How Natural Language Processing is Impacting Healthcare in Philadelphia

November 7 2019

It Takes a Village to Raise Modern Medicine

Learning from the past

“It takes a village to raise a child” is a popular old African proverb, that in my opinion has a lot of merit. Now that single parents are part of the mainstream, as well as divorced families, and other non-traditional parenting units and methods are adopted; it’s still very important for the nurturing and development to come from many different influences- especially those that are closest. I also believe this old proverb can be applied to not just childrearing, but in other areas, such as how we work together and adopt new methods to make healthcare better.

Raising healthcare the right way... Philly is finding better ways to raise their “fillies” - and their two legged residents as well

Payers and providers have to raise their “child” known as healthcare together since they are so intricately woven into medicine in the US. It’s always important that both “parents” work together for the best interests of its children- in this case it's patients and members. Some places are adopting this mindset sooner rather than later. Take for example the city of Philadelphia, PA, where Artificial Intelligence (AI) via Natural Language Processing (NLP) is influencing population health, and how patients are being cared for. Instead of just looking at the “what” in the electronic health records, Philadelphia healthcare organizations are also aware of the “why”. Many are learning that capturing and reporting on “the what and the why” in the structured fields and unstructured patient notes, will produce better outcomes.

Utilizing NLP is not just better for the members and patients

It is important to note that important information within the unstructured notes are being gathered manually by most institutions across the US - both provider and payer. So why not utilize AI/ NLP in an augmented intelligence workflow to make humans more efficient in their job? Return on Investment is important in every business- even in the business of medicine.

For example, Drexel University College of Medicine wanted to reduce the amount of manual chart review needed to identify patients with specific disease comorbidities. Using Linguamatics NLP in patient cohort selection 67% additional relevant patients with HIV and Hepatitis C were identified, with an 80% reduction in manual chart review.

Here are just few examples of how Philly institutions have used Linguamatics NLP

Drexel University College of Medicine - One NLP enterprise for many solutions. Walter Niemczura, Director of Application Development, at Drexel, discusses Linguamatics NLP utilization from research to clinical care and beyond. Click here for the interview.

Independence Blue Cross - Jim Denyer spoke at our Healthcare and Life Science AI/NLP Seminar - Mid-Atlantic Seminar of opportunities for using Linguamatics NLP to build efficiencies into existing payer business processes and extracting value from scanned health charts, faxes and other unstructured data sources.

Penn Medicine - Obtaining key words in text to identify patient phenotypes from clinical reports for use in areas such as biobanking. Click here to learn more.

A new way of approaching medicine

Like Philadelphia- let’s work together and utilize AI to help raise the awareness of older ideas that may not be working and persist with the ideas that are. But most importantly nurture our nation's health from the population to the patient level- let technology help us, not hurt us.


See our NLP solutions for Healthcare payers and providers.