How Natural Language Processing (NLP) AI Technology is Saving Lives by Mining 'The Patient Narrative'Linguamatics
You may have heard that big data in healthcare is being used to cure diseases, improve quality of life, predict epidemics and so on. But how much of an impact is this having on society today?
The complexity of human health means that there is a lot of information that radiologists and disease specialists inherently best capture in the patient narrative and other clinical documentation. Up to 80% of patient information is made up of unstructured data. Naturally, many clinicians want to concentrate on their job: telling the story of the patient and how to treat them most effectively rather than spending 50% of their time entering structured information in check boxes and drop downs. Therefore, there's a desire to start using Natural Language Processing (NLP) systematically so that clinicians put more work into patient care and less into clinical documentation. Here at Linguamatics we help healthcare organizations look at how this mass of unstructured data can help identify high-risk patients and reduce the time spent on documentation.
An example of what healthcare providers are looking at the population level for individuals that we know have food insecurity or social isolation issues. These social determinants of health help identify if a patient isn’t eating properly or can't get to an appointment their likelihood of having a good outcome is severely reduced.