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Computerized Neuropsychological Assessment Devices: Joint Position Paper of the American Academy of Clinical Neuropsychology and the National Academy of Neuropsychology
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This joint position paper of the American Academy of Clinical Neuropsychology and the National Academy of Neuropsychology sets forth our position on appropriate standards and conventions for computerized neuropsychological assessment devices (CNADs). In this paper, we first define CNADs and distinguish them from examiner-administered neuropsychological instruments. We then set forth position statements on eight key issues relevant to the development and use of CNADs in the healthcare setting. These statements address (a) device marketing and performance claims made by developers of CNADs; (b) issues involved in appropriate end-users for administration and interpretation of CNADs; (c) technical (hardware/software/firmware) issues; (d) privacy, data security, identity verification, and testing environment; (e) psychometric development issues, especially reliability and validity; (f) cultural, experiential, and disability factors affecting examinee interaction with CNADs; (g) use of computerized testing and reporting services; and (h) the need for checks on response validity and effort in the CNAD environment. This paper is intended to provide guidance for test developers and users of CNADs that will promote accurate and appropriate use of computerized tests in a way that maximizes clinical utility and minimizes risks of misuse. The positions taken in this paper are put forth with an eye toward balancing the need to make validated CNADs accessible to otherwise underserved patients with the need to ensure that such tests are developed and utilized competently, appropriately, and with due concern for patient welfare and quality of care.
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“Although the AACN and the NAN outlined appropriate standards for the development of digital assessment tools development back in 2012 (15), the field had not significantly advanced as expected for the next years (16).”
From Research on digital tool in cognitive assessment: a bibliometric analysis (2023) · cites this paper as [15]
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“First, high concordance may not be guaranteed after simply converting traditional pen-and-paper tests into the digital versions (15, 16).”
From Research on digital tool in cognitive assessment: a bibliometric analysis (2023) · cites this paper as [15]
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Metadata
- Authors
- Bauer, R. M., Iverson, G. L., Cernich, A. N., Binder, L. M., Ruff, R. M., & Naugle, R. I.
- Affiliations
- University of Florida (US)
- University of British Columbia (CA)
- VA Maryland Health Care System (US)
- Oregon Health & Science University (US)
- National Academy of Neuropsychology (US)
- Cleveland Clinic (US)
- Corresponding author
- Bauer, Russell M.
- Venue
- The Clinical Neuropsychologist
- Publisher
- Informa UK Limited
- Published
- 2012-02
- Volume
- 26
- Issue
- 2
- Pages
- 177-196
- ISSN
- 0920-1637 (ISSN-L)
- 1385-4046
- 1744-4144
- PMC
- PMC3847815
- OpenAlex
- W2123523173
- Cited by
- 154
- References
- 91
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 15 · 2023: 13 · 2022: 5 · 2021: 13 · 2020: 15 · 2019: 13 · 2018: 10 · 2017: 19 · 2016: 10 · 2015: 12 · 2014: 7 · 2013: 7 · 2012: 1
- FWCI
- 12.10
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Clinical Neuropsychologist (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Center for Research Resources (UL1RR029890)
- Topics
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Keywords
- computerized neuropsychological assessment, psychometric validation, reliability and validity, response validity, effort monitoring, data security and privacy, identity verification, underserved patients, clinical utility, test misuse
- MeSH terms
- Cognition, Computers, Humans, Neuropsychological Tests, Psychometrics, Reproducibility of Results
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