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NLP for Healthcare Quality Reporting

NLP for Healthcare Quality Reporting


Melax Tech, a technology company specializing in natural language processing (NLP), has developed advanced methods for evaluating and improving the quality of healthcare processes, outcomes, and organizational structure and systems. One of our cutting-edge systems involves using CLAMP algorithms to identify and extract mentions of Venous thromboembolism (VTE) from radiology reports. By transforming these mentions into standardized medical concepts using SNOMED, we met the meaningful use criteria set forth by regulatory bodies.


Our highly effective approach achieved an impressive sensitivity rate of 0.98 and a positive predictive value (PPV) of 90% when detecting VTE cases at a client site. This innovative system has been instrumental in improving the accuracy and efficiency of VTE detection, ultimately leading to better patient outcomes and a higher standard of care in healthcare facilities.


Melax Tech has made a significant impact on the healthcare industry with its innovative use of advanced technology. Their VTE detection system has resulted in improved accuracy and efficiency and has set new standards for patient care. Request a demo and experience firsthand the benefits of their cutting-edge technology.

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