Alternative Input for Perfusion Management Devices: Voice Recognition for Data Input and the Effects on Charting and...

Area of Science:

• Medical Technology
• Cardiovascular Perfusion
• Health Informatics

Background:

• Hands-free data input technologies are advancing in healthcare.
• Voice-to-text applications present potential for improved medical charting.
• Perfusionists require efficient and accurate methods for documenting bypass events.

Purpose of the Study:

• To evaluate the benefits and drawbacks of voice-to-text charting for perfusionists.
• To compare hands-free charting with traditional paper methods in simulated bypass cases.

Main Methods:

• Twelve perfusion students used both paper charts and a custom voice-to-text app.
• Two simulated cardiopulmonary bypass cases were utilized for data collection.
• Data analyzed included event detection, charting speed, and accuracy using linear mixed models.

Main Results:

• Paper charting recorded significantly more detailed information than voice-to-text.
• Voice-to-text charting significantly reduced the time from event detection to recording.
• No significant difference was found in the number of events noticed and recorded.

Conclusions:

• Voice-to-text charting offers improved timeliness, beneficial for high-event situations in perfusion.
• Paper charting captured more comprehensive data, with specific missed event types differing between methods.
• Further app development is recommended to enhance usability and data completeness for perfusion charting.