Functional requirements of Online Laboratory Management System with non-functional

Functional Requirements

1. User Registration and Authentication:
   • Allow users (lab technicians, scientists, administrators, clients) to create and manage accounts with role-based access control.
   • Implement secure authentication methods, including password recovery and multi-factor authentication.
2. Sample Management:
   • Enable users to register, track, and manage samples, including sample collection, storage, and disposal.
   • Provide features for labeling and barcoding samples for easy identification and tracking.
3. Test and Experiment Management:
   • Allow users to define and schedule tests and experiments, including protocols, reagents, and procedures.
   • Track the status and progress of tests and experiments, including start and completion times.
4. Equipment Management:
   • Manage laboratory equipment, including tracking usage, maintenance schedules, and calibration.
   • Provide tools for logging equipment issues, repairs, and servicing.
5. Result Entry and Reporting:
   • Enable users to enter and record test results, including numerical data, images, and observations.
   • Generate and manage reports of test results, including detailed analysis and summary reports.
6. Client and Order Management:
   • Manage client information, including contact details, service requests, and billing information.
   • Allow clients to submit sample requests, track the status of their samples, and view results online.
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7. Inventory Management:
   • Track laboratory inventory, including reagents, consumables, and other supplies.
   • Provide notifications for low inventory levels and support ordering and restocking processes.
8. Billing and Invoicing:
   • Generate and manage invoices for laboratory services, including billing for tests, experiments, and other services.
   • Provide options for online payment and integrate with payment gateways.
9. Quality Control and Compliance:
   • Implement quality control measures and track compliance with laboratory standards and regulations.
   • Maintain records of quality control tests, audits, and certifications.
10. Data Export and Import:
    • Support exporting data, including sample information, test results, and reports, in various formats (e.g., CSV, Excel, PDF).
    • Allow importing data from other systems or files for initial setup or data migration.
11. Reporting and Analytics:
    • Provide tools for generating reports and analytics on laboratory performance, test results, inventory, and client activity.
    • Include dashboards for tracking key metrics and performance indicators.
12. Admin Panel and Management:
    • Provide administrators with tools to manage user accounts, configure system settings, and oversee laboratory operations.
    • Allow administrators to handle system-wide configurations, manage roles, and review logs.
13. Integration with External Systems:
    • Integrate with external systems, such as Electronic Health Records (EHR) or Laboratory Information Management Systems (LIMS), for seamless data exchange and synchronization.
    • Provide APIs and connectors for integration with other tools and services used by the laboratory.

Non-Functional Requirements

1. Scalability:
   • The system should handle increasing numbers of users, samples, tests, and data without performance degradation.
   • Support for scaling infrastructure to accommodate growth and peak usage periods.
2. Performance:
   • Ensure fast and responsive interactions, with quick data retrieval, result entry, and report generation.
   • Optimize performance to handle large datasets and concurrent users efficiently.
3. Reliability and Availability:
   • Ensure high availability with minimal downtime, supported by redundancy, load balancing, and failover mechanisms.
   • Implement regular backups and disaster recovery procedures to maintain service continuity.
4. Usability:
   • The user interface should be intuitive and user-friendly, accommodating users with varying levels of technical expertise.
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   • Provide a consistent and seamless experience across different devices and platforms.
5. Security:
   • Implement robust security measures to protect user data, test results, and sensitive laboratory information, including encryption, secure authentication, and access controls.
   • Protect against unauthorized access, data breaches, and cyber threats.
6. Maintainability:
   • Ensure the system is easy to maintain, with clear documentation, modular design, and support for regular updates and bug fixes.
   • Implement automated monitoring and logging to identify and address issues promptly.
7. Compliance:
   • Ensure the system complies with relevant regulations and standards, such as data protection laws (e.g., GDPR, HIPAA) and laboratory regulations.
   • Provide features to support auditing, data retention, and regulatory reporting requirements.
8. Data Integrity and Accuracy:
   • Ensure that all data collected and processed by the system is accurate, consistent, and up-to-date.
   • Implement validation checks and data integrity mechanisms to prevent errors and data corruption.
9. Localization and Internationalization:
   • Support multiple languages and regional settings to cater to a diverse user base.
   • Allow easy adaptation of the system to meet local regulations and practices.
10. Accessibility:
    • Ensure that the system is accessible to users with disabilities, following web accessibility standards (e.g., WCAG).
    • Provide features such as screen reader compatibility, keyboard navigation, and adjustable text sizes.
11. Privacy and Data Ownership:
    • Ensure that users retain ownership of their data and can easily control, access, and delete their information.
    • Provide transparency regarding data usage, sharing, and storage practices, with clear consent mechanisms.