Discusses What NLP Healthcare Means

By: Get News Discusses What NLP Healthcare Means

Natural language processing (NLP) is a branch of computer science that uses artificial intelligence and linguistics to improve the effectiveness of things like machine translation applications, personal voice assistants, and communication systems. The adoption of NLP by healthcare facilities is already revolutionizing the industry. Read on to find out about just a few of the top applications for NLP in healthcare contexts.

Improved Documentation

Speech-to-text dictation programs and formulated data entry that rely on NLP have already changed the way that clinicians care for patients. These apps allow doctors to record notes and update patients' electronic health records much faster than they could when all information had to be typed up and added by hand. As a result, clinicians have to spend less time on data entry and have more of it to invest in patient care, thus improving healthcare outcomes using NLP.

Clinical Trial Matching

Healthcare providers that take advantage of NLP can review huge quantities of unstructured patient data to identify people who might be eligible for clinical trials. Patients can click here for info about what's involved in participation. Clinicians already know that enrolling patients in clinical trials allows them access to experimental care that could improve their conditions. According to, it's also one of the best ways to support innovation in the medical field.

Better HCC Risk Adjustment Models

There are many companies out there using NLP to improve speech recognition technologies, but some are getting more creative. A company such as Foresee Medical, for example, has created an artificial intelligence engine that harnesses the power of NLP to improve hierarchical condition category (HCC) coding. Improvements to HCC coding allow healthcare facilities to create longitudinal patient records and more accurately estimate future healthcare costs.

Clinical Decision Support

Clinical decision support helps to reduce medical errors and provide better patient care. Examples of the use of NLP for clinical decision support include computerized infection detection, symptom checking, and the organization of large data sets into manageable sizes so that clinicians can make more informed point-of-care decisions. The combined effect of these benefits is to improve patient outcomes and satisfaction rates.

Review Management

Not all of the benefits of NLP in healthcare apply directly to patient care. Healthcare facilities can also use programs that feature NLP to manage online reviews, uncover issues such as the unauthorized disclosure of protected health information (PHI) or other data that violates HIPAA compliance, and rapidly examine patient sentiments. NLP allows programs to better understand how patients speak about different aspects of their care and when they use positive or negative terms within a review.

The Future of NLP

The use of natural language processing in healthcare isn't restricted to clinical applications, and in the future, it will likely inform an even greater range of related services. Healthcare facilities can already benchmark patient experiences, review sentiment analysis, increase the efficiency of electronic medical records use, and more. There's no telling what the future might bring, but there are already applications for more effective predictive analytics that use NLP, and some companies are working on creating effective AI chatbots to improve patient care.


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