Scaling Automation: Two Proven Paths to Success
Lessons from two leading hospital systems show how to overcome the obstacles to automation.
Jon Krause/theispot.com
Organizations faced with a large volume of repetitive manual processes often look to automation to free up their employees to work on more productive tasks. The challenge, however, is deciding how to implement automation in a way that best suits the organization. Which processes should be prioritized for automation? And should the effort be led by technical experts or process experts? A close look at how two hospital systems adopted automation can provide clues to what approaches might work best for other organizations.
In 2018, the finance department of the Mass General Brigham hospital system in Boston was facing a worsening bottleneck in keeping track of the providers in its network. Front-line employees needed to gather up-to-date information on an increasing number of health care providers, but the process was slow and inefficient, requiring three separate hospital administrators to manually collect, aggregate, and export data through a mind-numbing series of clicks.
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To help automate this and future processes, the hospital system established a new automation team by recruiting developers to build and manage automation tools and a process specialist from its finance department. The specialist worked with the finance department to restructure its workflow in a way that would lend itself to automation and with the automation team to build a tool that would fit into the new workflow. The tool they developed collected data on providers automatically and organized the information in a way that highlighted the actions the finance team would need to take to move the process forward. This liberated front-line finance employees to do higher-value work and allowed for scalability to manage the expected growth in the number of health care providers in the system.
References
1. J. Watson, G. Schaefer, D. Wright, et al., “Automation With Intelligence: Pursuing Organisation-wide Reimagination,” PDF file (Deloitte Insights, 2020), www2.deloitte.com.
2. The scorecards reflect a long-standing framework for evaluating “technology acceptance.” See F.D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly 13, no. 3 (September 1989): 319-340.
3. B. Armstrong and J. Shah, “A Smarter Strategy for Using Robots,” Harvard Business Review 101, no. 2 (March-April 2023): 36-42.
4. J.P. MacDuffie and J.F. Krafcik, “Integrating Technology and Human Resources for High-Performance Manufacturing: Evidence From the International Auto Industry,” in “Transforming Organizations,” eds. T.A. Kochan and M. Useem (New York: Oxford University Press, 1992), 209-225; and E. Brynjolfsson and L.M. Hitt, “Beyond Computation: Information Technology, Organizational Transformation and Business Performance,” The Journal of Economic Perspectives 14, no. 4 (Fall 2000): 23-48.