Team Competencies and Educational Threshold Concepts for Clinical Information Modelling

Area of Science:

• Health Informatics
• Clinical Informatics
• Information Science

Background:

• Healthcare interoperability is essential for safe and reliable health information exchange.
• Current clinical information modeling approaches may be suboptimal.
• Semantic models are foundational for effective data exchange.

Purpose of the Study:

• To advocate for a collaborative, multidisciplinary approach to clinical information modeling.
• To challenge the utility of 'separation of concerns' in this context.
• To define fundamental concepts for effective technology-agnostic information modeling.

Main Methods:

• Conceptual analysis and synthesis of principles for information modeling.
• Argumentation for a collaborative team structure.
• Identification and presentation of six core concepts for collaboration.

Main Results:

• Clinical information modeling necessitates a team including healthcare professionals, process/content analysts, and terminologists.
• 'Separation of concerns' is identified as potentially unhelpful in this collaborative process.
• Six fundamental concepts are presented to guide collaborative, technology-agnostic information modeling.

Conclusions:

• A collaborative, integrated team approach is superior for clinical information modeling.
• Understanding core concepts is vital for successful technology-agnostic information modeling.
• This framework supports enhanced healthcare interoperability through better semantic models.