US 12,354,750 B2
Selection of a wearable article for a medical device
Steven E. Sjoquist, Lynnwood, WA (US); Mark P. Moore, Redmond, WA (US); Joseph L. Sullivan, Kirkland, WA (US); Jonathan P. Niegowski, Issaquah, WA (US); Hema A. Ingle, Woodinville, WA (US); Leo J. Gilbert, Kirkland, WA (US); and Zoie R. Brent, Portland, OR (US)
Assigned to West Affum Holdings DAC, Dublin (IE)
Filed by West Affum Holdings Corp, Grand Cayman (KY)
Filed on Dec. 21, 2022, as Appl. No. 18/069,917.
Claims priority of provisional application 63/293,016, filed on Dec. 22, 2021.
Prior Publication US 2023/0197273 A1, Jun. 22, 2023
Int. Cl. G16H 50/20 (2018.01); G06F 1/16 (2006.01); G16H 40/63 (2018.01)
CPC G16H 50/20 (2018.01) [G06F 1/163 (2013.01); G16H 40/63 (2018.01)] 17 Claims
OG exemplary drawing
 
1. A method for selecting a wearable article of a medical device for a patient, the method comprising:
receiving patient specific data including body measurement data;
conducting predictive analysis to predict a class of the wearable article that provides a target fit for positioning a component of the wearable article to contact the body of the patient for performance of the medical device to treat and/or monitor the patient for a medical condition, by:
inputting patient specific data and one or more fit factors to a first artificial intelligence (“AI”) model trained on fitting data of previous patients having the same or similar medical condition as the patient; and
receiving an output from the first AI model that includes a predicted class of wearable article that likely provides the target;
selecting the class of the wearable article based, at least in part, on the predicted class;
providing the selected class of the wearable article for treatment and monitoring of the patient for the medical condition during wearing of the wearable article; and
retraining the first AI model with updated inputs including additional fitting data for new patients fitted with the wearable article.