Training problem
Clinical pharmacy training produces many paper-style records, but progress, mentor feedback, rotation requirements, and export preparation are difficult to audit when scattered.
A training-management platform that turns fragmented clinical pharmacy teaching records into structured tasks, mentor review, progress tracking, and document-grade exports.
Clinical pharmacy training produces many paper-style records, but progress, mentor feedback, rotation requirements, and export preparation are difficult to audit when scattered.
A task-based training base covering trainees, mentors, rotations, paper-style forms, review state, graduation requirements, attendance, and export packages.
I modeled training requirements into structured schemas, front-end paper forms, review workflows, and Word/ZIP export logic.
A de-identified English preview showing training progress, mentor review, paper-style forms, and export readiness.
The interface lets trainees submit structured tasks, mentors review them, and administrators monitor completion across task types and rotations.

The platform treats training records as a governed workflow rather than a folder of files.
Each task type has a schema, front-end form, and exporter, making records consistent while still resembling hospital paper documents.
Trainee submissions move through draft, submitted, approved, and rejected states with comments and review history.
Graduation requirements can be summarized by task type, approval status, rotation, and trainee, enabling administrators to see training gaps quickly.
This platform connects your education research background with a concrete implementation for pharmacist training management.
The platform operationalizes the logic behind pharmacist competency evaluation and turns training requirements into measurable, reviewable outputs.
Paper-style rendering and Word export show attention to how hospital training documents are actually reviewed, signed, archived, and inspected.
By separating task schema, form UI, review workflow, and exporter logic, new training tasks can be added without redesigning the whole system.