The healthcare industry has seen rapid advances in artificial intelligence (AI) and machine learning capabilities in recent years—from virtual health assistants and drug discovery to development and ...

Medicomp Systems' CEO adds that the challenge for HIMSS26 attendees in 2026 is harnessing AI-enabled efficiency while preserving clinical integrity. That balance will define the next phase of AI ...

As coders grow and mature in their knowledge and experience with ICD-10, there are various federal guidelines they must adhere to. One such guideline instructing coders not to use clinical indicators ...

Clinical coding underpins the integrity of healthcare records, functioning as an essential bridge between patient care, administrative processes and research analytics. Robust coding transforms ...

The need for autonomous coding solutions is multi-faceted and increasing. This need stems mainly from a shortage of qualified coding resources, staggering numbers of patient charts to code, constantly ...

Reduce administrative burdens, specifically around coding and billing, Optimize revenue cycle activities, and Empower physicians to focus more on patient care. “This partnership represents the future ...

Noorda College of Osteopathic Medicine has partnered with Matic to integrate AI-driven clinical intelligence into medical training. Students will gain hands-on experience with Scribematic, Matic's ...

Suki, an ambient AI healthcare company, is expanding its assisted revenue cycle capabilities to provide more specific automation and generate additional codes, including CPT and E/M codes. Suki, which ...

Claims denials by insurers are a major source of revenue loss for healthcare providers. Nearly 20% of all claims for medical practices are denied, and alarmingly, up to 60% of these are never ...

An association of health information managers, clinical coders, and clinical documentation specialists in Australia has released a guideline for adopting clinical coding AI solutions. The guideline ...

We created an annotated corpus of tumor morphology and topography mentions consisting of 1,101 documents. We combined it with the CANTEMIST corpus (Cancer Text Mining Shared Task). Specifically, we ...