Arkangel AI

La IA en salud no tiene un problema de adopción. Tiene un problema de profundidad. Muchos ya la usan. Muy pocos están cambiando cómo toman decisiones. Después de analizar el modo en que +100,000 actores del sector, médicos, aseguradores, farmaceuticas y hospitales, interactúan con la IA: Comprobamos que la brecha no es tecnología. Es qué tan profundo la integras en tu operación. Si no pasa de “experimentar”, no transforma nada. Creamos este test para hacer sencillo tu diagnostico actual de integración de IA: arkangel.ai/ai-readiness-a… Pruébalo, cuéntanos en qué etapa estás y obtén una guía clara para llevar tu práctica a un mayor nivel.

Every denied claim costs money and time. And most denials are predictable. Before billing, AI validates: • Clinical history • Claim data • Payer policies Catching errors before submission. Result: are around 70% fewer denials . Learn more at: arkangel.ai/solutions/paye…

Manual SOFA scoring in the ICU had 33% completeness for the respiratory component. With AI: 100%. AI-powered risk flagging helps prioritize sepsis and patient deterioration in a high-complexity hospital. Learn more: arkangel.ai/en/research

Denegaciones = dinero y tiempo perdidos. Validación automática antes de facturar: historia + liquidación + políticas. ~70% menos denegaciones documentado. arkangel.ai/solutions/paye…

Oncology and cardiology: 3–5x more codes per case. Automated coding: 95%+ precision, zero backlog, validated in a large academic hospital. arkangel.ai/outpatient-cod…

Gap de revenue por sub-codificación es de 5-15% en hospitales. La IA identifica cargos perdidos antes de facturar. Esto representa hasta 15% de aumento. Analiza el impacto que podría representar esto para tu hospital en arkangel.ai/revenue-discov…

Sub-diagnosis in COPD, dementia or diabetes can reach 60–70%. AI enables large-scale screening of eligible patients. In CKD with T2D, our model reached 90% sensitivity across 6 countries in collaboration with a global pharma. In SMA we used the same approach to surface undiagnosed patients. See the impact AI could make for your patient population arkangel.ai/pharma-screeni…

Esto es Arkangel AI en números : +100K médicos acceden a evidencia en tiempo real. En ensayo con 71 médicos: Arkangel AI logró respuestas en 22% menos tiempo, 30% menos búsquedas. vs ChatGPT/MediSearch: con 92,9% satisfacción. Pruebalo arkangel.ai/ai-for-doctors

Leading SOAT insurer in Colombia: 800 claims/month, 30 audited (3.75%). ~$39M COP at risk. With AI: 5,000 reviewed, 100% coverage, 86% less time. arkangel.ai

Gap de revenue por sub-codificación es de entre: 5-15% en hospitales. Identificamos cargos perdidos antes de facturar. Hasta 15% de aumento documentado. Aprende a aplicarlo en : arkangel.ai/revenue-discov…

We found a medical coding game this week… and it honestly gave us a few good laughs 😅 But it also reminded us of something important: medical coding is serious work, deeply technical, detail-driven, yet there’s room for creativity, better tools, and even fun along the way. So we pulled together a small list of things we’ve been exploring lately for medical coders: → AI assistants for coding & billing → workflow automations → study tools → and yes… even a game. If you’re a medical coder (or work closely with one), these resources are meant to save time, sharpen judgment, and make daily work a bit lighter. Take a look here 👇 arkbrain.notion.site/AI-innovations… And if you’ve found tools that actually help in real life — drop them below. Always curious.

100,000+ healthcare professionals now use Arkangel.AI to make better clinical decisions. Not to replace their judgment, to augment it. From differential diagnosis to treatment plans, evidence-based answers in seconds. The future of clinical decision support is here. check it out 📷

. @arkangel_ai analyzes 100% of unstructured clinical data, surfacing hidden signals for earlier intervention. 📈 High-severity sepsis detection: 17% → 48% Peer-reviewed study | 284 patients 📊 Full paper 👇 medrxiv.org/content/10.648…

We invested hours curating and recording this content so you can save 5–10 hours every week with these AI medical automations. Test them, share your feedback, and tell us which ones you’d like next. We’re confident they’ll make a real difference in your workflow. Take look here: arkbrain.notion.site/Top-10-Key-AI-…

Think of revenue cycle management like american football. every revenue leak is a bad pass. you keep throwing. you rehearse the play. the ball moves forward… but always comes back. lost charges, weak documentation, denials. the claim goes out, but the money never really arrives. most teams keep watching game film. weeks later. when the drive is already dead. winning requires reading the field in real time. that’s where clinical AI actually matters. not automation for its own sake, but anticipation: spot missed charges before the claim goes out, flag documentation gaps early, predict denial risk pre-bill, see where the system breaks again and again. especially in high-complexity areas like oncology, moving from reactive cleanup to proactive defense changes the game. the real question isn’t if this is possible. it’s how many bad passes you’re still throwing.

@HealthcareAIGuy @CBinsights Arkangel ai 👁️☝️

14 new healthcare AI or AI-enabled unicorns emerged in 2025 (~3x vs. 2024) • Abridge • Ambience • Chapter • Enveda • Function • Hippocratic AI • Judi Health • OpenEvidence • Pathos • Tala Health • Thyme Care • Truveta • Chai Discovery • Neko Health Who’s next?