Operational and customer relationship management considerations of electronic prescribing among pharmacists

Smith, Alan D.; Motley, Darlene

doi:10.1504/ijeh.2010.034175

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…48 Manimaran and Lakshmi 49 formulated an integrated TAM for Health Management Information System and concluded that health workers' innovativeness and voluntariness had a direct and positive influence on these intentions. Similarly, Smith and Motley 50 found that e-prescribing acceptance was predicted by the technological sophistication, operational factors, and maturity factors constructs, i.e., ease-of-use variables derived from the TAM. Liang et al 51 examined whether TAM can be applied to explain physician acceptance of computerized physician order entry (CPOE), and found that data analysis provided support for all relationships predicted by TAM but failed to support the relationship between ease of use and attitude.…”

Section: Comparison Of Other Technology Acceptance Models With Tammentioning

confidence: 90%

A Systematic Review of the Technology Acceptance Model in Health Informatics

et al. 2018

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Telemedicine applications were between 1999 and 2017, the ICT application area most frequently studied using the TAM, implying that acceptance of this technology was a major challenge when exploiting ICT to develop health service organizations during this period. A majority of the reviewed articles reported extensions of the original TAM, suggesting that no optimal TAM version for use in health services has been established. Although the review results indicate a continuous progress, there are still areas that can be expanded and improved to increase the predictive performance of the TAM.

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Section: Comparison Of Other Technology Acceptance Models With Tammentioning

confidence: 90%

A Systematic Review of the Technology Acceptance Model in Health Informatics

et al. 2018

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“…In the ADDO mHealth context, key facilitating conditions include access to mobile telephony, internet access, and related resources. Facilitating conditions were found to be key determinants of users' continued use of various systems such as those researched by Ng et al (2015) and Smith and Motley (2010). The hypothesis for this perceived-benefits-of-use factor was: H4: Facilitating conditions have an impact on ADDO programme dispensaries' perception of the potential benefits of using the mHealth information system.…”

Section: Facilitating Conditionsmentioning

confidence: 96%

Factors Impacting Tanzanian Rural and Peri-urban Drug Dispensaries' Perceived Benefits from Using an mHealth Reporting System

Elias¹,

Mtebe

2020

Afr. j. inf. commun. (Online)

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This study examines the factors impacting Tanzanian drug dispensaries’ perceptions of the potential benefits of using a mobile health (mHealth) reporting system. Since 2003, the Government of Tanzania has implemented its Accredited Drug Dispensing Outlet (ADDO) programme in support of dispensaries in under-served rural and peri-urban areas. A core element of this ADDO programme is the dispensary use of an mHealth application for reporting on the drugs they are dispensing and the medical conditions that are being treated. This study canvassed the views of ADDO programme dispensaries using the mHealth reporting system in the Iringa, Mbeya, and Njombe Regions, through a survey questionnaire completed by 318 dispensaries and focus group discussions with 38 dispensary personnel. The data revealed that four factors—system quality, information quality, service quality, and price value—are all having a statistically significant impact on dispensaries’ perceptions of the potential benefits of using the mHealth system.

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MESUDD: towards a multi-lingua expert system for rural m-healthcare

Oladosu

Olamoyegun

2012

IJEH

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A good number of applications and hardware devices for healthcare services have been produced through research efforts. A key limitation of the existing systems that are implemented for mobile devices, however, is that they have not adequately addressed language barrier, deplorable access to medical practitioners, cost constraints among other challenges peculiar to rural communities in developing and underdeveloped countries. This paper presents one of the solutions developed in our research efforts at addressing some of the aforementioned limitations of the existing systems. The work produced a novel mobile software tool that addresses the provisioning of real-time language translation for illiterate indigenous patients to interact with a medical expert system via a small mobile computing device for diagnoses and drug prescription where there is no doctor. Usability assessment of the tool was conducted by engaging physicians, paramedics and patients. The result of that assessment is presented.

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Operational and customer relationship management considerations of electronic prescribing among pharmacists

Cited by 7 publications

References 21 publications

A Systematic Review of the Technology Acceptance Model in Health Informatics

A Systematic Review of the Technology Acceptance Model in Health Informatics

Factors Impacting Tanzanian Rural and Peri-urban Drug Dispensaries' Perceived Benefits from Using an mHealth Reporting System

MESUDD: towards a multi-lingua expert system for rural m-healthcare

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