Handle More Volume Without Hiring More Coders
The medical coding workforce is shrinking while coding volume grows. AutoICD bridges the gap by automating routine ICD-10 coding, letting your team focus on complex cases.
30%
shortage of qualified medical coders nationwide (AHIMA)
3-6 mo
average time to hire a certified coder
24/7
AutoICD availability with consistent accuracy
The Staffing Crisis in Medical Coding
AHIMA reports a 30% shortage of qualified medical coders nationwide
Average time to hire a certified coder is 3-6 months
Coder turnover drives up training costs and delays revenue cycles
Remote work has increased competition for experienced coders
How AutoICD Bridges the Gap
Automates routine ICD-10 coding for straightforward clinical notes
Frees experienced coders to focus on complex, high-value cases
Scales instantly with no hiring, training, or onboarding
Works 24/7 with consistent accuracy across all shifts
How AutoICD Bridges the Staffing Gap
Connect AutoICD to your existing workflow via API or SDK
Route routine clinical notes through automated coding for first-pass results
High-confidence codes are approved without manual review
Low-confidence or complex cases are queued for your experienced coders
Your team handles more volume without adding headcount
Frequently Asked Questions
Can AI replace medical coders entirely?
No. AI automates routine coding and provides first-pass suggestions, but complex cases, guideline interpretation, and quality oversight still require trained coders. The goal is to let your team handle more volume by automating the straightforward work.
How quickly can we integrate AutoICD?
Most teams are sending their first coding requests within hours. The API is simple — send clinical text, receive ICD-10 codes. TypeScript and Python SDKs handle authentication and response parsing for you.
Handle More Volume Without More Hires
Free trial with 100 coding requests per day. No credit card required.