J Clin Exp Neuropsychol. 2026 Jul 19:1-17. doi: 10.1080/13803395.2026.2703680. Online ahead of print.
ABSTRACT
OBJECTIVE: The objective of this study was to characterize contemporary technology use in U.S. clinical neuropsychology and identify perceived barriers, facilitators, benefits, competencies, and training needs associated with technology adoption.
METHOD: The AACN Disruptive Technology Initiative developed the Facilitators and Barriers to Adopting Technology in Neuropsychology survey, which was administered from October 2024 through February 2025 to licensed practitioners and trainees through professional organizations and social media. The Qualtrics survey included multiple-choice and open-ended items assessing practice characteristics, technology use, perceived productivity effects, and training experiences. After data cleaning, 302 valid responses were retained for analysis. Descriptive statistics were used to summarize quantitative data, and natural language processing-based topic modeling was applied to open-ended responses to identify thematic categories.
RESULTS: Respondents most commonly reported routine use of computerized assessment platforms and automated scoring systems, whereas home-based, mobile, and ecologically embedded approaches were used less frequently. Commonly endorsed barriers included limited patient access to devices or reliable internet, insufficient validation of available tools, privacy and security concerns, institutional resistance, and financial disincentives related to billing and RVU structures. Reported benefits included greater scoring efficiency, streamlined workflow, faster report turnaround, and expanded access for geographically remote or mobility-limited patients. Although respondents generally endorsed moderate-to-high technological literacy, most reported minimal formal training and substantial reliance on self-directed learning. Younger clinicians also reported greater technological literacy and higher rates of technology uptake.
CONCLUSION: U.S. clinical neuropsychology is in a transitional phase in which technology is increasingly integrated into practice but remains unevenly adopted across settings and modalities. These findings underscore the need for competency-based training across career stages, stronger validation and implementation infrastructure, and reimbursement models that support secure, ethical, and sustainable technology integration in neuropsychological practice.
PMID:42472380 | DOI:10.1080/13803395.2026.2703680
