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NANO MCRW

NANO Medical Coding Rules Wizard

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Enhance your capability to code and bill accurately with Nano Medical Coding Wizard

One of the main advantages of our medical coding wizard is that it enables users to select more specific codes by laying considerable built-in rules. Our software allows eliminates coding oversights and ensures accurate coding. It also ensures that submitted claims meet all nationally-accepted coding guidelines. Frequently, this results in fewer denials and a higher reimbursement level.

Another benefit of the Nano Medical Coding Wizard is the cross-walk feature which automatically matches the ICD diagnosis codes with appropriate CPT/HCPCS codes within your encounter, thus showing the medical necessity for procedures performed. It is often challenging for the medical records attendants to locate the CPT code that accurately communicates to ICD-10 coding. Team members may devour valuable time scanning from one book to another, exploring indexes, only to choose matching codes with intermixed results.

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With the Nano Medical Coding Wizard, errors stemming from mismatched codes have been practically eradicated, and the time to match codes has been remarkably diminished.

Another big plus, according to the users, is timely upgrades. Medical records divisions assess repayments gain because they are now sure the diagnosis is being coded all the time accurately, leading to the highest reimbursement level allowable for each case.

In NANO deployments the time to code a patient record has fallen by around 10%, and physicians are reimbursed appropriately for the services they delivered.

Our tools foster documentation and function improvement throughout the coding process. We improve performance throughout the revenue cycle from decision-making. Nano Medical Coding Wizard can substantially boost reimbursements by streamlining the coding procedure, identifying encountered diagnoses, and alerting coders to potential missing processes. Characteristics such as patient gender, age, diagnoses, clinical guidelines, and discharge status are employed to fine-tune the data.

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Clinical Coding and Billing Edits

The NANO Medical Coding Wizard carries a full suite of professional, institutional and differential reporting edits, covering a wide range of specialties and clinical settings. The edits deploy at several points in the revenue cycle and check encounter and claim data from the payer's perspective — which is the whole point, because it means corrections happen before filing rather than after a denial.

The rules engine improves claim validity and coding accuracy, and the cash-flow benefit follows from that: a claim that is right when it leaves is reimbursed sooner, and the staff time that would have gone on reworking it is never spent.

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Reimbursement Management

Over-coding and under-coding of medical services can affect your revenue and increase the risk of audits and civil penalties. Our tool simplifies medical coding using history and exam elements – incorporated with risk and diagnosis sense of intelligence – to confine to authentic medical decision-making. Our proprietary computation method defines risk for labs, x-rays, diagnostic tests, and other management options to ensure precise medical complexity. The outcome is accurate, audit-ready assures ultimate reimbursement.

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Medical Code Look Up

Our intuitive code search tool is an alternate for time-consuming, manual diagnosis and procedure code quests. Our comprehensive search engine is designed to locate the exact code from the clinical viewpoint employing the official condition, common name, medical acronym, or anatomical area.

Our diagnosis code search guarantees coding to maximum carefulness in complement to driving for needed outward reason codes, “utilize additional” and “code first” rules, and underlying disease scenarios for ICD-10. Our procedure search provides add-on codes and can guide further commonly-billed procedures to confirm appropriate reimbursement.

More about this product

Standards and code sets

  • ICD-10
  • CPT
  • HCPCS

How this works with the rest of the suite

  • NANO CSS

    The wizard improves the code as it is chosen; the scrubber verifies what was chosen before the claim leaves.

  • NANO AI CDI 360

    A specific code needs documentation specific enough to support it, which is what documentation integrity produces.

  • NANO DRG

    Grouping reads the codes — a more specific code is often the difference between one group and the next, and therefore between two payments.

  • NANO MAS

    Auditing tells you where coding went wrong across the whole claim set; the wizard is where that finding gets applied.

Frequently asked questions

What does a coding rules wizard do?

It applies built-in coding rules while the encounter is being coded, so the coder is steered toward the more specific code rather than the first acceptable one. That is the point at which the choice is cheap to influence; every later stage can only detect that the wrong code was used.

What is a cross-walk, and why does it matter?

It automatically matches the ICD diagnosis codes in an encounter to the appropriate CPT and HCPCS codes. Locating the CPT code that accurately corresponds to an ICD-10 diagnosis is genuinely hard by hand — it is the scanning from one book to another that consumes a coder afternoon — and the matched pair is what shows medical necessity for the procedure performed.

Does specificity actually change reimbursement?

Yes. Submitted claims that meet nationally accepted coding guidelines produce fewer denials and a higher reimbursement level, and under a classification-based model a more specific diagnosis can place the episode in a different group entirely. Coding accuracy is not an administrative virtue; it is the price.

How much time does it save?

In NANO deployments the time to code a patient record has fallen by around 10%. Errors from mismatched codes have been practically eradicated, and the time spent matching codes is substantially reduced — which is mostly the scanning between references disappearing.

What does it use to narrow the answer?

Patient gender, age, diagnoses, clinical guidelines and discharge status. Those are the same characteristics a grouper and a payer will apply later, which is why applying them at coding time is what prevents the disagreement rather than documenting it.