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Key Challenges of RPA Implementation
Fremont, CA: In today's digital world, the most simple and powerful automation software is used to create and automate any business process by combining artificial intelligence, machine learning, and Robotic Process Automation (RPA). Robotic Process Automation (RPA) is ruling the world by providing the best automation solutions to nearly every industry, including healthcare, BPO, insurance, banking, and telecommunications. It provides significant benefits, particularly to the healthcare industry, in terms of optimizing and increasing practice productivity.
While implementing RPA solutions with new emerging technologies, there are a few challenges to overcome that must be considered when deploying these solutions. In this article, we are discussing the top challenges of RPA implementation in the healthcare sector in this article.
Top Challenges in RPA implementation
Lack of Capability
Of course, the RPA tools available today are very advanced and have the most up-to-date features, but some tools still have limited machine learning capabilities. With the integration of AI and machine capability with RPA tools, the true scope of automation will expand.
Business and IT teams must work together to proactively provide a system and business updates to the RPA support team in order to update scripts once they are in production. If multiple applications are used in the process, it may present additional challenges. Any changes to the front-end UI will have an effect on the RPA script and thus the outcome.
RPA Achieves Short Term Results
RPA solutions provide benefits such as easier implementation and a better user experience. This is possible for short-term issues, and companies can benefit from it. However, achieving long-term results necessitates complex Omni-channel platforms as well as frequent workflow review and optimization.