Who uses AI healthcare tools? Doctors.
Their requirements are simple:
Tools that fit their workflows, solve real problems, and deliver results.
That’s why they need to be involved in shaping these tools from the start.
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Our peer-reviewed study found agentic AI can:
↪ Meet clinic quality standards (98.4%)
↪ Improve ICD-10 coding accuracy
↪ Reduce admin without adding risk
Less paperwork. More patient time.
🔗 Read the research here: biomedeng.jmir.org/2025/1/e6…
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AI only works when it's deployed.
And the Gulf is taking AI healthcare from theory to practice.
In the GCC, business-friendly regulations enable healthtech companies to implement AI solutions fast and effectively, without compromising patient safety.
The results speak for themselves:
→ Time saved
→ Improved data quality
→ Reduced burnout
Real-world lessons, real impact.
Keep watching below.
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The future of healthcare AI is being built in the Gulf.
↪ AI-first hospitals
↪ Centralised data systems
↪ Region-wide digitisation strategies
And tangible results driven by patient-focused care.
The Gulf isn't keeping up with global trends. It's setting them.
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Diagnostic errors rarely come from “not knowing enough”. 🤨
A classic Archives of Internal Medicine review of 100 real diagnostic error cases found harm in 90, including 33 deaths. In the 93 cases that were not “no fault”, investigators identified 548 contributing factors, about 6 per case. Cognitive factors featured in 74% of cases, and the most common thinking failure was faulty synthesis. Premature closure (stopping the diagnostic search too soon) was the single biggest contributor. ✨
Now add the modern reality: administrative overload, duplicated documentation, exploding evidence, and fragmented systems. All of it increases cognitive load, making those shortcuts more likely.
Reducing diagnostic error is not about telling clinicians to “try harder”. It is about designing systems that make the right thing the easy thing.
Rhazes is built for that: one coherent patient story, less noise, better prompts, and closed-loop follow-up. 👌
Which cognitive trap do you see most: premature closure, anchoring, confirmation bias, or availability bias?
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We thought distribution was the hard part.
Healthcare taught us otherwise.
Our journey from product ideation to development to distribution revealed a much bigger challenge.
Keep watching to hear what it takes to build in the healthcare space. ⬇️
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Is it bad luck, a careless clinician, or the system? 🙄
Actually, it's usually cognitive bias under pressure. In United States outpatient studies, diagnostic errors affect at least 1 in 20 adults each year, and postmortem research suggests they contribute to about 1 in 10 patient deaths. Researchers found a cognitive factor was involved in 74% of cases of diagnostic error and the single most common culprit was premature closure: stopping once an early diagnosis feels "good enough". Then anchoring, confirmation bias, availability bias, and diagnosis momentum do the rest.
It's rarely lack of knowledge. It's how humans think when the stakes are high.
That's where technology can be a helping hand and what Rhazes is built to counter. 👌
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Our new website is now live. ✨
Discover how RHAZES unifies documentation, clinical decision support, EHR assistance, and coding within one intelligent, end-to-end AI workspace designed for clinicians. 👌
Explore the platform:
🔗 rhazes.ai/
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Our goal at Rhazes? Make it easier for doctors to care for patients.
During development, we faced three main challenges:
1️⃣ Complex healthcare systems
2️⃣ Institutional bureaucracy
3️⃣ User experience
Our CEO @Zaidalfagih outlines our approach in the video below.
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The right name can help your business stand out (or leave it hidden in the shadows).
For us, it was important that our name pointed to a couple of things:
↪ Our medical roots
↪ Our focus on tech & innovation
↪ A sense of universality
Find out how we got our name below. ⬇️
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We’ve just shipped one of our biggest Rhazes updates yet. A refined, more intuitive interface, a stronger chat engine, major transcription improvements, better accuracy across all tools and the brand-new Spaces feature.
Read the full update here:
rhazes.ai/blog/RhazesUpdate
Try it free at:
clinician.rhazes.ai
Regulation – a term that makes every healthtech founder cringe.
But should it?
Regulation should encourage innovation, not slow it down.
🎧 Listen to our CEO @Zaidalfagih break this down below.
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