Extract clinical data
Read clinic letters, genetic reports, pathology results and PDFs—and turn them into structured, reviewable data.
What ArioMed does
Clinical information arrives as documents. We turn it into data teams can use.
Healthcare teams still spend hours reading clinic letters, PDFs and reports, then entering the same information into registries and disconnected systems.
ArioMed uses AI to extract the facts, preserve their source and present every field for human review before anything is submitted.
One clinical workflow
AI handles the repetitive work. Clinicians and data teams remain in control of every decision.
Read clinic letters, genetic reports, pathology results and PDFs—and turn them into structured, reviewable data.
Identify medications, mutations, tests, infections and timelines, ready for registries and clinical systems.
Surface missing information and follow-up actions so teams, patients and families stay aligned between visits.
First product
Bring in clinic letters, laboratory reports, genetic results and existing records.
See suggested registry fields alongside the exact source they came from.
Approve the data and send it to REDCap, CSV, FHIR or an existing workflow.
Genotype: F508del / G551D. FEV1 today was 72% predicted. Weight 54.8 kg; BMI 20.6. Continues ivacaftor…
Illustrative data onlyHow the platform grows
Founding clinical use case
Concept · Pre-pilotCF care happens every day, while clinical contact is episodic. ArioMed is exploring a continuous-care layer that connects the patient or parent's daily plan with a clinician-owned review workflow.
The data foundation
The Registry Assistant can extract high-value CF data from clinic letters, genetic reports, results and historical records. Every suggested field keeps its evidence and remains subject to human review.
Make the next care-plan action clear—what is due today, what has been completed and what needs attention.
Let patients and parents capture questions, changes and concerns naturally, including by voice, and structure them for review.
Escalate the right concern with its source, recent care context and a clear owner—so the CF team can review and decide.
Designed with clinical guardrails
What we need to prove
Co-design daily tasks, caregiver roles and escalation thresholds.
Pilot one bounded workflow with a CF clinical team.
Measure completion, review burden, escalation quality and safety.
The same care-plan-grounded workflow could later support other complex chronic and respiratory conditions—then broader aged and disability care.
Accessible by design
ArioMed is designed to meet people through a channel they can actually use—from documents and digital forms to a simple voice conversation. This could help an older person, someone with limited mobility, or a person who finds apps difficult remain connected to their care.
One continuous-care platform.
Different ways to be heard.Use a familiar phone call when downloading an app, navigating menus or typing is difficult.
Report a change, ask a question or confirm a care-plan action in everyday language.
Turn the conversation into a structured, reviewable summary for a carer or clinical team—not an automated clinical decision.
No app or complex interface required
Question, change, completion and urgency cues
Carer or clinical team retains control
Voice-first is an access channel—not a separate product and not a replacement for emergency services, carers or clinical judgement.
The larger vision
We're starting with registry workflows and building toward an intelligent coordination layer that helps care continue across teams, systems and every moment in between.
Founded by Shahin Tabary—an enterprise software builder with experience in digital health and e-prescribing, and lived experience as a parent in the CF community.
Start a conversation
Tell us where clinical information gets stuck, repeated or lost. We'll reply to arrange a focused conversation about co-design, a registry workflow or a bounded pilot.