While most organizations struggle with escalating coding costs from workforce shortages, forward-thinking health systems are setting up sustainable coding operations by implementing autonomous medical coding.
The results are immediate: Inova reduced annual ED medical coding costs by $1.3M while eliminating mandatory overtime, and a large health system achieved a 35% reduction in coding cost-per-chart.
By removing dependency on scarce coding talent, these organizations have transformed unpredictable labor expenses into manageable, consistent technology costs.
Automate routine coding cases at a lower cost-per-claim than traditional staffing or outsourcing alternatives
Manage increasing volumes without proportional staffing increases that drive budget overruns
Eliminate recruitment, training, and turnover costs that drain coding department budgets
Reduce costs associated with manual charge entry and administrative overhead
Unlike computer-assisted coding (CAC) solutions that require human validation, autonomous medical coding solutions operate independently, processing encounters from clinical documentation to final code assignment with zero human intervention.
Nym's engine is distinguished from other autonomous coding solutions due to our innovative Clinical Language Understanding (CLU) technology, which enables Nym's engine to produce fully transparent audit trails for every code assigned and supports a high level of configuration with customers' internal coding guidelines.
.png)
Meet Inova, the leading health system in Northern Virginia. For Inova, the combination of medical coder staffing challenges and increasing emergency department (ED) patient volumes led to reliance on expensive contract coders, overtime (OT) requirements for in-house coders, and delayed payment cycles.
To solve these challenges, Inova deployed Nym's autonomous medical coding engine and later, Nym’s partial coding product, for ED facility coding across multiple hospital EDs and outpatient emergency care centers.
The impact? Download the full case study to find out.
