Clinical Code Mapping With Ontology for Targeted Care Interventions

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Solution Overview

Problem

Existing population health management systems face inefficiencies in aggregating and analyzing patient data, leading to time-consuming and resource-intensive processes for healthcare providers, and patients often receive overwhelming or irrelevant information about their medical conditions, making it difficult to manage health effectively.

Innovation Solution

A cognitive intelligence platform that integrates data from various sources, performs conversational analysis, and uses knowledge graphs to provide targeted, cognified data to healthcare providers and patients, enhancing scheduling, check-in processes, and generating personalized care plans.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If traditional population health management systems aggregate and analyze patient data across multiple health information technology resources, then comprehensive patient data analysis is achieved, but the process becomes time-consuming and resource-intensive

Engineering Contradiction:

Improvecomprehensive patient data analysisVSAvoidtime-consuming process

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary mapping operations to create a taxonomy of data elements and ontological relationships before actual patient data analysis is needed. This pre-structuring of data relationships enables faster querying and analysis when patient data is aggregated, resolving the contradiction between comprehensive analysis and time consumption.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary layer consisting of a taxonomy mapping system and ontological framework that sits between raw patient data from multiple sources and the analysis engine. This intermediary structure standardizes and organizes data relationships in advance, enabling efficient comprehensive analysis without time-consuming ad-hoc processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If traditional systems aggregate patient data from multiple sources, then complete patient information is obtained, but computing and network resources are wasted

Engineering Contradiction:

Improvecomplete patient informationVSAvoidcomputing and network resource waste

Core Design Contradiction:

Loss of informationVSLoss of energy

Solution Approach 1:

The system extracts and separates essential data elements from comprehensive patient data using a taxonomy mapping approach. By identifying and extracting only the relevant data elements needed for specific analyses, the system obtains complete necessary information while avoiding the computational overhead of processing entire datasets unnecessarily.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies local quality by creating specialized taxonomic mappings and ontological structures tailored to specific analysis needs rather than using a uniform comprehensive data structure for all queries. This allows the system to optimize data representation and processing for each specific analytical task, reducing overall computational resource consumption.

Inventive Principle:

Principle #3Local quality

3Loss of information

If patients receive comprehensive information about their medical conditions, then complete medical context is provided, but patients receive overwhelming or irrelevant information

Engineering Contradiction:

Improvecomplete medical contextVSAvoidpatient information management

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The system applies local quality by customizing information presentation based on patient-specific needs, conditions, and preferences. The taxonomy mapping and ontological framework enable the system to filter and prioritize information locally for each patient, providing complete medical context in a tailored, manageable format rather than overwhelming generic information.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system performs preliminary organization and filtering of medical information using pre-established taxonomic relationships and ontological structures. This pre-processing of information according to patient-specific parameters ensures that when comprehensive medical context is provided to patients, it is already organized and relevant, avoiding overwhelming them with unfiltered information.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250378967A1Performing mapping operations to perform an intervention

Publication Date: 2025.12.11 BETTER CARE TECH LLC

AI summary

A method may include receiving a set of codes pertaining to an event performed for a patient, mapping the plurality of codes to a taxonomy of data to determine a utilization unit, mapping the utilization unit to ontological data of a medical condition, mapping the ontological data to a knowledge fragment pertaining to the medical condition and the patient, and causing the knowledge fragment to be presented on a computing device of a medical personnel.