According to reports by KPMG, more than 90% of the healthcare systems believe that switching to AI
in revenue cycle management will improve their patient experience. Most importantly, they feel that
the financial management systems will significantly improve with the early adoption of automated
systems. However, the needs of each hospital or healthcare system are different. Therefore, with the
plethora of options in the market, it can get overwhelming to choose the right step forward. Common
missteps in accommodating AI in revenue cycle management could even lead to losses rather than
reaping benefits.
The correct approach to introducing automation in the RCM process could lead to a great path of
stable revenue flow and maximized ROI. But first, you need to evaluate your existing system and
define your revenue cycle goals. Before including AI in revenue cycle management, healthcare leaders
must understand the foundation of automation to implement it for good benefits.
Common Flaws in Implementing Automation in RCM
If you are thinking about introducing automation in your RCM processes, you must know the common
flaws that could hinder your approach.
Quick solutions might not be sustainable for your growth:
While evaluating your financial health and the exact pain points that your team faces, it might seem
like a logical step to rectify those specific areas with a targeted solution and carry on with the
rest of the system as usual. It would be best if you remembered that automation is capable of
solving many complex areas of your system. With several isolated islands of automation solutions
lacking proper integration, you could find yourself in a worse place in terms of workflow
management. Instead of opting for quick fixes, think about the ROI from a long-term perspective.
Following the trend will not lead you to your destination:
With the increased adoption of AI in the healthcare back-end services market, several healthcare
leaders in the USA are advocating the great benefits that automation could bring to you. While their
words could be a great inspiration in your digital transformation journey, you should understand
that every healthcare organization operates differently with unique goals in mind. Therefore
following every tool and adopting every software solution will not lead you where you want to be.
RCM companies and software solutions partners offer tailor-made plans to suit your needs.
Automation adoption in RCM could be a lengthy process:
Implementing AI in revenue cycle management could be cumbersome since the step automatically changes
your usual workflow. For example, you will need a dedicated team of IT professionals to deploy and
manage the solutions in-house. The procedure could be overwhelming. Hence you can also hire an RCM
company to do it for you. Staff training is vital to make the most out of your new system and reap
maximized ROIs. Ensure that the team taking care of the deployment has sufficient knowledge to
integrate critical internal processes like EMR and accounting systems with the new solution. It is
advisable not to settle for a partner who uses the same approach for all healthcare systems.
Create an Intelligent Automation Approach
According to a definition put forth by IBM, an
intelligent automation approach means
integrating artificial intelligence, robotic process automation, and business process management to
scale your workflow management. With an intelligent automation approach, you can use a
target-oriented task-based workflow to scale your revenue cycle management efforts.
Robotic Process Automation:
RPA is more targeted at labor-intensive tasks in the revenue cycle management process. With RPA
integrated into your system, you can perform the repetitive work in a much shorter period of time
with greater accuracy. For example, RCM processes like
payment posting and appeal processing could be done much
more accurately without human intervention.
Artificial Intelligence and Machine Learning:
Structuring and analyzing data is not only limited to the C-suite executives in the current times.
It would help if you equipped executive team members involved in the day-to-day work with the right
tools to actualize your ROI maximization goals with AI in revenue cycle management. AI and ML work
to analyze data and predict trends and patterns. For example, an ML tool could tell you the chances
of retrieving your aged AR or even predict a write-off.
Optical Character Recognition:
With so much focus put on the importance of data analysis, it is crucial to remember that among the
several data points generated in a typical day in a healthcare organization, many unstructured data
points are present. For example, the provider’s scanned medical records and audio recordings could
contain valuable information. It should be put in the data ecosystem for a good outcome. Solutions
like optical character recognition will help you solve these issues and incorporate these critical
data points into the analytical scenario.
Human Intervention: How far is it required?
Human intervention is an integral part of your digital transformation journey. There are several
complex decisions that the humans in your team take care of regularly. However, with the help of the
right tools of AI in revenue cycle management, they can move ahead with much better outcomes.
According to several healthcare leaders, the AI tools enable the human team to perform better and
minimize their errors, ultimately leading to maximized ROI. That does not necessarily mean that the
automation systems should be used as an alternative to human teams.
Using AI in revenue cycle management will give your team that extra edge to perform better and
ensure that your revenue integrity is strong and stable. You should invest in regular staff training
programs so that your team remains current with the tools’ latest services. Incorporating AI in
revenue cycle management could be an overwhelming journey. Partner with an experienced revenue cycle
management company that can show you the right path ahead.
We hope this article helped you understand how you can maximize your ROI with AI in revenue cycle
management. Please connect with us in the comment section below in case of any queries. Subscribe to
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