Case Study: Drexel University advances clinical care with Natural Language Processing
This case study outlines how our Linguamatics NLP platform allowed Drexel to advance clinical care with Natural Language Processing.
- Situation: Drexel University College of Medicine needed a way to unlock insights from unstructured data in electronic health records (EHRs) without having to undertake costly and time-consuming manual review.
- Solution: After investigating the various natural language processing (NLP) technologies available, Drexel decided to partner with Linguamatics and use its NLP platform to extract key information from large data sets much more efficiently.
- Success: Using Linguamatics NLP, Drexel has vastly reduced the need for manual EHR chart review, improving healthcare research and patient care, and saving a significant amount of time and money in the process.
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