Objective: The Automated Neuropsychological Assessment Metrics (ANAM) is a library of computer based tests designed to measure cognitive function at a single time-point or longitudinally for detection of cognitive change. This study sought to validate ANAM as a cognitive screening tool for presence of confirmed neuropsychological diagnosis in an outpatient setting. Method: Retrospective data analysis was conducted for N = 139 patients referred for outpatient neuropsychological assessment that included a selection of ANAM tests administered following a detailed neuropsychological evaluation. Clinical diagnosis was made by the neuropsychologist independent of the ANAM test results and resulted in a diagnostic mix of both neurologic and psychological etiologies. ANAM scores predictive of presence of confirmed diagnosis were identified using multiple logistic regression and the predictive ability of the resulting model was quantified using receiver operator characteristic analysis. Results: 16.5% of participants were without cognitive impairment or clinical diagnosis and served as the control group. Sensitivity and specificity for the best set of scores were 71% (95% CI, 61.8−79.6) and 91% (71.9−98.7), respectively, with a positive predictive value of 97.5 (91.1−99.6) and negative predictive value of 40.4 (27.0−54.9). When combined with the anger and depressive symptom scores from the ANAM Mood Scale, the overall ANAM Composite Score provided the greatest accuracy in identifying those who received a subsequent clinical diagnosis. Conclusion: Results support ANAM's predictive value in identifying presence of a confirmed clinical diagnosis in an outpatient sample. Although data should be replicated in larger samples, these results suggest that ANAM, in combination with other clinical data, may be a useful tool for neuropsychological screening.