As healthcare institutions increase pressure to improve customer communication and operations, technology acceptance is increasing.
The obvious captain – advanced IT technology is appearing like a gangbuster in healthcare!
That's probably not surprising to anyone, but it's the speed of adoption and implementation. Years later, healthcare institutions have moved from fear to towing when it comes to artificial intelligence and machine learning.
A few recent data points from the American Hospital Association's Hospital IT database are just a glimpse into the meteor ingestion of machine learning.
With its intake increasing, it is no surprise that the Joint Committee and the Health Coalition (CHAI) have announced that they are planning to collaborate to collaborate on a suite of AI resources, including playbooks, tools and new certification programs. These deliverables are based on the Joint Committee's platform for evidence-based standards and best practices based on Chai's consensus for health AI.
“Working with Chai, we are creating roadmap and providing guidance to healthcare providers, so we can leverage this technology in a way that not only supports safety, but also creates trust among stakeholders.”
In addition to building trust and experience, provider organizations need to identify problems that AI and ML can meet and acquire direct practice to use technology to solve troublesome challenges. I have recently highlighted such examples in articles where health data management has been published and popularized.
For example, recently, Breakwalker described the role that helps artificial intelligence, particularly agent AI, inject humanity into the medical billing process. He argues that finely polished technology helps patients get answers to questions in a clear and understandable language.
In another part, Dr. Dinesh Baviskar and Dr. Ramy Azzam outline the roles that AI can play in the healthcare realm as far away as radiology and communication. Technology can facilitate the work of clinicians, optimize rare human resources, and enable clearer communication among patients.
Also, in some other examples from last week, Yvonne Perez writes about how AI affects the revenue cycle, taking on a zero-fault approach. Furthermore, Scott Ponder uses images in his article to argue that AI can become a “refinery” if the data is of sufficient quality.
And there's not much more coming yet. Agent AI is increasingly playing a role in assisting clinicians with burdensome routine tasks, such as documenting care during patient visits. For example, some people are hoping to expect an announcement of the EPIC in the upcoming user group we will meet this week in Verona, Wisconsin.
In any case, there are many encouragement signs that advanced healthcare technology can bring ever-increasing efficiency and savings to the industry without surpriseing practitioners. The need is clear, as the captain says.
Fred Bazziri is Editor-in-Chief of Health Data Management
