Closed-Network Clinical Integration APIs for Secure Interoperability
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Solution Overview
Problem
Current healthcare systems lack a unified platform to integrate heterogenous computing resources, such as medical devices and software applications, while ensuring secure identification, regulatory compliance, and cybersecurity, which is time-consuming and costly for clinical customers.
Innovation Solution
A closed, private computing network with integrated interface programs (APIs) for authenticating, verifying, and managing interoperability among heterogenous clinical system resources, including data exchange and integration APIs, scripting APIs, QA APIs, and DB access APIs, ensuring secure and efficient integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a unified platform is implemented to integrate heterogenous healthcare resources, then interoperability and integration efficiency are improved, but system complexity and implementation cost increase
Solution Approach 1:
The system segments heterogenous healthcare resources into standardized functional modules (data exchange APIs, scripting APIs, QA APIs, database access APIs) that can be independently developed, tested, and integrated. Each module handles specific integration tasks according to standardized protocols, reducing overall system complexity while maintaining high interoperability.
Solution Approach 2:
The platform implements universal interface programs that can serve multiple heterogenous resources simultaneously. A single set of standardized APIs and authentication mechanisms can integrate diverse medical devices, software applications, and healthcare systems, eliminating the need for separate integration solutions for each resource type.
2Reliability
If authentication and verification processes are implemented for all clinical system resources, then cybersecurity and patient safety are improved, but integration time and operational overhead increase
Solution Approach 1:
Authentication credentials, license information, and interoperability verification results are obtained and validated during the initial onboarding process before the resource is integrated into the network. This preliminary authentication ensures cybersecurity requirements are met upfront, eliminating the need for repeated verification during operation and reducing overall integration time.
Solution Approach 2:
The system implements self-service authentication mechanisms where clinical resources automatically provide their authentication credentials and license information when requested. The interface programs autonomously verify these credentials against stored expected credentials, reducing manual intervention and operational overhead while maintaining security.
3Manufacturing precision
If comprehensive interoperability testing is performed during onboarding, then integration quality and regulatory compliance are improved, but onboarding time and computational resources increase
Solution Approach 1:
The system performs a focused set of essential interoperability testing operations that verify critical functionality and compliance requirements, rather than exhaustive testing of all possible scenarios. This partial action approach achieves sufficient integration quality for regulatory compliance while significantly reducing onboarding time and computational resource requirements.
Solution Approach 2:
The testing process dynamically adjusts verification thresholds and testing depth based on the resource type, criticality level, and predefined compliance requirements. By changing testing parameters adaptively, the system achieves consistent integration quality across different resources without uniformly applying time-consuming comprehensive testing to all cases.
4Object-affected harmful factors
If secure authentication protocols are implemented for all data exchanges, then data security and patient privacy are improved, but data exchange speed and system performance decrease
Solution Approach 1:
Authentication credentials and security tokens are established during the initial onboarding and verification process. Once authenticated, resources can exchange data using pre-established secure channels and tokens, eliminating the need for repeated authentication handshakes during each data exchange operation, thus maintaining security while improving exchange speed.
Data Source
AI summary
Embodiments disclose herein implement a computing system in a computing network with hardware and software components of clinical system resources. The computing network may be a closed, private network. The clinical system resources may be situated on-premises or otherwise geographically proximate to the clinical installation (e.g., hospital, healthcare clinic). The clinical system resources may be heterogenous resources. The clinical system resources may access or execute interface programs (e.g., APIs) for performing interoperability operations on input data or instructions from the clinic database or upstream clinical system resource of the clinical networked computing system. For instance, the interface program may, for example, translate the data format of instructions or application data, or authenticate an upstream clinical system resource that sent the application data or instructions, among others. In an onboarding process, the integration program may perform operations for authentication, license validation, and testing and verifying interoperability of the clinical system resource.