Using artificial intelligence (CognoSpeak™) in memory assessments: a GP interview study

Area of Science:

• Neurology
• Artificial Intelligence in Healthcare
• Health Services Research

Background:

• Memory assessment pathways are strained, necessitating research into new diagnostic technologies.
• Subjective memory deficits encompass conditions like dementia and mild cognitive impairment.
• Current systems face challenges in efficiently diagnosing and managing memory-related conditions.

Purpose of the Study:

• To explore General Practitioners' (GPs) perspectives on the existing memory assessment pathway.
• To understand GPs' views on the potential implementation of an AI tool, CognoSpeak™.
• To identify barriers, benefits, and future development proposals for AI in memory assessment.

Main Methods:

• A qualitative interview study was conducted in South Yorkshire, NHS.
• 18 GPs participated in semi-structured interviews.
• Data were analyzed using reflexive thematic analysis, ensuring demographic diversity.

Main Results:

• GPs identified system-wide problems and underutilization within the memory assessment pathway.
• They highlighted assessment/referral dilemmas and patient/family perspectives.
• GPs discussed optimal implementation sites, barriers, benefits, and future development of CognoSpeak™.

Conclusions:

• Effective implementation of CognoSpeak™ could enhance diagnostic speed, capacity, and longitudinal assessment for mild cognitive impairment.
• Concerns include potential unintended consequences, unfunded work, and exacerbating existing inequalities.
• GPs raised issues of equitable technology access for elderly and deprived populations.