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Intelligent Automation Hub

Our Automation team works closely with internal teams to help deliver automated solutions for processes and tasks where efficiency can be improved. 

What is automation?

Automation is technology that allows a person to configure computer software, or a “robot,” to perform the actions of a human through interaction with digital systems. This configuration is designed to execute a business process.

Simply put, automation makes your day easier by reducing redundant processes you would otherwise need to complete.

Who we are

In work that supports the Steele Institute for Health Innovation’s foundational pillars, our business analysts and programmers partner with data scientists to layer different levels of technology. The Automation team is then able to research and implement leading-edge automation tools throughout the organization.

By collaborating with internal teams across the organization, we’re able to help deliver automated solutions for processes and tasks where efficiency can be improved.

What we do

To support our work, the Automation team focuses on three strategic areas:

  • Delivering business processes that have tangible and measurable business benefits for our partners
  • Consistently and continuously improving the automation development process
  • Creating a robust and scalable platform to develop and deliver process automation that decreases delivery times

Our goal

Adding layers of intelligence to our processes with enhanced automation frees our employees to do higher-value work that better utilizes their skills — which translates to better care for our patients.

Robotic process automation technology provides employees — including non-technical ones —the tools to configure their own software robots and solve automation challenges. By partnering with the Automation team, Geisinger employees can even create their own virtual business assistant or “bot” to complete tedious tasks.

6 stages of bot creation

  1. Discovery: We meet with Geisinger teams to review their workflows and discover opportunities for automation.
  2. Design: Once a process has met intake criteria, our process and technical architects work together to develop a blueprint for the new bot for the automated workflow.
  3. Development and testing: Our developers code and build the bot. Then we’ll test it to make sure it works just as we designed.
  4. Pre-deployment: The bot is built and ready to be tested by the Geisinger team that requested it.
  5. Initial deployment: The bot is up and running, but being monitored for potential issues and improvements. We’ll make minor adjustments if needed.
  6. Production: After two weeks, the bot is officially launched. Then its work will be monitored daily.

Meet our leadership team

  • Emily LaFeir, Senior Director, Innovations Operations and Automation
  • Jonathan Straub, Senior Data Solutions Architect

Have an idea for automation?

Click here to submit your idea.

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