Patent Issued for System or method for real-time analysis of remote health data aggregated with vital signs to provide remote assistance (USPTO 11837361): Aetna Inc.

2023 DEC 22 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Aetna Inc. (Hartford, Connecticut, United States) has been issued patent number 11837361, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors.

The patent’s inventors are Bachman, Alan (Hartford, CT, US), Behuria, Ajay (Hartford, CT, US), Cevoli, Anthony J. (Hartford, CT, US), Marulachary, Vatsamanu (Hartford, CT, US).

This patent was filed on February 28, 2020 and was published online on December 5, 2023.

From the background information supplied by the inventors, news correspondents obtained the following quote: “Individuals increasingly have access to complex medical devices in their homes. These devices can provide life prolonging services to patients. However, the devices can be complex and correct operation is essential to the safety and health of the individuals using them.

“Keeping a complex medical device in one’s home reduces or eliminates the need to go to doctors’ offices, hospitals and other medical provider offices. It is more convenient for individuals to remain in their homes. Additionally, depending on their condition, it may be safer for some individuals to avoid travelling.

“In addition to travelling to a medical office, some procedures can take a long time to complete. Individuals will be more comfortable in their own homes while undergoing hours long medical procedures. However, the complexity of various medical devices makes deploying them in individual homes difficult. People must be trained on their correct operation. If an issue arises during the operation of the machine, people must know first that the issue is occurring and second how to correct the issue.”

Supplementing the background information on this patent, NewsRx reporters also obtained the inventors’ summary information for this patent: “In one embodiment, the invention provides a method for analyzing care data. The method comprises building a virtual model of a physical medical device. Training is provided to a patient associated with the physical medical device to properly use the physical medical device by manipulating the virtual model. First care data associated with a first sensor associated with the physical medical device and second care data associated with a second sensor is received by a cloud service. The cloud service analyzes the first care data to obtain a first care data score and analyzes the second care data to obtain a second care data score. The cloud service scores, using a machine learning algorithm, the first care data score and the second care data score to obtain a combined care score. The cloud service determines whether the combined care score is greater than a threshold. The cloud service triggers an emergency procedure when it is determined that the combined care score is greater than the threshold.

“In another embodiment, a non-transitory computer readable medium storing instructions, that when executed by a processor, cause the processor to perform steps is provided. The steps comprise building a virtual model of a physical medical device. Training is provided to a patient associated with the physical medical device to properly use the physical medical device by manipulating the virtual model. First care data associated with a first sensor associated with the physical medical device and second care data associated with a second sensor is received by a cloud service. The first care data is analyzed to obtain a first care data score and the second care data is analyzed to obtain a second care data score. The first care data score and the second care data score are scored, using a machine learning algorithm, to obtain a combined care score. It is determined whether the combined care score is greater than a threshold. An emergency procedure is triggered when it is determined that the combined care score is greater than the threshold.

“In yet another embodiment, a device for analyzing care data is provided. The devices comprises a processor and a non-transitory computer readable medium storing instructions, that when executed by the processor, cause the processor to perform steps comprising building a virtual model of a physical medical device. Training is provided to a patient associated with the physical medical device to properly use the physical medical device by manipulating the virtual model. First care data associated with a first sensor associated with the physical medical device and second care data associated with a second sensor is received by a cloud service. The first care data is analyzed to obtain a first care data score and the second care data is analyzed to obtain a second care data score. The first care data score and the second care data score are scored, using a machine learning algorithm, to obtain a combined care score. It is determined whether the combined care score is greater than a threshold. An emergency procedure is triggered when it is determined that the combined care score is greater than the threshold.”

The claims supplied by the inventors are:

“1. A method for analyzing care data, the method comprising: building a virtual model of a physical medical device; providing training to a patient associated with the physical medical device to properly use the physical medical device by manipulating the virtual model; receiving, by a cloud service, first care data associated with a first sensor associated with the physical medical device and second care data associated with a second sensor; analyzing, by the cloud service, the first care data to obtain a first care data score; analyzing, by the cloud service, the second care data to obtain a second care data score; scoring, by the cloud service using a machine learning algorithm, the first care data score and the second care data score to obtain a combined care score; determining, by the cloud service, whether the combined care score is greater than a threshold; and triggering, by the cloud service, an emergency procedure when it is determined that the combined care score is greater than the threshold.

