For Coding Teams

THE PROFESSIONALS WHO TURN CLINICAL INFORMATION INTO FUNDING INTEGRITY

A cleaner starting point for every coding review.

NexusMD.ai prepares review-ready coding recommendations backed by clinical evidence, helping coding teams spend less time searching across fragmented records and more time reviewing and judging cases.

Book a Demo See how it works

The everyday reality

Coding shouldn't start with searching.

Too much time is spent piecing together fragmented documentation before coding can even begin.

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Fragmented documentation

Clinical information is scattered across progress notes, pathology, radiology, discharge summaries and handwritten records.

Too much searching

Finding supporting evidence often takes longer than assigning the code itself.

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Endless clarification

Incomplete documentation leads to repeated queries back to clinicians, delaying coding and increasing administrative effort.

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Growing backlogs

Manual first-pass review limits throughput and makes it difficult to keep pace with demand.

Great coding starts with great clinical information.

High-quality coding depends on high-quality clinical documentation. When clinical information is captured accurately from the very first patient interaction, coding teams receive stronger documentation, fewer gaps to resolve, and better evidence to support every coding decision.

By the time a record reaches coding, the foundation has already been built.

human in the loop by design

AI captures, structures & drafts

Documentation ready for review

Clinician review & approval

Edit and approve before the record is finalised

AI recommends medical coding

Evidence referenced

Coder review & approval

Edit, approve or override coding outputs

Complete & compliant records for billing

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Governed. Traceable. Connected.

Human oversight at every step. Full audit trail.

Better documentation. Stronger coding. Protecting funding integrity.

How your work changes

Spend less time searching.
More time reviewing.

Instead of starting from fragmented documentation, NexusMD.ai prepares coding recommendations and supporting evidence before review begins, allowing coders to focus on validation rather than reconstruction.

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Start with one complete patient record.

Clinical information from multiple sources is consolidated into a single coding workspace.

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Begin with review-ready recommendations.

ICD-10-AM, ACHI and AR-DRG recommendations are prepared together with a concise medical synopsis.

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Verify every recommendation with confidence.

Every recommendation links directly back to the supporting clinical evidence.

Transparent reasoning makes disagreement easy to resolve

speed

Complete more reviews every day.

Spend less time searching for information and more time applying professional judgement.

Coder control

AI recommends. Coders decide.

NexusMD.ai supports coding teams by preparing recommendations, not making decisions. Qualified coders remain responsible for reviewing, editing and approving every coding outcome.

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check Edit or override suggested codes

check Raise clinician queries where required

check Approve the final coding outcome

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Coding review interface — recommendation, evidence, approve / edit / override

Trusted for Australian coding

Built around Australian coding practice.

Designed to support Australian coding standards while keeping qualified coders at the centre of every coding decision.

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IHACPA-certified AR-DRG grouping

Certified for AR-DRG Versions 9, 10, 11 and 12.

Applied after coder approval.

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Australian coding standards

Supports ICD-10-AM, ACHI and AR-DRG classification used across Australian healthcare.

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Evidence-backed recommendations

Every coding recommendation links directly to the supporting clinical documentation, providing transparency and auditability.

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Give coding teams a better place to start.

See how NexusMD.ai helps coding teams review faster, reduce backlog and strengthen funding integrity.

Book a Demo Talk to Our Team