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

Validity of Natural Language Processing for Ascertainment of EGFR and ALK Test Results in SEER Cases of Stage IV Non–Small-Cell Lung Cancer We identified all NCDB participants with International ...

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 ...

Clinical data archiving, the movement of inactive patient information from a production electronic health record (EHR) to a long-term storage solution, has been happening at major hospitals and health ...

It’s widely known that artificial intelligence (AI) is profoundly reshaping the healthcare industry. Hospitals have used AI in a variety of ways, from streamlining workflows to aiding in bedside ...

You're deep in clinical research operations, and decentralized clinical trials software has become the go-to for handling ...

As the push to integrate artificial intelligence and increase interoperability evolves, Clinical Architecture sees a dire need for tools that can assess the quality of healthcare data. Poor quality ...