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Eight invented cases, editable finding statuses, five-condition matching, source excerpts, local review history and downloadable reports.
Qatar RareAIMVP · SYNTHETIC WORKSPACECONFIDENTIAL DEMORAREAI SHARED WORKSPACE
Synthetic cases only. Accounts are invited by your administrator. Sign in again after refreshing this page.
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Starts with the built-in synthetic cases. Your administrator can add invited reviewers to this workspace.
CLINICAL INSIGHT, MADE TRACEABLE
A review workspace for synthetic cases, traceable findings and versioned evidence reports.
FROM DEMONSTRATION TO EVALUATION
Follow a synthetic record through extraction, evidence matching, human review and documented follow-up. The purpose is to demonstrate a reviewable workflow, not diagnostic performance.
Eight invented cases, editable finding statuses, five-condition matching, source excerpts, local review history and downloadable reports.
Rule-based matching. No live hospital integration, trained clinical model or measured diagnostic accuracy. Percentages describe mapped findings, not disease probability.
Clinical knowledge review, an approved evaluation dataset, secure integration engineering and a prespecified independent evaluation. Partner involvement and approvals remain to be agreed.
Suggested demonstration: choose a case → extract and review → match → inspect evidence → record a simulated decision → download the report. Also show the insufficient-evidence case.
LEAD DEMONSTRATION / IMMUNOLOGY REFERRAL SUPPORT
Could connecting infection history and antibody findings across visits help clinicians identify who warrants specialist review? This is the question to evaluate, not a proven benefit.
The lead case contains four invented visit entries. The engine matches phrases across the note; it does not perform temporal reasoning, interpret numeric lab results or exclude secondary causes. Age, repeat results, medication effects, protein loss and alternative immune disorders require specialist assessment.
CVID consensus reference | Qatar cohort reference
The Qatar publication includes CVID in a selected malignancy cohort; it does not establish population-wide diagnostic delay. No institutional endorsement. Research rules await clinical review. Not RAG.
SECONDARY DEMONSTRATION / HOMOCYSTINURIA
Explore two invented cases using a small, source-linked finding map. This is a rule-based addition, not RAG, and it has not been clinically reviewed or validated.
Homocystinuria is documented in Qatar and is already part of newborn screening. This demonstration does not replace screening or show that screening failed. A metabolic specialist must define the additional clinical use case.
Clinical reference: GeneReviews · Qatar context and screening: HMC
Sources checked 6 October 2026. References are not institutional partnerships or endorsements. No treatment recommendations or diagnostic probabilities are generated.
Clinical workflow demonstration · October 2026. All stages use synthetic data. Data transfer, clinical actions and learning are simulated; no hospital connection or automatic model training.
Manually entered or preloaded synthetic text. No EHR, FHIR or HL7 connection.
Try changing a finding to “No tremor” or “Possible proteinuria” to see how context changes the output.
This is a rule-based prototype, not a trained clinical AI model. It recognises a small English vocabulary and simple negation, uncertainty and family-history phrases. It does not understand full clinical context, temporal relationships, lab ranges, genetics or other diseases.
Review all extracted findings before matching. Missing information is never treated as an absent finding.
Confirm or correct the status. Family history and uncertain findings do not count as patient matches.
EVIDENCE EXPLORER
Matches are limited to five selected conditions. Percentages show finding coverage, not disease likelihood, risk or diagnostic confidence. Ranking uses present finding counts.
Excerpts come from the current synthetic narrative. Disease references support the general knowledge mapping; they are not evidence that this patient has a disease.
Record the clinician's simulated decision independently of the matching output. No orders or referrals are sent.
Feedback is saved for human review only. It does not retrain or change the matching engine. A pending follow-up can be updated in a later saved version.
A clinician defines the use case and reference diagnoses; Sefar supplies the engineering workflow. This MVP does not assert a confirmed institutional partnership.
Clinical review of the knowledge set, approved data access, independently labelled records and a prespecified evaluation protocol before any patient-facing testing.