Goal Tracking System Using Threshold Alerts
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Solution Overview
Problem
Current systems for tracking and managing data related to individuals with special needs, such as those with disabilities or mental disorders, often rely on outdated methods like paper documents and single computing systems, making it difficult to view, update, and share information effectively.
Innovation Solution
A system and method for tracking goal progression using a server accessible through networks, where client data is collected from monitoring devices, and alerts are sent when thresholds are met or exceeded, allowing for real-time monitoring and intervention planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If paper documents and single computing systems are used to track client data, then device complexity is reduced, but information accessibility and sharing efficiency deteriorate
Solution Approach 1:
The patent implements a network-based system where a central server provides universal access to client data through multiple communication channels including web interfaces, mobile applications, and email notifications. This allows diverse users (clinicians, caregivers, family members) to access the same information system through different devices and interfaces, transforming a single-function paper system into a multi-functional digital platform that resolves the contradiction between system simplicity and information accessibility.
Solution Approach 2:
The patent introduces a network server as an intermediary between data storage and various users. This intermediary component receives data from monitoring devices, stores it centrally, and distributes it to authorized users through multiple channels. The intermediary resolves the contradiction by providing a unified access point that simplifies the overall system architecture while simultaneously enabling widespread information access and sharing.
2Extent of automation
If manual tracking methods are used, then automation level is reduced, but implementation cost is lowered
Solution Approach 1:
The patent implements automated feedback mechanisms where the system continuously monitors client data against established goals and thresholds, automatically generates alerts when thresholds are exceeded, and notifies relevant stakeholders. This automated feedback loop eliminates manual review processes, increases the speed and consistency of goal monitoring, and directly addresses the contradiction by using automation to improve productivity and goal mastery rates without requiring excessive manual intervention.
Solution Approach 2:
The patent enables the system to automatically perform data collection, storage, analysis, and notification functions without requiring manual operation. Monitoring devices automatically capture client data, the server automatically processes and stores this data, and the system automatically generates and sends alerts when needed. This self-service capability resolves the contradiction by allowing high-level automation that improves productivity while keeping operational costs manageable through elimination of manual labor.
3Speed
If real-time monitoring is implemented, then response time to client needs is improved, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-establishing goals, thresholds, and notification protocols before data collection begins. The system is configured in advance with specific criteria for what constitutes a threshold exceedance and who should be notified. This preliminary configuration allows the system to automatically respond in real-time without requiring complex runtime decision-making, thus achieving fast response times while maintaining relatively simple system architecture.
Solution Approach 2:
The patent uses parameter changes to simplify real-time monitoring by transforming continuous client data into discrete threshold-based events. Instead of analyzing continuous streams of complex data in real-time, the system monitors whether parameters exceed predetermined thresholds, converting complex continuous monitoring into simpler binary state detection. This approach enables real-time response while keeping system complexity manageable through parameter transformation.
Data Source
AI summary
A system, method, server, and computer readable medium for tracking goal progression. Input is received establishing one or more clients. The one or more clients are individuals receiving treatment or assistance. Each of the one or more clients are assigned to an account. Goals are established for each of the one or more clients. Data associated with each of the one or more clients is compiled as received from one or more monitoring devices. A determination is made where the goals are being met in response to the thresholds for the compiled data. Alerts are automatically communicated in response to the compiled data varying from a threshold to become significant for one of the one or more clients.


