Longitudinal Patient Data Platform for Secure Clinical Trial Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for patient engagement and clinical trial participation are inefficient, requiring excessive processing cycles, memory utilization, and network communication resources, with limited patient control over medical information and insecure data handling.
Innovation Solution
A patient engagement platform utilizing a patient database for longitudinal data storage, modular components, and customizable dashboards to enhance patient control, reduce navigation operations, and improve data security, enabling efficient clinical study matching and patient outreach.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a traditional patient engagement system is used, then patients can access medical information, but the system requires excessive navigation and processing resources
Solution Approach 1:
The system pre-generates and stores longitudinal patient data summaries and clinical trial matching results before they are requested. When a patient logs in, their profile page instantly displays pre-computed information about their medical history, treatment outcomes, and compatible clinical trials without requiring real-time processing or multiple navigation steps through complex menus.
Solution Approach 2:
The patient engagement platform is divided into modular components: a longitudinal data management module, a clinical trial matching module, and a patient interface module. Each module handles specific tasks independently, allowing the system to retrieve and display only the relevant segment of data needed for each patient interaction, reducing overall processing complexity.
2Reliability
If comprehensive patient data is stored and processed, then better clinical trial matching can be achieved, but data security risks increase
Solution Approach 1:
The system introduces a security intermediary layer that sits between the comprehensive longitudinal patient data storage and the clinical trial matching algorithms. This intermediary layer uses encryption and access control mechanisms to protect sensitive patient information while still allowing the matching algorithms to process and analyze the data for improved clinical trial compatibility assessments.
3Adaptability or versatility
If patients have full control over their health information, then patient engagement improves, but system operations become more complex
Solution Approach 1:
The patient interface includes self-service controls that allow patients to independently manage their own health information preferences, data sharing permissions, and clinical trial enrollment choices. The system provides pre-configured templates and automated workflows that guide patients through these decisions without requiring complex system administration or manual configuration by healthcare providers.
Data Source
AI summary
A patient portal system may include a patient database module to interpret a patient profile value and a clinical database module to interpret a clinical study description. The patient database module may also interpret patient clinical data in response to the patient profile value and the clinical study description, and include at least a portion of the patient clinical data as longitudinal data of a patient corresponding to the patient profile value. The system may also include a patient interface module to implement a patient engagement interface and to interpret a patient medical event value in response to patient interactions with the patient engagement interface. The patient database may also adjust the longitudinal data in response to the patient medical event value.