What You Should Know
- The Launch: Innovaccer has launched Flow Capture, an autonomous medical coding solution designed to eliminate the manual bottleneck in the hospital revenue cycle.
- The Metric: The system is engineered to autonomously code approximately 80% of encounters without any human intervention. The remaining 20% of complex edge cases are routed to certified human coders with full AI-assisted context.
- The “Upstream” Advantage: Flow Capture succeeds because it doesn’t wait for the visit to end. It uses an ambient AI scribe to build the note in real-time, and a built-in Clinical Documentation Improvement (CDI) assistant to close clinical gaps before the physician signs the chart.
- The Compliance Engine: To prevent preventable denials, the AI applies current CMS logic, ICD-10-CM, CPT, HCPCS, NCCI edits, and MEAT criteria before a claim leaves the building. Crucially, every coding decision includes a transparent audit trail detailing the medical decision-making rationale.
- The Rollout: Innovaccer is currently launching Flow Capture through a limited early adopter program with select health systems to track first-pass rates, chart closure times, and coder productivity.
Fixing the Note Before It’s Signed
The historical problem with medical coding AI is the “garbage in, garbage out” dilemma. You cannot accurately automate the coding process if the physician’s initial clinical note is vague, incomplete, or missing critical diagnostic criteria.
Flow Capture bypasses this problem by moving the AI upstream into the actual exam room. The platform utilizes an ambient scribe to capture the conversation and structure the note in real time. Before the physician even signs the chart, a built-in CDI assistant flags documentation gaps while the patient is still in the room.
Because the documentation is structured, specific, and code-ready the moment the ink dries, Flow Capture can instantly extract clinical entities and map the diagnoses and procedures to the correct ICD-10, CPT, and HCPCS codes.
“Every health system in America is being asked to do more with fewer people and tighter margins,” said Abhinav Shashank, cofounder and CEO of Innovaccer. “Coding sits at the center of that pressure. By autonomously coding the majority of encounters with full transparency, we’re helping health systems lower cost per encounter, improve accuracy, and protect margin without expanding headcount.”
The 80/20 Split: Redefining Human Expertise
Flow Capture can identify encounters that meet high-confidence thresholds by applying strict CMS and payer rules, . These straightforward cases—which Innovaccer estimates make up about 80% of volume—are coded, scrubbed, and pushed to billing automatically.
This creates a massive paradigm shift for the back office. Instead of paying certified medical coders to mindlessly validate thousands of routine sinus infections and sprained ankles, health systems can redirect that human expertise exclusively to the remaining 20% of complex, high-acuity edge cases.
