Sefar SolutionsQatar RareAIMVP · SYNTHETIC WORKSPACECONFIDENTIAL DEMO
Synthetic-data demonstration. Not validated for diagnosis or patient care. Do not enter identifiable or real patient records.

CLINICAL INSIGHT, MADE TRACEABLE

From scattered findings
to a clearer clinical question.

A review workspace for synthetic cases, traceable findings and versioned evidence reports.

05conditions in scope23recognised findings

FROM DEMONSTRATION TO EVALUATION

A working foundation. A defined next step.

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.

Working today

Eight invented cases, editable finding statuses, five-condition matching, source excerpts, local review history and downloadable reports.

Demonstration boundaries

Rule-based matching. No live hospital integration, trained clinical model or measured diagnostic accuracy. Percentages describe mapped findings, not disease probability.

What funding would enable

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

Common variable immunodeficiency (CVID)

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

Classical homocystinuria (CBS deficiency)

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.

0 cases · 0 saved reviews

Cases and drafts stay in this browser. Saved reviews remain versioned. Backups include saved work only. Synthetic information only.

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.

Case selectedFindings extractedEvidence matched

01 · Patient encounter

Local workspace

02 · Data capture

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.

Demo scope & limitations

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.

03 · RareAI analysis

Awaiting extraction

Confirm or correct the status. Family history and uncertain findings do not count as patient matches.

Select a case and extract findings to begin.

EVIDENCE EXPLORER

04 · Results for clinician

Matches are limited to five selected conditions. Percentages show finding coverage, not disease likelihood, risk or diagnostic confidence. Ranking uses present finding counts.

Reviewed findings will appear here as traceable condition matches.

Evidence trail

Excerpts come from the current synthetic narrative. Disease references support the general knowledge mapping; they are not evidence that this patient has a disease.

05 · Clinical review & decision

Record the clinician's simulated decision independently of the matching output. No orders or referrals are sent.

06 · Follow-up & learning

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.

Case history

Built for a clinical conversation

A clinician defines the use case and reference diagnoses; Sefar supplies the engineering workflow. This MVP does not assert a confirmed institutional partnership.

Next validation gate

Clinical review of the knowledge set, approved data access, independently labelled records and a prespecified evaluation protocol before any patient-facing testing.

TECHNICAL TRANSPARENCY

What this prototype actually does

  1. Split an English note into simple clauses and match 23 predefined findings.
  2. Tag each finding as present, absent, uncertain, family history or not mentioned. Conflicting mentions become uncertain.
  3. Let the reviewer correct any tag and add a recognised finding the parser missed.
  4. Count present findings for each condition. Show a condition only when at least two mapped findings are present. Ties use alphabetical order.
  5. Display supporting, absent and unresolved evidence plus a reference link.

The two-finding threshold is an arbitrary demonstration gate, not a clinically validated threshold. Features have equal weight. Absent findings are displayed but not penalised. All source summaries and mappings need clinical review.

What is not implemented

Trained NLP/ML, HPO identifiers, RAG/LLM generation, FHIR integration, audit-grade storage and clinical validation. They belong to a subsequent approved development phase.

Data handling

Extraction and matching run in your browser. In local mode, cases and drafts use browser storage. In configured cloud mode, cases, saved reviews and private drafts are sent to your Supabase project after login. Workspace backups include these narratives; PDF reports include synthetic evidence excerpts and review notes; analysis JSON reports do not include the narrative. Cloud workspace membership controls access; tokens remain in memory and refreshing requires login. External references open only when clicked. This is not a production security design.

New synthetic case

Use invented demonstration data only.