January 28, 2021
The volume of medical research taking place has increased dramatically over the last few decades. Not only is the number of articles being published every year growing, but the average length of those articles is also increasing. The sheer volume of information available, coupled with the increased demand for more personalized approaches to healthcare, has made practicing medicine an increasingly complex proposition for practitioners and those who support them.
To facilitate access to these treasure troves of information, content licensing services have come to the rescue by creating and curating content for a wide range of applications for the medical field. However, these services can only do so much in the face of more customized requests, and end users may still have difficulty navigating these services in addition to more localized needs like documentation for devices and equipment.
With an AI-enabled search that can bring natural language processing (NLP) to healthcare and medical text, content providers can now improve the accessibility of their content for their users. User experience has been shown time and time again to be a great motivator for product adoption, and the healthcare industry is not immune to this. Moreso, a practitioner’s time is already a precious commodity, one that is increasingly taken up by non patient-facing tasks. In an ideal scenario, the right information need only be a single question away from the practitioner. The ability to conduct such an intelligent search is quickly becoming a reality!
Improving the accuracy and intelligence of searches through medical reference text is not only a question of convenience for practitioners. While the image of the wise doctor with an encyclopedic knowledge of medicine persists in society and popular culture, this could not be further from the truth. Practitioners who are dedicated to optimizing for patient outcomes are often diligently reviewing the current peer-reviewed best practices for their particular practice areas to determine the best course of action for their patients. This elevates the ability to efficiently retrieve the correct information from a matter of convenience to a matter that can directly impact patient outcomes.
At the end of the day, isn’t that what we are all striving for?