
Physician Timesheets Tracking for TEFRA Reporting for Hospital Network
How Aciron does it
Paper-based time reports can slow down even the most efficient company workflow. A Boston-based non-profit hospital network wanted to change their reporting process. They needed custom database development. Our team developed a web application that allowed their physicians to meet TEFRA requirements via auto-generated reports.
- Requirements Analysis
- User Experience Design
- Custom Database Development
- Web Application
- Microsoft SQL Server
- Active Directory Integration
- Microsoft .NET Framework
The challenge
A large Boston-based hospital network came to Aciron once they realized they had an inefficient reporting process. However, it was in compliance with the Tax Equity and Fiscal Responsibility Act (TEFRA). Under TEFRA law, the hospital was required to have its physicians complete reports that detailed their amount of working hours. In addition, they had to provide a detailed breakdown of that time. This was previously accomplished through a manual, paper-based distribution process. Hospital administrative staff would then collect the forms and manually compile the information to create reports. This process was inefficient, time-consuming, and provided little visibility into reported data. The hospital staff realized the need for an easier and more efficient method of form completion, collection, and reporting. In the end, they engaged Aciron to develop an application that would streamline the reporting of the required TEFRA forms.

Solution
Transform
Aciron developed the system to be adjustable, such that functionality and enhancements can easily be implemented in future builds. The application provided the hospital network with a streamlined electronic method of completing the TEFRA requirements. In conclusion, the new process helped enhance efficiency. The custom application was anticipated to increase the overall physician response rate, decrease the amount of time needed to collect the form information, and allow for deeper analysis into reported data.