[Optimizing radiological diagnostic management via mobile devices in trauma surgery]

Area of Science:

• Medical Informatics
• Radiology Workflow Optimization
• Digital Health Solutions

Context:

• Physician time is a critical resource, often consumed by administrative tasks like radiological diagnostic requests.
• Current request processes are administratively complex and time-consuming, impacting patient care.
• There is a need for solutions to reduce administrative burden in radiological diagnostics.

Purpose:

• To optimize the process of requesting radiological diagnostics.
• To evaluate a mobile, smartphone and tablet-based application with voice recognition for radiological requests.
• To compare the efficiency of a mobile application (UMBA) against a PC-based system (PCBA) in a trauma surgery department.

Summary:

• A prospective study compared a mobile app (UMBA) with a PC-based system (PCBA) for radiological requests.
• UMBA significantly reduced the time from indication to completed request (mean 9.33 min vs. 19.57 min).
• The time to create a request on the device was also significantly lower with UMBA (mean 25.21 s vs. 63.77 s).

Impact:

• Mobile, voice-assisted requests considerably reduce time in daily clinical routines.
• This demonstrates the potential of user-oriented digitalization in healthcare.
• Future iterations of the process will incorporate artificial intelligence for further enhancement.