NLP for Healthcare Quality Reporting

Quality measures help quantify healthcare processes, outcomes, and organizational structure and systems. Melax has developed NLP-based approaches for quality measurement reporting. For example, we developed a system for extracting Venous thromboembolism (VTE) mentions from radiology reports and encoding them to SNOMED concepts, for one of the meaningful use criteria. Leveraging the award-winning algorithms implemented in CLAMP, an extremely high sensitivity of 0.98 and a reasonable PPV of 90% for the detection of VTE cases was achieved at a client site.