US 11,923,057 B2
Method and system using artificial intelligence to monitor user characteristics during a telemedicine session
Steven Mason, Las Vegas, NV (US); Daniel Posnack, Fort Lauderdale, FL (US); Peter Arn, Roxbury, CT (US); Wendy Para, Las Vegas, NV (US); S. Adam Hacking, Nashua, NH (US); Micheal Mueller, Oil City, PA (US); Joseph Guaneri, Merrick, NY (US); and Jonathan Greene, Denver, CO (US)
Assigned to ROM Technologies, Inc., Brookfield, CT (US)
Filed by ROM TECHNOLOGIES, INC., Brookfield, CT (US)
Filed on Aug. 23, 2021, as Appl. No. 17/409,432.
Application 17/409,432 is a continuation of application No. 17/147,439, filed on Jan. 12, 2021, granted, now 11,101,028.
Application 17/147,439 is a continuation in part of application No. 17/021,895, filed on Sep. 15, 2020, granted, now 11,071,597, issued on Jul. 27, 2021.
Claims priority of provisional application 63/088,657, filed on Oct. 7, 2020.
Claims priority of provisional application 62/910,232, filed on Oct. 3, 2019.
Prior Publication US 2021/0383909 A1, Dec. 9, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 20/00 (2018.01); G06F 3/01 (2006.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01)
CPC G16H 20/00 (2018.01) [G06F 3/011 (2013.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented system, comprising:
an electromechanical machine configured to be manipulated by a user while the user is performing a treatment plan;
a patient interface comprising an output device configured to present information; and
a first computing device configured to:
receive treatment data pertaining to the user while the user uses the electromechanical machine to perform the treatment plan, wherein the treatment data comprises at least one of characteristics of the user, baseline measurement information pertaining to the user, measurement information pertaining to the user while the user performs the treatment plan, characteristics of the electromechanical machine, and at least one aspect of the treatment plan;
generate, via an artificial intelligence engine, at least one prediction, wherein the artificial intelligence engine uses at least one aspect of the treatment data;
receive, from the artificial intelligence engine, the at least one prediction;
identify a threshold corresponding to the at least one prediction; and
in response to a determination that the at least one prediction is outside of a range of the threshold, update the treatment data pertaining to the user to indicate the at least one prediction and use the updated treatment data to change an operating parameter and/or one or more characteristics of the electromechanical machine.