
Chloie Tan developed and enhanced supervisor-facing patient care features for the ntu-pear/PEAR_WebFE repository over four months, focusing on robust medication and activity management workflows. She implemented API-driven CRUD systems for patient medications and activity recommendations, integrating React and TypeScript to deliver modular UI components and modal dialogs. Her work included dynamic data fetching, filtering, and state management, with end-to-end and unit testing to ensure reliability. By refining type safety and improving build stability, Chloie addressed technical debt while supporting clinician efficiency and data accuracy. Her contributions established scalable foundations for future patient care enhancements and streamlined supervisor operations.
In Oct 2025, PEAR WebFE delivered two major features with strong QA and UI polish, driving clinician efficiency and patient data accuracy. Medication Management System provides API-driven CRUD for patient meds with UI modals and a refreshed medications table. Activity Recommendation System adds APIs to create/update recommendations, authentication-aware API calls, and bulk actions, with enhanced presentation in the patient activity view (badges). These efforts were supported by targeted fixes: prescription list now sorts by Value, activity preference table corrected, and UI polish (borders, selectable rows) with improved test coverage. Impact: streamlined end-to-end medication workflow, faster, more accurate medication handling, and scalable patient activity recommendations. Skills demonstrated include React/TypeScript frontend, API integration, E2E testing, UI/UX enhancements, and security-conscious API design.
In Oct 2025, PEAR WebFE delivered two major features with strong QA and UI polish, driving clinician efficiency and patient data accuracy. Medication Management System provides API-driven CRUD for patient meds with UI modals and a refreshed medications table. Activity Recommendation System adds APIs to create/update recommendations, authentication-aware API calls, and bulk actions, with enhanced presentation in the patient activity view (badges). These efforts were supported by targeted fixes: prescription list now sorts by Value, activity preference table corrected, and UI polish (borders, selectable rows) with improved test coverage. Impact: streamlined end-to-end medication workflow, faster, more accurate medication handling, and scalable patient activity recommendations. Skills demonstrated include React/TypeScript frontend, API integration, E2E testing, UI/UX enhancements, and security-conscious API design.
2025-09 Monthly summary for ntu-pear/PEAR_WebFE: Focused on stabilizing the build and improving robustness. The primary work this month involved targeted type refinement to resolve build blockers and improve long-term maintainability. There were no new user-facing features delivered; the emphasis was technical debt reduction, code quality, and process improvements to enable faster, safer deployments.
2025-09 Monthly summary for ntu-pear/PEAR_WebFE: Focused on stabilizing the build and improving robustness. The primary work this month involved targeted type refinement to resolve build blockers and improve long-term maintainability. There were no new user-facing features delivered; the emphasis was technical debt reduction, code quality, and process improvements to enable faster, safer deployments.
August 2025 monthly performance summary for ntu-pear/PEAR_WebFE focusing on supervisor tooling and patient-care workflows. Delivered a set of feature-rich pages and UI/data enhancements with end-to-end test coverage, improving data accuracy, supervisor productivity, and decision support. Implemented architectural improvements and refactored modals to streamline user interactions, while maintaining high code quality through targeted test cleanup.
August 2025 monthly performance summary for ntu-pear/PEAR_WebFE focusing on supervisor tooling and patient-care workflows. Delivered a set of feature-rich pages and UI/data enhancements with end-to-end test coverage, improving data accuracy, supervisor productivity, and decision support. Implemented architectural improvements and refactored modals to streamline user interactions, while maintaining high code quality through targeted test cleanup.
February 2025: Delivered the Supervisor-facing Patient Highlights feature for ntu-pear/PEAR_WebFE, enabling supervisors to access a dedicated Highlights page with routing, API configuration, and a UI to display highlights (including newly associated prescriptions and activity exclusions) with filtering and searching. Added a reusable PatientHighlightModal component and integrated it into the HighlightTable to show detailed highlight information by category. The effort consolidated two commits: e99f606fca70367664398e147969406e6a34fa7d (Add Patient's Highlights page) and 3d0f8d1c24ec2dfb94c58c44c82dc4dc305565d0 (Add Highlight Modal). Impact includes improved supervisor visibility, faster triage, and a scalable foundation for future highlight features. Technologies demonstrated include React, TypeScript, routing, REST API integration, modular component design, and UI/UX polish.
February 2025: Delivered the Supervisor-facing Patient Highlights feature for ntu-pear/PEAR_WebFE, enabling supervisors to access a dedicated Highlights page with routing, API configuration, and a UI to display highlights (including newly associated prescriptions and activity exclusions) with filtering and searching. Added a reusable PatientHighlightModal component and integrated it into the HighlightTable to show detailed highlight information by category. The effort consolidated two commits: e99f606fca70367664398e147969406e6a34fa7d (Add Patient's Highlights page) and 3d0f8d1c24ec2dfb94c58c44c82dc4dc305565d0 (Add Highlight Modal). Impact includes improved supervisor visibility, faster triage, and a scalable foundation for future highlight features. Technologies demonstrated include React, TypeScript, routing, REST API integration, modular component design, and UI/UX polish.

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