B – 135 Disruptive Technology Initiative Survey: Facilitators and Barriers to Adopting Technology in Neuropsychology

Abstract Objective The American Academy of Clinical Neuropsychology (AACN) Disruptive Technology Initiative (DTI) Survey “Facilitators and Barriers to Adopting Technology in Neuropsychology” aimed to characterize the technology used in clinical neuropsychology practice and research across career stages and to consider barriers and facilitators of adoption of this technology. Method Data were collected from October 2024 to February 2025. Survey results were analyzed with descriptives, and open-text responses with natural language processing (NLP) in Python using Non-Negative Matrix Factorization (NMF) and validated with a Biterm Topic Model. Results There were 302 respondents, mean age 43.57 years (SD: 12.15, range 18 to 80), 65.23% cisgender female (28.48% cisgender male, 6.29% other identification), Caucasian/White (77.08%) Hispanic/Latino (8.61%), Asian or Pacific Islander (4.98%), or African-American (2.66%). Most were clinical neuropsychologists (80.80%) or postdoctoral fellows (9.27%). Benefits included improved access to patients in rural/remote locations (71%), less time spent on scoring and report-writing (63%), and improved efficiency/ lower wait times (52%). Factors preventing adoption included lack of access/resources (47%), investment to learn and/or acquire technology (43%), data security (41%), patients’ skills level (41%), and validity/reliability in special/minority populations (41%). Many respondents did not perceive financial incentives in adopting technology. NLP analyses of open-text revealed themes related to technology leadership as well as financial, institutional, and security-related barriers. Conclusion Obstacles to adoption, including cost, financial benefit, training, equity of access, improved research with minority populations, and structural limitations must be addressed.

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Publication Details

Journal
Archives of Clinical Neuropsychology
Published
2025-09-26
DOI
https://doi.org/10.1093/arclin/acaf084.285
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
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article

B – 135 Disruptive Technology Initiative Survey: Facilitators and Barriers to Adopting Technology in Neuropsychology

Robert M. Bilder, Brittany Wolff, Andrew Ball, Travis Marchman
Archives of Clinical Neuropsychology
Cognitive Science and Mapping
article

B – 135 Disruptive Technology Initiative Survey: Facilitators and Barriers to Adopting Technology in Neuropsychology

Robert M. Bilder, Brittany Wolff, Andrew Ball, Travis Marchman
article en

Abstract

Abstract Objective The American Academy of Clinical Neuropsychology (AACN) Disruptive Technology Initiative (DTI) Survey “Facilitators and Barriers to Adopting Technology in Neuropsychology” aimed to characterize the technology used in clinical neuropsychology practice and research across career stages and to consider barriers and facilitators of adoption of this technology. Method Data were collected from October 2024 to February 2025. Survey results were analyzed with descriptives, and open-text responses with natural language processing (NLP) in Python using Non-Negative Matrix Factorization (NMF) and validated with a Biterm Topic Model. Results There were 302 respondents, mean age 43.57 years (SD: 12.15, range 18 to 80), 65.23% cisgender female (28.48% cisgender male, 6.29% other identification), Caucasian/White (77.08%) Hispanic/Latino (8.61%), Asian or Pacific Islander (4.98%), or African-American (2.66%). Most were clinical neuropsychologists (80.80%) or postdoctoral fellows (9.27%). Benefits included improved access to patients in rural/remote locations (71%), less time spent on scoring and report-writing (63%), and improved efficiency/ lower wait times (52%). Factors preventing adoption included lack of access/resources (47%), investment to learn and/or acquire technology (43%), data security (41%), patients’ skills level (41%), and validity/reliability in special/minority populations (41%). Many respondents did not perceive financial incentives in adopting technology. NLP analyses of open-text revealed themes related to technology leadership as well as financial, institutional, and security-related barriers. Conclusion Obstacles to adoption, including cost, financial benefit, training, equity of access, improved research with minority populations, and structural limitations must be addressed.

Archives of Clinical NeuropsychologyVol. 40(Supplement_2)
Openalex Percentile: Top 86%
Cognitive Science and Mapping
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