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TellParrot for Healthcare

Match patient records with the caution healthcare demands

Duplicate and fragmented patient records are a safety issue, not just a data issue. TellParrot matches with evidence, merges only with approval, and audits everything.

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The problems we solve for healthcare teams

Duplicate patient records create clinical risk

The problem

Registration under slightly different names splits one patient's history across records. Clinicians see partial pictures; recalls and results go astray.

How TellParrot solves it

Configurable matching (exact identifiers, phonetic names, fuzzy contact details) surfaces likely duplicates as clusters with per-field evidence. A required-field gate stops name-only look-alikes from ever merging, and every merge needs steward approval.

→ Duplicates resolved deliberately — with an audit trail per decision.

Provider directories are perpetually stale

The problem

Practitioner details change constantly across credentialing, rostering and referral systems. Wrong provider data misroutes referrals and payments.

How TellParrot solves it

Provider golden records ingest from every source, with data-quality rules flagging stale or incomplete entries and AI agents queueing the worst records for review, ranked by quality score.

→ A provider directory that converges on correct instead of drifting.

Privacy requests touch every system

The problem

Access and correction requests require searching systems that don't share identifiers — slow, manual, and hard to evidence.

How TellParrot solves it

Because records are mastered with cross-source identifiers, DSAR workflows locate a person's data across systems in one search, with fulfilment steps recorded on the audit chain.

→ Privacy responses that are fast, complete and provable.

Research and AI need governed data

The problem

Clinical AI and research extracts demand documented consent posture, quality and provenance — usually assembled by hand per project.

How TellParrot solves it

Data domains carry classification, retention and quality state; the AI register connects models to their data inputs and impact assessments; governed exports document exactly what left and why.

→ Ethics and governance reviews that start from live evidence, not spreadsheets.

How TellParrot matches patients with the caution it demands

Clinical and administrative systems feed one governed patient — matched with evidence, merged only with approval, audited throughout.

Source systems
EMR / clinical
Registration
Referrals
Credentialing
ingest & match
TellParrot
platform
One governed platform
Ingest & map
Match & merge
Govern & catalog
AI governance
governed exports
Consumers
Clinicians
Referral routing
Privacy office
Research / ethics
Duplicate patient records resolved deliberately — with a required-field gate and an audit trail per decision.

Capabilities doing the work

Evidence-based patient matchingRequired-field merge gatesProvider directory qualityDSAR across systemsAI register for clinical modelsGoverned research exports

Patient matching that never merges on a name alone

A required-field gate demands corroboration before a cluster can even be approved — the platform's guarded review screen.

app.tellparrot.com/health/matching/cluster-7741
Golden Records
Matching
Data Quality
Retention
Audit Log

Patient match review · Cluster 7741

Score 0.90Gate: passedReview required

Required-field gate: MRN or DOB must corroborate before merge

0.90
Match score
2
Records
MRN
Corroborating id
FieldRecord ARecord BMatch
NameSarah-Jane O'NeilSJ O'NeilFuzzy
Date of birth1991-11-031991-11-03Exact
MRNMRN-40218MRN-40218Exact
Address22 Marine Pde22 Marine ParadeFuzzy
Approve mergeRejectEscalate

Frequently asked questions

Is matching safe enough for patient data?

Matching never auto-merges. It produces scored clusters with per-field evidence; required-field gates demand corroboration (for example, an identifier match) before a cluster can even be approved; and stewards make the final call with survivorship previews.

How is sensitive data protected?

Role-based access, field-level access controls, region-pinned hosting with Australian residency, dedicated per-tenant databases, and a tamper-evident audit chain over every change.

Can we govern research data extracts?

Yes — governed exports run under policy, record field-level provenance, and produce receipts confirming what was delivered where.

Related industries

Government & Public SectorInsuranceHigher Education

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