Zello Life editorial team
The team responsible for researching, structuring, checking sources, and updating public content about AI-assisted clinical documentation.
How content is produced
Automation accelerates research and structure. Publication remains subject to editorial criteria, visible sources, and clear clinical-use limits.
- 01
Intent-led research
Each topic begins with a real question from physicians or managers and is scoped before drafting.
- 02
Visible sources and evidence
External claims must point to institutional sources or identifiable documents.
- 03
Automated editorial validation
Rules check structure, citations, language, translation, and consistency before deployment.
- 04
Recorded updates
Published and modified dates remain visible; material corrections enter the article history.
Editorial limits
- No article replaces individual clinical assessment.
- AI assistance is explicitly disclosed.
- We do not publish testimonials, metrics, or credentials without evidence.
- Professional and legal rules require a source and current context.
Recent editorial articles
Clinical documentation in gynecology: a reviewable workflow with AI
Organize sensitive history, timelines, and tests into AI-assisted drafts, with review checkpoints, privacy, and physician review.
9 min read · Reviewed on Jul 17, 2026Clinical documentationMedical transcription errors involving medications: checklist
Check names, doses, units, frequency, and negations in AI drafts using a two-pass review and a practical matrix.
9 min read · Reviewed on Jul 14, 2026Technology and managementAI medical scribe: how to conduct a safe pilot in a practice
A practical roadmap for testing an AI medical scribe, protecting data, measuring review effort, and safely deciding whether the practice should scale it.
11 min read · Reviewed on Jul 14, 2026Clinical productivityHow to reduce the time spent typing medical records without sacrificing clinical quality
A practical plan to map rework, standardize templates, and test AI-assisted clinical documentation without giving up physician review.
10 min read · Reviewed on Jul 13, 2026Privacy and LGPDLGPD, AI, and medical visit recording: a checklist for evaluating the workflow
A privacy checklist for medical practices evaluating recording, transcription, and medical documentation using AI, with official references from the ANPD and CFM.
11 min read · Reviewed on Jul 13, 2026PsychiatryAI for documentation in psychiatry: context, confidentiality, and physician review
How to assess AI-assisted transcription and documentation in psychiatry, with attention to context, speaker attribution, confidentiality, and professional review.
9 min read · Reviewed on Jul 13, 2026