Clinical Intelligence Engine for Automated Treatment Plan Management

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Solution Overview

Problem

Legacy treatment plans in the healthcare industry are cumbersome, error-prone, and inefficient due to manual data entry and lack of automation, limiting flexibility and customization, especially for conditions like Autism Spectrum Disorder (ASD), and pose challenges in data integration and HIPAA compliance.

Innovation Solution

A clinical intelligence engine leveraging AI and machine learning to standardize treatment plans, integrate data, and enable real-time distribution of client information through a healthcare technology platform, allowing for continuous home and community care by generating and updating treatment plans based on assessment data and results from multiple sources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual data entry and paper-based treatment plans are used, then practitioners can capture and store treatment data, but the process becomes cumbersome, error-prone, and inefficient

Engineering Contradiction:

Improvedata accuracyVSAvoidtreatment plan management efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent replaces manual paper-based data entry with automated electronic data collection systems. Mobile devices and sensors automatically capture treatment data, eliminating the need for manual writing and entry, thereby reducing errors and improving efficiency simultaneously

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables automatic data capture where the treatment process itself generates data that is automatically recorded and stored. The system self-updates treatment plans based on captured data without requiring manual intervention for data entry or plan adjustment

Inventive Principle:

Principle #25Self-service

2Ease of manufacture

If pre-defined treatment plan templates are used, then treatment plans can be created from established protocols, but customization and flexibility for individual patients are limited

Engineering Contradiction:

Improvetreatment plan creation easeVSAvoidtreatment plan customization

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The treatment plans transition from static pre-defined templates to dynamic adaptive plans. The system automatically adjusts treatment parameters and recommendations based on real-time patient data, allowing customization while maintaining ease of creation through automated generation

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements continuous feedback loops where patient response data is automatically captured and used to adjust treatment plans. This enables customization based on individual patient progress while maintaining the structured approach of template-based creation

Inventive Principle:

Principle #23Feedback

3Reliability

If one-on-one practitioner treatment sessions are increased, then treatment quality and direct supervision improve, but the limited number of practitioners reduces the frequency and continuity of care

Engineering Contradiction:

Improvetreatment qualityVSAvoidtreatment session frequency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent introduces technology intermediaries (mobile devices, sensors, automated systems) that enable continuous monitoring and treatment delivery without requiring constant practitioner presence. This maintains treatment quality through automated guidance while increasing session frequency through remote delivery

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system creates digital copies of practitioner expertise and treatment protocols that can be delivered remotely through mobile devices. This allows treatment to continue without the physical presence of the practitioner, maintaining quality while enabling more frequent interactions

Inventive Principle:

Principle #26Copying

4Quantity of substance

If paper-based data collection forms are used, then treatment data can be captured and stored, but data integration and interoperability between systems are limited

Engineering Contradiction:

Improvedata collection capacityVSAvoiddata integration capability

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The patent replaces paper-based data collection with electronic systems that automatically capture and store data in digital formats. This enables seamless data integration and interoperability between different systems while maintaining comprehensive data collection capabilities

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The electronic data system is designed to be universally compatible with multiple platforms and systems. The standardized digital data format enables integration across different healthcare systems, devices, and applications, preventing information loss and enabling comprehensive data sharing

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20180240552A1System and method for managing treatment plans

Publication Date: 2018.08.23 CATALIGHT FOUND

AI summary

Disclosed is an improved approach to implement continuous home and community care processes in the healthcare industry. Embodiments of the present disclosure describe systems and processes for standardization of treatments and outcomes using a clinical intelligence engine. An embodiment of this disclosure is a healthcare technology platform that enables the distribution of decision making from a central location to the edge of the system, thereby improving the overall treatment efficacy.