As previously mentioned, one of the best use cases for RPA technology is to streamline and enhance processes in every department of your organization. Identifying what areas of the business are taking the longest or are performing inefficiently is going to allow RPA solutions to take over for those tasks. For example, within the healthcare industry, health care supply chains have so many repetitive tasks. Considering just one of those tasks-the number of claims constantly coming through and ensuring accuracy and efficiency, automation is in increasing demand.
Taking advantage of bots and RPA technology is just the first step to automating the entire enterprise. Especially with the influx of immediate care and high physician demand during when the pandemic hit, there was an even higher demand to automate tasks. According to the PwC Health Research Institute Health’s executive survey, 73 percent of provider executives said their organizations are automating physician’s administrative tasks. With automation, physicians can not only not have to worry about a variety of repetitive-yet critical-admin tasks, but create closer relationships with their patients to increase the quality of care that is provided.
The high demand of increased intelligence and a faster response as to what is going on with COVID-19 in different regions across the world has motivated providers to invest in RPA. According to Gartner, 50 percent of U.S. healthcare providers will invest in RPA in the next three years. In the same survey, healthcare providers listed a number of challenges including the need for cost optimization. RPA technologies naturally address this challenge head-on by automating these mandatory, yet time-consuming tasks that also increase output and efficiencies.
According to an independent study commissioned by UIPath, 66% said RPA restructures existing work, enabling their employees to have more human interactions, and 60% said RPA helps people focus on more meaningful, strategic tasks.
Process Mining and RPA Solutions
While organizations can realize quick ROI when implementing RPA technologies and bots at a smaller scale, the failure rate is quite high because of not having a well thought out process and analysis done prior to automating tasks. RPA technologies and process mining have a lot of synergy between the two for critical reasons- but first let’s define what process mining is exactly. Process mining can reveal data quality issues that need to be addressed. In order to optimize or automate a process, key stakeholders need to understand how exactly a process is currently running to begin with and process mining addresses this and again, produces a scalable, end-to-end automation process solution. The following benefits to utilizing process mining are:
- Analyze processes enterprise-wide without using employee resources
- Collect and analyze data on processes in place based on facts
- Identify inefficiencies in processes and those that can be automated
- Simplify compliance across any industry
When data mining takes place, the data is transformed into event logs that is then turned into visualizations and insightful analyses to take action and move forward with your process automation. With these insights, you will learn how to improve, what needs to be improved and monitor overall how things are getting done to ensure the organization is operating at peak efficiency levels.
Process mining techniques are designed to discover, monitor and improve processes by extracting knowledge from event logs in a variety of systems. The process is so elaborate, yet critical to the overall automation process. In 2011, the Institute of Electrical and Electronics Engineers (IEEE) created a manifesto to promote process mining, defining guiding principles and listing important challenges for software developers, scientists, business managers and end users. According to a Gartner survey, most process mining initiatives have historically been targeted toward business process improvements, however in 2021 are projected to have more use cases targeting business process automation (BPA) and RPA.
Technology like UIPath’s platform, unlike others, is an automation platform with integrated process mining to provide valuable context and impact of automation on end-to-end processes and allows for a hyperautomation strategy. The analysis that takes place on a platform like this involves multiple interactions and significantly enhances the hyperautomation strategy within the platform.
Selecting a tool like this isn’t easy, but it’s mission critical to better assist RPA and overall automation efforts. Process mining really sets the stage for a successful RPA implementation that is also scalable. Having these tools in place will help diagnose and prescribe a solution to the issues of the overall health of the organization. With the right tool in place, stakeholders will be able to see the complete ROI pipeline including information as to what can be optimized, implementation, and the impacts of the proposed process changes including costs and the effort required by the organization.
The same Deloitte Global RPA Survey also reported that 63 percent of organizations that implement RPA will likely work alongside a dedicated third-party partner due to a lack of specialist skills. In order to implement and scale up successfully, stakeholders need to be aware of the resources available to them and when it makes the most sense to partner with another team to create a solution that produces the best outcome for the future of the business.