Digital healthcare includes the use of hardware and software services such as smart devices, computational technologies, patient portals, telemedicine, and digital filing systems. These technologies allow patients and healthcare workers to manage diseases and health risks better.
The healthcare industry is finally catching up to other major industries when it comes to digitization and automation. And with so many regulations and repetitive processes involved in healthcare, it’s the perfect field to take advantage of hyperautomation.
What Is Hyperautomation?
Hyperautomation is the process of using artificial intelligence (AI), robotic process automation (RPA), and machine learning together to automate repetitive tasks or handle large volumes of data.
In contrast to automation, hyperautomation leans more heavily on RPA, which is a type of business process automation technology. You can create powerful data processing tools by combining AI, machine learning, and RPA.
Defining Healthcare Compliance
People working in the healthcare industry must follow specific, stringent laws related to their practice. Doing so is called compliance. These regulations govern everything from patient privacy to lying to the government, and the consequences for non-compliance are serious.
Hospitals use hyperautomation to improve compliance with hundreds of healthcare laws. This includes regulations like HIPAA, the Anti-Kickback Statute, the False Claims Act, HITECH, and more.
Various government agencies and not-for-profit organizations govern healthcare law compliance, which can be overwhelming or confusing for staff. Hyperautomation makes the process far simpler.
How Hyperautomation Improves Compliance
Hyperautomation makes it easier for hospitals to comply with healthcare laws in the following ways:
-
Reducing False Positives
Hyperautomation can use machine learning and AI to solve the issue of false positives that waste money and time in hospital databases. In data science, false positives are actually negative outcomes that the model predicted incorrectly or that people made by mistake.
Instead of people having to take time out of their day to review every false alarm in the system, hyperautomation software can acquire, analyze, and pore through massive amounts of data, streamlining compliance alert systems and reducing the number of false positives. This can also lower expenses in the process.
-
Addressing Human Error
Filing paperwork by hand for hours is not only boring, but it also increases the risk of making a mistake, such as leaving sensitive patient information available where unauthorized people can see it.
People can get tired, misread words, or make typos on the keyboard. With the overwhelming amount of data hospitals process, people are statistically more likely to make a mistake the more information they handle.
Outdated technology and lack of due diligence – taking reasonable steps to satisfy legal requirements – also contribute to human error costs. Thankfully, hyperautomation can perform repetitive tasks to increase system accuracy. It also uses AI and machine learning to look for trends, notice blind spots, and pick up on overlooked errors.
-
Lowering Costs
The modern healthcare system must adapt to regulatory requirements that deal with managing and analyzing overwhelming amounts of data. When less time and human effort are necessary to support compliance operations, costs go down, and efficiency improves.
Applying hyperautomation to workflows increases speed, effectiveness, and accuracy, saving hospitals time and money.
Improving Compliance And Efficiency
The sheer number of legal regulations in the healthcare industry can be intimidating, but new technologies like hyperautomation help the healthcare sector cope with them and run more smoothly overall.
Hyperautomation improves and simplifies the legal compliance process to save time, free up resources, and keep hospitals afloat.
