In the world of healthcare, technology is usually what drives some of the most critical advancements. When it comes to the most cutting edge devices and tools, artificial intelligence (AI) usually makes the list. For physicians and professionals in many healthcare fields, having more comprehensive data can mean better patient engagement and outcomes. Still, with any new and emerging technology there are certain apprehensions to consider before investing everything. Whether you’re a family practice physician or work for a major hospital, AI in clinical settings is something you’re likely to come up against.
AI in Clinical Settings | Thinking Forward in Healthcare
Now, when people hear about artificial intelligence they often jump to the most far-fetched versions out there. Perhaps surprisingly, just about everyone has a little AI factory right in their pocket in the form of a smartphone. Although it’s not exactly the kind we see in movies, this is referred to as narrow-AI, or an artificially intelligent system that can perform a very specific function very well.
When we talk about AI in clinical settings this mostly amounts to EHR systems and predictive analytic software used to measure many different aspects of the patient experience. Additionally, there are systems that can monitor patients remotely to automatically track whether a baseline for the individual patient is improving or not. These particular forms of AI in clinical settings really touch on the need for more comprehensive ways to understand whether patients’ needs are being met inside and outside of medical facilities. Two companies currently working to achieve this include PhysIQ and Sentrian.
Using Chatbots in Healthcare
There is also a potential for chatbots, or automatic conversational software, to funnel patient concerns and issues through the proper channels for more comprehensive attention. Now, instead of having someone communicate smaller issues through multiple professionals, chatbots allow patients to write their concerns and receive digital information. This can ultimately help them prepare for certain specialists to better treat their condition or evaluate them. While AI in clinical settings like chatbots aren’t necessarily more valuable than human personnel, they are particularly useful in increasing medication adherence.
Recent Reports from Intel
Despite some of the obvious benefits to be had via AI in clinical settings, many patients and physicians are still a bit apprehensive about the overall effectiveness of this technology. In a recent report from Intel, more than 33 percent of respondents reported that they are concerned about patients’ perception of AI, especially in a time when data breaches are a massive issue. Clinicians have similar skepticism, and many cite the chance for serious medical errors as one of the biggest risks. Nonetheless, AI in clinical settings exists 77 percent more often than in other industries such as financial or operational applications.
Again, some of the other benefits of AI in clinical settings include AI-enable predictive analytics and can make for more timely interventions. Based on Intel’s report, 91 percent of respondents agree that AI has the potential to increase the timeliness and accuracy of patient interventions, while 88 percent say that AI will improve care in a general sense. As with any new and emerging technology there are going to be roadblocks and disadvantages, however the overwhelming perspective is that AI in clinical settings can make amazing advances for physicians and their patients.
While we may not see the robotic takeover of clinics and hospitals, professionals in all healthcare fields have something to gain from the application of artificially intelligent systems.
Whatever your take on the technology, it’s evident that AI in clinical settings is something we’re likely to see more of in the years to come. What’s your opinion on AI in clinical settings? Do you have any experience working with these systems? Let us know in the comments below!
