Patient Wellness Goal Tracking Using Segmented Self-Reported Readings

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Solution Overview

Problem

Managed care organizations face challenges in tracking progress towards patient wellness goals due to difficulties in accessing frequent medical screenings for data analysis, leading to funding and treatment concerns, especially in areas like hypertension, diabetes, and cholesterol management.

Innovation Solution

A system and method utilizing a segmented patient population and patient self-reported medical readings, where medical monitoring devices collect data which is communicated to servers to create records and calculate percentages of wellness goal achievement at individual, facility, and organizational levels, enabling comprehensive data analysis and display.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If patients frequently access healthcare facilities for medical screenings, then data quality and quantity for wellness goal tracking is improved, but cost and time burden on patients increases

Engineering Contradiction:

Improvewellness goal tracking accuracyVSAvoidpatient time for facility visits

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

Patients perform self-monitoring of medical parameters (blood pressure, glucose, weight) at home using personal devices, eliminating the need for frequent facility visits. The system automatically collects and transmits this self-reported data to the MCO, maintaining data quality while reducing patient time burden.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

A data transmission intermediary (mobile device/app) is introduced between the patient and the MCO. This intermediary automatically transmits medical parameter data from the patient's home environment to the MCO's server, enabling frequent data collection without requiring physical facility access.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If MCOs require large volumes of patient data for analysis, then funding decision accuracy is improved, but patient privacy and data security risks increase

Engineering Contradiction:

Improvewellness goal achievement data completenessVSAvoiddata security risks

Core Design Contradiction:

Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The system segments patient data into discrete, standardized data elements (individual medical parameters with timestamps). This segmentation allows selective transmission and analysis of only necessary data points, reducing overall data exposure while maintaining analytical completeness for funding decisions.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system uses anonymized copies of patient data for MCO analysis rather than accessing full medical records. Data is transmitted in a standardized format that preserves statistical integrity for population health analysis while removing personally identifiable information, thus maintaining security while enabling comprehensive analysis.

Inventive Principle:

Principle #26Copying

3Productivity

If MCOs implement comprehensive wellness tracking systems, then population health management is improved, but system complexity and implementation cost increase

Engineering Contradiction:

Improvewellness goal evaluation efficiencyVSAvoidtracking system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system uses a universal data transmission protocol and standardized data format that works across multiple patient devices (blood pressure monitors, glucose meters, weight scales). This multi-functionality allows the same infrastructure to track various wellness parameters without increasing system complexity, improving overall productivity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system transforms diverse medical parameters from different devices into a unified standardized format with consistent data structures, units, and metadata fields. This parameter standardization simplifies data processing and analysis while enabling comprehensive tracking of multiple wellness goals simultaneously.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12488881B2System method and network for evaluating the progress of a managed care organization patient wellness goals

Publication Date: 2025.12.02 BECKER LESLIE L

AI summary

The present invention relates to evaluating the progress of a managed care organization's (MCO) patient wellness goals using a segmented patient population and patient self-reported medical readings. In operation, a wellness area and goal are predefined, and the patient's self-reported medical readings relate to the wellness area and goal. The patient population can be subdivided with a patient population segmentation rule creating a patient population recordset. An analysis is then performed on the patient population recordset to determine a ‘percentage of goal’ based on patient medical readings when compared to the predefined wellness goal. The ‘percentage of goal’ can be determined for the managed care organization as well as for individual patients, and individual healthcare facilities that are assigned to the managed care organization. Wellness areas that goals can be set for include hypertension, diabetes, body weight, body mass index, cholesterol, and other wellness areas.