Decision acceptance deadline

14.04.26 (inclusive)

Form of award

Under discussion

Product status

Idea

Task type

ICT tasks

Сфера применения

Medical

Область задачи

Other technological solutions

Purpose and description of task (project)

A module for data visualization, collecting statistics on doctors' workload, finances, and work efficiency. The purpose of the development: To provide clinic managers with transparent analytics for making managerial decisions, to reduce the time spent on collecting reports manually

Type of product

Software/ IS

Problem description

To provide clinic managers with transparent analytics for making managerial decisions, to reduce the time spent on collecting reports manually

Expected effect

The essence: A module for data visualization, collecting statistics on doctors' workload, finances and work efficiency. The purpose of the development: To provide clinic managers with transparent analytics for making managerial decisions, and to reduce the time spent on collecting reports manually. The expected effect is to reduce administration time by 35-50%, and increase schedule occupancy to 85-90% by identifying "bottlenecks" in the sales funnel. Roles: Clinic Owner, Chief Physician, Superuser. Functional requirements: Dashboards by revenue (by day/week/month). Schedule analysis: percentage of office and doctor occupancy, "no-show" statistics. Patient conversion funnels (from the first call to the completion of the course of procedures). Expected technical tasks: Backend (Node.js): Creating aggregating SQL queries. Putting heavy calculations into background processes (CRON) so as not to load the main database during business hours. Frontend (Vue.js 2): Integration of libraries for charting (for example, Chart.js or ECharts). Optimization of rendering of large data arrays. Acceptance criteria: Dashboards take no longer than 1-2 seconds to load. The data on the graphs correspond to the real data in the tables (records, payment statuses). Graphs can be exported to PDF or Excel. Integrations: Uploading or synchronizing data with external BI-systems (at the request of the clinic) via API

Full name of responsible person

Amina Agzamova

Note