OPERATING ROOM BLACK-BOX DEVICE, SYSTEM, METHOD AND COMPUTER READABLE MEDIUM FOR EVENT AND ERROR PREDICTION
First Claim
Patent Images
1. A system for collecting and processing medical or surgical data comprising:
- a plurality of hardware units for collecting real-time medical or surgical data streams having a control interface coupled by a network to cameras, sensors, audio devices, and patient monitoring hardware, the real-time medical or surgical data streams relating to a real-time medical procedure within an operating or clinical site;
an encoder with a network server for synchronizing and recording the real-time medical or surgical data streams to a common clock or timeline to generate a session container file;
the network server configured to control a multi-nodal perception engine to;
generate a protocol for data extraction from the session container file;
process the data using the protocol to extract patterns for time-stamped clinical events within the session container file, each time-stamped clinical event associated with a confidence level;
generate an interface indicator for a temporal sequence of the time-stamped clinical events within the session container file and error assessments, the interface indicator identifying each of the time-stamped clinical events and the associated confidence levels; and
generate a predictive data model for refining protocol generation using support vector machines or artificial intelligence network data structures with neural networks for modelling correlation of data for interference and feature extraction.
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Abstract
A multi-channel recorder/encoder for collecting, integrating, synchronizing and recording medical or surgical data received as independent live or real-time data streams from a plurality of hardware units. The medical or surgical data relating to a live or real-time medical procedure. Example hardware units include a control interface, cameras, sensors, audio devices, and patient monitoring hardware. Further example systems may include a cloud based platform incorporating the encoder.
308 Citations
41 Claims
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1. A system for collecting and processing medical or surgical data comprising:
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a plurality of hardware units for collecting real-time medical or surgical data streams having a control interface coupled by a network to cameras, sensors, audio devices, and patient monitoring hardware, the real-time medical or surgical data streams relating to a real-time medical procedure within an operating or clinical site; an encoder with a network server for synchronizing and recording the real-time medical or surgical data streams to a common clock or timeline to generate a session container file; the network server configured to control a multi-nodal perception engine to; generate a protocol for data extraction from the session container file; process the data using the protocol to extract patterns for time-stamped clinical events within the session container file, each time-stamped clinical event associated with a confidence level; generate an interface indicator for a temporal sequence of the time-stamped clinical events within the session container file and error assessments, the interface indicator identifying each of the time-stamped clinical events and the associated confidence levels; and generate a predictive data model for refining protocol generation using support vector machines or artificial intelligence network data structures with neural networks for modelling correlation of data for interference and feature extraction. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 34, 35, 36, 37, 38, 39, 40, 41)
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14. A multi-channel encoder for collecting, integrating, synchronizing and recording medical or surgical data streams onto a single interface with a common timeline or clock, the medical or surgical data streams received as independent real-time or live data streams from a plurality of hardware units, the encoder having a network server for scheduling transmission of session file containers for the recordings, the encoder processing the medical or surgical data streams to generate measurement metrics relating to a real-time medical procedure, the encoder configured to generate a protocol for data extraction from the session container file;
- process the data using the protocol to define patterns for time-stamped clinical events within the session container file;
generate an interface indicator for a visual sequence of the time-stamped clinical events within the session container file and correspondence assessments;
generate a predictive data model for refining protocol generation using support vector machines or artificial intelligence network data structures. - View Dependent Claims (15, 16, 17, 18)
- process the data using the protocol to define patterns for time-stamped clinical events within the session container file;
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19. A method for collecting and processing medical or surgical data comprising:
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receiving, at a multi-channel encoder, a plurality of live or real-time independent input feeds from one or more data capture devices located in an operating room or other patient intervention area, the input feeds relating to a live or real-time medical procedure; synchronizing, by the encoder, the plurality of live independent input feeds onto a single interface with a common timeline or clock; recording the synchronized input feeds using a network server; generating, by the encoder, an output session file using the synchronized input feeds; transmitting the output session file using the network server; generating a protocol for data extraction from the session container file; processing the data using the protocol to define patterns for time-stamped clinical events within the session container file; generating an interface indicator for a visual sequence of the time-stamped clinical events within the session container file and correspondence assessments; and generating a predictive data model for refining protocol generation using support vector machines or artificial intelligence network data structures. - View Dependent Claims (20, 21)
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22. A cloud based system for collecting and processing medical or surgical data comprising:
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an encoder having a control interface for, in response to receiving a control command, triggering collection of real-time medical or surgical data streams by smart devices including cameras, sensors, audio devices, and patient monitoring hardware, the medical or surgical data relating to a real-time medical procedure within an operating or clinical site, the encoder for authenticating the smart devices, the smart devices synchronizing the real-time medical or surgical data streams by embedding timestamp markers within the real-time medical or surgical data streams, the timestamp markers generated by each smart device by a device clock; a media management hub server with middleware and hardware for translating, connecting, formatting, and recording the real-time medical or surgical data streams to generate session container files on network accessible storage devices; wireless network infrastructure to provide a secure network connection between the encoder, the smart devices and the media management hub server for communication of the real-time medical or surgical data streams; a central content server for storing and distributing the session container files and providing a two-way communication interface for the media management hub to implement a file transfer handshake for the session container files, the central content server configured to; generate a protocol for data extraction from the session container file; process the data using the protocol to define patterns for time-stamped clinical events within the session container file; generate an interface indicator for a visual sequence of the time-stamped clinical events within the session container file and correspondence assessments; generate a predictive data model for refining protocol generation using support vector machines or artificial intelligence network data structures; and switching or gateway hardware to transmit the session container files from the media management hub to the central content server. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
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Specification