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 ...
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Mastering clinical trial billing and coding
Clinical trial billing and coding require navigating CPT updates, Medicare policies, and payer-specific requirements. Proper documentation and code selection ensure compliance and accurate ...
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 ...
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Mastering ICD-10 coding for rare diagnoses
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 ...
Computer-assisted coding technology has helped hospitals significantly reduce true coding errors over the past few years. Commercial payers are adapting their reimbursement guidelines to focus more on ...
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 ...
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 ...
Researchers developed a reliable retrospective chart review coding system to measure medication adherence and symptom severity in pediatric psychiatry encounters.
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 ...
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