We all have heard about the brighter side of RPA and its consumption to help healthcare organizations achieve better operational efficiency, provide 100% ROI and improve employee percept and also assist in scaling up business operations in a short span of time.

Typically organizations implement any new process/technology either by using the ‘Top-Down approach’ or ‘Bottom-Up Approach. ’However, RPA automation might create a fright of losing jobs and unclear responsibilities after automated chatbots or Robots are deployed.

Robotic process automation (RPA) projects are a demanding endeavor. However, if organizations take on their automation projects prepared and are aware of the possible roadblocks, they can reap great rewards. Many are already making the most out of it as workflow automation services as the global RPA market increases in value and volume. The Grand View Research forecasts this market to hit $13.74 billion by 2028, growing at a CAGR of 32.8% from 2020

Inaccurately identified Use cases for automation in healthcare will only produce a low ROI, cluttered operational model, and would not improve the process efficiency as expected by the business or even the metrics proposed to the Business. The entanglement of processes identified for automation plays a pivotal role in producing the expected ROI. A few of them are:

Not following best practices

  • If the team misses out on the best practices, it would be difficult for other team members to understand and re-use the flow.
  • In case of transitions, the time taken for the new members would be longer than expected.
  • When there is a need to automate the process, it will be an intimidating task to decode the logic.

In almost all the RPA projects, we will come across situations where there would not be an elementary solution. In this case, if the team members are unable to automate a particular step, it will be important to ensure there is enough support from the RPA platform vendors as they have the expertise in using the tool features in multiple ways by different customers. Customization and ease of use are the Keys here.

Post-Implementation Adoption

Businesses often pertain to all the measures required before the adoption of RPA. However, they fail to take care of the aftermath, which might come after the automation is deployed into production.

So, we can culminate by saying that the challenges faced by different projects provide a checklist for being prepared to not fall into any one of the categories mentioned above. It also helps in creating a knowledge graph of possible constancies for each challenge identified, different propositions to solving them, and how to ad-lib on each solution once they are implemented.

The Future of Robotics in the healthcare genre

As AI, ML, data analytics, computer vision, and other technologies accelerate, RPA will evolve to complete tasks autonomously and more efficiently, and accurately.

Technology providers and researchers need to explore the next generation of robotics solutions by providing learning & development support, to drive the discovery of new applications for AI and IoT technologies within the field of medical robotics. These will support the ongoing innovations that increase automation, drive efficiencies, and solve some of the greatest healthcare challenges.

But the fear of losing employment still will persist within the workforce. Organizations need to tackle this situation with the desired KT and need to create an environment where technology and manpower can be clubbed together to create a healthy Caregiving sphere.

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