Orly Ardon 1 , Robert L Schmidt 1 Show Affiliations »
Abstract
OBJECTIVE: The objective of this study was to determine the attitudes of laboratory personnel toward the application of artificial intelligence (AI) in the laboratory. METHODS: We surveyed laboratory employees who covered a range of work roles, work environments, and educational levels. RESULTS: The survey response rate was 42%. Most respondents (79%) indicated that they were at least somewhat familiar with AI. Very few (4%) classified themselves as experts. Contact with AI varied by educational level (P = .005). Respondents believed that AI could help them perform their work by reducing errors (24%) and saving time (16%). The most common concern (27%) was job security (being replaced by AI). The majority (64%) of the respondents expressed support for the development of AI projects in the organization. CONCLUSIONS: Laboratory employees see the potential for AI and generally support the adoption of AI tools but have concerns regarding job security and quality of AI performance. © American Society for Clinical Pathology 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
OBJECTIVE: The objective of this study was to determine the attitudes of laboratory personnel toward the application of artificial intelligence (AI) in the laboratory. METHODS: We surveyed laboratory employees who covered a range of work roles, work environments, and educational levels. RESULTS: The survey response rate was 42%. Most respondents (79%) indicated that they were at least somewhat familiar with AI. Very few (4%) classified themselves as experts. Contact with AI varied by educational level (P = .005). Respondents believed that AI could help them perform their work by reducing errors (24%) and saving time (16%). The most common concern (27%) was job security (being replaced by AI). The majority (64%) of the respondents expressed support for the development of AI projects in the organization. CONCLUSIONS: Laboratory employees see the potential for AI and generally support the adoption of AI tools but have concerns regarding job security and quality of AI performance. © American Society for Clinical Pathology 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Keywords:
artificial intelligence; clinical laboratory; employee attitudes; laboratory personnel; machine learning; survey
Mesh： See more »
Year: 2020
PMID： 32417927 DOI： 10.1093/labmed/lmaa023
Source DB: PubMed Journal: Lab Med ISSN： 0007-5027