Harmonized steps: Orchestrating healthcare transformation with natural language processing

In this PhD research, two AI tools were developed to significantly reduce the administrative workload for healthcare professionals and enhance the quality and accessibility of medical data. The first tool, a real-time AI assistant for radiologists, provides immediate feedback as they draft medical reports. It supports the use of natural language while automatically generating a structured version of the report that includes tumor classification, which radiologists can directly validate. This enhances the quality and completeness of the data.
The second tool streamlines the ICD-10 coding process, essential for accurately classifying and coding diagnoses and procedures in patient records. This AI assistant efficiently identifies key terms, integrates seamlessly with the user’s workflow, and facilitates easy corrections. Collectively, these innovations can reduce the administrative burden on healthcare providers and improve the management of medical data, making it more standardized and easily accessible.