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Objectives: Unequal access to cognitive assessments is a major barrier to timely diagnosis, especially for those living in rural or remote areas. 'One‐stop' cognitive clinic models are a proposed solution, but few such clinics exist. We evaluate the implementation of a new one‐stop State‐wide clinic model in Tasmania, Australia, where 27% of people live in rural/remote areas. Methods: A novel single‐visit protocol has been developed, comprising interdisciplinary medical and cognitive assessments, research participation, consensus diagnosis and management plan. A cross‐sectional evaluation was undertaken using the RE‐AIM (reach, effectiveness, adoption, implementation, maintenance) framework and results benchmarked against the national Australian Dementia Network Registry. Results: Over the first 52 consecutive weekly clinics: Reach: 130 adults were assessed (mean age [SD] 70.12 years [10.31]; 59.2% female) with 40 (36.8%) from rural/remote areas. Effectiveness: 98.5% (128/130) received a same‐day diagnosis: 30.1% (n = 40) Subjective Cognitive Decline, 35.4% (46) Mild Cognitive Impairment, 33.1% (43) dementia and one case inconclusive. Adoption: 22.9% (156) of General Practitioners referred patients. Implementation: Nearly all 'ideal' diagnostic clinical practices were met and >90% of surveyed patients reported 'good/very good' clinic experience. The wait from referral to diagnosis was 2 months shorter than other national Registry clinics (78 vs. 133 days). Conclusions: This 'one‐stop' model provides an interdisciplinary consensus cognitive diagnosis quickly and is well accepted; this may reduce health inequities especially for people living in rural/remote areas. This cognitive clinic model may be of relevance to other centres worldwide and also provides a rich data source for research studies. Key points: Access to cognitive assessments is unequal, especially for people living in rural areas.A 'one‐stop' cognitive clinic resulted in 98.5% same‐day diagnosis, 2 months earlier than the national averageOne‐third of people assessed were from rural/remote areas.This model may inform service design for centres worldwide and provides rich data for research. [ABSTRACT FROM AUTHOR]