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 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 ...

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 ...

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 ...

Corti AI, a technology company from Copenhagen specializing in healthcare, has now released “Symphony for Medical Coding,” a ...

Arintra , the leading genAI-native autonomous medical coding platform for healthcare organizations, today announced the launch of doc ...

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 ...

Gain practical insight, fresh perspective and real-world learning to help you navigate the next phase of clinical coding with confidence. This focused, one-day, face-to-face forum brings together NHS ...

Medical coding supports healthcare billing, research, and patient care data, yet it’s often slow, error-prone, and costly. New studies show that fine-tuned AI models trained on ICD-10 data can ...