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Medical Coding at AI Speed. Human-Level Accuracy.
Peerbits builds custom AI medical coding engines that read clinical documentation and output accurate ICD-10, CPT, and HCPCS codes in seconds — reducing coder workload by 70% and denial rates from undercoding by over 60%.
See a Live DemoStandards & Compliance
ICD-10-CM / PCS
CPT 2024
HCPCS Level II
HIPAA Compliant
HL7 FHIR Ready
CMS Guidelines
AHIMA Aligned
Manual Medical Coding Is Breaking Your Revenue Cycle
Healthcare organizations lose millions annually to avoidable coding errors, coder shortages, and documentation gaps. Here's what's driving the crisis.
Chronic Coder Shortage
The U.S. faces a critical shortage of qualified medical coders. Burnout, high turnover, and lengthy training cycles leave coding departments perpetually understaffed.
70K+ vacancies
Undercoding & Missed Diagnoses
Manual coders working under volume pressure routinely miss secondary diagnoses and comorbidities, leaving legitimate reimbursement permanently uncaptured.
8–12% revenue lost
Denials from Coding Errors
Incorrect codes, mismatched diagnosis-procedure pairings, and outdated code usage are among the top three triggers for claim denials across all payers.
34% of denials
AI Coding Systems for Every Healthcare Segment
Our AI coding engine is trained and fine-tuned per specialty and per client — not a generic NLP model applied to all documentation types.
High-volume DRG assignment, ICD-10-PCS procedure coding, CC/MCC capture, and HCC recapture — all automated at scale.
Solves:DRG optimization, RAC audit risk, MCC/CC undercapture
E/M level selection, procedure code accuracy, and modifier assignment for 30+ specialties including cardiology, oncology, and orthopedics.
Solves:E/M downcoding, modifier errors, specialty-specific code gaps
White-label AI coding modules to augment your coding team's throughput — process 5x more charts with the same headcount.
Solves:Coder capacity, turnaround time, client SLA compliance
Payer-side and provider-side HCC recapture, RAF score optimization, and retrospective chart review automation for value-based care contracts.
Solves:RAF undercapture, prospective gap closure, audit exposure
Real-time AI coding from telehealth transcripts, structured clinical notes, and asynchronous encounters — with place-of-service automation.
Solves:Telehealth code compliance, POS modifiers, async encounter coding
OASIS-aligned coding, PDGM grouper optimization, and ICD-10 sequencing from clinical notes for home health agencies and skilled nursing facilities.
Solves:PDGM grouper errors, OASIS coding compliance, sequencing mistakes
From Clinical Note to Verified Code in Under 3 Seconds
Our NLP pipeline reads clinical documentation the way an expert coder does — understanding context, medical terminology, and payer-specific rules.
STEP 1
Clinical document ingestion
Ingest notes from EHR, dictation transcripts, operative reports, discharge summaries, or structured data — via API or direct integration.
STEP 2
NLP extraction & entity recognition
Our fine-tuned medical NLP model extracts diagnoses, symptoms, procedures, medications, and clinical relationships from unstructured text.
STEP 3
Code generation & validation
Maps extracted entities to ICD-10, CPT, HCPCS codes with sequence logic, CCI edits, and payer-specific rule validation applied automatically.
STEP 4
Confidence scoring & coder review
Each code gets a confidence score. High-confidence codes pass straight through; flagged codes route to a human coder for review — a true AI-human hybrid workflow.
STEP 5
Feedback loop & continuous learning
Every coder correction trains the model further — your AI system gets more accurate with every chart processed, specific to your documentation style.
Everything in One AI Coding Platform
Modular capabilities you can deploy standalone or as part of a full RCM stack.
01
NLP-Powered Code Suggestion
Reads and understands clinical free-text — not just keyword matching. Captures context, negations, and clinical relationships missed by rules-based tools.
02
CDI — Clinical Doc Improvement
Flags documentation gaps before coding — missing specificity, ambiguous diagnoses, and query opportunities — directly inside the EHR workflow.
