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Development of an Intelligent Risk Hierarchical Management System on Pulmonary Aspiration for the Elderly.
Fu, Shuojin; Kang, Ruifu; Xuan, Zehui; Wang, Yanling; Xiao, Qian.
Afiliación
  • Fu S; School of Nursing, Capital Medical University, Beijing, China.
  • Kang R; School of Nursing, Capital Medical University, Beijing, China.
  • Xuan Z; School of Nursing, Capital Medical University, Beijing, China.
  • Wang Y; School of Nursing, Capital Medical University, Beijing, China.
  • Xiao Q; School of Nursing, Capital Medical University, Beijing, China.
Stud Health Technol Inform ; 315: 43-46, 2024 Jul 24.
Article en En | MEDLINE | ID: mdl-39049223
ABSTRACT
For the elderly, the risks associated with pulmonary aspiration are significant, and can severely impact their quality of life. Therefore, the management of pulmonary aspiration risk is crucial in promoting healthy aging, an aspect often overlooked in self-health management for the elderly. To enhance self-management of pulmonary aspiration risk among the elderly, we have organized a multidisciplinary team to develop an intelligent risk hierarchical management system on pulmonary aspiration for the elderly. This system tailors the assessment with different questionnaires based on the elderly individual's environment. Additionally, it utilizes elderly-friendly formats such as pictures, videos and animations, making it easier for seniors to comprehend the occurrence and hazards of pulmonary aspiration. This enables them to proactively take preventive measures to manage the risk, thus achieving self-management of pulmonary aspiration risk.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Gestión de Riesgos Límite: Aged / Aged80 / Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Gestión de Riesgos Límite: Aged / Aged80 / Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: China