“2. The method of claim 1 further comprising: registering, by a cloud service, an edge computing device; connecting the edge computing device to a cloud service; receiving, by the edge computing device, the first care data from the first sensor associated with the physical medical device and second care data from the second sensor; filtering, by the edge computing device, sensitive information from the first care data and the second care data.

“3. The method of claim 1, further comprising displaying the virtual model on a graphical display, wherein the virtual model shows changes to the physical medical device in real-time.

“4. The method of claim 3, wherein the displaying is performed in response to triggering the emergency procedure.

“5. The method of claim 4, wherein the graphical display is associated with a medical professional.

“6. The method of claim 5 further comprising transmitting instructions from the medical professional to the patient associated with the physical medical device.

“7. The method of claim 5 further comprising manipulating the physical medical device by manipulating the virtual model.

“8. The method of claim 1, wherein the physical medical device provides at least one of kidney care and infusion services.

“9. The method of claim 1, wherein the virtual model is one of an augmented reality and a virtual reality model.

“10. The method of claim 1, further comprising transmitting, form the cloud service, a service for providing mixed reality to a patient device associated with the patient.

“11. The method of claim 1, further comprising initiating a voice service for interacting with a patient associated with the physical medical device.

“12. The method of claim 1, wherein the triggering an emergency procedure comprises automatically contacting a medical professional.

“13. A non-transitory computer readable medium storing instructions, that when executed by a processor, cause the processor to perform steps comprising: building a virtual model of a physical medical device; providing training to a patient associated with the physical medical device to properly use the physical medical device in response to manipulation of the virtual model; receiving first care data associated with a first sensor associated with the physical medical device and second care data associated with a second sensor to the cloud service; analyzing the first care data to obtain a first care data score; analyzing the second care data to obtain a second care data score; scoring, using a machine learning algorithm, the first care data score and the second care data score to obtain a combined care score; determining whether the combined care score is greater than a threshold; and triggering an emergency procedure when it is determined that the combined care score is greater than the threshold.

“14. The steps of claim 13, further comprising displaying the virtual model on a graphical display, wherein the virtual model shows changes to the physical medical device in real-time.

“15. The method of claim 14, wherein the displaying is performed in response to triggering the emergency procedure.

“16. The method of claim 14, wherein the graphical display is associated with a medical professional.

“17. The method of claim 16 further comprising transmitting instructions from the medical professional to the patient associated with the physical medical device.

“18. The method of claim 14 further comprising manipulating the physical medical device by manipulating the virtual model.

“19. A device for analyzing care data comprising: a processor; and a non-transitory computer readable medium storing instructions, that when executed by the processor, cause the processor to perform steps comprising: building a virtual model of a physical medical device; providing training to a patient associated with the physical medical device to properly use the physical medical device in response to manipulation of the virtual model; receiving first care data associated with a first sensor associated with the physical medical device and second care data associated with a second sensor to the cloud service; analyzing the first care data to obtain a first care data score; analyzing the second care data to obtain a second care data score; scoring, using a machine learning algorithm, the first care data score and the second care data score to obtain a combined care score; determining whether the combined care score is greater than a threshold; and triggering an emergency procedure when it is determined that the combined care score is greater than the threshold.

“20. The steps of claim 19, further comprising displaying the virtual model on a graphical display, wherein the virtual model shows changes to the physical medical device in real-time.”

For the URL and additional information on this patent, see: Bachman, Alan. System or method for real-time analysis of remote health data aggregated with vital signs to provide remote assistance. U.S. Patent Number 11837361, filed February 28, 2020, and published online on December 5, 2023. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11837361)&db=USPAT&type=ids

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