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AuraDentAuraDent

Dental chart reconciliation and evidence traceability

Every dental chart change should show its evidence.

Dental records can draw from prior charts, current findings, transferred data, and AI-assisted tools. AuraDent is being designed to turn those sources into a focused change set that a qualified clinician can review before anything reaches the official record.

Concept-stage. No patient data is collected through this website.

Illustrative concept · Not for clinical use

Sources

Existing chart
Transferred record
Approved finding

Review queue

Change #1Source A
Change #2Source B

Approved

Reconciliation packet
Patient summary

AuraDent is not currently a cleared or clinically available diagnostic product. Intended use and regulatory status remain under review.

Why this workflow matters now

Dental AI can generate more findings. The record still needs governed review.

FDA-cleared dental radiographic AI products exist, and current vendors increasingly combine detection, charting, voice documentation, and patient education. That progress makes a new question more important: how does a source or suggestion become an approved chart change with visible accountability?

More sources

Prior records, images, notes, migrations, and AI-assisted findings can influence the chart.

More workflow automation

Automation can reduce repetitive work, but it can also make provenance and review less visible.

More need for trust

Clinical teams need to separate source evidence, system proposals, clinician decisions, and final exports.

Category evolution — dental AI from detection to reconciliation
Detection
Documentation
Integration
Reconciliation and provenance

AuraDent's proposed focus

Third-party product references are based on public materials and do not imply partnership.

A fragmented change process

The final chart may not reveal the path that produced it.

A reviewer may need to compare an existing odontogram, transferred records, current approved findings, and other documentation before deciding what should change. The work can be difficult to standardize, especially during new-patient baselines, practice migrations, and multi-site quality review.

Chart Record

?What changed?
?Which source supported it?
?Was the item reviewed?
?Who approved it?
?What remains unresolved?

Before and after AuraDent's proposed reconciliation

Before — scattered evidence

Before AuraDent — scattered dental charts and disconnected evidence

Disconnected sources

After — evidence-linked changes

After AuraDent — organized, traceable chart reconciliation

Source-linked, reviewed

Evidence note

ADA guidance emphasizes complete, accurate, consistent documentation and appropriate chart auditing.

The frequency and economic cost of this problem in the target segment are still being validated.

Dentist planning and reviewing workflows

A focused initial wedge

Begin with trigger events where reconciliation is visible and owned.

AuraDent is not attempting to redesign every dental visit. Initial beta research is focused on bounded workflows with a clear owner and measurable baseline.

N

New-patient baseline

Align prior chart data with current clinician-approved findings.

P

Practice migration or acquisition

Review transformed or transferred chart data before it becomes the new operational baseline.

M

Multi-site quality review

Create a consistent review process across locations.

D

Dental-school clinic

Make supervision, source evidence, and review decisions more visible.

Tell us about your workflow

The beta program will select one use case, not all four.

The proposed approach

Turn fragmented evidence into a clinician-reviewed change set.

AuraDent would normalize existing chart data and approved findings, identify meaningful differences, and show the source behind every proposed change. A qualified reviewer would accept, edit, reject, or defer each item before an export is created.

1

Import and normalize

Bring one approved chart export and one structured finding source into a consistent schema while preserving origin.

2

Compare and focus

Surface additions, conflicts, missing mappings, and unresolved items.

3

Review with evidence

Keep source references visible beside each proposed change.

4

Preserve accountability

Record reviewer, status, rationale, and timestamp.

5

Export approved changes

Create an audit-ready PDF or CSV before any future production integration.

6

Explain approved information

Create patient-friendly language from clinician-approved entries only.

Explore how it works

These capabilities are proposed. No diagnostic analysis or PMS write-back is available through this website.

Illustrative product concept

Review the change-not the entire record from scratch.

Illustrative concept · Not for clinical use
Case SYN-1042New-patient baseline
4 of 7 items resolved

Tooth 30 - existing crown

Current chart: No restoration recorded

Needs decision
Prior chart exportClinician-approved finding

Tooth 19 - surface mapping conflict

Current chart: MOD filling

Deferred - source image unavailable

The interface concept keeps the current value, proposed value, source, and reviewer action in one place. It is not a diagnostic result and does not represent a real patient.

