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Development of a Scalable Externship Coordination and Matching Platform for Healthcare Education
  1. case
  2. Development of a Scalable Externship Coordination and Matching Platform for Healthcare Education

Development of a Scalable Externship Coordination and Matching Platform for Healthcare Education

leobit.com
Education
Medical
Healthcare

Identified Challenges in Healthcare Externship Management

Fragmented externship coordination relying on manual processes creates visibility issues and communication gaps between educational institutions and healthcare providers. Students face difficulties securing relevant placements, while institutions struggle to track externship progress and ensure compliance. Healthcare providers experience inefficiencies in onboarding and managing externship placements, delaying workforce readiness. Regulatory compliance requirements further complicate the process, leading to delays and potential non-compliance risks. The current manual and siloed workflows hinder effective placement matching, data-driven decision-making, and automation of onboarding workflows.

About the Client

A mid-sized educational organization specializing in healthcare training programs, seeking to streamline externship management and student placement processes to enhance clinical training outcomes.

Goals for Developing an Efficient Externship Coordination System

  • Design and develop a scalable web platform to streamline externship program management for healthcare education institutions.
  • Implement advanced student-externship matching algorithms based on multiple weighted criteria including location, discipline, and scheduling preferences.
  • Create automated compliance management workflows to facilitate document collection, validation, and approval, ensuring adherence to regulatory standards.
  • Develop role-based access controls for secure and granular user permissions tailored for administrators, educators, preceptors, and students.
  • Enable bulk data upload and management of student records via CSV import, organized by cohorts and disciplines.
  • Incorporate AI-driven features, such as automated input suggestions and analytics to assess student performance and provide actionable insights.
  • Ensure seamless integration with document processing tools, cloud storage solutions, and communication systems.

Core Functional Specifications for the Externship Platform

  • Granular role-based access control with permissions for administrators, educators, preceptors, and students.
  • Automated student-externship matching using advanced filtering and scoring algorithms based on multiple criteria.
  • Document management system with AI-supported contract building, import/export capabilities, and integrated document processing.
  • Bulk student data import and cohort management via CSV uploads to streamline onboarding.
  • Externship performance tracking, including case log completion and activity logging by students.
  • AI-powered input field suggestions and insights to reduce manual data entry and enhance decision-making.
  • Automated compliance workflows for document collection, validation, and approval aligned with regulatory standards.

Technology Stack and Architectural Preferences

Modern web development frameworks such as Angular or similar for frontend development.
Backend developed with ASP.NET Core, customized for access control and workflows.
Cloud infrastructure leveraging Microsoft Azure for hosting, storage, and scalability.
Relational database systems such as MSSQL for data management.
AI and automation features integrated via custom algorithms and possibly cloud-based AI services.

Essential External System Integrations

  • Document processing tools for contract editing and data import/export.
  • Cloud storage solutions (e.g., Azure Blob Storage) for document and data storage.
  • CSV file processing libraries for bulk data uploads.
  • Potential integration with existing educational and healthcare management systems for seamless data flow.

Key Non-Functional System Requirements

  • Scalability to support growth in user base and data volume, with performance metrics ensuring responsiveness for multiple concurrent users.
  • High security standards to safeguard sensitive student and institutional data, including role-based access control and compliance adherence.
  • Performance targets ensuring page loads and data retrieval within 2 seconds under typical load conditions.
  • Reliability and uptime of 99.9% to ensure consistent platform availability.
  • Compliance with regulatory requirements related to data privacy and document handling.

Projected Business and Educational Outcomes of the Platform

The implementation of this platform aims to significantly improve the efficiency and accuracy of externship placements, reducing manual workload and errors. It is expected to enhance placement matching accuracy, streamline onboarding and compliance workflows, and provide data-driven insights for continuous improvement. The platform will support greater scalability and user engagement, ultimately accelerating healthcare workforce development and ensuring regulatory adherence, leading to better student outcomes and operational efficiencies.

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