Independent reviews for healthcare-AI products
Practical clinical-safety and content reviews for healthcare-AI startups, digital-health teams, and pediatric product builders.
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Synthetic Data in Paediatrics: Useful, Risky, and Easy to Overclaim
Real paediatric data is hard to get. Children are a protected population, consent is layered through parents and guardians, sample sizes for rare conditions are small, and the data that does exist is sensitive in ways adult data rarely is. So when a health-tech team needs test cases, training examples or a demo dataset, synthetic…
What Building Calm Story Prompts for Neurodivergent Kids Taught Me About Safe Children’s AI Content
Most children’s AI content is built for adults first and children second. The vocabulary is a little too grown-up. The story changes direction without warning. Something mildly frightening appears because it makes the plot more interesting, and nobody stops to ask whether a six-year-old listening at bedtime needed that surprise. I am a pediatrician by…
Reviewing a Telehealth Visit Tool: What Breaks When the Call Is the Clinic
The video call is the easy part of a telehealth visit. Two people, a camera, a conversation. Most tools get that right, and most demos stop there — a smiling clinician, a clear connection, a tidy ending. The visit itself is harder. It starts before the call, with identity, consent, and a parent trying to…
Re-Benchmarking After Every Upstream Model Change: A Founder’s Routine
Your product passed its safety checks in March. In April, your model provider shipped an update: a new version number, a short changelog, perhaps a note about improved reasoning. Nothing in your own code changed. Yet the answers your product gives patients have changed, in ways nobody on your team has seen yet. That is…
Reviewing a Paediatric Symptom Checker: Beyond the Questions It Asks
A symptom checker demo is a pleasant thing to watch. The presenter types in a neat set of symptoms, the tool asks a tidy sequence of questions, and a sensible-looking answer appears on screen. Everything flows. Nothing gets stuck. The audience nods. Then a real parent uses it at 2 a.m., with a crying toddler,…
Per-Domain Safety Thresholds: Why One Overall Accuracy Score Hides Paediatric Failure
The headline number is a hiding place Why one number misleads in paediatrics Step 1: Define the domains before you measure them Step 2: Set a floor for each domain, not a target for the average Step 3: Decide in advance what happens below the floor A worked example: 93% overall, 71% where it matters…
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Clinical AI Safety
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Guidance for teams building digital-health products used with children and families.
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Reviews of patient-facing content, instructions and health-literacy quality.
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Hands-on testing notes on health-tech products from a medical reviewer’s perspective.
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Practical guides for healthcare-AI founders preparing products for independent review.
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