Vibe coding for clinicians: democratising bespoke software development for digital health innovation

2026-04-24

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

• Natural Language Processing: Code Generation / Program Synthesis from Natural Language
• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Humans and AI: Interaction Techniques and Devices

Application Category

• Economics, Online Markets and Human Computation: Architectures and workflows that use LLMs for crowd work
• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health
• Responsible Web: Machine-in-the-loop, human agency and autonomy

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

• vibe coding
• digital health
• clinical workflow
• bespoke software
• health innovation

Innovation

• vibe coding
• large language models
• digital health
• clinician-led innovation
• rapid prototyping