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  6. Center for Diagnostic Imaging, Switzerland
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Achieving operational excellence through data-driven change management at

Center for Diagnostic Imaging, Switzerland

“We see enormous potential in the optimization of administrative patient processes and the stringent digitalization of documentation. Siemens Healthineers has helped us achieve some of our ambitious goals quickly and in a structured manner.”

Achim Escher, Managing Director

Value Contribution

100% paperless processes

Throughout the entire imaging department

Enablement of imaging center

To further self-develop additional BI tools

More than 2000 current referrers analyzed

To improve data quality and outline strategic implications

Challenge

Challenges

Establish data-driven processes

Creating a fully paperless imaging department with increased security and faster information flows

Adopt digitalization

Transitioning to a new IT landscape, building the basis for modern radiology services

Improve competitiveness

Discovering evidence-based potentials to facilitate referrals and increase patient satisfaction

Solution

Solution

  • Change-management program based on a value stream analysis and advanced data analytics:
  • Development of a process map to provide a solid foundation for further analyses and recommendations
  • Establishment of paperless processes through digital surveys, booking tools, and staff information systems
  • Enhancement of patient experience and patient flow through planned technical and layout changes
  • Implementation of extended BI solutions for performance analysis, monitoring, and controlling

  • Referrer and competitor analyses to discover new referral opportunities and avoid overly strong dependencies

Let's unlock new value - together

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

Contact us
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.