03
CCI Edit & LCD/NCD Validation
Pre-submission validation against CMS CCI edits, LCD policies, and NCD coverage rules for every payer — zero unbundling flags.
04
HCC & Risk Adjustment Module
Identifies suspect HCC conditions from historical encounters, recommends recapture codes, and calculates RAF score impact before submission.
05
EHR / PM Deep Integration
Native connectors to Epic, Cerner, Meditech, eClinicalWorks, and 25+ platforms. Codes flow directly into your billing queue — zero re-entry.
06
Coder Performance Analytics
Track AI vs. human override rates, accuracy trends by provider and specialty, and coding productivity metrics in a real-time dashboard.
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Why Peerbits AI Coding vs. Generic Solutions
Most AI coding tools are SaaS products trained on generic datasets. Ours is custom-trained, specialty-tuned, and integrated into your exact documentation workflow.
Specialty-tuned, not generic
We fine-tune separate models per specialty using your historical encounter data — cardiology, oncology, and orthopedics each get a model trained on their documentation patterns.
You own the model, not a subscription
No per-code transaction fees or per-seat licenses. Peerbits builds and delivers a custom AI coding system you own outright — margins stay with you as volume grows.
Continuous learning on your data
Our feedback loop retrains on your coders' corrections continuously — unlike static SaaS models that degrade over time. Your system gets smarter every month.
Human-in-the-loop by design
We don't replace coders — we eliminate the 80% of routine work so your certified coders focus on complex cases, audits, and appeals. Hybrid by architecture.
vs. 3M™ / Optum360 / Nuance
Unlike enterprise coding platforms that charge per-transaction and lock you into rigid SaaS contracts, Peerbits delivers a custom-built AI coding system integrated to your EHR — no vendor lock-in, no per-code fees, and a model tuned to your exact documentation style and payer mix from day one.
Results Across 120+ AI Coding Implementations
Benchmarked against manual coding baselines within the first 90 days of deployment.
97.2%
Average coding accuracy rate
Manual avg: 82–85%
70%
Reduction in coder workload
Frees coders for complex cases
3 sec
Avg. time per encounter coded
Manual avg: 8–15 minutes
62%
Fewer denials from coding errors
Measured at 90 days post-go-live
What Coding Directors & CFOs Say
#clientspeak
Learn more about our processes from our clients
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After a rigorous selection process choosing Peerbits as our technology partner was the right choice. Peerbits is an innovative company with a team of talented, committed, and smart individuals. Thank you for helping us deliver world-class healthcare solutions. Good job.
Dan
Health vector
See AI Medical Coding in Action — Live.
Upload a sample clinical note and watch our AI generate accurate ICD-10 and CPT codes in real time. No commitment. Just proof.
Book a Live DemoFrequently asked questions
AI medical coding uses machine learning and natural language processing to automatically assign accurate ICD, CPT, and HCPCS codes from clinical documentation — reducing manual effort, minimizing errors, and speeding up the billing cycle.
AI analyzes clinical notes, diagnoses, and procedures in real time to suggest the most accurate codes, reducing human error, preventing claim denials, and ensuring compliance with the latest coding standards.
Yes. Our AI medical coding solutions are built with HIPAA compliance and adhere to ICD-10, CPT, and CMS guidelines, ensuring your coding process meets all regulatory and payer requirements.
Absolutely. Our AI coding solutions integrate seamlessly with your existing EHR, EMR, and revenue cycle management systems via HL7 and FHIR APIs, keeping your workflows connected and efficient.
The cost depends on the complexity of your workflows, the volume of coding, and the level of integration required. We provide a tailored estimate after understanding your specific needs and existing infrastructure.
Yes. Our AI coding solutions are trained across multiple specialties — including radiology, cardiology, orthopedics, and behavioral health — and support ICD-10-CM, ICD-10-PCS, CPT, HCPCS Level II, and E&M coding across inpatient and outpatient settings.
No — it augments them. AI handles high-volume, routine coding autonomously while flagging complex or ambiguous cases for human review. This reduces coder workload by 60–80%, improves throughput, and lets your coding team focus on exceptions and quality audits.
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