US 12,383,197 B1
Systems and methods for monitoring medication effectiveness
Sara Ross-Howe, Campbellville (CA); Vesal Badee, Kitchener (CA); Lamiaa Amzil, Cambridge (CA); and Robert Kaul, Brooklyn, NY (US)
Assigned to Cloud Dx, Inc., Brooklyn, NY (US)
Filed by Cloud Dx, Inc., Brooklyn, NY (US)
Filed on Jan. 15, 2024, as Appl. No. 18/412,967.
Application 18/412,967 is a continuation of application No. 18/190,633, filed on Mar. 27, 2023, granted, now 11,872,053.
Application 18/190,633 is a continuation in part of application No. 16/673,611, filed on Nov. 4, 2019, granted, now 11,612,352.
Application 16/673,611 is a continuation in part of application No. 16/036,551, filed on Jul. 16, 2018, granted, now 10,893,837, issued on Jan. 19, 2021.
Application 16/673,611 is a continuation in part of application No. 15/954,250, filed on Apr. 16, 2018, granted, now 10,463,299, issued on Nov. 5, 2019.
Application 16/036,551 is a continuation in part of application No. 15/060,514, filed on Mar. 3, 2016, granted, now 9,946,844, issued on Apr. 17, 2018.
Application 15/060,514 is a continuation in part of application No. 14/186,151, filed on Feb. 21, 2014, granted, now 10,022,053, issued on Jul. 17, 2018.
Claims priority of provisional application 62/138,377, filed on Mar. 25, 2015.
Claims priority of provisional application 61/767,839, filed on Feb. 22, 2013.
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/021 (2006.01); A61B 5/024 (2006.01); A61B 5/145 (2006.01); A61B 5/318 (2021.01); G16H 40/67 (2018.01)
CPC A61B 5/4848 (2013.01) [A61B 5/0205 (2013.01); A61B 5/4833 (2013.01); G16H 40/67 (2018.01); A61B 5/021 (2013.01); A61B 5/024 (2013.01); A61B 5/14542 (2013.01); A61B 5/318 (2021.01)] 22 Claims
OG exemplary drawing
 
1. A method for determining a real-world effectiveness of at least one specific medication from a medication regimen comprising a plurality of medications, said method comprising:
obtaining at least some wrist-mounted patient operable instrumentation comprising a plurality of physiological monitoring devices comprising at least some wrist-mounted physiological monitoring devices configured to obtain a plurality of different types of actual patient pulse wave measurements comprising electrode-based time varying electrocardiograph (ECG) readings, and time varying blood oxygen saturation levels, and time varying blood pressure measurements;
said patient operable instrumentation further comprising at least one processor and memory;
wherein said patient operable instrumentation and said physiological monitoring devices are a unitized, common processor controlled, system;
obtaining a plurality of individual medication impact parameters, each individual medication impact parameter providing information on how an individual known specific medication alters a specific type of pulse wave measurements;
obtaining a plurality of patient reference information, each individual patient reference information providing information on a specific type of patient baseline pulse wave measurement in an absence of patient medication;
wherein said plurality of medication impact parameters and plurality of patient reference information further provide information on how they alter at least some of said plurality of different types of actual patient pulse wave measurements;
obtaining patient medication schedule information regarding said plurality of medications and medication dosing schedules for said patient, and storing said patient medication schedule in said memory;
obtaining and analyzing, using said at least one processor, a plurality of different types of actual patient pulse wave measurements at a known time;
calculating, using said at least one processor, expected patient pulse wave measurements based on said patient medication schedule information and said known time and said plurality of patient reference information and said plurality of medication impact parameters;
determining, using said at least one processor, which of said plurality of different types of actual patient pulse wave measurements are inconsistent with said expected patient pulse wave measurements, thus producing specific medications with inconsistent findings
and using said processor to store at least said specific medications with inconsistent findings in said memory.