Huntsman Cancer Institute (HCI) at the University of Utah is a nationally recognized cancer center that relies heavily on data for its research studies. Because a vast amount of critical patient information is stored in unstructured formats such as clinical notes and pathology reports, finding specific data is often challenging, to say the least—not to mention costly and time consuming.
For years, HCI had compiled information manually or with rudimentary Natural Language Processing (NLP) tools, but surely there was a better way?
After encountering Linguamatics at an informatics conference and learning more about its NLP tools and Linguamatics text mining solution, the HCI research informatics team realized that this is what it had been searching for. To test the system, HCI used Linguamatics NLP platform in a project on breast cancer; it found that data capture was much, much faster, and using NLP improved access to higher quality data.
Since that initial success, HCI has expanded its use of the platform and developed NLP tools for multiple other conditions. It can now provide investigators with the quality data they need when applying for grants, writing papers, or identifying cohorts for specific studies. HCI has also been able to share data and collaborate with other institutions, to advance research and enhance disease understanding, and ultimately achieve better patient outcomes.
“Linguamatics NLP platform is the driver for collecting high quality data and making the process more efficient.” Samir Courdy, Director of Research Informatics Shared Resource
and Chief Research Information Officer, HCI
For more on the Huntsman experience, please download our case study here.
