Information System Success Model for Customer Relationship Management System in Health Promotion Centers

Choi, Wona; Rho, Mi Jung; Park, Jiyun; Kim, Kwang Jum; Kwon, Young Dae; Choi, In Young

doi:10.4258/hir.2013.19.2.110

Cited by 52 publications

(77 citation statements)

References 17 publications

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“…Next, the use of Cronbach's alpha was evaluated for internal consistency reliability [37]. The values for all constructs ranged from 0.871 to 0.965.…”

Section: Resultsmentioning

confidence: 99%

Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users

Lee

Rho

2013

Healthc Inform Res

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ObjectivesTo improve and promote mobile health monitoring services, this study investigated the perception of various factors influencing the acceptance of services between users and non-users.MethodsThis study drew 9 variables from studies related to mobile health monitoring services and the unified theory of acceptance and the use of technology model. A total of 219 samples were collected by a paper-based survey from users (n = 106) and non-users (n = 113). Analysis was carried out using a two-independent samples t-test.ResultsThe findings indicate that users have a more positive perception of service benefits than non-users. Although there were difference between users and non-users, all respondents had a positive perception of the service benefits. After users used the service, they were less concerned about the risks involved with it. However, both users and non-users had a high negative perception of service risk. Users also had a more positive perception of intimacy and communication associated with the services than non-users. Both users and non-users had a high behavioral intention to use the services. Finally, this study observed that older subjects tended to recognize the higher value of the services.ConclusionsThis study provides insights to improve and invigorate mobile health monitoring services. This study also offers insights into how to increase the number of users of mobile health monitoring services in South Korea.

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“…Next, the use of Cronbach's alpha was evaluated for internal consistency reliability [37]. The values for all constructs ranged from 0.871 to 0.965.…”

Section: Resultsmentioning

confidence: 99%

Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users

Lee

Rho

2013

Healthc Inform Res

Self Cite

View full text Add to dashboard Cite

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“…The system quality includes accessibility (Choi et al, 2013), integration (Bossen, Jensen, & Udsen, 2013;Wixom &Todd, 2005), ease of use (Bossen et al, 2013) and efficiency that are commonly employed in medical research. To measure the quality of the medical information, this study adopted the indicators of accuracy (Choi et al, 2013), completeness (Tretiakov, Whiddett, & Hunter, 2017), relevance (Choi et al, 2013), reliability (Choi et al, 2013), timeliness (Choi et al, 2013;Tretiakov et al, 2017) and understandability (Choi et al, 2013), which are also commonly employed in medical research. Other than system quality and information quality, individual cognition and expressive ability, team factors and leadership have influences on effective communication.…”

Section: Lastly Recommendation Concerns Professional Recommendationsmentioning

confidence: 99%

Positive Impacts of Electronic hand‐off systems designs on Nurses’ communication effectiveness

Hou

Lee

et al. 2019

J Nurs Manag

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Aim Different designs of electronic hand‐off systems might have different levels of effectiveness; this study validated the effectiveness of systems with an Identify, Situation, Background, Assessment and Recommendation (ISBAR) design to one without such a design. Background Adverse consequences in hospital commonly occur when there are breakdowns in the transmission of information between team members. To ensure information accuracy and consistency, some Taiwan hospitals implemented electronic hand‐off systems. However, the effectiveness of such systems was not investigated. Methods A quasi‐experiment was conducted to the nurses of two Taiwan case hospitals, one with ISBAR and the other with non‐ISBAR design systems and 200 questionnaires were used to collect data. Results The respondent rate was 72%. Using system with ISBAR design, nurses can enhance their communication effectiveness and further increase their individual benefits at hand‐off. Using a non‐ISBAR hand‐off system, communication effectiveness depends solely on the nurses’ individual cognitive and expressive ability. Conclusion System with ISBAR design can ensure effective information transmission among nurses for care continuity and prevention of adverse events. Implications for Nursing Management Ensuring the design of electronic systems is adequate, nursing managers can save nurses’ time and effort while using the system to perform their regular work effectively and gain competitive advantage.

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“…Leadership behavior and commitment and providing relationship between the information system and organization performance, and tasks are influence on moving towards technologies [21]. The implementation of a CHF disease management system based on an agent approach requires the organizational culture to accept the need to use this system and high-level management support in healthcare organizations.…”

Section: General Key Factors In Chf Disease Management Through Mamentioning

confidence: 99%

Multi-Agent System as a New Approach to Effective Chronic Heart Failure Management: Key Considerations

2013

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ObjectivesGiven the importance of the follow-up of chronic heart failure (CHF) patients to reduce common causes of re-admission and deterioration of their status that lead to imposing spiritual and physical costs on patients and society, modern technology tools should be used to the best advantage. The aim of this article is to explain key points which should be considered in designing an appropriate multi-agent system to improve CHF management.MethodsIn this literature review articles were searched with keywords like multi-agent system, heart failure, chronic disease management in Science Direct, Google Scholar and PubMed databases without regard to the year of publications.ResultsAgents are an innovation in the field of artificial intelligence. Because agents are capable of solving complex and dynamic health problems, to take full advantage of e-Health, the healthcare system must take steps to make use of this technology. Key factors in CHF management through a multi-agent system approach must be considered such as organization, confidentiality in general aspects and design and architecture points in specific aspects.ConclusionsNote that use of agent systems only with a technical view is associated with many problems. Hence, in delivering healthcare to CHF patients, considering social and human aspects is essential. It is obvious that identifying and resolving technical and non-technical challenges is vital in the successful implementation of this technology.

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Information System Success Model for Customer Relationship Management System in Health Promotion Centers

Cited by 52 publications

References 17 publications

Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users

Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users

Positive Impacts of Electronic hand‐off systems designs on Nurses’ communication effectiveness

Multi-Agent System as a New Approach to Effective Chronic Heart Failure Management: Key Considerations

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