Personalized Health Care Plan Coordination System

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current patient care plans are not personalized to individual patients' unique lifestyles and medical conditions, leading to inadequate adherence and management of chronic illnesses, as they are based on generic demographics rather than specific lifestyle and environmental factors.

Innovation Solution

A data processing system that generates personalized health care management plans by integrating patient demographic, medical, and lifestyle data, including geospatial and behavioral information, to create tailored care plans that account for individual circumstances and available resources, and continuously monitors adherence through dynamic adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If generic demographic-based care plans are used, then device complexity is reduced and ease of manufacture is improved, but patient adherence and health outcomes deteriorate

Engineering Contradiction:

Improveease of creating care plansVSAvoidpatient adherence to care plan

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The system performs preliminary actions by automatically collecting demographic, lifestyle, and environmental data about the patient before care plan creation. This pre-gathering of personalized information enables the generation of tailored care plans without requiring manual complexity during the planning phase, thus maintaining ease of manufacture while improving patient adherence through personalization.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The care coordination system acts as an intermediary between multiple data sources (patient demographics, lifestyle data, environmental factors) and the care plan generation process. This intermediary automatically integrates diverse information and translates it into personalized care plans, reducing the complexity burden on providers while delivering tailored recommendations that improve patient adherence.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If personalized care plans integrating multiple data sources are created, then patient adherence and health outcomes are improved, but device complexity and data processing requirements increase

Engineering Contradiction:

Improvepatient adherence to care planVSAvoidcomplexity of care management system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The care coordination system performs multiple functions within a single integrated platform: collecting demographic data, gathering lifestyle information, analyzing environmental factors, generating personalized care plans, and monitoring patient adherence. This multi-functionality consolidates what would otherwise require multiple separate systems, managing complexity while delivering comprehensive personalized care.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system enables self-service by automatically collecting and processing patient data without requiring manual intervention for each data point. The automated data gathering and analysis processes allow the system to generate personalized care plans independently, reducing the operational complexity burden on healthcare providers while maintaining high personalization standards.

Inventive Principle:

Principle #25Self-service

3Reliability

If continuous monitoring and dynamic adjustments are implemented, then care plan effectiveness is improved, but loss of time for data collection and processing increases

Engineering Contradiction:

Improveeffectiveness of care planVSAvoidtime for data collection and analysis

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system implements continuous monitoring and dynamic adjustment of care plans without interruption. By maintaining ongoing data collection and analysis operations, the system ensures that care plans remain current and effective, automatically adapting to changing patient conditions while minimizing delays in response time through continuous operational processes.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The system incorporates feedback loops where patient data is continuously collected, analyzed, and used to dynamically adjust care plans. This feedback mechanism ensures that care recommendations remain effective and relevant to current patient conditions, automatically optimizing care based on real-time or near-real-time data without requiring manual review cycles that would consume additional time.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10529446B2Continuous health care plan coordination between patient and patient care team

Publication Date: 2020.01.07 MERATIVE US LP

AI summary

Mechanisms are provided for implementing a personalized health care management system. The mechanisms receive a personalized health care plan for a patient having at least one health goal of the patient, and dynamic patient monitoring data from one or more patient monitoring devices associated with the patient. The mechanisms analyze the dynamic patient monitoring data to determine at least one first communication to output to the patient containing content eliciting conformance of the patient with the personalized health care plan to achieve the at least one health goal. The mechanisms send, to a patient care manager computing device of a patient care manager associated with the patient, a second communication based on results of analyzing the dynamic patient monitoring data. The second communication initiates a new communication session, or continues an existing communication session, between the patient care manager computing device and a patient communication device associated with the patient.