Mediary offers an AI‑driven point‑of‑care coding assistant that analyzes clinicians’ documentation in real time and suggests appropriate medical billing codes. By integrating directly with electronic health record (EHR) systems, it streamlines coding workflows, reduces claim denials, and frees providers to focus on patient care. The service is delivered via a subscription model to hospitals, clinics, and individual practitioners.
Funding
Funding not disclosed
Founders
Product
Problem
Physicians spend a substantial portion of their workday manually documenting patient encounters and determining appropriate billing codes, which leads to under‑coding, revenue leakage, and increased audit risk. The need to verify Medical Decision Making (MDM) criteria adds further administrative burden, detracting from patient care. Existing EMR/EHR systems do not provide real‑time guidance to ensure coding accuracy during the encounter.
Solution
Mediary delivers an AI‑driven point‑of‑care coding assistant that captures diagnoses, procedures, and contextual information in real time as the clinician interacts with the patient. The platform continuously evaluates coding options and highlights satisfied and missing MDM criteria, enabling clinicians to select the correct evaluation and management level on the fly. At the end of the visit, Mediary generates a complete, billing‑ready note that preserves the physician’s voice while embedding the necessary documentation for audit compliance. The output can be edited, resynced, and pasted directly into the existing EMR/EHR workflow without requiring additional integration work. By automating coding decisions and note generation, Mediary reduces documentation time by up to two hours per day and improves billing capture by 20‑30 %.
Target Audience
The primary customers are outpatient physicians and clinical practices—including primary care, family medicine, internal medicine, and pediatrics—that bill E/M services and seek to reduce documentation workload while maximizing coding accuracy.
Features
- Real‑time AI analysis of conversation to suggest CPT/E/M codes and adjust recommendations as the encounter evolves
- Visual dashboard that displays satisfied MDM criteria and flags missing elements for each level of service
- Automated generation of audit‑ready clinical notes that retain physician dictation style while embedding required evidence
- Seamless copy‑and‑paste or resync capability with any EMR/EHR system, requiring zero setup or custom integration
- Secure cloud‑based processing with HIPAA‑compliant data handling and end‑to‑end encryption
- Flexible usage model: encounter‑based credit packs and subscription plans with priority support for high‑volume users
- Upcoming specialty‑code libraries and personalized note templates to address subspecialty documentation needs