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 ...

ICD-10-CM coding can be challenging for coders in the outpatient setting. It is important to remember that the Official ICD-10-CM Guidelines for Coding and Reporting provide a road map to ensure ...

Rare and complex medical conditions challenge coders to move beyond routine assignments, requiring precise documentation review, strong clinical understanding, and accurate ICD-10 application. From ...

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 ...

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 ...

Everything hospital executives need to know about the importance of clinical documentation improvement is summed up in one single fact: CDI fuels correct reimbursement and accurate quality reporting.

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 ...

ClinPlus's latest 3.3 release of their SAS-based data management and coding software promises greater data throughput and greater productivity for the management, analysis and coding of clinical trial ...