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Development of a web-based care networking system to support visiting healthcare professionals in the community.
Lee, Jakyung; Park, Susan; Cho, Mi-Hee; Kang, Ji-Won; Kim, Minkyoung; Choi, Suhyeon; Kim, Seok-Gyu; Choi, Ji-Hee; Han, Keumhee; Kim, Chang-O; Moon, Il-Chul; Choi, Moon; Jang, Soong-Nang.
Affiliation
  • Lee J; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
  • Park S; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
  • Cho MH; Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea.
  • Kang JW; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
  • Kim M; Red Cross College of Nursing, Chung-Ang University, 84 Heukseok-Ro, Dongjak-Gu, Seoul, 06974, Republic of Korea.
  • Choi S; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
  • Kim SG; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
  • Choi JH; Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
  • Han K; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
  • Kim CO; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
  • Moon IC; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
  • Choi M; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
  • Jang SN; Institute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
BMC Health Serv Res ; 23(1): 1427, 2023 Dec 16.
Article in En | MEDLINE | ID: mdl-38104086
ABSTRACT

BACKGROUND:

The role of visiting health services has been proven to be effective in promoting the health of older populations. Hence, developing a web system for nurses may help improve the quality of visiting health services for community-dwelling frail older adults. This study was conducted to develop a web application that reflects the needs of visiting nurses.

METHODS:

Visiting nurses of public health centers and community centers in South Korea participated in the design and evaluation process. Six nurses took part in the focus group interviews, and 21 visiting nurses and community center managers participated in the satisfaction evaluation. Focus group interviews were conducted to identify the needs of visiting nurses with respect to system function. Based on the findings, a web application that can support the effective delivery of home visiting services in the community was developed. An artificial intelligence (AI) algorithm was also developed to recommend health and welfare services according to each patient's health status. After development, a structured survey was conducted to evaluate user satisfaction with system features using Kano's model.

RESULTS:

The new system can be used with mobile devices to increase the mobility of visiting nurses. The system includes 13 features that support the management of patient data and enhance the efficiency of visiting services (e.g., map, navigation, scheduler, protocol archives, professional advice, and online case conferencing). The user satisfaction survey revealed that nurses showed high satisfaction with the system. Among all features, the nurses were most satisfied with the care plan, which included AI-based recommendations for community referral.

CONCLUSIONS:

The system developed from the study has attractive features for visiting nurses and supports their essential tasks. The system can help with effective case management for older adults requiring in-home care and reduce nurses' workload. It can also improve communication and networking between healthcare and long-term care institutions.
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Full text: 1 Database: MEDLINE Main subject: Artificial Intelligence / Nurses, Community Health Limits: Aged / Humans Country/Region as subject: Africa Language: En Journal: BMC Health Serv Res Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: Artificial Intelligence / Nurses, Community Health Limits: Aged / Humans Country/Region as subject: Africa Language: En Journal: BMC Health Serv Res Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2023 Type: Article