Clinical Laboratory Employees' Attitudes Toward Artificial Intelligence

Area of Science:

• Laboratory Science
• Medical Technology
• Computational Biology

Background:

• Artificial intelligence (AI) is increasingly integrated into various scientific fields.
• Understanding end-user perspectives is crucial for successful technology implementation in laboratories.

Purpose of the Study:

• To assess laboratory personnel's attitudes towards the application of artificial intelligence (AI) in laboratory settings.
• To identify potential benefits and concerns associated with AI adoption among laboratory staff.

Main Methods:

• A survey was distributed to laboratory employees across diverse roles, work environments, and educational backgrounds.
• Data analysis focused on response rates, familiarity with AI, perceived benefits, and expressed concerns.

Main Results:

• A 42% response rate was achieved, with 79% of respondents familiar with AI, though only 4% considered themselves experts.
• Familiarity with AI correlated with educational level (P = .005).
• Key perceived benefits included error reduction (24%) and time savings (16%), while job security (27%) was the primary concern. Overall support for AI projects was 64%.

Conclusions:

• Laboratory personnel acknowledge the potential of AI to enhance work efficiency and accuracy.
• General support for AI adoption exists, tempered by significant concerns about job displacement and AI performance.
• Further research and clear communication strategies are needed to address employee apprehension and facilitate AI integration.