Price: 0
Number of applications: 7
18.06.26 (inclusive)
Under discussion
Idea
ICT tasks
Medicine
Other technological solutions
Software/ IS
One of the fundamental problems of private medicine is the lack of end-to-end analytics on processes and employee effectiveness . A blind spot for leadership: Investors and managers do not see the real picture of what is happening in real time. There is no quick and clear reporting on payment methods and revenue distribution . Financial and operational results are summed up only at the end of the month through a long and painful compilation of data from different systems (Excel, cash registers). Distortion of conversion rates (Fake KPIs): In the old systems, primary patients (who need to be sold and persuaded) are mixed with patients in procedures (who just go for injections every day). Because of this, the call center conversion rate is artificially high, and management does not understand why the clinic is not growing in profit at "100% utilization". IIA performance drop: In monolithic systems, an attempt by management to upload a report for the year leads to the fact that the system freezes for all users, paralyzing the work of the call center and registry due to database locks. "Uncontrolled" cancellations: Administrators cancel patient records, but no one analyzes the reasons (for example, "Expensive", "Chose competitors"). Without this data, the clinic cannot adjust its marketing strategy and pricing policy.
The launch of a deep BI analytical system will be a powerful lever of control for DCH partner clinics.: Absolute financial transparency: Financial dashboards broken down by Kaspi/cash/cards will provide 100% control over cash flows and debts . The management will be able to track the dynamics of revenue and the average receipt on a daily basis. Fair evaluation of staff (Data-Driven): The separation of primary and intermediate receptions will allow you to pay bonuses to call center operators for real conversion, rather than for "hyped-up" visits. Doctor analytics will instantly show which specialists patients return to and which ones they leave. Optimization of operating costs: Automatic report generation will save administrators and financiers from manual work, which, according to the business plan, will reduce administration time by 35-50% . Ultra-fast system operation: An architectural solution with database migration to a separate loop for analytics ensures that even the generation of heavy reports for management does not affect the speed of cashiers and doctors in their interfaces.
Amina Agzamova
Purpose and description of task (project)
Create a transparent tool (data-driven management) for clinic owners, chief physicians, and administrators. The main objective of the module is to consolidate disparate data from the calendar, EHR, and checkout modules into single interactive control panels, providing automatic and error—free calculation of employee KPIs, financial flow control, and identification of "bottlenecks" in the sales funnel without manually tabulating tables. Detailed description of the functionality and technical solutions: Isolated database architecture: In order for heavy analytical calculations not to slow down the work of the registry and cashiers, requests from the financial and operational dashboards are sent to the database replica (a separate server circuit) . This guarantees stable performance of the main API (response time is up to 1 second) . Summary dashboards by Call Center and Doctors: The module automatically aggregates calendar statuses (Received, Not Received, Canceled, Total) for each call center manager, doctor, and branch . For an objective assessment of sales, a strict formula for calculating conversions has been implemented: Received / (Total - Interim inspections) × 100% . Intermediate inspections (repeat visits) are algorithmically excluded from the calculation in order not to distort the actual achievements of the manager . Churn Analysis: A section that collects data from the Parish Department about cancelled entries. Visualizes a list of reasons for cancellations with their number and percentage of the total number, with the ability to upload an array of data to Excel for detailed study . Financial BI Dashboard: A dashboard with 5 key KPI cards (widgets) is being developed for management: revenue per day, revenue per month, total patient debts, average bill, and number of canceled bills . Visualization and detailing of payments: Integration of graphic libraries (Chart.js or ECharts) for constructing revenue histograms by day and pie charts broken down by payment methods (Cash, Kaspi QR, Bank Card, Installment Plan) . An interactive table of recent transactions is located under the charts . Reporting generation: Development of REST API endpoints (for example, /analytics/revenue, /analytics/avg-receipt, /reports/monthly) for generating daily and monthly reports . The summary data can be downloaded in Excel and PDF formats . Role-based Security (RBAC): Access to the shared dashboard, hidden analytics, and summary reports for all branches is strictly limited. This information can only be viewed by the "Admin" role, which eliminates the leakage of trade secrets to line staff.
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