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Customer Insights: Wake Forest Baptis

Using real-time location data to increase productivity and patient satisfaction at

Atrium Health Wake Forest Baptist, USA

Atrium Health Wake Forest Baptist is using a very robust RTLS implementation deployed at more than 40 buildings with a 390 km² total coverage. More recently, they moved ahead from pure asset tracking to looking at the flow of patients and staff more holistically. This resulted in optimized processes with shortened patient waiting times, increased staff satisfaction and optimized asset usage. RTLS has changed the way the hospital system operates and has made them more efficient.

“We are very pleased with the results of the Digital Twin project. This process improvement initiative, which leveraged our RTLS data, helped us to identify strategies to achieve significantly more appointments in the same physical space with minimal additional resources.” 

Conrad Emmerich, Senior VP Business Services

Conrad Emmerich, Senior VP Business Services

Value Contribution

+30% increase of throughput

In best case scenario to
reach up to 80 patients/day

-80% ruled out

The implementation of majority of suggested measures after failing the stress test

Best performing scenario

Increases throughput, while not impacting length of stay

Challenge

Challenges

Increase throughput

Address challenge of Preoperative Assessment Clinic (PAC) having reached its maximum throughput

Drive effective change

Avoid disruptions by testing the performance of the improvement measures on a Digital Twin

Improve patient experience

Test patient-centric workflows that reduce the length of stay of patients in the PAC

Solution

Solution

  • Creation of a reliable Digital Twin of the PAC based on a large real-time dataset (RTLS)
  • RTLS reduced the need for intensive field observations, saved workdays, avoided service disruption, avoided behavioral bias that reduces data accuracy, accelerated in-depth analysis, and validated the model
  • The clinical team was engaged to suggest improvement measures and define scenarios to be compared
  • The Digital Twin was configured to test the impact of changes on rooms, workforce, and workflows
  • The simulation proved the effects of the changes, identified limiting factors, and suggested enhancements

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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.