AI agents clinicians can trust

From EHR data to agentic action.

Hospitals run on data — but most of it never reaches the people who could act on it. EHRiva gives care teams and hospital leaders AI agents that turn that data into action: less time on admin, faster decisions, smarter plans. Built with clinicians, tested before deployment.

GDPR-aligned  ·  OMOP-standardized  ·  on-prem or private cloud  ·  humans always in the loop

DATA  →  AGENTS  →  ACTION Hospital data AI agents Action Less admin · faster decisions · smarter plans
142
benchmark items built in-house
42
tasks written by clinicians
3
agent families, one data layer
2
hospital pilots in discussion
What we build

AI agents that earn their place in your hospital

Three agent families, one shared data layer — standardized to the international OMOP model, so the data under every agent is comparable, shareable, and research-grade. Every agent is tested on tasks written by real clinicians before it ever touches a patient — and every decision still ends with a human. We build with clinicians, not hand things to them: they tell us what to build, and they choose what goes live.

CliniFlow

Clinical procedure agents

Agents that sit beside clinicians — drafting notes, checking protocols, suggesting the next best step — so more time goes to patients, not paperwork.

  • Ambient documentation & smart order sets
  • Protocol checks in real time
  • Learns each hospital's own guidelines
Analytics

EHR analytics agents

Agents that spot what's coming — readmission, deterioration, long stays — and quietly nudge the right person in time to act.

  • Cohort discovery & ICD-10 coding
  • Predictions that trigger action, not just charts
  • OMOP-standardized, de-identified data layer
Operations

Hospital operations agents

A "what-if" engine for hospital leaders — try adding beds, changing shifts, or re-routing patient flow, and see the impact before you commit.

  • "What if we add 20 ICU beds?" — answered
  • Patient flow, capacity & staffing
  • Recommendations tracked and re-run
Research

Multimodal research platform

Researchers ask questions in natural language and get the data they need — EHR, lab results, and medical images assembled together, ready for analysis or model training.

  • Natural-language research queries
  • EHR + lab + imaging datasets, de-identified
  • Secure AI research environment (GPU-ready)
How it works

From connect to impact, in three steps

1

Connect

We plug into the systems you already use — the electronic health record (EHR), schedules, registries — and transform them into one clean, de-identified data layer on the international OMOP standard. No rip-and-replace.

2

Deploy

You choose which agents go live. Each one is tested on real clinician-written tasks first, runs in your environment, and keeps a human in the loop.

3

Measure

Agents suggest, teams decide, results flow back. Readmissions, wait times, freed capacity — visible in one place, month after month.

For whom

Built for the people hospitals depend on

Clinicians

Less admin, fewer surprises, more time with patients — and agents that explain themselves before they act.

Hospital leaders

Plan with confidence — see the impact of a decision before you make it, and prove it with real numbers.

Researchers

Ask in natural language, get multimodal data — EHR, labs, imaging — and build your medical AI in a secure research environment.

Tested before it touches a patient

Every agent is gated on tasks written by real clinicians — we only ship what we can prove.

Multilingual from day one

Our clinical language core works across languages and terminologies — one platform, wherever your hospital is.

International standards

We transform legacy hospital systems to the OMOP Common Data Model — the standard behind EMA's DARWIN EU — with FHIR for exchange.

Privacy by design

GDPR-aligned, deployable on-prem or in your private cloud. Your data stays yours — always.

Founders

Built by an engineer and a clinician

Headquartered in Istanbul, building for hospitals worldwide — starting with the two people who started EHRiva.

AK

Ahmet Kaplan

Co-founder · CEO & CTO

Ahmet lives in data. Big data, integrations, AI — he built the clinical text-to-SQL benchmark (paper in review at IEEE JBHI) that teaches our agents to understand hospital data.

Connect on LinkedIn ↗
SY

Suleyman Yıldırım

Co-founder · Chief Medical Officer

Suleyman works where care happens — with clinicians every day. Clinical methods and microbiology are his home turf; he makes sure every agent earns the trust it asks for.

Connect on LinkedIn ↗
Get in touch

We're piloting with a small number of hospitals

Join the waitlist — hospitals, clinicians, researchers, and partners welcome. We reply personally.

Or email hello@ehriva.com · © 2026 EHRiva · GitHub