The RSAI Blog
Healthcare revenue cycle insights, product updates, and automation best practices from the RSAI team.
Couldn't load posts right now.
Check back soon or contact us.
The Coding Gap Is Widening and Here's What StreamCode Does About It
StreamCode reads clinical notes and suggests ICD-10, CPT, and HCPCS codes. Your coders verify in seconds. Because the coding gap is widening faster than manual review can keep up.
in 2024 · MDaudit 2025
dollar amount in 2024
reduction · AI-assisted coding benchmark
Medical coding sits at the intersection of clinical documentation, regulatory compliance, and payer reimbursement. Get it right and claims pay cleanly. Get it wrong and you face denials, compliance exposure, and a coder workload that scales with every new payer rule update. According to the MDaudit 2025 Annual Benchmark Report, the average coding-related denial dollar amount rose 126% in 2024, from $297 to $631 per claim, the steepest single-year increase on record.
The problem is not coders. It's the volume and velocity of rule changes. CMS updates the ICD-10-CM code set annually. Payers layer on their own coverage determination policies, often undocumented and inconsistently applied. The gap between what a coder knows and what a specific payer will reimburse in a specific clinical context is widening faster than manual review can keep pace.
These are the exact conditions StreamCode was built for. StreamCode reads clinical notes and suggests ICD-10, CPT, and HCPCS codes. Your coders verify in seconds. More healthcare organizations are now deploying StreamCode to automate coding validation, close documentation gaps before billing, and build a defensible compliance trail on every encounter, without slowing throughput or increasing headcount.
Why Coding Errors Are a Dual Risk
Revenue loss from undercoding is well documented. Compliance exposure from upcoding is equally serious, and equally common. Both stem from the same root cause: the gap between clinical documentation and coding guidelines that manual review cannot bridge at scale.
Every incorrectly coded encounter creates one of two problems:
Manual coding processes, even with experienced coders, cannot consistently close this gap at the volume and speed modern practices demand. With coding-related denials rising and payer scrutiny intensifying, the compliance stakes have never been higher.
A coder working 80 charts a day cannot simultaneously know every payer's LCD policy, every ICD-10 update, and every documentation gap. StreamCode doesn't replace clinical judgment, it closes the knowledge gap that manual review can't.
Real-time coding validation gives clinical and billing teams a shared view of documentation accuracy before claims are submitted.
What StreamCode Actually Does
StreamCode reads your clinical notes and suggests ICD-10, CPT, and HCPCS codes, your coders review and verify in seconds, not author from scratch. It delivers real-time code validation built for professional billing environments.
Real-Time CPT/ICD-10 Validation
AI surfaces ICD-10-CM, CPT, and HCPCS code suggestions with confidence scores, returning confidence scores and validation status for each code suggestion before the claim leaves the system.
Code Suggestion Engine
Surfaces accurate ICD-10-CM, CPT, and HCPCS code suggestions based on encounter documentation, identifying missing diagnoses and unsupported procedure codes before coding is finalized.
Compliance Audit Trail
Every code assignment is logged with the rationale and guideline reference that supports it, creating a defensible audit trail for payer reviews and RAC audits.
Modifier Validation
StreamCode surfaces modifier recommendations with documentation justification for every code suggestion, ensuring each modifier is supported by the clinical documentation before submission.
AI Coding Assistant
AI works as an AI coding assistant, coders paste clinical notes directly into StreamCode and AI surfaces accurate, defensible coding recommendations with confidence scores. No manual lookup, no guesswork.
Modifier Recommendations
StreamCode surfaces modifier recommendations with documentation justification, identifying cases like 99203 vs. 99204 where documentation supports a specific code level, so coders can assign the most accurate and defensible code every time.
Where Coding Errors Actually Start
Most coding errors don't originate at the keyboard, they originate upstream, in documentation. Common root causes include:
StreamCode addresses each of these at the point of coding, not after a denial arrives 30 to 60 days later.
Front-end coding accuracy is the primary driver of clean claim rates. Organizations that invest in AI-assisted coding validation, applied against HIPAA-compliant 837P/837I transaction standards, consistently see lower denial rates, faster days in AR, and reduced cost-per-claim. Revenue integrity improvements become visible early in deployment.
Documentation review at the point of care is the most cost-effective place to prevent coding-related denials.
