics and artificial intelligence (AI) engine through a primary data requirements feedback loop;
the primary data feedback loop provides data from the analytics and artificial intelligence (AI) engine to the data source;
the data source adjusts its primary data based on the primary data requirements feedback loop;
an access interface that provides access to the integrated phenotype reference model; the access interface configured to receive actionable information from the analytics and artificial intelligence engine;
an interoperability mapper that maps data from the staging database using at least one of an automated mapping process or a manual mapping process;
the analytics and artificial intelligence engine receives and provides feedback regarding data mapped for interoperability to and from the interoperability mapper;
the data source further comprising data preparation logic receives data back from the analytics and artificial intelligence engine through a nested sovereignty feedback loop; the nested sovereignty feedback loop provides data from the analytics and artificial intelligence engine to the data preparation logic;
the interoperability mapper configured to receive data back from the access interface through a feature engineering requirements feedback loop; the feature engineering requirements feedback loop configured to provide data from the access interface to the interoperability mapper;
the analytics and artificial intelligence engine configured to receive data back from the access interface through a utilization patterns feedback loop;
utilization patterns feedback loop configured to provide data from the access interface to the analytics and artificial intelligence engine;
the analytics and artificial intelligence engine adjusts neural network settings based on the utilization patterns;
the data source configured to receive data back from the analytics and artificial intelligence through the feature engineering requirements feedback loop; and
the data source adjusts data elements included in provided records based on the feature engineering requirements.