The importance of data science in healthcare is no longer in question. There is an increasing impetus to include broader and more complex data in the work that data science teams do, and in the healthcare setting, with 80% of the relevant data being unstructured – the time spent trying to surface features from these complex data is significant.
The rise of data science in healthcare coincides with the widespread acceptance that more needs to be done to identify and address the social determinants of health. While structured data for these features is sparse, clinicians have been documenting information on these features in unstructured notes as part of their routine history taking since they started practicing. As attention begins to focus on using data science to understand the social determinants of health that drive health inequities – tools that can reduce the data preparation time, enabling more time spent on insight generation are vital.
IQVIA’s suite of NLP APIs provides instant access to secure healthcare-tuned NLP, answering crucial questions in healthcare and life science. In this webinar, we will discuss how NLP APIs enable you to embed NLP into your workflows to:
Surface evidence of Social Determinants of Health
Identify diagnoses from clinical text, within the correct context (negations, family history, hypotheticals)
We share examples of these being used to solve real problems and demonstrate how you can start to instantly access, navigate and start analyzing complex healthcare data.
You will learn about:
The value of unstructured EMR data
The importance of NLP in generating features from these data
How to incorporate these APIs into your workflows