Development of a Common Data Model Facilitating Clinical Decision-Making and Analyses.

Area of Science:

• Health Informatics
• Clinical Data Management

Background:

• The Common Data Model (CDM) is crucial for organizing health data.
• Existing CDMs for primary use have limitations in supporting clinical decision-making and medical process analysis.

Purpose of the Study:

• To design a novel Common Data Model (CDM) that enhances support for clinical decision-making.
• To develop a CDM optimized for medical process analyses.

Main Methods:

• A new CDM was designed with an integrated search flow.
• The search flow identifies relevant clinical facts after defining the clinical process.
• The data definition language of the CDM was made open source.

Main Results:

• The designed CDM effectively supports clinical decision-making.
• The new model facilitates detailed medical process analyses.
• The open-source availability promotes wider adoption and collaboration.

Conclusions:

• The developed CDM significantly improves upon existing models for primary data use.
• This approach enhances the utility of clinical data for both decision-making and process analysis.
• Making the data definition language open source accelerates advancements in clinical informatics.