The Resident Classification System in Long-Term Care Institutions

Autor:	Hsin-Che Tsai, Nan-Chen Hsieh, Jui-Fa Chen
Rok vydání:	2013
Předmět:	Long-term care General Computer Science Nursing Medical treatment Health information technology Computer science Management efficiency food and beverages Functional status Work efficiency macromolecular substances Grading (education) Care personnel
Zdroj:	International Journal of Advancements in Computing Technology. 5:409-418
ISSN:	2233-9337 2005-8039
DOI:	10.4156/ijact.vol5.issue2.52
Popis:	The application for Health Information Technology can help staffs of long-term care institutions arrange daily care for residents and provide better personalized care services. In this study, we developed a Resident Classification System (RCS) through the concept of different types of care for resident assessment, including grading individuals in terms of the severity of five functional status assessment aspects of mental, movement, eating, excretion and medical treatment. Through the aid of RCS, residents can be classified into different types of care, and assessment results can assist care staffs in facilitating their work and delivering proper care to individual needs. We designed and built RCS through UML methodology for long-term care institutions. We not only can help care staffs understand the needs of residents, but also make personalized care plans and weekly schedules, so as to achieve the aims of comprehensive assessment and personalized care services. Moreover, resident care quality, care personnel work efficiency, and institution management efficiency can all be improved as a result of the completion of RCS.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7c32da4df9b682ac76a5538b0ee324e9 https://doi.org/10.4156/ijact.vol5.issue2.52 Zobrazit plný text záznamu