Identifying the Adoption Process for Electronic Health Services: A Qualitative Study

Ramtohul, Isabel

doi:10.1007/978-3-662-49012-9_15

“…Many studies have demonstrated the benefits of telemonitoring, reducing hospital emissions, and controlling chronic conditions remotely for patients. However, despite these positive facts, uptake has been slow [13] because the potential cost-saving advantages of new technologies are not always evident to major stakeholders. In some cases, new technologies that comprise eHealth solutions are initially associated with higher costs and more time compared with traditional alternatives [14].…”

Section: Resultsmentioning

confidence: 99%

“…In addition, health service and medical professionals should elicit feedback from patients to support more effective use of eHealth tools and help improve the quality of these tools. In effect, patients need to be involved in the development of eHealth acceptance [13].…”

Section: Resultsmentioning

confidence: 99%

Acceptance and Resistance of New Digital Technologies in Medicine: Qualitative Study

Safi

¹

,

Thiessen

²

,

Schmailzl

³

2018

View full text Add to dashboard Cite

BackgroundThis study discusses the acceptance of new medical technologies in health care settings and resistance to these technologies from hospitals, doctors’ surgical centers, electronic health (eHealth) centers, and related institutions. We suggest a novel method of identifying factors that influence the acceptance of, and resistance to, new technologies by medical staff and patients.ObjectiveThe objective of this study was to determine and evaluate the factors that influence acceptance and resistance to achieve a successful implementation of new technologies.MethodsThe target group was patients residing in Brandenburg and major stakeholders in the local health care structure, for instance, medical institutions and medical professionals. The process relies on 3 models: the technology acceptance model, the unified technology acceptance and use of technology model, and the theory of technical innovation diffusion. Qualitative methodology was employed in this study, and an exploratory design was adopted to gain new insights into a poorly understood phenomenon in the German context. This enabled the researcher to take a flexible approach toward exploring a wide range of secondary data and to choose a different approach when unexpected information emerged. Content analysis was used to identify and interpret the data, and the researcher assured that the meaning associated with the information has concurred with that of the original source.ResultsThis study confirmed that adoption of new technologies in health care depended on individual opinions of the factors relating to them. Some medical professionals believed that technology would interfere with their ability to make independent diagnoses and their relationships with patients. Doctors also feared that technology was a means of management control. In contrast, other medical staff welcomed technology because it provided them with more opportunities to interact with patients and their carers. Generally, patients were more enthusiastic about technology than medical professionals and health care managers because it allowed them to have greater autonomy in selecting health care options. The need for all groups to be involved in the development of the new health care approach was an important outcome, otherwise resistance to it was likely to be greater. In other words, the strategy for change management was the indicator of success or failure. Therefore, following our analysis, a number of practical precepts emerged that could facilitate user acceptance of digital solutions and innovative medical technologies.ConclusionsThe acceptance of digital solutions and innovative medical technology by patients and professionals relies on understanding their anxieties and feelings of insecurity. The process will take time because individuals accept change at different rates. Hence, the development of an extensive user community to fully and successfully implement eHealth is less likely in the short term; however, this should not prevent the push for changes in health care technology.

show abstract

Exploring Factors Influencing Big Data and Analytics Adoption in Healthcare Management

Edu

¹

,

Agozie

²

2022

Research Anthology on Big Data Analytics, Architectures, and Applications

1

0

View full text Add to dashboard Cite

Demand for improvement in healthcare management in the areas of quality, cost, and patient care has been on the upsurge because of technology. Incessant application and new technological development to manage healthcare data significantly led to leveraging on the use of big data and analytics (BDA). The application of the capabilities from BDA has provided healthcare institutions with the ability to make critical and timely decisions for patients and data management. Adopting BDA by healthcare institutions hinges on some factors necessitating its application. This study aims to identify and review what influences healthcare institutions towards the use of business intelligence and analytics. With the use of a systematic review of 25 articles, the study identified nine dominant factors driving healthcare institutions to BDA adoption. Factors such as patient management, quality decision making, disease management, data management, and promoting healthcare efficiencies were among the highly ranked factors influencing BDA adoption.

show abstract

Exploring Factors Influencing Big Data and Analytics Adoption in Healthcare Management

Edu

¹

,

Agozie

²

2020

Handbook of Research on Managing Information Systems in Developing Economies

2

0

View full text Add to dashboard Cite

Demand for improvement in healthcare management in the areas of quality, cost, and patient care has been on the upsurge because of technology. Incessant application and new technological development to manage healthcare data significantly led to leveraging on the use of big data and analytics (BDA). The application of the capabilities from BDA has provided healthcare institutions with the ability to make critical and timely decisions for patients and data management. Adopting BDA by healthcare institutions hinges on some factors necessitating its application. This study aims to identify and review what influences healthcare institutions towards the use of business intelligence and analytics. With the use of a systematic review of 25 articles, the study identified nine dominant factors driving healthcare institutions to BDA adoption. Factors such as patient management, quality decision making, disease management, data management, and promoting healthcare efficiencies were among the highly ranked factors influencing BDA adoption.

show abstract

Identifying the Adoption Process for Electronic Health Services: A Qualitative Study

Cited by 3 publications

References 26 publications

Acceptance and Resistance of New Digital Technologies in Medicine: Qualitative Study

Acceptance and Resistance of New Digital Technologies in Medicine: Qualitative Study

Exploring Factors Influencing Big Data and Analytics Adoption in Healthcare Management

Exploring Factors Influencing Big Data and Analytics Adoption in Healthcare Management

Contact Info

Product

Resources

About