Human control by design

Source, suggestion, decision, and final output stay separate.

The first design principle is not "one-click automation." It is visible responsibility. AuraDent is intended to preserve the difference between what a source says, what the system proposes, what a clinician decides, and what is ultimately exported.

1

Source

Original evidence and findings

2

Proposed change

System-identified difference

3

Clinician decision

Human review and action

4

Approved output

Verified export or summary

No silent chart update.

No patient-facing statement from unapproved data.

Source visible behind material changes.

Uncertainty remains visible.

Qualified reviewer remains responsible.

Audit history records decisions.

Data collection is limited to the agreed purpose.

Read the methodology

Human review does not automatically determine regulatory classification. Intended use must be assessed with qualified counsel.

Dentists collaborating on a chart reconciliation workflow

A controlled first test

Eight weeks to test the workflow-not to deploy autonomous diagnosis.

The proposed beta uses approved historical cases and one defined chart-reconciliation workflow. It is designed to determine whether AuraDent reduces review burden or improves discrepancy resolution enough to justify a larger clinical and regulatory program.

1
2
3
4
5

Beta includes

  • Current-state workflow mapping.
  • One approved data format.
  • 50-150 retrospective cases, subject to governance.
  • Source-linked discrepancy review prototype.
  • PDF and CSV reconciliation export.
  • Baseline-versus-beta analysis.
  • Final go / no-go recommendation.

Beta excludes

  • Autonomous diagnosis.
  • Public image uploads.
  • Automatic production write-back.
  • Treatment recommendations.
  • Consumer access.

The website does not collect patient data. Beta requires separate agreements, security review, and approved data handling.

A narrower position

Not another detector. Not a PMS replacement.

Current dental AI vendors already offer detection, automated charting, voice documentation, patient communication, and workflow features. AuraDent's proposed focus is the governed handoff across sources: a reviewable change set with provenance before the official record is updated.

Dental AI detector

Typical scope

Generates or highlights specified findings.

AuraDent's focus

Reconcile approved findings with existing chart data.

Practice-management system

Typical scope

Stores the official record and supports practice operations.

AuraDent's focus

Provide a controlled review process before export.

Manual checklist

Typical scope

Flexible and familiar.

AuraDent's focus

Make discrepancies and sources structured and traceable.

Patient education tool

Typical scope

Explains findings.

AuraDent's focus

Derive explanations only from clinician-approved entries.

Product capabilities and competitor details can change. Third-party names do not imply partnership.

What is known-and what is not

We are building the evidence before building the claims.

Known category facts

  • FDA-cleared dental radiographic AI exists.
  • Current vendors already market auto-charting, voice, and patient-education workflows.
  • Dental records require accuracy, consistency, and appropriate documentation.

Not yet proven for AuraDent

  • Frequency of the target reconciliation problem.
  • Time or cost saved.
  • Clinical accuracy.
  • Patient comprehension improvement.
  • Willingness to pay.
  • Integration feasibility.
  • Regulatory classification.
  • Product-market fit.

Beta fit

The right partner has a real workflow, an accountable owner, and a reason to measure it.

Good fit

  • A defined new-patient, migration, acquisition, or quality-review workflow.
  • A named clinical or operations sponsor.
  • Qualified reviewers available.
  • A lawful pathway to approved historical cases.
  • Willingness to measure baseline and beta outcomes.
  • A decision process after the beta.

Not a fit yet

  • Looking for instant autonomous diagnosis.
  • Looking for a free clinical image analyzer.
  • No ability to support privacy or data governance.
  • No named owner or decision timeline.
  • Seeking a replacement for the entire PMS.
  • Wanting to submit patient data through the public site.

Frequently asked questions

Design the first controlled test

Is chart reconciliation a recurring problem in your organization?

Share the workflow-not patient data. We are speaking with dental clinical and operations leaders to determine where a source-linked review process could create measurable value.

No patient information, clinical images, or records should be submitted through this site.

EvidenceJudgmentTrusted record