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Financially Efficient Intelligent Coding

Zotec's intelligent coding combines AI-powered automation with expert oversight to reduce denials, accelerate reimbursements, and ensure complete, compliant documentation every time.

AI with Human Coding Accuracy

Our proprietary, in-house Z-Coder enhances human coding infrastructure and gains unparalleled insight into end-to-end coding operations. Functionality includes:

EM Leveling

CPT Codes

ICD-10

Provider Assignment

MIPS/MACRA

RFI, Clinician Education and Documentation

Metadata Extraction

Reporting and Business Intelligence

Code Faster. Bill Smarter. Get Paid.

Dramatically increase accuracy per encounter, decrease turnaround times, and reduce costs with Zotec's Autonomous Coding solution.

Format Agnostic

Format Agnostic

Reads any chart, no format requirements (image and text)

Machine Learning

Machine Learning

Active Learning from coding suggestions improves model accuracy every week

Enhanced Accuracy

Enhanced Accuracy

Automation Rate of 70-90% at super-human levels of accuracy

Reduced Denials

Reduced Denials

Coding Denial Rate reduced by 25-50% on auto-coded encounters

Faster Turnaround Times

Faster Turnaround Times

Faster turnaround times with coding turnaround decreasing by over 50%

Increased Cash

Increased Cash

Increased dollars per encounter by capturing more charges, critical care visits, and billing E&M levels more accurately

Cost Reductions

Cost Reductions

Significant cost reductions up to 77%, minimizing reliance on contract coders and reducing staffing needs

Robust Compliance

Robust Compliance

Provider education, automated RFIs and advanced technology spots early compliance risks.

TODAZ - Time of Dictation API, by Zotec

TODAZ flags clinical documentation that is unclear or missing required elements for coding and “request additional information” from physicians at the time of dictation

Traditional RFI Results

Traditional RFI Results
Zotec's 'supervised' machine learning algorithm mimics traditional human coder RFI behavior

Enhanced AI RFI Results

Enhanced AI RFI Results
Unsupervised’ machine learning algorithm uncovers poor documentation that traditional coders won't detect

By reducing denials, RFIs and the need for manual coder intervention, we see:

By reducing denials, RFIs and the need for manual coder intervention, we see:

Increased Collections Increased Collections
By coding more accurate CPTs we can reduce insurance denials

Decreased Costs Decreased Costs
Physicians spend less time on RFIs and more time with patients

Reduction of Days in A/R Reduction of Days in A/R
Every denial, RFI and manual coding that can be eliminated saves TAT

Coding RFI

Document Deficiency Application

  • Ensure coding accuracy
  • Easily interface between Zotec and clinicians
  • Optimize reimbursement
  • Create time efficiency

Robust quality controls allow us to maintain coding accuracy that surpasses human coders

  • Zotec auditors continually audit a sample of live predictions
  • Suggest codes as a starting point – also call out new coding guidelines that apply for educational purposes
  • Audit every chart to identify human coders (or providers) in need of additional education
  • Adjudication trends are automatically fed into the model
  • Zotec auditors perform targeted audits on auto-coded claims
  • Machine learning approach allows model to improve every day as feedback received

Ready to code smarter and get paid faster?

Connect with us to see how Zotec’s intelligent coding solutions deliver greater accuracy, fewer denials, and better financial performance.

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