Implementing PyautoGUI for Enhanced Heart Team Protocol Creation: Improving Efficiency in Cardiovascular Patient...

Area of Science:

• Cardiology and Health Informatics
• Medical Process Automation
• Clinical Decision Support Systems

Background:

• The heart team (HT) approach is crucial for managing complex cardiovascular diseases, requiring interdisciplinary collaboration.
• Increasing patient multimorbidity and diagnostic complexity challenge traditional data management methods.
• Existing standardized protocols for HT risk assessment are data-intensive and time-consuming.

Purpose of the Study:

• To develop and evaluate an automated script for data entry into a standardized heart team protocol.
• To improve the efficiency of data collection for cardiovascular disease risk assessment and social medicine considerations.
• To assess the time savings achieved through automated data entry compared to manual methods.

Main Methods:

• Implementation of a GUI automation script using PyAutoGUI for data entry.
• Timed comparison of data entry efficiency between the automated script and an experienced human operator.
• Statistical analysis using a two-sample Student's t-test to compare completion times (SPSS v30.0.0).

Main Results:

• The automated data entry script showed a statistically significant improvement in efficiency (p=0.049).
• The script automates data entry from referring departments into the heart team protocol via screen coordinates.
• This automation offers potential for meaningful time savings in protocol completion.

Conclusions:

• Automated data entry is a vital step in managing complex patient populations and therapeutic approaches in cardiology.
• The developed script enhances physician focus on quality control and decision-making, reducing manual data entry burden.
• Continuous validation and optimization are necessary for full realization of automation benefits in clinical practice.