Exploring the success factors of health information service adoption

2008 ◽  
Author(s):  
Umit Topacan ◽  
A. Nuri Basoglu ◽  
Tugrul U. Daim
Keyword(s):  
Health Information ◽  
Success Factors ◽  
Information Service ◽  
Service Adoption

Exploring the Adoption of Technology Driven Services in the Healthcare Industry

2010 ◽  
pp. 1172-1192
Author(s):  
Umit Topacan ◽  
A. Nuri Basoglu ◽  
Tugrul U. Daim
Keyword(s):  
Health Information ◽  
Information And Communication Technologies ◽  
Medical Information ◽  
User Behavior ◽  
Information Service ◽  
User Characteristics ◽  
Adoption Of Technology ◽  
Service Adoption ◽  
Recent Developments ◽  
Facilitating Conditions

Recent developments in information and communication technologies have helped to accelerate the diffusion of electronic services in the medical industry. Health information services house, retrieve, and make use of medical information to improve service quality and reduce cost. Users—including medical staff, administrative staff, and patients—of these systems cannot fully benefit from them unless they can use them comfortably. User behavior is affected by various factors relating to technology characteristics, user characteristics, social environment, and organizational environment. Our research evaluated the determinants of health information service adoption and analyzed the relationship between these determinants and the behavior of the user. Health information service adoption was found to be influenced by service characteristics, user characteristics, intermediary variables, facilitating conditions, and social factors.

Exploring the Adoption of Technology Driven Services in the Healthcare Industry

2010 ◽  
Vol 2 (1) ◽  
pp. 71-93 ◽  
Author(s):  
Umit Topacan ◽  
A. Nuri Basoglu ◽  
Tugrul U. Daim
Keyword(s):  
Health Information ◽  
Information And Communication Technologies ◽  
Medical Information ◽  
User Behavior ◽  
Information Service ◽  
User Characteristics ◽  
Adoption Of Technology ◽  
Service Adoption ◽  
Recent Developments ◽  
Facilitating Conditions

Recent developments in information and communication technologies have helped to accelerate the diffusion of electronic services in the medical industry. Health information services house, retrieve, and make use of medical information to improve service quality and reduce cost. Users—including medical staff, administrative staff, and patients—of these systems cannot fully benefit from them unless they can use them comfortably. User behavior is affected by various factors relating to technology characteristics, user characteristics, social environment, and organizational environment. Our research evaluated the determinants of health information service adoption and analyzed the relationship between these determinants and the behavior of the user. Health information service adoption was found to be influenced by service characteristics, user characteristics, intermediary variables, facilitating conditions, and social factors.

Exploring the Adoption of Technology Driven Services in the Healthcare Industry

2012 ◽  
pp. 66-86 ◽  
Author(s):  
Umit Topacan ◽  
A. Nuri Basoglu ◽  
Tugrul Daim
Keyword(s):  
Health Information ◽  
Information And Communication Technologies ◽  
Medical Information ◽  
User Behavior ◽  
Information Service ◽  
User Characteristics ◽  
Adoption Of Technology ◽  
Service Adoption ◽  
Recent Developments ◽  
Facilitating Conditions

Recent developments in information and communication technologies have helped to accelerate the diffusion of electronic services in the medical industry. Health information services house, retrieve, and make use of medical information to improve service quality and reduce cost. Users—including medical staff, administrative staff, and patients—of these systems cannot fully benefit from them unless they can use them comfortably. User behavior is affected by various factors relating to technology characteristics, user characteristics, social environment, and organizational environment. Our research evaluated the determinants of health information service adoption and analyzed the relationship between these determinants and the behavior of the user. Health information service adoption was found to be influenced by service characteristics, user characteristics, intermediary variables, facilitating conditions, and social factors.

Exploring the Influences of Service Characteristics on Individuals’Use Intention of Mobile Health Services (Preprint)

2020 ◽  
Author(s):  
Fei Liu ◽  
Pengkun Wu ◽  
Xitong Guo
Keyword(s):  
Personal Information ◽  
New Technology ◽  
Information Service ◽  
Health Care Research ◽  
Privacy Concern ◽  
Service Adoption ◽  
Service Characteristics ◽  
Research Areas ◽  
New Information ◽  
The Relationship

BACKGROUND Service characteristic factors are verified as the determinants for influencing people’s use intention of mHealth. Exploration of the interactions among the service characteristics of users can play an important role in improving service adoption rate. mHealth service appears to be an emerging new technology that presents a new pattern of healthcare service; however, users have concerns that their personal information might be disclosed and used without permission. This concern hinders people’s adoption behavior of mHealth services. OBJECTIVE The objective of this study is to explore how service characteristics (service relevance and service accuracy) interact to influence individuals’ use intention of mHealth services. This study also investigates the moderating roles of innovativeness and privacy concern. METHODS To meet these objectives, six hypotheses thus developed were empirically validated using a survey to test the effects of service characteristics and personal traits on use intention of mHealth. RESULTS We confirm that service relevance and service accuracy positively and directly influence individuals’ use intention of mHealth services. In addition, innovativeness positively affects the relationship between service relevance and use intention. Privacy concern negatively influences the relationship between service relevance and use intention, but positively influences the relationship between service accuracy and use intention. CONCLUSIONS The present study provides new insights into the influencing factors of individuals’ usage behaviour toward mHealth services. Such insight could provide further understanding of how individuals adopt new information service or technologies, which contribute to both information system and health care research areas in a very promising way.

