Automated Patient Transfers
From manual input to a human-free digital process.
Automation
Situation
The referral process was fully manual: data was extracted from the patient software, copied into Excel, and then entered one by one into the referral system, creating high operational workload and error risk.
Work Done
We developed an automated bot that downloads the report, extracts the relevant data, transforms it, and once validated, uploads it to the referral system. The entire process features full traceability and log-based monitoring.
Result
Manual input was completely eliminated, reducing human error and significantly improving operational efficiency. Estimated monthly savings: 2744 minutes and 312 USD.
Project Phases
These were the stages we followed to automate the process.
Problem Identification
We detected the operational bottleneck in the referral data entry process.
Solution Design
We designed an automation architecture without human intervention.
Bot Development
We programmed the Python script to connect data, validate information, and run the full process.
Implementation and Traceability
The automated process was launched, with logs and error control.
Key Benefits
Fewer Manual Tasks
The process is now 100% automated, freeing staff from repetitive tasks.
Fewer Errors
Automatic validation and logs minimize the risk of human error.
Improved Traceability
Each step is logged, allowing auditability and process improvement.
Estimated Monthly Savings
2744 min
Operational Time
USD 312
Avoided Cost
This saving recurs monthly thanks to the full automation of the process.