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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[How to screen geriatric conditions in primary care?]
1Service de gériatrie et réadaptation gériatrique, PMU, CHUV, 1011 Lausanne. Stefanie.Monod-Zorzi@chuv.ch
As populations age, early screening for geriatric conditions like cognitive and functional decline in primary care is crucial. Simple procedures can help prevent rising healthcare costs and improve elder health.
Area of Science:
- Geriatric Medicine
- Preventive Healthcare
- Public Health
Context:
- Global population aging presents challenges for healthcare systems.
- Increasing prevalence of chronic diseases and functional limitations in older adults.
- Rising healthcare utilization and costs necessitate proactive interventions.
Purpose:
- To propose simple, feasible, and efficient screening procedures for common geriatric conditions.
- To facilitate early recognition of age-related health issues in primary care settings.
- To support preventative measures against functional decline and associated healthcare burdens.
Summary:
- This paper outlines practical methods for screening cognitive impairment, gait disturbance, sensory deficits (hearing and vision), and functional limitations.
- The proposed procedures are designed for implementation within primary care practices.
- Focus is on early detection to mitigate the impact of chronic conditions in aging individuals.
Impact:
- Aims to reduce healthcare utilization and costs associated with untreated geriatric conditions.
- Enhances the capacity of primary care to manage age-related health challenges.
- Promotes healthier aging by enabling timely interventions for functional decline.
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