An approach to using care pathway records for research.

Area of Science:

• Medical Informatics
• Health Services Research
• Reproductive Medicine

Background:

• Integrated care pathways (ICPs) are detailed medical guidelines that record deviations ('variances').
• Analyzing these variances can provide valuable evidence from clinical practice.
• Previous research explored ICPs and variance analysis for research purposes.

Purpose of the Study:

• To propose a system for extracting data from ICPs using ontologies.
• To develop a method for inferring ICPs from existing patient records.
• To combine extracted and inferred ICP data with existing study data for preimplantation genetic diagnosis (PGD) research.

Main Methods:

• Utilized ontologies for data extraction from ICPs.
• Developed a method to infer ICPs from other patient records.
• Integrated data from retrospective and prospective studies.

Main Results:

• Demonstrated a system for data extraction and inference of ICPs.
• Successfully combined diverse data sources for PGD research.
• Established a foundation for capturing evidence from clinical practice through ICP analysis.

Conclusions:

• The proposed system offers an effective method for data extraction and ICP inference.
• This approach enhances the ability to capture evidence from clinical practice.
• The methodology is applicable to research in assisted reproduction, specifically PGD.