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Automated Digital Reporting and Patient Journey System for Gastrointestinal Testing
  1. case
  2. Automated Digital Reporting and Patient Journey System for Gastrointestinal Testing

Automated Digital Reporting and Patient Journey System for Gastrointestinal Testing

itmedical.com
Medical

Challenges in Healthcare Data Processing and Patient Experience Management

The healthcare provider faces inefficiencies in laboratory report generation, lengthy manual processes, and fragmented patient engagement for GI testing. They require a secure, automated system to streamline report production, enhance patient interaction via digital tools, ensure compliance with healthcare data standards, and increase operational capacity without impacting care quality.

About the Client

A medium to large healthcare provider specializing in diagnostic testing and patient management, seeking to optimize operational efficiency and patient engagement through digital solutions.

Goals for Improving Gastrointestinal Testing Workflow and Patient Interaction

  • Reduce report generation time from approximately 20 minutes to under 5 minutes per report to significantly increase clinic capacity.
  • Achieve over 85% of reports being fully automated with minimal clinical adjustments, assuring consistency and accuracy.
  • Enhance test validity by providing detailed instructions and timely reminders, aiming for at least a 17% reduction in invalid tests.
  • Improve overall patient experience through a seamless digital testing journey, encouraging portal engagement and reducing errors.
  • Ensure compliance with relevant healthcare data security and privacy standards, including GDPR and NHS Digital requirements.

Core Functional Specifications for Automated Report and Patient Journey Platform

  • Secure mobile and desktop patient portal providing detailed testing instructions, consent forms, symptom collection, and test scheduling.
  • Automated data collection and integration from various sources with secure storage, supported by machine learning algorithms for report generation.
  • Generation of comprehensive, clinician-verified patient reports in PDF and Word formats, including data visualizations and conclusions.
  • Secure report delivery to patients and referring clinicians post-verification ensuring data privacy and compliance.
  • Digital assistant guiding patients through sample collection, offering QR code-based instructions, and providing timed reminders via email and SMS.
  • Verification workflow involving clinical review to ensure report accuracy before release.
  • Automated notifications to improve test adherence and reduce invalid tests.

Preferred Technologies and Architectural Approaches

Cloud-based infrastructure (e.g., Google Cloud, AWS) for scalability and security
Server-side programming frameworks such as PHP, Laravel, or equivalent
Client-side frameworks like Vue.js, TypeScript, HTML5, Ant Design
Secure communication protocols including WebSocket, TLS
Containerization with Docker and version control via GitLab
Database management using MySQL or similar technology
Integration with external systems for data collection and verification
Use of AI/ML tools for report generation and data analysis

Essential External System Integrations

  • External data sources for symptom and test data collection
  • Communication systems for email and SMS reminders
  • Secure storage in compliance with NHS Digital Standards and GDPR
  • Verification modules involving clinical review workflows

Critical Non-Functional System Requirements

  • System scalability to support increasing patient volume and data load
  • Report generation performance targeting under 5 minutes per report
  • Data security including encryption and access controls to meet GDPR and NHS standards
  • High system availability and reliability with secure backup and disaster recovery
  • User-friendly interfaces for patients and clinicians with minimal learning curve

Projected Business Benefits of the Digital GI Testing System

Implementation of this automated and integrated platform is expected to drastically reduce report generation time by approximately 75%, increase automated report coverage to over 85%, and decrease invalid tests by 17%. This will enable a substantial increase in clinic capacity (up to 68%) while maintaining high standards of data security and patient care, ultimately transforming operational efficiency and enhancing patient satisfaction.

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