Ge Precision Healthcare LLC

General Electric Company

Paul Mullen

Ruth Bergman

Omer Barkol

Sagi Schein

Ludovic Avot

Bryan Cobb

Tal Kenig

Jeffrey Hersh

David Lamb

Various devices and methods are provided for machine learning-driven medical diagnostic testing. In one example, a method includes generating a patient-specific collaboration channel comprising a patient-specific dashboard and a communication thread between a care provider team monitoring a patient and a virtual healthcare assistant, storing, at the channel, text- and/or rich media-based messages on the communication thread between one or more care providers of the care provider team and the virtual healthcare assistant, at least a portion of the messages on the communication thread including patient-specific medical data, and responsive to a prompt, outputting at least a portion of the communication thread that includes the patient-specific medical data to a display device.

Device and methods for machine learning-driven diagnostic testing

Various systems and devices are provided for facilitating communication in a healthcare setting. In one example, a system for providing medical information can include a processor that, in response to executing machine-readable instructions, can generate a patient dashboard comprising the medical information for a patient and a patient communication thread. The processor can also output the patient dashboard to a display, wherein the patient dashboard further comprises a first link proximate to a displayed parameter from the medical information and the processor can obtain communication among care providers monitoring the patient and virtual healthcare assistants configured to communicate on the communication thread. The processor can also output the communication from the care providers, the virtual healthcare assistances, or any combination thereof, in the patient communication thread of the patient dashboard provided by the display.

Devices and method for a healthcare collaboration space

Various methods and systems are provided for a healthcare provider assistance system. In one example, a system includes a machine-human interface, wherein the machine-human interface is a display, and a computing device operably coupled to the machine-human interface and configured to execute instructions stored in memory to: execute a plurality of different algorithms in complementary, competitive, or aggregated modes, where inputs to each of the plurality of different algorithms include current and past data representing a health and current condition of a patient; output, to the machine-human interface, a list of a first number of possible diagnoses of the patient based on outputs of the executed plurality of different algorithms; and present, via the machine-human interface, suggested next actions to narrow down the first number of possible diagnoses, the suggested next actions determined based on the outputs of the executed plurality of different algorithms.

Method and systems for a healthcare provider assistance system

Growing community of inventors

Waukesha, WI, United States of America

Paul Mullen