Industry Benchmark: $1.3M in Savings and 50% Reduction in Unbilled Claims Backlog
Cost Savings
(Unbilled Backlog)
Reduction
Encounter
A five-hospital health system in Northern Virginia, serving more than 4 million patients annually and operating over 500,000 emergency department visits per year, deployed AI-assisted coding intelligence in 2024 to address DNFB (discharged-not-final-billed) backlogs and coder capacity constraints. The system processed inpatient and outpatient encounter documentation in real time, assigning codes, flagging documentation gaps, and routing only exception cases for human review.
Within 12 months the deployment achieved a 50% reduction in DNFB, a 10% increase in average revenue per encounter, and $1.3M in annualized coding cost savings, without adding headcount.
Source: Published AI-assisted coding deployment case study, 2025These are the outcomes AI-assisted coding AI delivers at scale. StreamCode is built on the same operational principles, real-time validation, documentation gap detection, and coding validation, applied across your EHR environment and payer mix.
Cost Savings
(Unbilled Backlog)
Reduction
Encounter Increase
The RevenueStreamAI Advantage
With coding denial dollars up 126% in a single year, the cost of manual-only coding has never been higher. StreamCode gives coding teams the documentation validation and coding intelligence they need to improve coding consistency across encounters and payers.
Supports cleaner coding workflows. Helps identify documentation gaps. A defensible compliance trail on every claim. That's not a feature list, it's a measurable financial outcome.
uplift per encounter
confidence score
ICD-10 · CPT · HCPCS
StreamCode reads clinical notes and suggests ICD-10, CPT, and HCPCS codes. Your coders verify in seconds, not author from scratch. Helps identify documentation gaps before claims move downstream, reimbursement climbs, and coding throughput increases without adding headcount.
Explore StreamCode →See What StreamCode Can Recover for Your Practice
Let our team benchmark your current coding denial rate and show you the revenue integrity opportunity, at no cost and no commitment required.
What is DNFB and how does it impact revenue? +
DNFB stands for Discharged Not Final Billed. It refers to patients who have been discharged from care but whose claims have not yet been submitted to the payer because coding is incomplete. A high DNFB backlog means revenue is sitting uncollected. StreamCode addresses DNFB by surfacing accurate codes in real time, reducing the time between discharge and claim submission.
How does AI-assisted coding differ from computer-assisted coding (CAC)? +
Computer-assisted coding (CAC) suggests codes for a human coder to review and accept. AI-assisted coding goes further, AI assigns codes with confidence scores and routes only exception cases for human review. StreamCode operates as an AI coding assistant where coders verify AI-surfaced suggestions rather than authoring codes from scratch, reducing time per encounter while improving accuracy.
Is AI-assisted medical coding HIPAA-compliant? +
StreamCode is built with compliance in mind. Every code suggestion and coder decision is logged automatically through a full audit trail, ensuring documentation is defensible during payer audits and compliance reviews. For specific questions about HIPAA compliance and data handling, contact the RevenueStream AI team directly.
What is the difference between undercoding and upcoding risk? +
Undercoding means assigning a lower-complexity code than the documentation supports, resulting in lower reimbursement than the provider earned. Upcoding means assigning a higher code than documented, which creates compliance and fraud risk. StreamCode surfaces code suggestions with confidence scores and documentation justification, helping coders identify the most accurate and defensible code for each encounter. The full audit trail supports compliance and helps prevent upcoding errors before submission.
Does StreamCode require coders to be replaced? +
No. StreamCode is designed to augment coders, not replace them. The AI surfaces code suggestions with confidence scores and documentation justification, coders review and verify rather than author from scratch. This increases throughput per coder while maintaining compliance oversight, allowing smaller teams to handle higher encounter volume without sacrificing accuracy.
1. MDaudit 2025 Annual Benchmark Report — Coding-related claim denials surged 126% in 2024, with the average denial dollar amount rising from $297 to $631 per claim. Also cited in: AHA and Ailevate, The Case for Automating to Resolve Health Insurance Claim Denials (October 2025).
2. Published AI-assisted coding deployment case study, 2024. Five-hospital health system in Northern Virginia, 500,000+ annual ED visits, 4 million+ patients served annually. 50% DNFB (discharged-not-final-billed) reduction, 10% revenue per encounter increase, $1.3M annualized cost savings.
3. CMS ICD-10-CM Official Guidelines for Coding and Reporting, FY2025 — Annual code set update governing all inpatient and outpatient coding assignments.
4. CAQH Index, From Transactions to Trust (February 2025) — Administrative cost benchmarks for claims processing and denial management.
