Review clinical documentation with a machine learning, real-time coding editor to prevent incorrect diagnoses and improve coding efficiency.

Why intelyDx?

Machine learning models have the capability to understand and identify clinical information with higher levels of accuracy than any human user. Decision support and automated coding workflows can be embedded in:

Diagnostic errors account for 29% of medical malpractice claims with an average settlement payout of $386,849 per claim.

Autopsy review indicates 10%-20% of deaths include diagnostic discrepancies.

IntelyDx at Work

IntelyDx sits above the patient chart and comprehensively reviews clinical documentation to ensure correct diagnosis and medical coding.