Alleviating Healthcare Revenue Cycle with Automation and AI
healthcaretechoutlook

Alleviating Healthcare Revenue Cycle with Automation and AI

By Healthcare Tech Outlook | Thursday, February 14, 2019

Healthcare Revenue Cycle with Automation and AI

FREMONT, CA: Artificial Intelligence (AI) and automation are changing the face of the modern healthcare business. There cannot be any debate that these intelligent technologies help in healthcare operations. However, the challenge is identifying the best use cases and defining a hard-headed action plan. Below are a few steps which can assist healthcare professionals in identifying and implementing the best use cases of artificial intelligence within the healthcare revenue cycle.

1. Identifying useful types of intelligent automation

Having an understanding of available technologies is primary. AI and robotic process automation (RPA) are the two core types of intelligent automation available. AI learns and iterates through completing repetitive, high-volume, false-prone tasks while collecting intelligence along the way which allows the technology to identify and address more significant, more complex, opportunities for automation. The aim is to mimic human information using computers and solving problems immediately.

RPA takes merely a set of inputs and produces an output upon predefined rules. It doesn't learn but reacts the same way every time. RPA completes repetitive, high volume, error-prone tasks while collecting simple metrics for reporting.

Undertaking these repetitive tasks and offload them to software, freeing up human capital to focus on more complex tasks is the objective of intelligent automation in the healthcare industry. There is a multitude of intelligent automation offering multiple capabilities, but human possesses infinite smart skills. When an organization can apply exceptional employee skills to the critical parts of their business than to the process of automation can conduct, it realizes the value intelligent automation bring to the organization.   

2. Understanding the application of intelligent automation

Predefined rule-based business processes are vital candidates for RPA. Complex judgment based processes can benefit from the use of AI.  Categorizing revenue cycle process helps to set the tone as an organization continues to figure out the procedures to automate and decides on implementation.

3.Brainstorm to identify the methods to automate

The impact of automation should be taken into consideration to determine the processes to be automated. Speed can be targeted within the healthcare revenue cycle.

4. Apply problem and solution-oriented approach

The problem-oriented approach identifies bottlenecks and areas where workers spend most of their time performing repetitive tasks. A solution-oriented approach optimizes workflows. This approach recognizes where key performance indicators can impact positively by implementing intelligent automation.

Check out: Top Revenue Cycle Management Service Companies

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