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A Design Thinking Approach to Developing a Clinical Decision Support System for Breathlessness in Primary Care
Anthony Paulo Sunjaya1,2, Allison Martin1,2, Christine Jenkins1,2
1Respiratory Group, The George Institute for Global Health, Sydney, NSW, Australia.
This study developed a clinical decision support system (CDSS) for breathlessness in primary care using design thinking. General practitioners found the CDSS useful for breathlessness assessments, indicating potential for improved guideline implementation.
Area of Science:
- Health Informatics
- Primary Care Medicine
- Human-Computer Interaction
Background:
- Clinical decision support systems (CDSS) can aid guideline implementation but face clinician adoption barriers.
- Bridging the research-translation gap requires effective tools for healthcare professionals.
- Breathlessness assessment in primary care presents challenges for consistent guideline adherence.
Purpose of the Study:
- To develop a CDSS for breathlessness assessment in primary care utilizing a design thinking approach.
- To address clinician barriers to the uptake of decision support tools.
- To evaluate the usability and utility of the developed CDSS with general practitioners.
Main Methods:
- An exploratory focus group informed the initial low-fidelity mockup of the CDSS.
- Two rounds of Think-Aloud testing were conducted on the prototype.
- Split-run (A/B) testing was employed in the second round to address user interface concerns.
Main Results:
- General practitioners (GPs) perceived the CDSS as a valuable aid in breathlessness assessments.
- Clinicians expressed openness to integrating the CDSS into their practice.
- The design thinking approach facilitated rapid and cost-effective insight generation.
Conclusions:
- A design thinking methodology, combined with rapid usability testing, can effectively develop and refine clinical decision support systems.
- The developed CDSS shows promise for supporting primary care clinicians in managing breathlessness.
- This approach offers a practical and efficient way to gain user insights for tool development.
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