Person-Specific Standardized Vulnerability Assessment in Health and Social Care

Area of Science:

• Health Informatics
• Gerontology
• Computational Social Science

Background:

• Existing health and social care assessment models can be fragmented.
• A holistic view of patient vulnerabilities is crucial for effective management.
• Screening tools often face challenges with incomplete patient data.

Purpose of the Study:

• To introduce an integrated, person-specific, standardized vulnerability assessment model.
• To complement existing assessment tools by providing a holistic patient overview.
• To serve as an effective screening tool for health and social care workers.

Main Methods:

• Integration of a Markov chain model for patient state evolution over time.
• Incorporation of a Bayesian network to customize the dynamic model.
• Development of a personalized yet standardized multi-dimensional risk assessment framework.

Main Results:

• The model provides personalized risk assessments based on incomplete patient information.
• It offers a standardized, multi-dimensional view of patient vulnerabilities.
• Demonstrated application within the context of elder care.

Conclusions:

• The integrated model enhances patient management by offering a holistic vulnerability perspective.
• It is a valuable screening tool for health and social care professionals.
• The framework effectively handles incomplete data for personalized risk assessment in elder care.