CLINICAL SESSION TRACKING TOOL DEVELOPMENT

Clinical Training Session Logging Tool Purpose.
To provide an efficient, user-friendly tool for students to log their clinical training sessions and for lecturers to track student progress, ensuring alignment with academic requirements.
System Requirements.
User Roles.
Students Log clinical training sessions.
View their own session logs and total training hours.
Maintain data confidentiality (cannot view other students' data).
Lecturers View aggregated data for all students in a class.
Access detailed session data (dates, times, durations).
Calculate total academic hours for each student.
Key Features.
Input Form for Students Fields.
Date and Time.
Date picker and time input.
Patient Name.
Free-text field.
Duration.
Dropdown with options.
45 minutes, 90 minutes, 135 minutes.
Student Name.
Dropdown pre-populated with the logged-in student’s name.
Automatic calculation of academic hours (e.
., 45 minutes = 1 academic hour).
Class and User Management Each student is associated with a specific class.
Lecturers have access only to students assigned to their classes.
Student Dashboard Displays.
Previous logs (date, time, patient name, duration, academic hours).
Total accumulated academic hours.
Data visibility restricted to the logged-in student.
Lecturer Dashboard Overview.
Total academic hours for all students in a selected class.
Detailed View.
Breakdown of individual student logs (date, time, patient name, duration, academic hours).
Web Embedding Tool must be integrated into a web page.
Responsive design for access via desktops, tablets, and smartphones.
Security and Privacy Authentication system to ensure only authorized access.
Role-based access controls (students vs.
lecturers).
Data encryption for sensitive information (e.
., patient names).
Reporting and Analytics Exportable reports for lecturers, summarizing student training hours by.
Total academic hours.
Session details.
Technical Requirements.
Front-End HTML, CSS, and JavaScript framework (e.
., React or Vue.
s).
Date picker and dropdown components for user input.
Back-End Database.
Stores student information, class associations, session logs.
Suggested.
MySQL or MongoDB.
API.
RESTful API for data submission and retrieval.
Framework.
Node.
s, Flask, or Django.
Authentication OAuth2 or similar system for secure login.
Role-based access for students and lecturers.
Hosting Cloud-based hosting solution (e.
., AWS, Azure, Google Cloud).
Embeddable iFrame or JavaScript widget for web integration.
Compliance Summary This document outlines the requirements for a Clinical Training Session Logging Tool to track and manage student clinical training hours.
The system allows students to log their sessions, view their history, and calculate academic hours.
Lecturers can view aggregated and detailed data for students in their classes.
The tool must prioritize data security, be embeddable in a web page, and support responsive design for various devices.
Key features include dropdown menus for input fields, dashboards for users, and robust reporting functionality.
It should integrate with a authentication system and leverage a cloud-based hosting solution for scalability.
PHP MySQL Arquitetura de software JavaScript HTML ID do Projeto.
# Sobre o projeto 42 propostas Aberto para ofertas Projeto remoto Ativo em 25 minutos atrás