Assessing factors militating against the acceptance and successful implementation of a cloud based health center from the healthcare professionals’ perspective: a survey of hospitals in Benue state, northcentral Nigeria

Idoga, Patience E.; Toycan, Mehmet; Nadiri, Halil; Çelebi, Erbuğ

doi:10.1186/s12911-019-0751-x

Cited by 34 publications

(34 citation statements)

References 58 publications

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“…In this study, facilitating condition played an important role in predicting health care providers intention to use EMRs (β = 0.23, p < 0.001). This is in line with a study conducted in North Central Nigeria (β = 0.11, p < 0.05) [44],South Africa (β = 0.28, p < 0.05) [45],Malaysia (β = 0.16,p < 0.05) [46] and Ontario Canada (β = .11, p < .01) [32]. It could be due to the fact that health care providers believe that the resources and technical support should be available to use the EMR in their workplace [43].…”

Section: Discussionsupporting

confidence: 92%

Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model

Ahmed¹,

Bogale

Tilahun

et al. 2020

BMC Med Inform Decis Mak

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Background: Electronic Medical Records (EMRs) are systems to store patient information like medical histories, test results, and medications electronically. It helps to give quality service by improving data handling and communication in healthcare setting. EMR implementation in developing countries is increasing exponentially. But, only few of them are successfully implemented. Intention to use EMRs by health care provider is crucial for successful implementation and adoption of EMRs. However, intention of health care providers to use EMR in Ethiopia is unknown. Objective: The aim of this study was to assess health care provider's intention to use and its predictors towards Electronic Medical Record systems at three referral hospitals in northwest , Ethiopia, 2019. Methods: Institutional based cross-sectional explanatory study design was conducted from March to September among 420 health care providers working at three referral hospitals in northwest Ethiopia. Data were analyzed using structural equation model (SEM). Simple and multiple SEM were used to assess the determinants of health care providers intention to use EMRs. Critical ratio and standardized coefficients were used to measure the association of dependent and independent variables, 95% confidence intervals and P-value were calculated to evaluate statistical significance. Qualitative data was analyzed using thematic analysis.

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Section: Discussionsupporting

confidence: 92%

Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model

Ahmed¹,

Bogale

Tilahun

et al. 2020

BMC Med Inform Decis Mak

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“…39 Our findings were consistent with those of prior studies concerning the technological adoptions in health care. 22,39 A study conducted to identify predictors of the intention of healthcare professionals to use a new cloud base health platform (CBHP) technology found FC as a significant factor related to intention to accept and use CBHP. 39 Asua et al 22 identified FC to be the most powerful predictor of medical professionals' intention to use a telemonitoring system.…”

Section: Discussionsupporting

confidence: 92%

“…22,39 A study conducted to identify predictors of the intention of healthcare professionals to use a new cloud base health platform (CBHP) technology found FC as a significant factor related to intention to accept and use CBHP. 39 Asua et al 22 identified FC to be the most powerful predictor of medical professionals' intention to use a telemonitoring system. Therefore, it was concluded that participants are more likely to consider telehealth to be a helpful system if they believe that it has a vigorous infrastructure to support the use of telehealth.…”

Section: Discussionmentioning

confidence: 99%

Application of the unified theory of acceptance and use of technology model to predict dental students’ behavioral intention to use teledentistry

Alabdullah

Lunen

Claiborne

et al. 2020

Journal of Dental Education

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Teledentistry is an innovative technology that can be used to improve access to care and oral health outcomes. Dental students' intention to use teledentistry after completing dental school has not been investigated. Purpose: The unified theory of acceptance and use of technology (UTAUT) was used to predict intentions to use teledentistry among 4th-year U.S. dental students. Methods: A cross-sectional approach was performed for a 7-week period in Spring 2019. All U.S. dental schools (N = 66) were invited to participate and 16 schools agreed to participate. An anonymous survey link was emailed to academic deans for dissemination to students. A total of 1416 4th-year dental students received the anonymous survey link and 210 students completed the survey (response rate = 14.8%). The survey included questions and scales that measured the UTAUT constructs of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), and behavioral intentions (BI). Data were analyzed using SPSS version 24. The study was deemed exempt by institutional review board. Results: The dental students' BI to use teledentistry was significantly predicted by PE (R 2 = 33%, P < 0.01), EE (R 2 = 24%, P < 0.01), SI (R 2 = 24%, P < 0.01), and FC (R 2 = 14%, P < 0.01). The UTAUT model was statistically significant in predicting the BI and explained 40% of BI variance (R 2 = .40, P < 0.01). Conclusions: Dental students' perceptions about PE, EE, SI, and FC were associated with BI. Therefore, exposure to teledentistry while in dental school could increase the likelihood of use as a practicing provider.

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“…When the external users try to enter the Cloud computing network, so, first they undergo through the vital barrier of firewall that provides networks security and allow only those users who are compliant and give safety from different attacks such as HTTP DoS (Denial of service) or brute force attack. [30,31].…”

Section: Related Workmentioning

confidence: 99%

Enhancing the Quality of Service of Cloud Computing in Big Data using Virtual Private Network and Firewall in Dense Mode

Shah¹,

Din²,

Abizar³

et al. 2020

IJACSA

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Cloud Computing entails accessing and storing programs and data over the internet instead of the hard drive of a personal computer. Over the Internet, it is the practice of software and hardware to pass a service. Cloud gives the ability to consumers to access big data and use applications from every device that can have access to the internet, however, the key problem is security and this can be solvable by a firewall and Virtual Private Network. Recently, research has been accomplished in deploying firewalls and Virtual Private Networks with parameters of throughput and load in sparse mode. In this paper, an examination of firewall and Virtual Private Network is considered based on average throughput, average packet loss and average end-to-end delay in dense mode. To examine the performance of cloud computing without Firewall and Virtual Private Network, with firewall only, and with firewall and Virtual Private Network is the research goal. The simulation results have shown that Firewall and Virtual Private Network offers better security through a wide investigation with slight distress in the cloud performance.

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Assessing factors militating against the acceptance and successful implementation of a cloud based health center from the healthcare professionals’ perspective: a survey of hospitals in Benue state, northcentral Nigeria

Cited by 34 publications

References 58 publications

Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model

Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model

Application of the unified theory of acceptance and use of technology model to predict dental students’ behavioral intention to use teledentistry

Enhancing the Quality of Service of Cloud Computing in Big Data using Virtual Private Network and Firewall in Dense Mode

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