SYSTEMS AND METHODS FOR USING MACHINE LEARNING ALGORITHMS TO IDENTIFY CARE GAPS

    公开(公告)号:US20240170154A1

    公开(公告)日:2024-05-23

    申请号:US17992755

    申请日:2022-11-22

    申请人: Aetna Inc.

    IPC分类号: G16H50/30 G16H10/60 G16H20/00

    CPC分类号: G16H50/30 G16H10/60 G16H20/00

    摘要: In some instances, a method is provided. The method comprises obtaining one or more care gap machine learning-artificial intelligence (ML-AI) models; obtaining individual information of an individual, wherein the individual information indicates one or more medical conditions of the individual and personal information of the individual; determining care gap information of the individual based on using the one or more care gap ML-AI models and the individual information, wherein the care gap information indicates one or more predictions for expectancy of a care gap of the individual, and wherein the care gap is associated with a gap in time that the individual has a lapse in receiving medical care for the one or more medical conditions; and performing one or more care gap interventions based on the care gap information.

    SYSTEMS AND METHODS FOR DETERMINING AND USING HEALTH CONDITIONS BASED ON MACHINE LEARNING ALGORITHMS AND A SMART VITAL DEVICE

    公开(公告)号:US20230360796A1

    公开(公告)日:2023-11-09

    申请号:US18221500

    申请日:2023-07-13

    申请人: Aetna Inc.

    发明人: Dwayne Kurfirst

    摘要: In some instances, the disclosure provides a method performed by a smart vital device. The method comprises receiving sensor information indicating one or more health characteristics associated with an individual, wherein the sensor information comprises audio information indicating audio signals from a surrounding environment and temperature information indicating temperature readings from the surrounding environment, determining one or more health audio characteristics of the individual based on inputting the audio signals into one or more health condition machine learning datasets, determining one or more health temperature characteristics of the individual based on the temperature readings from the surrounding environment, determining one or more health conditions of the individual based on the one or more health audio characteristics and the one or more health temperature characteristics, and outputting the one or more health conditions of the individual.

    Systems and methods for managing and updating contextual intelligent processes using artificial intelligence algorithms

    公开(公告)号:US11651855B2

    公开(公告)日:2023-05-16

    申请号:US16850820

    申请日:2020-04-16

    申请人: Aetna Inc.

    IPC分类号: G16H40/67 G16H20/00 G06N5/02

    CPC分类号: G16H40/67 G16H20/00 G06N5/02

    摘要: In some instances, the disclosure provides a method for managing and updating contextual intelligent processes using artificial intelligence algorithms. The method comprises obtaining, from a user device, health information indicating a health triggering event associated with a user, obtaining event information associated with the user, determining, based on the health triggering event, one or more contextual intelligent processes for the health triggering event, retrieving one or more contextual artificial intelligence datasets, updating the one or more contextual intelligent processes with at least one new service based on inputting the health triggering event, the event information, and the one or more contextual intelligent processes into the one or more contextual artificial intelligence datasets, and performing the one or more updated contextual intelligent processes.

    Hierarchical data searching using tensor searching, fuzzy searching, and Bayesian networks

    公开(公告)号:US11468078B2

    公开(公告)日:2022-10-11

    申请号:US17375630

    申请日:2021-07-14

    申请人: Aetna Inc.

    发明人: Daniel Carroll

    摘要: Methods and systems for performing a search over hierarchical data are provided. The method may be performed by a server comprising a processor and memory. The method includes receiving a query string from a user device. The query string is searched for via a tensor search of a graph structure to determine node tensor distance score for each node in the graph structure. The query string is searched for via a fuzzy search of the graph structure to determine node fuzzy distance score for each node in the graph structure. Nodes with relevant scores are determined by updating a Bayesian network representation with evidence based on the node tensor distance scores and the node fuzzy distance scores of each node. Relevant data from the nodes is sent with relevant scores to the user device.

    SYSTEMS AND METHODS FOR DETERMINING WHETHER AN INDIVIDUAL IS SICK BASED ON MACHINE LEARNING ALGORITHMS AND INDIVIDUALIZED DATA

    公开(公告)号:US20220189591A1

    公开(公告)日:2022-06-16

    申请号:US17119982

    申请日:2020-12-11

    申请人: Aetna Inc.

    摘要: In some instances, a user device for determining whether an individual is sick is provided. The user device is configured to obtain a facial image of an individual; obtain an audio file comprising a voice recording of the individual; determine a facial recognition confidence value associated with whether the individual is sick based on inputting the facial image into a facial recognition machine learning dataset that is individualized for the individual; determine a voice recognition confidence value associated with whether the individual is sick based on inputting the audio file into a voice recognition machine learning dataset that is individualized for the individual; determine whether the individual is sick based on the facial recognition confidence value and the voice recognition confidence value; and causing display of a prompt indicating whether the individual is sick.

    Automated web testing framework for generating and maintaining test scripts

    公开(公告)号:US11138097B2

    公开(公告)日:2021-10-05

    申请号:US16580609

    申请日:2019-09-24

    申请人: Aetna Inc.

    IPC分类号: G06F11/36

    摘要: Methods for generating and maintaining test scripts for automated web testing are provided. A method for generating test scripts includes: receiving a series of steps defining a procedure; linking keywords in the series of steps with functional objects; dynamically arranging the functional objects according to the series of steps; generating the test scripts from the arranged functional objects; and sending the test scripts to a testing manager. A method for maintaining test scripts includes: determining a change in steps of metadata; identifying a position within a test script affected by the change in steps; updating row(s) within the test script based on the change in steps; and providing the test script to the testing manager. Embodiments of the disclosure enable a codeless automated web-testing framework based on a non-recording approach, which avoids manual coding or recording of test scripts, thereby accelerating website system testing and reducing associated time and costs.

    Systems and methods for managing workflow transactions including protected personal data in regulated computing environments

    公开(公告)号:US11102187B2

    公开(公告)日:2021-08-24

    申请号:US16280881

    申请日:2019-02-20

    申请人: Aetna Inc.

    摘要: Systems, methods, and software are disclosed for managing workflow transactions including protected personal data (PPD) in regulated computing environments. The method includes determining, by a first application, that a record of a first network group includes PPD; transmitting, by the first application, a packet to an encryption logging service application in response to determining that the record includes the PPD; encrypting, by the encryption logging service application, the PPD payload and a data identification record; transmitting, by the encryption logging service application: the encrypted PPD payload, the encrypted data identification record, and an unencrypted header, to a system log database; decrypting, by the encryption logging service application, the encrypted PPD payload in response to a query of a system log database by a second network group for data contained in the unencrypted header; and transmitting, by the encryption logging service application, the decrypted PPD payload to the second network group.