Digital Therapy System for Reducing Dementia Acute Incident Risk
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Solution Overview
Problem
Current approaches to managing dementia are inadequate, leading to high healthcare costs, caregiver burden, and limited effective treatments, with a lack of holistic solutions for reducing acute incident risk for dementia patients and their caregivers.
Innovation Solution
A system comprising a server that delivers personalized digital therapies and engagement plans to patients and caregivers via connected devices, focusing on improving mood, reducing negative behaviors, and modifying caregiver belief states to reduce acute incident risk through psychosocial therapies and cognitive enrichment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current dementia management approaches are used, then basic care is provided, but healthcare costs increase and caregiver burden increases
Solution Approach 1:
The system segments dementia management into multiple functional modules: risk assessment module, digital therapy delivery module, caregiver support module, and data analytics module. Each module addresses specific aspects of dementia care independently, allowing the complex system to be managed through modular components that can be activated based on patient needs and resource availability.
Solution Approach 2:
The system introduces digital intermediaries including automated assessment tools, digital therapy platforms, and data analytics systems that mediate between patients, caregivers, and healthcare providers. These intermediaries process information and coordinate care, reducing the complexity burden on human caregivers while improving acute incident risk reduction through standardized digital protocols.
2Ease of operation
If comprehensive dementia care is provided, then quality of life improves, but healthcare costs increase
Solution Approach 1:
The system enables self-service through automated risk assessment tools that continuously monitor patient status without requiring caregiver intervention, digital therapy modules that patients can access independently, and automated reminder systems for medications and appointments. This reduces caregiver stress by automating routine monitoring tasks while maintaining comprehensive care quality.
Solution Approach 2:
The system implements continuous feedback loops where data from patient assessments, therapy engagement, and caregiver reports are analyzed to dynamically adjust care plans. This feedback mechanism optimizes healthcare resource consumption by directing resources to high-risk patients needing intensive intervention while allowing low-risk patients to receive less intensive care, thereby reducing overall healthcare costs while maintaining quality of life.
3Measurement precision
If early detection focus is maintained, then diagnostic accuracy improves, but treatment effectiveness remains limited
Solution Approach 1:
The system performs preliminary actions by continuously assessing risk factors and providing preventive digital therapies before acute incidents occur. The risk assessment module identifies patients at risk for acute incidents and initiates targeted interventions early, improving treatment effectiveness by addressing issues before they manifest as severe symptoms, thereby reducing the need for costly emergency care and hospitalizations.
Solution Approach 2:
The system changes parameters by transitioning from a static diagnostic model to a dynamic, multi-parameter assessment system that continuously monitors cognitive, physical, and social indicators. This dynamic parameter monitoring enables more precise detection and allows treatment protocols to be adjusted in real-time based on changing patient conditions, improving both detection accuracy and treatment effectiveness simultaneously.
4Reliability
If digital therapy delivery is implemented, then acute incident risk reduces, but technology complexity increases
Solution Approach 1:
The digital therapy platform is designed with multi-functionality, serving multiple purposes: risk assessment, therapy delivery, caregiver education, and data tracking. This universal platform consolidates multiple functions into a single system, reducing overall technology complexity compared to having separate systems for each function while maintaining effective acute incident risk reduction through integrated digital interventions.
Data Source
AI summary
Systems and methods for reducing acute incident risks for dementia patients are provided. Benefits of the systems and methods include reducing healthcare costs, improving patient and caregiver outcomes and reducing caregiver burden. A server system analyzes data related to a dementia patient and the corresponding caregivers (e.g., family member, paid caregiver, physician) and calculates an acute incident risk. Based on the acute incident risk, the server system determines patient therapies to reduce the acute incident risk and also identifies caregiver education to improve the caregiver belief state, which reduces the acute incident risk. The system periodically re-calculates the acute incident risk and identifies patient therapies and caregiver education and motivation to further reduce or maintain the acute incident risk.