g-f(2)2026 Decoding Automation Success: Insights from Leading Hospital Systems

 

genioux Fact post by Fernando Machuca and ChatGPT

Introduction:

As organizations seek to enhance efficiency and productivity, automation emerges as a pivotal solution. However, the journey to successful automation implementation is fraught with challenges. Drawing insights from leading hospital systems, Mass General Brigham and Mount Sinai, illuminates two distinct paths to scaling automation effectively.

genioux GK Nugget:

"The key to scaling automation lies in a nuanced approach that blends technical expertise with process knowledge, empowering organizations to navigate complexities and achieve transformative outcomes." — Fernando Machuca and ChatGPT

genioux Foundational Fact:

Mass General Brigham and Mount Sinai exemplify contrasting yet successful approaches to automation deployment. While Mass General Brigham prioritizes process expertise and empowers frontline workers, Mount Sinai leans towards technical proficiency within its IT department.

10 Most Relevant genioux Facts:

1. Mass General Brigham and Mount Sinai showcase successful automation implementations, offering valuable lessons for organizations grappling with similar challenges.
2. Automation adoption necessitates careful consideration of which processes to prioritize and whether technical or process experts should lead the effort.
3. Both hospital systems have developed extensive automation capabilities, resulting in substantial labor hour savings and indirect cost reductions.
4. Scorecards play a pivotal role in evaluating automation opportunities, facilitating decision-making and measuring impact across dimensions.
5. Positive-sum automation, as observed in Mass General Brigham's approach, focuses on enhancing productivity without displacing workers, thereby fostering flexibility and value addition.
6. Embedding technical knowledge within process-focused teams (Mass General Brigham's approach) or process expertise within technical teams (Mount Sinai's approach) is crucial for successful automation.
7. Mount Sinai's strategy emphasizes arming technical experts with process knowledge, enabling them to identify and automate complex processes efficiently.
8. Mass General Brigham's method empowers frontline workers to identify automation opportunities and collaborate with technical experts, expanding the scope of automation.
9. The process-technology trade-off underscores the significance of combining process and technical knowledge to maximize the benefits of automation.
10. Successful automation deployment requires an organizational culture that values collaboration, innovation, and continuous learning, as exemplified by Mass General Brigham and Mount Sinai.

Conclusion:

In navigating the complexities of automation deployment, organizations can glean valuable insights from the experiences of Mass General Brigham and Mount Sinai. By embracing a holistic approach that integrates technical expertise and process knowledge, organizations can overcome obstacles and unlock the full potential of automation to drive efficiency, productivity, and innovation.

REFERENCE

The g-f GK Article

Ben Armstrong and Benjamin Berkowitz, Scaling Automation: Two Proven Paths to Success, MIT Sloan Management Review, February 28, 2024.

Ben Armstrong

Ben Armstrong is the Executive Director and a Research Scientist at MIT’s Industrial Performance Center, where he co-leads the Work of the Future Initiative¹²³. His research and teaching examine how workers, firms, and regions adapt to technological change¹²³.

Before joining MIT, he was a Research Fellow and Postdoctoral Research Associate at Brown University, where he studied how workers, policymakers, and the public think about automation¹². He also taught courses on technology, public policy, and capitalism¹².

In his work, Ben has collaborated with governments, non-profit organizations, and firms to understand how scholarship and education can be useful to practitioners and policymakers¹². He has also worked with the Provost to spearhead the Brown and the Innovation Economy initiative, which developed a strategy for the university to contribute to good job growth in the region¹².

Ben completed his undergraduate degree at Northwestern University and his PhD at MIT, where he received the Lucian Pye Award for Outstanding Political Science PhD Dissertation¹². Before graduate school, he helped lead an open-source hardware non-profit and worked at Google Inc¹².

Source: Conversation with Bing, 3/1/2024

(1) Ben Armstrong | IPC. https://ipc.mit.edu/people/ben-armstrong/.

(2) Ben Armstrong - MIT Work of the Future. https://workofthefuture-taskforce.mit.edu/team-member/ben-armstrong/.

(3) BEN ARMSTRONG - Bio. https://www.benarmstrong.work/.

Benjamin Berkowitz

Benjamin Berkowitz is the Director of Digital Process Automation at Vertex Pharmaceuticals³². He has a wealth of experience in implementing new technology to create breakthrough business value¹².

Before joining Vertex, Berkowitz was the first director of the intelligent automation team at Mass General Brigham, where his direct experience deploying automation software informed research findings². He has also worked with the Provost to spearhead the Brown and the Innovation Economy initiative, which developed a strategy for the university to contribute to good job growth in the region².

In addition to his role at Vertex, Berkowitz is a speaker at the Intelligent Automation World Series, where he discusses topics such as document capture and data management for fully digitized services¹.

Berkowitz's work focuses on how workers, firms, and regions adapt to technological change¹². His commitment to innovation and automation has made him a key figure in the field of digital process automation¹².

Source: Conversation with Bing, 3/1/2024

(1) Director, Digital Process Automation at Vertex - ZoomInfo. https://www.zoominfo.com/p/Benjamin-Berkowitz/1566627389.

(2) Scaling Automation: Two Proven Paths to Success - MIT Sloan Management .... https://sloanreview.mit.edu/article/scaling-automation-two-proven-paths-to-success/.

(3) Benjamin Berkowitz - Intelligent Automation World Series: February 2023. https://www.ssonetwork.com/events-ia-world-series/speakers/benjamin-berkowitz.

Copilot's Summary

The MIT Sloan Management Review article "Scaling Automation: Two Proven Paths to Success" by Ben Armstrong and Benjamin Berkowitz provides insights into how organizations can effectively scale automation¹.

Key points from the article include:

1. Organizations often look to automation to free up their employees to work on more productive tasks¹.

2. The challenge lies in deciding how to implement automation in a way that best suits the organization¹.

3. The authors provide lessons from two leading hospital systems, Mass General Brigham and Mount Sinai, on how to overcome the obstacles to automation¹.

4. They discuss how these hospital systems adopted automation and provide clues to what approaches might work best for other organizations¹.

5. The authors argue that instead of focusing on replacing workers by automating job tasks as quickly as possible, the best path forward is to focus on developing worker-augmenting AI tools¹.

6. These tools enable less-educated or less-skilled workers to perform more expert tasks¹.

7. The authors also highlight the importance of having both technical experts and process experts in the team to ensure successful automation¹.

The article provides valuable insights into how organizations can effectively scale automation and leverage it to improve productivity and efficiency¹.

Source: Conversation with Bing, 3/1/2024

(1) Scaling Automation: Two Proven Paths to Success - MIT Sloan Management .... https://sloanreview.mit.edu/article/scaling-automation-two-proven-paths-to-success/.

(2) The Top MIT SMR Articles of 2019 - MIT Sloan Management Review. https://sloanreview.mit.edu/article/the-top-mit-smr-articles-of-2019/.

(3) MIT Sloan Management Review. https://sloanreview.mit.edu/.

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References

“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2026, Fernando Machuca and ChatGPT, February 28, 2024, Genioux.com Corporation.

 

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