AI and machine learning are becoming important topics in the healthcare industry. But it can be hard to know how to apply and implement these new technologies when your background is in the healthcare sector and not computer science.
Thanks to advances in machine learning and the emergence of cloud computing, computer algorithms today are using human-like intelligence to perform high-level tasks with incredible accuracy at a massive scale. The increasing availability of digitized health data offers a major opportunity in healthcare for both discovery and practical applications. Let’s take a look at how this rapidly advancing technology can help healthcare providers streamline workflows, improve patient outcomes, and reduce administrative costs.
HIMSS is the ultimate gathering of everyone in healthcare with 45,000 attendees from 90+ countries. This can be overwhelming, but if you target the right sessions and meetings, you can come back with insights and partnerships that will propel your organization forward in 2020.
1. A move towards pricing transparency 🔍
There have been public calls for more pricing transparency in healthcare for decades, but limited public interest in an issue that few felt (or could even attribute) acutely. The explosion of high-deductible plans has turned those disparate sparks into a flame.
We are often asked, “What is the difference between Medical Coding Automation (MCA) and the Computer-Assisted Coding (CAC) systems that we currently use?” Though both result in coded charts, there are key differences.
The revenue cycle, beginning at patient registration and ending with (hopefully) full payment, can take anywhere from a few days to several months, variability that can make all the difference to providers’ financial stability.
Reasonable people might wonder why medical coding is any more complicated than checking a box or two. Suppose, though, that you had to code installation of a new dishwasher by its features and your last dishwasher’s history, before you could get a price for it or know how much you wanted to pay. That’s US health care.