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Development of a Remote Fertility Testing and Results Platform for Women and Couples
  1. case
  2. Development of a Remote Fertility Testing and Results Platform for Women and Couples

Development of a Remote Fertility Testing and Results Platform for Women and Couples

gloriumtech.com
Medical
Healthcare

Identified Challenges in Remote Fertility Testing and Data Management

The client faces difficulties stemming from reliance on third-party development partners that lack deep healthcare domain expertise, resulting in subpar code quality, missed deadlines, and limited understanding of complex healthcare workflows. This hampers the development of an integrated system supporting end-to-end remote fertility testing, patient engagement, and data consolidation. The client needs a reliable, scalable platform to facilitate remote testing via hardware devices, streamline data collection, automate report generation, and support clinician validation processes across multiple user portals.

About the Client

A mid-sized healthcare technology company specializing in reproductive health solutions, aiming to enhance remote fertility testing and patient engagement platforms.

Goals and Expected Outcomes of the Fertility Testing Platform Development

  • Design and develop a comprehensive web-based platform supporting the entire remote fertility testing workflow, from patient onboarding to report delivery.
  • Implement an intelligent rules engine for accurate fertility report generation based on multi-source data inputs, including health questionnaires, ultrasound scans, blood tests, and clinician reviews.
  • Enhance user experience to improve clarity, usability, and accessibility for women, couples, and healthcare providers.
  • Consolidate all testing data within a centralized system to boost operational efficiency, aiming to double processing speeds and data reliability.
  • Create distinct portals for patients, healthcare providers, and administrators to manage distinct roles and workflows.

Core Functional System Requirements for Remote Fertility Testing Platform

  • Patient portal allowing health intake questionnaire completion and test order placement.
  • Automated rules engine for generating fertility assessments based on integrated test data and questionnaire responses.
  • Remote testing support through hardware device integration and data upload capabilities.
  • Clinician portal for reviewing, validating, or adjusting fertility reports.
  • Administrator dashboard for overarching control of workflows, user management, and data oversight.
  • Consolidated data storage system ensuring high data integrity and quick access.
  • Secure communication channels maintaining patient privacy and data confidentiality.

Technical Stack and Architectural Preferences for Remote Fertility Platform

Modern web frameworks (e.g., Angular for frontend, Spring Boot for backend)
Robust database management (e.g., MySQL or MS SQL Server)
Cloud hosting and storage solutions (e.g., AWS services)
Secure API integrations for device data uploads and external system connectivity

External System and Hardware Integrations Needed

  • Remote hardware device APIs for ultrasound and blood test data transmission
  • Health survey questionnaires and data inputs
  • Clinician review systems and reporting tools
  • Notification and communication services for real-time updates

Non-Functional Requirements for System Performance and Security

  • System scalability to support increasing user registrations and data volume
  • High performance with data processing speeds at least twice as fast as previous platforms
  • Robust security measures for patient data privacy and compliance with healthcare regulations
  • High system availability and reliability with minimal downtime

Anticipated Business Benefits and Operational Improvements

The development of this platform aims to significantly improve user experience and result accuracy, providing patients with clear assessments of their fertility status. Streamlining data collection and automation is expected to reduce processing times by 50%, facilitating quicker decision-making for clinicians. The centralized data system will enhance operational efficiency, enable scalable growth, and provide a competitive edge in the telehealth reproductive health market.

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