Project Overview
Automating Radiology Billing for Hospitals, Institutions, and Doctors
Healthcare scan centers process a large number of radiology cases every month. Generating accurate invoices for institutions and doctors from scan software reports can be time-consuming when handled manually.
We developed a Billing Management System that automates the process of retrieving cases from Excel reports, calculating pricing based on modality, detecting duplicates, and generating invoices for institutions and doctors.
The system significantly reduced billing preparation time and improved accuracy by eliminating manual calculations.
Project Requirement
The client required a centralized system to automate the billing workflow generated from their scan software reports.
The system allows users to upload Excel files containing scan case data, which are automatically processed and categorized by institutions and doctors. Pricing for each case is automatically calculated based on predefined modality charges such as CT, MRI, and other scan types, including day and night pricing.
Duplicate cases are identified based on patient name, time, and case details, allowing administrators to verify or remove duplicates before generating invoices.
Once verified, the system generates invoices for institutions and doctors and sends them through Email and WhatsApp. Additionally, the platform provides consolidated reports that show institution costs, doctor payments, and profit margins for better financial analysis.
Business Problem
Manual Billing Process
Previously, the billing process involved manually extracting case data from Excel reports generated by the scan software. The billing team had to split the data for each institution and doctor and calculate pricing manually. This process took up to four days every month.
Duplicate Case Handling
Some cases contained the same patient name but different timestamps, making it difficult to identify duplicates manually. This often resulted in duplicate billing or missed cases.
High Volume of Invoices
The client needed to generate invoices for up to 200 institutions and doctors, making the manual billing process inefficient and time-consuming.
Solution
We built an automated Billing Management System that processes case data, calculates pricing, and generates invoices through a centralized web application.
Users upload monthly Excel reports generated from the scanning software. The system automatically retrieves case details and categorizes them by institutions, doctors, and modalities.
Pricing for each institution and doctor is predefined in the system based on modality and time (day/night). When cases are processed, the pricing is automatically applied.
A duplicate detection module identifies potential duplicates based on patient details and timestamps, allowing administrators to review them before billing.
Once billing summaries are verified, invoices can be generated instantly and sent to institutions and doctors. The system also provides downloadable reports with financial breakdowns.
Technical Architecture
Frontend
The user interface is built using Angular, providing a responsive and dynamic web application for administrators and billing teams. The frontend communicates with backend services through RESTful APIs to retrieve case data, process billing, and generate reports.
Backend
The backend is developed using the Node.js framework, enabling efficient API management and structured application development. The backend handles Excel data processing, billing calculations, invoice generation, and integration with communication services for sending invoices.
Key Platform Features
Results & Business Impact
The Billing Management System transformed the client's billing workflow by automating case processing and invoice generation.
Key benefits include:
- Reduced billing preparation time from 4 days to 1–2 hours
- Eliminated manual calculation errors
- Automated duplicate case detection
- Faster invoice generation for 200+ institutions and doctors
- Improved financial visibility through consolidated reports The solution helped the client streamline their billing operations and significantly improve operational efficiency.
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