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Expanding access to technology and workforce development opportunities at

University of Iowa Health Care, USA

Siemens Healthineers and University of Iowa Health Care have established a 10-year Value Partnership that builds on a long-standing relationship and will help advance care in Iowa over the next decade. The partnership will provide Iowans with access to cutting-edge imaging technology; use artificial intelligence and data analytics to improve performance and efficiency; expand research opportunities; and invest in workforce training and development for staff and students.

“This partnership is a win not only for our patients, who will have access to state-of-the art technology and more advanced care, but also the college and the students who will reap the benefits from new research and educational opportunities.”

Colin Derdeyn, Professor and Chair, Department of Radiology and Director, Iowa Institute of Biomedical Imaging at UI Health Care

Value Contribution

10 year Value Partnership

Joint emphasis

 On improving stroke care in Iowa

Education and workforce development programs

Challenge

Challenges

Advance medical technology

Stay at the forefront of a changing medical technology landscape 

Improve clinical performance

Leverage artificial intelligence and data analytics to drive efficient care delivery

Enhance training programs

Grow and retain technical and professional talent  

Solution

Solution

  • 10-year Value Partnership to gain expanded access to imaging technology, AI-driven tools, research opportunities, and workforce development
  • syngo Virtual Cockpit for remote scanning assistance
  • Development of advanced skillsets with CrewPlace, PEPconnections and further programs
  • Collaboration for testing and scaling the capabilities of FreeMax in the emergency department

Let's unlock new value - together

Contact with us to find out how to implement the Value Partnerships concept in your organization.

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1

The results and statements by customers of Siemens Healthineers described herein were achieved in the customer's unique setting. Since there is no "typical" hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption), there can be no guarantee that other customers will achieve the same results.