SYSTEMS AND METHODS FOR CONFIGURING AND OPERATING DE-IDENTIFICATION SYSTEMS

    公开(公告)号:US20240028762A1

    公开(公告)日:2024-01-25

    申请号:US18026641

    申请日:2021-09-15

    CPC classification number: G06F21/6254 G16H10/60 G06F3/0482

    Abstract: Systems, devices, and methods of configuring and operating a de-identification system are provided. At least one electronic data model is maintained, which includes a plurality of de-identification requirements for removing personal information from clinical data obtained in a clinical environment, the plurality of de-identification requirements including requirements applicable to at least one jurisdiction of a plurality of jurisdictions. An identifier identifying one of the jurisdictions is received. The data model is traversed to determine a subset of the de-identification requirements applicable to the identified jurisdiction. Data defining a user selection of operating parameters of the de-identification system are received. The user selection is analyzed for conformity with the subset of de-identification requirements. In response to determining the user selection conforms with the subset of de-identification requirements, a signal is generated indicating the conformity. A configuration data structure is generated including data reflective of the user selection of operating parameters.

    SYSTEM AND METHOD FOR BIOMETRIC DATA CAPTURE FOR EVENT PREDICTION

    公开(公告)号:US20210076966A1

    公开(公告)日:2021-03-18

    申请号:US17035417

    申请日:2020-09-28

    Abstract: A computer implemented system for automatically recording and generating predictive outputs relating to a medical procedure is described. The system is augmented with biometric sensory data from a biometric sensor coupled to a body of a healthcare practitioner. The biometric sensory data is processed to obtain one or more time-synchronized data objects providing a proxy to an estimated stress level associated with the healthcare practitioner, and the one or more time-synchronized data objects are utilized to identify abnormality-related durations of time encapsulated in the form of time-based metadata tags. The time-based metadata tags are utilized to automatically modify characteristics of the recording or generating of predictive outputs to temporarily consume more computational processing resources during the abnormality-related durations of time.

    SYSTEM AND METHOD FOR COMPUTER PREDICTION USING VOICE AND SOUND

    公开(公告)号:US20250166617A1

    公开(公告)日:2025-05-22

    申请号:US18954493

    申请日:2024-11-20

    Abstract: A local machine learning based recording and audio transcribing system is proposed that operates in real-time in parallel and time-synchronized with a operating theatre recorder system, modifying encoding of the operating theatre recorder system outputs for generation of the pre-processed recording files to be transmitted to a remote cloud-based processing backend using operating a centralized machine learning model data architecture across a network. By modifying the recording or the generation of the pre-processed recording files, the system can be tuned for providing increased signal resolution at more relevant portions of time or frame portions to improve the accuracy and predictive capability of a backend machine learning model that is configured for operation using the pre-processed recording files while adapting for practical network bandwidth and computing resource limitations in cloud-based implementations.

Patent Agency Ranking