• Increased Accuracy: AI medical coding acts as a guidance system for electronic health records (EHRs) that works at superspeed, to ultimately improve a clinician’s accuracy. It provides an idea of what codes are being generated via documentation, allowing clinical trial teams to fix their notes if the data doesn’t apply to a specific patient encounter.
• Faster Coding: With the power of AI, companies can cut coding turnaround by days, not hours or minutes. This is owing to AI’s ability to quickly and intelligently map terms within the patient data with the right codes and provide suggestions to a coder to approve. This enables medical coders to simply accept the suggested term or choose from a list of suggested terms. Once a term has been accepted, all same terms in the study are automatically coded with the accepted term. This automation greatly reduces coding timelines.
• Reduce Risk: AI Medical Coding is helping organizations to streamline their coding processes, reduce errors, and ensure that the proper codes are being used for each term. This reduces the risk of incorrect coding, improving data quality and study outcomes.

In the recent few years, AI has been the go-to when it comes to clinical record keeping. AI medical coding has paved the way for translating patients’ complex symptoms, and clinicians’ efforts to address them, into clear and unambiguous classification codes, with precision and speed.

AI can act as a strategic partner for clinical trial teams worldwide, maintaining decades of patient data and transforming trial models to best suit futuristic clinical research. Based on that, AI in clinical trials is only set to grow, especially in the realm of medical coding.

Clinion specializes in AIML technologies that are transforming the medical coding process in the clinical trials industry. To learn more on why clinical trial organisations should consider embracing this cutting-edge technology, hop onto our website now!