Technology Category
Natural Language Processing: Code Generation / Program Synthesis from Natural LanguageCognitive Modeling & Cognitive Systems: Neural Spike CodingHumans and AI: Interaction Techniques and Devices
Vibe coding for clinicians: democratising bespoke software development for digital health innovation
🤖 AI Summary
This work addresses the persistent challenge clinicians face in translating real-world workflow needs into functional digital health tools due to limited technical expertise and inadequate commercial software support. To bridge this gap, the authors propose “vibe coding”—a method that leverages natural language prompts to guide large language models in collaborative development, thereby lowering technical barriers and enabling non-specialist developers to rapidly prototype solutions tailored to clinical contexts. Integrating clinical workflow analysis, human-AI collaborative programming, and prompt engineering, the study offers practical guidelines, illustrative case studies, and deployment recommendations specifically designed for frontline healthcare professionals. The approach demonstrates both feasibility and practical utility in aligning clinical insights with effective technical implementation.
Technology Category
Application Category
📝 Abstract
Clinicians often face workflow problems that are perceived as either too bespoke or low stakes to attract commercial attention. Historically, most do not have the technical knowledge to address these problems, but the recent emergence of "vibe coding" presents a transformative opportunity. Vibe coding refers to the co-development of software using natural language prompts to large language models. It offers a pathway to create simple tools that address these real-world pain points, or to prototype more complex ideas. In this review, written by a group of early adopter clinicians with a range of programming expertise, we introduce vibe coding for clinicians (especially those with no or minimal coding experience) as a way of democratising innovation from the front lines. We discuss foundational skills, outline some common challenges, provide a practical step-by-step playbook, and illustrate this approach with some case examples, taking care to consider caveats and guardrails for deployment. We propose that vibe coding is more than a technical shortcut for beginners and is not a replacement for professional software developers. Instead, it can bridge the gap between clinical insight and technical execution, equipping clinicians with the ability to rapidly prototype digital health solutions most reflective of clinical realities.
Problem
Research questions and friction points this paper is trying to address.
vibe coding
digital health
clinical workflow
bespoke software
health innovation
Innovation
Methods, ideas, or system contributions that make the work stand out.
vibe coding
large language models
digital health
clinician-led innovation
rapid prototyping
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