One of the biggest challenges the healthcare industry faces is the need for a big change. With inefficient processes taking up a lot of time, delays cost the industry. Furthermore, healthcare organizations are scrambling to meet demand with an increase in healthcare following the pandemic.
With a lot happening, you may be wondering about how the industry can keep up. There are a lot of potential solutions to the problem; however, a long-term plan inevitably involves using AI.
Many processes, like billing, require constant repetitive tasks, which increases the chances of errors. To avoid this problem, RPA enables automation in healthcare billing, which can speed up this process with incredible accuracy.
To explain this topic further, this article covers all the basics of automation in healthcare billing, its potential benefits, and challenges.
What is RPA and Intelligent Automation in Healthcare Billing?
Robotic Process Automation, commonly known as RPA, is an AI software that can handle repetitive tasks that arise in the healthcare industry. Places like supply chains and billing, where a lot of accounting has to be done manually, can tend to be highly efficient due to the amount of time and errors they go through.
Instead, healthcare organizations can opt for RPA or Automation as a Service, which can mimic the same work as a typical white-collar worker. The system can work completely independently or with the help of an employee.
The idea is simple. If there is a task that is repetitive, RPA can take over and work round-the-clock and deliver the right work every single time. This has the potential to make the processes like billing highly efficient, which can improve employee satisfaction and patient care. By streamlining, healthcare organizations can leverage their employees in other places that may require attention.
What Tasks Can Be Automated By RPA?
#1 Posting Payments
RPA can help make billing in the healthcare industry a lot more efficient. Introducing RPA to payment posting can improve efficiency since it reduces the need for an employee to execute repetitive insurance payments.
Furthermore, these organizations can train the AI to post payments, similarly to how it is done by a regular worker. This not only reduces the payment posting time but can also help reduce costs in the long run. Finally, it can also ensure no claims are missed, ensuring all the reimbursements are made in time to avoid delays.
#2 Processing Claims
One of the major problems faced in the healthcare industry is errors caused by manual errors. This is perhaps a big factor affecting patient satisfaction. However, introducing RPA in claims processing can solve a lot of problems.
RPA can take over the repetitive tasks of workers, including payment filing, rule checks, and submissions. Doing these tasks manually takes a lot of time, which is why healthcare organizations would prefer an RPA to take over them.
#3 Claim Denials
As we’ve mentioned earlier, manual errors are a major problem in the healthcare industry. To minimize claim denials, RPA can be trained to fix simple errors that would otherwise cause a claim to be denied. After fixing the problem, it can resubmit the claim, which will save a lot of time in processing.
Furthermore, they can also be trained to highlight serious errors to refer to a worker to overlook. That way, workers will only go through claims that are challenging, while the RPA can take over simpler, repetitive tasks of correcting simple errors.
Benefits of Intelligent Automation and RPA
Inefficiency in the healthcare industry can cause a lot of problems. Aside from costs, it may affect the quality of healthcare. However, introducing RPA may be able to alleviate a lot of these problems. Here are some benefits of automating healthcare procedures using RPA.
#1 Increasing Efficiency
By automating repetitive tasks, healthcare organizations have a potential tool that can help them save a lot of time. Humans are more likely to make errors in monotonous and repetitive tasks. Instead, RPA can be trained to take over these tasks and improve efficiency. This will increase turnaround times, with the possibility of errors being minimized.
#2 Reduce Costs
A major benefit of RPA is its ability to reduce costs. With automation in the revenue cycle process, healthcare organizations can lower their costs and turnaround times, especially in billing and claims.
#3 Improving Employee Satisfaction
Contrary to popular belief, RPA isn’t completely taking over a human’s job. In this case, one of the major benefits of RPA is its ability to improve employee satisfaction. By eliminating the need to do repetitive tasks, workers can focus on actual challenges in the industry. This not only helps reduce errors but also improves overall efficiency.
#4 Improving Healthcare Quality
Lastly, RPA can significantly improve the quality of healthcare services offered. By reducing errors in billing and payments, patient satisfaction is bound to increase. Furthermore, since the RPA will take over simple tasks, healthcare workers can focus more on patient care.
Challenges of Adopting RPA in Healthcare Billing
While there are a ton of benefits to automating processes in healthcare billing, there are a few challenges that need to be addressed. One of the biggest challenges of transforming healthcare billing with automated processes is cyber security.
A lot of this data is stored in online servers that are susceptible to threats. Healthcare organizations can’t compromise patients’ data privacy, which is why they may be hesitant to switch to AI.
Furthermore, automating processes requires careful collaboration between workers and AI to maximize its benefits. Training workers to handle AI is another cost some organizations would rather avoid incurring. However, despite the costs of automating the billing process, the healthcare industry continues to move towards automation.
Final Thoughts
With the growing need to improve the healthcare industry’s billing process, many organizations are opting for an RPA. This AI software can take over repetitive tasks from workers reducing the chances of errors and turnaround times.
With improved efficiency, healthcare organizations can expect to see a reduction in costs and an increase in the quality of services they provide!
