Case Study: a leading healthcare tech company improves medical coding accuracy with KANINI's AI-powered platform

AI-powered Automated Medical Coding Platform

The vendor KANINI partnered with a leading healthcare tech company that was struggling with the inefficiencies and inaccuracies of manual medical coding for its provider clients. This legacy process was resulting in incorrect ICD-10 code mapping, which negatively impacted patient risk scores, care delivery, and the financial performance of healthcare providers.

KANINI implemented an AI-powered automated medical coding platform to address this challenge. Their solution utilized Natural Language Processing and OCR to automatically extract and analyze data from EHR documents, accurately mapping it to the most relevant ICD-10 codes. This drastically improved the coding process's speed and accuracy for the client, enabling providers to document precise patient risk scores, ensure appropriate compensation, and achieve their patient-centric goals.