How AI Fortifies Electronic Health Records Systems

Despite how much healthcare behemoths may seem to resist the globally renowned phenomenon that is electronic healthcare records, the truth remains that they are an incredible resource that is changing the face of healthcare as we know it and, therefore, the reluctance, opposition that EHR systems face today are understandable. Well, kind of. You see, having been around for a while, a lot of Electronic Health Records systems in the market today are built around technologies that have been rendered archaic to a considerable degree. As a result, these systems have become unnecessarily complicated and quite challenging to find one’s way around, consequently, defeating the purpose of their existence, i.e., empowering healthcare companies.

However, the world has been quick to notice this challenge and come up with a promising solution for it: Integrating artificial intelligence into EHR systems. Though it is admittedly still a tad new, significant strides have already been made in this regard, with the AI fortifying Electronic Health Records systems like never before and making them far more intelligent and agile. Of course, these are not the only advantages artificial intelligence has had to offer to the healthcare industry in the context of the EHR systems they use and so strictly rely on. Case in point: University of Iowa Hospitals and Clinics; over three years, they achieved a 74 percent reduction in surgical site infections by integrating machine learning with their EHR data. Now, allow us to walk you through the details of precisely how AI helps make the EHR systems better.

Gleaning data from clinical notes: This isn’t a brand new concept, for there are facilities that are already using AI to extract data from faxes. This ability can be further enhanced and used to glean data from clinical notes. AI facilitates this by identifying essential phrases and words and then analyze them to deliver relevant and critical insights.

Logging clinical information: Of course, the most critical part of any healthcare professional’s job is to focus on the patient and the care they deliver to them. Unfortunately, this often gets impeded by the need to make careful, extensive notes. AI helps here by using natural language processing to record clinical documentation, thus freeing up doctors to maintain all their focus on patients under their care.

Better quality of care for patients: While Electronic Health Records systems provide easy access to all the requisite data, such as medical records, treatment plans, test reports, and more, AI takes it up a notch since it also continually learns and evolves. So, when it analyses all this data, the insight it provides is far more personalized and better suited for the patient. Long story short, clinicians can deliver substantially improved quality of care to patients.

There is no denying that the EHR solutions are already delivering unbelievably valuable insights to healthcare providers. But when combined with artificial intelligence, the transformative potential of these advantages is instantly magnified, thus driving better results all around, including enhanced patient care, improved business results, and more.

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