In the field of physiotherapy, precision and efficiency are paramount. Transitioning into information technology, I aimed to simplify the process of calculating service agreement costs in my physiotherapy job.
Inspiration and Automation
Inspired by the “100 Days of Code” challenge on replit.com, I created a Python program to automate service agreement cost calculations.
The Challenge: Manual Calculation
In my physiotherapy role, manual calculations of session fees, travel costs, and report writing hours were time-consuming and error-prone.
The Solution: Automated Calculation
I developed a Python program on replit.com to automate this process:
Step 1: Gather essential information. Step 2: Calculate session costs. Step 3: Compute travel expenses. Step 4: Calculate report costs. Step 5: Provide a comprehensive total cost.
The Output: Clarity and Efficiency
The program not only provides the total cost but also generates a detailed breakdown of each cost component, facilitating communication with support coordinators and patients.
A Glimpse into the Code
Access the Python code here. It’s user-friendly and efficient, enhancing my daily physiotherapy tasks.
Conclusion: Bridging Healthcare and Technology Through Automation
This service agreement calculator exemplifies how automation can streamline processes in healthcare, emphasizing efficiency and precision. My journey continues as I explore more ways to leverage technology in my work.