US 12,272,433 B2
Systems and methods for predicting adoption of a therapy
Michael Wren, Dublin (IE); Redmond Shouldice, Dublin (IE); and Sam Coffey, Dublin (IE)
Assigned to RESMED SENSOR TECHNOLOGIES LIMITED, Dublin (IE)
Appl. No. 17/764,772
Filed by ResMed Sensor Technologies Limited, Dublin (IE)
PCT Filed Sep. 28, 2020, PCT No. PCT/IB2020/059059
§ 371(c)(1), (2) Date Mar. 29, 2022,
PCT Pub. No. WO2021/064551, PCT Pub. Date Apr. 8, 2021.
Claims priority of provisional application 62/908,528, filed on Sep. 30, 2019.
Prior Publication US 2022/0406420 A1, Dec. 22, 2022
Int. Cl. G16H 10/60 (2018.01); G16H 20/40 (2018.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01)
CPC G16H 10/60 (2018.01) [G16H 20/40 (2018.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01)] 25 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a prescribed treatment plan for an individual;
receiving data associated with the individual;
using a machine learning adoption prediction algorithm to process at least a portion of the received data to determine a likelihood that the individual will adopt the prescribed treatment plan;
based at least in part on (i) the prescribed treatment plan and (ii) the determined likelihood that the individual will adopt the prescribed treatment plan, generating a personalized treatment adoption plan for the individual;
responsive to implementation, by the individual, of the personalized treatment adoption plan, receiving feedback associated with the personalized treatment adoption plan; and
based at least in part on (i) the personalized treatment adoption plan and (ii) the feedback, generating a modified personalized treatment adoption plan.