Extraction of Data from a Hospital Information System to Perform Process Mining

Area of Science:

• Health Informatics
• Data Science
• Process Mining

Background:

• Hospital Information Systems (HIS) contain valuable data for research.
• Process mining requires high-quality, extracted data for accurate analysis.
• Challenges exist in extracting relevant data from complex HIS.

Purpose of the Study:

• To document the experience of data extraction from a HIS for a process mining study.
• To provide practical steps and lessons learned for researchers.
• To emphasize the critical role of data quality in research.

Main Methods:

• Defined research objectives.
• Mapped normative processes.
• Identified relevant database tables and fields.
• Extracted data from the HIS.

Main Results:

• A structured approach to data extraction was successfully implemented.
• Key challenges and potential pitfalls in data extraction were identified.
• Lessons learned emphasize the need for thoroughness and attention to detail.

Conclusions:

• Accurate data extraction is fundamental for successful process mining research.
• Investing time in meticulous data extraction prevents downstream analytical errors.
• This experience serves as a guide for future HIS data extraction projects.