The VIBE-HI framework: a conceptual model for evaluating vibe coding appropriateness, quality, and safety in health informatics
BackgroundVibe coding—generating software through natural-language prompts to large language models without reviewing the underlying code—has moved rapidly from consumer technology into peer-reviewed clinical applications. By early 2026, clinicians had published vibe-coded teaching tools, a validated clinical nomogram, and an end-to-end omics platform built in under 10 minutes for under two dollars. Collins Dictionary named vibe coding its 2025 Word of the Year. No governance framework currently
Record details
Published: 23 July 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Regulation · Healthcare
Retrieved: 25 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Efficacy of Various Virtual Reality Exposure Therapies for Chronic Low Back Pain: Systematic Review and Network Meta-Analysis
JMIR (Journal of Medical Internet Research) · 22 July 2026
FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization
arXiv · 22 July 2026
Balancing public health and individual autonomy: a study of Chinas vaccination policy
Journal of Medical Ethics (BMJ) · 22 July 2026
Registers and quotas: strengthening conscientious objection policy in healthcare
Journal of Medical Ethics (BMJ) · 22 July 2026
Digital Transformation in Health Care: Are We on the Right Track?
JMIR (Journal of Medical Internet Research) · 21 July 2026
Do AI-Native Biotechs Need Departments? Benchmarking Company World Models for AI-Driven Drug Development
arXiv · 21 July 2026
How to cite this record
ethics.ai (23 July 2026), “The VIBE-HI framework: a conceptual model for evaluating vibe coding appropriateness, quality, and safety in health informatics,” evidence record 13189, https://ethics.ai/record/13189 (originally published by Frontiers in Artificial Intelligence).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.