Improving Patient Insights With Textual ETL in the Lakehouse Paradigm
This is a collaborative post from Databricks and Forest Rim Technology. We thank Bill Inmon, Founder and CEO, and Mary Levins, Chief Data Officer, of Forest Rim for their contributions. The amount of healthcare data generated today is unprecedented and rapidly expanding with the growth in digital patient care. Yet much of the data...
Unlocking The Power of Health Data With a Modern Data Lakehouse
A single patient produces approximately 80 megabytes of medical data every year. Multiply that across thousands of patients over their lifetime, and you’re looking at petabytes of patient data that contains valuable insights. Unlocking these insights can help streamline clinical operations, accelerate drug R&D and improve patient health outcomes. But first, the data needs to...
Applying Natural Language Processing to Healthcare Text at Scale
This is a co-authored post written in collaboration with Moritz Steller, AI Evangelist, at John Snow Labs. Don't miss our virtual workshop, Extract Real-World Data with NLP, on July 15 to learn about our new NLP solutions. In 2015, HIMSS estimated that the healthcare industry in the U.S. produced 1.2 billion clinical documents. That’s a...
