Devices, systems, and methods for generating and providing personalized communications to improve adherence to patient treatment plans
Machine learning models generate personalized communications addressing treatment adherence challenges by tailoring messages to individual patient needs, enhancing adherence and health outcomes.
WO2025165920A1 Publication Date: 2025-08-07ELEVANCE HEALTH INC
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Patent Information
- Application Number
- PCT/US2025/013662
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-01-30
- Filing Date
- 2025-01-29
- Publication Date
- 2025-08-07
AI Technical Summary
Technical Problem
Treatment adherence for chronic diseases is low due to factors such as cost, complexity, and lack of understanding, leading to serious consequences for patients, families, and the healthcare system.
Method used
Utilizing machine learning models to generate personalized communications tailored to individual patient needs, considering treatment plan complexity, communication style, and adherence probability, and delivering them through various channels to improve adherence.
Benefits of technology
Enhances treatment adherence by providing personalized, motivational communications that account for patient-specific factors, improving health outcomes and reducing healthcare costs and stress.
✦ Generated by Eureka AI based on patent content.
Abstract
The present disclosure regards an electronic device configured to generate personalized communications regarding patient treatment plans. The electronic device includes a processor configured to perform various operations. These operations include receiving data regarding a patient, where the data includes treatment plan data regarding a treatment plan prescribed for the patient and other data regarding a healthcare provider, a clinician, a medical record, a social media account, a laboratory, or a pharmacy associated with the patient. The operations also include providing the data to a plurality of machine learning (ML) models configured to generate a personalized communication for the patient based on the data. Additionally, the operations include receiving the personalized from the plurality of ML models, where the personalized communication is addressed to the patient and regards the treatment plan prescribed for the patient. Further, the operations include delivering the personalized communication to the patient.
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