End-User Participation in Health IT Development

2012 ◽  
pp. 318-340 ◽  
Author(s):  
Anna Marie Balling Høstgaard
Keyword(s):  
Information Technology ◽  
Health Information ◽  
Success Factors ◽  
Planning Process ◽  
Social Groups ◽  
User Participation ◽  
Health It ◽  
End User ◽  
Cumulative Knowledge ◽  
First Time

Despite there being extensive cumulative knowledge and many experiences about factors that contribute to health Information Technology (HIT) success, lessons are yet to be learned as many HIT developments still face a number of problems - many of them of an organizational nature. This chapter presents a new method - the EUPHIT method – for studying and understanding one of the most crucial organizational success factors in HIT development: end-user participation. The method was developed and used for the first time throughout a research study of an EHR planning process in a Danish region. It has proved effective in disclosing the interactions that occur between the different social groups involved in HIT development, and in understanding the underlying reasons for these. This allows HIT project management to explore new avenues during the development process in order to support, facilitate, and improve real end-user participation.

Successful Health Information System Implementation

2011 ◽  
pp. 1103-1111
Author(s):  
Kristiina Häyrinen
Keyword(s):  
Information System ◽  
Project Management ◽  
Information Systems ◽  
Health Information ◽  
Success Factors ◽  
Health Information System ◽  
Implementation Process ◽  
Initial System ◽  
System Implementation ◽  
End User

A Standish Group (1994) study showed that only 16% of all information technology projects come in on time and within budget. The situation is not better concerning health information systems. Many health information system implementations are less than completely successful (Berg, 2001; Giuse & Kuhn, 2003; Lorenzi & Riley, 2003). In this article, the health information system means “a system, whether automated or manual, that comprises people, machines and /or methods organized to collect, process, transmit, and disseminate” data that represent user information in healthcare (Kuhn & Giuse, 2001, pp. 275). What is successful implementation and whose success is measured? Successes can be measured in many ways. Delone and McLean have been finding out the success factors of management information system which are also applicable to health information system. The success factors are: system qualities, e.g., the ease of use or time savings, information quality, e.g., completeness or data accuracy, usage, e.g., the frequency of use or the number of entries, user satisfaction, e.g., user-friendliness or overall satisfaction, individual impact, e.g., changed work practices or direct benefits and organizational impact, e.g., communication and collaboration or impact on patient care. Furthermore, user involvement during system development, implementation and organizational culture have been identified as possible factors measuring the success. However, the need for further research to determine which attributes are the most useful ones in measuring success has also been revealed. (van der Meijden, Tange, Troost & Hashman, 2003). The different phases in implementation process are, in general, user needs and requirements analysis (specification), system design, initial system implementation and testing (Ahmad, Teater, Bentley, Kuehn, Kumar, Thomas & Me-khjian, 2002; Schuster, Hall, Couse, Swayngim & Kohatsu, 2003; Souther, 2001). The system requirements analysis includes workflow analysis, and the initial system implementation includes the technical installation of the information system, integration of the information system to other information systems and users’ training. Project management is an important factor in every phase of the implementation project. The purpose of this article is to highlight the health information system implementation process from end-user perspective. Which factors are crucial in the implementation process from the point of view of the end-users? How does project management contribute to the implementation process, what is the role of the end-user in system designing and how does training effect the information system implementation?

Evaluating the quality of health information services in public libraries: an experience from Iran

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sara Valadi-khorram ◽  
Mohammad Reza Amiri ◽  
Mohammad Karim Saberi
Keyword(s):  
Health Information ◽  
Sampling Method ◽  
Public Libraries ◽  
Information Service ◽  
Information Services ◽  
Average Level ◽  
Information Control ◽  
Educational Service ◽  
Content Type

PurposeConsidering the important role of public libraries in providing health information service as well as user feedback in improving the quality of health information services, the purpose of this study is to evaluate the quality of health information service in public libraries of Hamadan, Iran, on the basis of the modified LibQUAL modelDesign/methodology/approachThis practical research was conducted in an analytic-survey method. The statistical population consists of all members of public libraries of Hamadan over 18 years old (12,237 people), and the sample size is calculated to be 373 people. The stratified sampling method was used, and within each class, a convenience sampling method was used. The modified LibQUAL questionnaire was used to gather data. For checking normality of data distribution, the Kolmogorov–Smirnov test and for analyzing date, descriptive statistics and also Chi-square and Wilcoxon tests were applied using SPSS 25.FindingsThe users' minimum level of public libraries in all three dimensions is an average level. The users' desired level of “information control” is higher than other dimensions. The users' perceived level in dimensions of “human resources” and “information control” is high level, while users' perceived level in “educational service” is an “average” level. There is a superiority gap between desired and perceived level in all dimensions, but the adequacy gap was seen only in the dimension of “educational service.”Research limitations/implicationsIn this study, the quality of health information services provided in public libraries is evaluated by the LibQUAL model.Practical implicationsThe results of this research can help managers and librarians of public libraries in measuring the quality of health information services and improving the quality of services provided by libraries. Besides, they can take a more accurate planning and pathologic approach, to eliminate the gap between minimum and desired expectations of users and libraries’ real services.Originality/valueIn this study, the quality of health information services provided in public libraries is evaluated by LibQUAL tool.

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