If you’re using #Claude, it’s time to structure all your health records and signals once and forever so nothing gets misread, missed or silently omitted.
P.S. you can also connect your HDA health story to ChatGPT and some other tools. More and more integrations coming every week
If you’re using #Claude, it’s time to structure all your health records and signals once and forever so nothing gets misread, missed or silently omitted.
P.S. you can also connect your HDA health story to ChatGPT and some other tools. More and more integrations coming every week
“The cost is running out of control” because of the commissioning system, and this absolutely needs fixing.
But let’s not turn “the system failed to plan for known unmet need” into “too many people are seeking diagnosis”.
“NHS wants ADHD and autism rule change as patients ‘running out of control’” made my eyes roll so hard.
Because no, patients aren’t “running out of control”, but the costs are. And there’s quite an important difference 😖
But let’s put the misleading title aside.
For years, NHS capacity for ADHD and autism assessment has been nowhere near the actual demand.
People waited years. Some gave up, some went private, some remained undiagnosed and unsupported. There have even been people who died by s*icide while waiting for assessment.
NHS capacity didn’t remotely match demand, so Right to Choose expanded access. Private providers multiplied, services can cost anywhere from £300 to £3,000, and the quality of assessment and care, as well as continuity, vary even more.
Your privacy-first longitudinal health memory layer that structures and normalises all health signals you’ve ever produced, shows your timeline, trends and baseline and the one you can plug into AI, selectively share with doctors, insurers and health solutions: https://t.co/H3ge4eQgXd
Health Data Avatar structures every health record you've ever had, in any language from any source, combined with prompted health journaling into the patient-controlled cross-border life-long health memory layer for clinicians, insurers and AI-native healthcare to unlock unprecedented risk detection and precision medicine. We’ve been around for 2 years now, and building complex knowledge graphs and cross-format/cross-lingual private data pipelines is tough, let alone building around the cross-jurisductional challenges of granular auditif read/write access.
https://t.co/H3ge4ePJ7F
What healthcare still lacks is the structured, normalised, cross-lingual, patient-controlled data layer that is gathered once, verified, continuously enriched, actually usable, and always independent. That's what we built two years ago at @HealthDataAva and keep improving: data pipelines, knowledge graphs, and the best ways to make journaling easier and stickier.
I told a doctor trying to explain my blood tests I hadn’t been ill recently. My health data corrected me. And this is exactly why I believe prevention won’t be built on more tests, but on longitudinal health context. A story about Neko Health, HDA, and why healthcare needs memory
This is exactly what I mean when I say prevention is contextual.
Early risk detection needs patterns across time.
Most healthcare is still built around tiny, static snapshots. We already have increasingly capable AI models and keep improving them.