Patient Care Path System Using Big Data Analytics

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Solution Overview

Problem

Existing approaches for patient care lack standardization and objectivity in diagnosis and treatment, leading to inefficiencies and uncertainties, with healthcare providers facing challenges in determining optimal treatment timing and patient engagement due to subjective criteria and reimbursement concerns.

Innovation Solution

A system and method utilizing big data analytics and machine learning to aggregate patient data, predict outcomes, and provide personalized care paths, including a graphical user interface for healthcare professionals and patients, which standardizes and personalizes diagnosis and treatment, and optimizes care paths by leveraging phenotypic groups and predictive analytics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If frequent office visits are used to monitor patient health, then patient care reliability is improved, but loss of time and productivity worsen

Engineering Contradiction:

Improvepatient care reliabilityVSAvoidtime for paperwork and office visits

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables patients to self-report health data through mobile devices and wearables, eliminating the need for frequent office visits and manual paperwork. Patients automatically input or have their health data collected, which is then transmitted to the care management system for analysis.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of in-person office visits with an automated electronic monitoring system. Data transmission, analysis, and care path adjustments are performed through computational systems rather than physical interactions in office settings.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If subjective criteria are used for diagnosis and treatment decisions, then ease of operation is improved, but manufacturing precision worsens

Engineering Contradiction:

Improveease of diagnosis and treatmentVSAvoidstandardization of care

Core Design Contradiction:

Ease of operationVSManufacturing precision

Solution Approach 1:

The system continuously monitors patient health data and provides feedback to both patients and healthcare providers. This objective feedback loop replaces subjective judgment with data-driven insights, standardizing care decisions while maintaining ease of operation through automated recommendations.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent transforms subjective diagnostic criteria into objective measurable parameters through standardized data collection and analysis. Health conditions are assessed based on quantifiable metrics from wearables and mobile devices rather than subjective provider interpretation.

Inventive Principle:

Principle #35Parameter changes

3Device complexity

If self-reporting by patients is used to monitor health changes, then device complexity is reduced, but measurement precision worsens

Engineering Contradiction:

Improvesimplicity of monitoring approachVSAvoidaccuracy of health change detection

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The system segments health monitoring into multiple data sources including wearable devices, mobile applications, and electronic health records. This segmentation allows objective measurement of specific health parameters while keeping the overall system accessible and simple for patients to use.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary automated system that collects, validates, and analyzes health data. This intermediary layer ensures measurement precision by objectively processing data while maintaining simplicity for patients who only need to interact with the familiar mobile device interface.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11322250B1Intelligent medical care path systems and methods

Publication Date: 2022.05.03 TNACITY BLUE OCEAN INC

AI summary

Further system and methods associated there with can use a combination of big data, machine learning, and/or regression equations to make living care paths based on sensitivities, probability, and/or statistics, which increases the chances of a living care path being successful. System, in some embodiments, can also provide a visual representation of the treatment options and statistics to the patient and HCP. As configured, system can empower patients, making them more informed about their condition, expectations of recovery, and more confident in their HCP's recommended treatment measure.