Care Plan Manager for Interoperable Healthcare Data
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Solution Overview
Problem
Current care management systems are inefficient in sharing and updating care plans among diverse healthcare providers within Accountable Care Organizations (ACOs), particularly for patients with multiple needs, due to interoperability issues, data redundancy, and the inability to automatically filter sensitive information, leading to potential harm and increased costs.
Innovation Solution
A centralized software solution, the Care Plan Manager (CPM), transforms data from various machine languages into unitary data objects for storage and processing, allowing real-time notification and filtering of sensitive information, thus enabling secure, efficient communication and coordination among providers and patients without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized care plan management system is implemented to share care plans among multiple providers, then care coordination and information sharing are improved, but interoperability issues and system complexity increase
Solution Approach 1:
The patent implements a centralized care plan management system that serves as an intermediary between multiple healthcare providers, patients, and payors. This central system receives care plan data from various providers in different formats, standardizes and stores it centrally, then distributes relevant information to authorized parties. This mediator approach resolves interoperability issues by providing a common platform that handles data translation and coordination, improving care coordination while managing system complexity through centralized control.
2Reliability
If care plan data is shared among all providers in an ACO, then care coordination is improved, but data security and privacy protection become more difficult
Solution Approach 1:
The patent applies local quality by implementing differential access rights for different providers based on their specific roles and needs. The centralized system evaluates each care plan update and determines which providers should receive which information. For example, a specialist may receive detailed clinical information while administrative staff receive only scheduling-related updates. This selective information distribution improves care coordination for those who need it while minimizing security risks by limiting exposure of sensitive data to only those with legitimate need-to-know.
Solution Approach 2:
The system incorporates feedback mechanisms where care plan updates are evaluated against established criteria before distribution. The centralized system monitors data access patterns and can alert providers to potential security issues or inappropriate access attempts. This feedback loop enables continuous improvement of both care coordination effectiveness and data security posture.
3Object-affected harmful factors
If manual review and redaction of sensitive information is performed, then data security is improved, but time consumption and operational efficiency decrease
Solution Approach 1:
The patent implements automated systems that perform self-service functions for data security. The centralized care plan management system automatically evaluates incoming care plan data against pre-established security criteria and redaction rules. Sensitive information is automatically identified, flagged, and redacted or protected based on the evaluated criteria without requiring manual review. This automation maintains high data security standards while eliminating the time-consuming manual processes, thereby improving operational efficiency.
4Adaptability or versatility
If multiple providers develop separate care plans for the same patient, then provider autonomy and specialization are maintained, but data redundancy and inconsistency increase
Solution Approach 1:
The patent merges separate care plans from multiple providers into a single centralized care plan. Each provider can contribute their specialized input and maintain autonomy in developing their portion of the care plan, but all contributions are integrated into one unified document stored centrally. This consolidation eliminates data redundancy and inconsistencies while preserving provider autonomy through the collaborative input process. The centralized system manages the integration, ensuring all provider perspectives are incorporated without duplication.
Data Source
AI summary
A system and method for preparing, modifying, and administering a coordinated health care plan for a person receiving services from multiple providers that allow various user controlled devices speaking different machine and database languages to communicate with and contribute to a central database and processing unit that can interpret the variously expressed data, understand their relationships, establish linkages and consequences among the data, adjust a unified care management plan accordingly, and selectively communicate those consequences to appropriate provider, payor, and patient nodes in their respective machine and database languages.