The application of mobile computing and technology to health care services

Hameed, Khawar

doi:10.1016/s0736-5853(02)00018-7

Cited by 57 publications

(27 citation statements)

References 10 publications

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“…Therefore, it is necessary to explore 'service quality in mHealth' in order to develop a comprehensive and parsimonious scale for such ubiquitous health services. [24] 2002 Mobile telemedicine for home care Hameed [25] 2002 General application of mobile computing health care Varshney [7] 2005 Pervasive health care Varshney [26] 2006 General application of wireless technology in health care Jen et al [27] 2007 Mobile (information and communications technology) ICT for a hospital outpatient service Varshney [28] 2008 Wireless patient monitoring with emergency messages Patrick et al [29] 2008 Challenges of using mobile phone for health Junglas et al [5] 2009 Mobile ICT for frontline health employees Lorenz & Oppermann [30] 2009…”

Section: Mhealth Servicementioning

confidence: 99%

Development and validation of an instrument to measure user perceived service quality of mHealth

Akter

D’Ambra

Ray

2013

Information & Management

227

157

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Ray, P. (2013). Development and validation of an instrument to measure user perceived service quality of mHealth. Information and Management, 50 (4), 181-195. Development and validation of an instrument to measure user perceived service quality of mHealth AbstractThe role of service quality in fostering the growth of mHealth services has gained much attention in the academic and practitioner communities. However, empirical research in this area has been beset by inadequate conceptualization and the lack of a validated scale. This study addresses these limitations by theoretically conceptualizing and empirically validating a multidimensional service quality scale in the mHealth context. The findings show that mHealth service quality is a hierarchical, multidimensional, and reflective construct, which consists of three primary dimensions and eight subdimensions. The results also confirm that the mHealth service quality scale is more effective at predicting satisfaction and continuance in a nomological network. Development and Validation of an Instrument to MeasureUser Perceived Service Quality of mHealth Abstract: The role of service quality in fostering the growth of mHealth services has gained much attention in academic and practitioner communities. However, empirical research in this area has been beset by inadequate conceptualization and the lack of a validated scale. This study addresses these limitations by theoretically conceptualizing and empirically validating a multidimensional service quality scale in the mHealth context. The findings show that the mHealth service quality is a hierarchical, multidimensional, and reflective scale, which consists of three primary dimensions and eight subdimensions. The results also confirm that the mHealth service quality scale can better predict satisfaction and continuance in a nomological network.

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Section: Mhealth Servicementioning

confidence: 99%

Development and validation of an instrument to measure user perceived service quality of mHealth

Akter

D’Ambra

Ray

2013

Information & Management

227

157

View full text Add to dashboard Cite

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“…Mobile health (m-health) was introduced as "unwired e-med" in wireless telemedicine systems [8], and can be defined as "mobile computing, medical sensor, and communications technologies for health care" [9]. Mobile computing and wireless technologies benefit healthcare by enabling mobile handheld or wearable devices that can help patients obtain central healthcare service quickly [10], and may have the potential to deliver healthcare services 24/7. Well-designed e-health and m-health systems act as indirect-care "professionals" caring for their patients and have become integral components of modern healthcare systems.…”

Section: Introductionmentioning

confidence: 99%

The Adoption of Mobile Health Management Services: An Empirical Study

2010

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As their populations age, many countries are facing the increasing economic pressure of providing healthcare to their people. In Taiwan, this problem is exacerbated by an increasing rate of obesity and obesity-related conditions. Encouraging the adoption of personal health management services is one way to maintain current levels of personal health and to efficiently manage the distribution of healthcare resources. This study introduces Mobile Health Management Services (MHMS) and employs the Technology Acceptance Model (TAM) to explore the intention of students in Executive Master of Business Management programs to adopt mobile health management technology. Partial least squares (PLS) was used to analyze the collected data, and the results revealed that "perceived usefulness" and "attitude" significantly affected the behavioral intention of adopting MHMS. Both "perceived ease of use" and "perceived usefulness," significantly affected "attitude," and "perceived ease of use" significantly affected "perceived usefulness" as well. The results also show that the determinants of intention toward MHMS differed with age; young adults had higher intention to adopt MHMS to manage their personal health. Therefore, relevant governmental agencies may profitably promote the management of personal health among this population. Successful promotion of personal health management will contribute to increases in both the level of general health and the efficient management of healthcare resources.

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“…Medical doctors and nurses work in an environment which requires high mobility [6], [7], [8], Within their daily routine their sphere of activity alters frequently between wards, outpatient clinics, diagnostic and therapeutic departments and operating theatres. Although access to stationary clinical workstations is provided in the hospital, their locations do not always coincide with the user's current workplace.…”

Section: Example Domain: Medicine/health Carementioning

confidence: 99%