Revolutionizing Qualitative Data Analysis: The AQUATIC Method for AI-Enhanced Insights
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By
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Sam Belkin
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Jacob White
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Cale G. Burke
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Emma Cepek
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March 1, 2026
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Clinical Scorecard: Revolutionizing Qualitative Data Analysis: The AQUATIC Method for AI-Enhanced Insights
At a Glance
| Category | Detail |
|---|
| Condition | Qualitative Data Analysis (QDA) |
| Key Mechanisms | Integration of AI into qualitative data analysis protocols for efficiency and precision. |
| Target Population | Local-level public health organizations and researchers. |
| Care Setting | Public health research environments. |
Key Highlights
- AQUATIC protocol enhances QDA capacity using AI for rapid analysis.
- Designed for question-led engagement with defined datasets.
- Facilitates in-house analysis, reducing reliance on external research organizations.
- Combines human interpretive judgment with AI-driven insights.
- Utilizes ATLAS.ti software for efficient data management and analysis.
Guideline-Based Recommendations
Diagnosis
- Identify specific research questions to guide qualitative analysis.
Management
- Implement AQUATIC protocol for structured qualitative data analysis.
Monitoring & Follow-up
- Ensure human verification of AI-generated outputs for accuracy.
Risks
- Potential misalignment of research objectives when relying on external partnerships.
Patient & Prescribing Data
Not applicable; focuses on public health research methodologies.
AI tools can significantly reduce analysis time from weeks to minutes.
Clinical Best Practices
- Incorporate AI tools to enhance qualitative data analysis efficiency.
- Train personnel rapidly on the AQUATIC protocol for effective implementation.
- Encourage cross-departmental collaboration within organizations.
References
