[Visual representation of digital clinical guideline]

Area of Science:

• Medical Informatics
• Clinical Decision Support Systems
• Human-Computer Interaction

Context:

• Digital clinical guidelines offer potential for enhancing patient safety and treatment quality.
• Current guidelines often employ technical language, creating a barrier for clinical practitioners.
• Effective communication of clinical protocols is essential for accurate diagnosis and treatment.

Purpose:

• To develop a visual representation method for digital clinical guidelines to improve clinician comprehension.
• To facilitate the conversion between flowchart-based representations and existing digital clinical guideline formats (e.g., Arden Syntax).
• To enhance the usability and accessibility of digital clinical guidelines for healthcare professionals.

Summary:

• This research proposes using flowcharts as a visual tool to represent digital clinical guidelines.
• The study demonstrates the interconversion between flowchart representations and guidelines written in Arden Syntax.
• The developed method simplifies complex clinical logic, making it more intuitive for clinicians.

Impact:

• The visual approach enhances the clarity and intuitiveness of clinical diagnosis logic.
• This method empowers clinicians to better understand and edit digital clinical guidelines.
• Improved guideline accessibility can lead to more consistent and higher-quality patient care.