Large Language Model for Understanding and Monitoring Elderly Neurocognition

Sponsor
Northumbria Healthcare NHS Foundation Trust
Study ID
NCT07347431
Status
Recruiting
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Conditions

  • Dementia

Eligibility Criteria

Sex
ALL
Age
65 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • LUMEN prototype software interaction — OTHER
    This is a prototype software which seeks to gather collateral information relevant to a dementia clinical assessment.

Study Details

Dementia affects millions of people worldwide, and early diagnosis is essential for getting the right care and support. Doctors rely on collateral histories (accounts from family members or caregivers) to understand changes in a person's memory and thinking. However, these histories can be incomplete, unstructured, or difficult to obtain, making diagnosis more challenging. This study will test LUMEN (Large Language Model for Understanding and Monitoring Elderly Neurocognition), an AI-powered conversation tool designed to help caregivers describe their loved one's symptoms more effectively. By asking structured questions and guiding the conversation, LUMEN can create clear, well-organised reports for memory clinic doctors. This could make assessments quicker, more accurate, and less stressful for families. We will test LUMEN in real-world clinics by asking caregivers and doctors to use it and provide feedback. We want to understand how easy it is to use, whether it could improve the quality of information shared, and how it fits into existing NHS memory clinic processes. We will also run co-production workshops with community groups to ensure the tool is accessible to people from diverse cultural and language backgrounds. This research is exciting because it explores how artificial intelligence can improve dementia care. If successful, LUMEN could enhance the diagnostic process, reduce carer burden, and help more people access dementia support sooner. In the future, this tool could be used nationwide in memory clinics, improving care for thousands of families.

Key Dates

First listed
Jan 16, 2026
Start date
Mar 19, 2026
Status verified
Mar 2026
Primary completion
Dec 31, 2026
Completion
Dec 31, 2026

Study Design

Enrollment
60 participants (estimated)

Arms

  • Arm: Patient-carer dyads
    Carers (n=20-30 dyads): Recruited via Northumbria NHS Memory Clinics. Eligible carers will be adults (≥18 years) who know the patient well, have basic English literacy, and can provide informed consent. • Patients (n=20-30): Individuals (≥65 years) attending a memory clinic for cognitive assessment. 1. Baseline Data Collection: * Demographics (age, gender, ethnicity, socioeconomic status). * Clinical diagnosis (where available). * Cognitive test scores (MoCA/ACE). 2. LUMEN Interaction: o Carers will use LUMEN on a laptop or tablet to provide structured collateral histories (\~20-30 min). 3. Usability and Cognitive Load Assessment: * SUS (System Usability Scale): 10-item Likert-scale questionnaire assessing ease of use (score ≥70 = good usability). * NASA-TLX (Task Load Index): Evaluates perceived cognitive workload (scores 0-29 = low workload). 4. Qualitative Evaluation: * Semi-structured interviews (n=10 carers).
  • Arm: Clinicians
    4.1. Participants and Recruitment • Clinicians (n=8-10): Specialists in dementia care (neurologists, psychiatrists, geriatricians, advanced nurse practitioners) with ≥2 years of experience. 4.2. Study Procedures 1. Baseline Data Collection: o Demographics (age, gender, ethnicity, socioeconomic status). 2. LUMEN Interaction: o Clinicians will review LUMEN-generated histories to assess completeness and clinical utility. 3. Usability and Cognitive Load Assessment: * SUS (System Usability Scale): 10-item Likert-scale questionnaire assessing ease of use (score ≥70 = good usability). * NASA-TLX (Task Load Index): Evaluates perceived cognitive workload (scores 0-29 = low workload). 4. Qualitative Evaluation: * Semi-structured interviews (n=4-5 clinicians).

Primary Outcome Measure

SUS (System Usability Scale) [ Time Frame: Immediately after use of software ]

Central Contacts

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