Selection of a wearable article for a medical device

US12354750B2 · kind B2 · utility

Assignee

• West Affum Holdings DAC · IE

Inventors

• Steven E. Sjoquist · Lynnwood, US
• Mark P. Moore · Kent, US
• Joseph L. Sullivan · Kirkland, US
• Jonathan P. Niegowski · Issaquah, US
• Hema A. Ingle · Woodinville, US
• Leo J. Gilbert · Kirkland, US
• Zoie R. Brent · Kirkland, US

Key dates

• Filing date: Dec 21, 2022
• Grant date: Jul 8, 2025
• Expiry date: Jul 30, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H40/63
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A medical wearable matching system is provided that pre-assesses a fit of a wearable article of medical device for a patient. The matching system may facilitate fitting and selection of a class of wearable articles for a patient. The matching system may also evaluate potential effects of the fit on operations of the medical device. Patient specific data, such as measurements, are fed into a fit prediction artificial intelligence (“AI”) model. The fitting AI model is trained with fitting data of previous patients to predict a class of wearable medical article that is likely, above a threshold amount, to provide a target fit for the patient. The patient specific information may also be fed into an adverse potential AI model. The adverse potential AI model is trained with patient experience data describing adverse operations of a wearable article worn by prior patients.