The 3 main advantages of RPA in the healthcare industry are freeing the medical staff from a bunch of administrative tasks, reduce errors to zero, and save money.
With an estimative value of reaching roughly $5 billion this year, more and more CIOs are turning to RPA to streamline the business processes. UiPath RPA technology can save companies time and money by taking over and performing repetitive tasks. Despite the growing number of use cases, especially when it comes to updating the medical records, managing staffing levels, or simplifying claims processing, RPA is still not widespread in healthcare settings.
What role can RPA play in healthcare?
First, let us see what RPA is. RPA is the abbreviation of Robotic Process Automation which is a technology for business process automation that allows organizations to emulate and integrate human actions within digital systems.
A great benefit of RPA is that the technology can function on the organization’s existing infrastructure, which makes it non-intrusive by nature, enabling organizations to automate processes at a fraction of cost and time.
For most occupations, 30% of the tasks are susceptible to automation. Using RPA technology in healthcare opens up opportunities that can free up clinicians’ time and enhance care delivery.
RPA can improve the healthcare cycle – clinics or any kind of medical provider collect a great amount of data from the patients, from personal information to treatment details. Using RPA software, providers can extract and optimize data effortlessly. RPA will manipulate the collected data to generate analytics that provides clinical staff with valuable insights. Then, they can make more accurate diagnoses and give tailored treatments to patients.
New patient appointments – when a new patient fills out an appointment request form online, the software robots can help by scanning the incoming data, build a report and direct the request to the correct work queue based on its attributes. These actions lead to an increase in patient and provider satisfaction.
Simplifying claims processing – claim processes involve data input, processing, and evaluation. This whole process is error-prone and time consuming with an impact on the cash flow. RPA will streamline the claim process by speeding the data processing while reducing the errors.
How can you implement RPA successfully?
It is important, from the start, to determine what kind of problem you hope to solve with RPA. For a successful deployment, organizations must follow several best practices such as research, staff education, presenting a strong use case and security.
Your RPA strategy should include selecting a vendor, one or more solutions, seeking advice from experts, and, in the end, selecting a partner to implement the technology appropriately.