Smart City and Smart-Health Framework, Challenges and Opportunities

Al-Azzam, Majed Kamel Ali; Alazzam, Malik Bader

doi:10.14569/ijacsa.2019.0100223

Cited by 35 publications

(27 citation statements)

References 24 publications

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“…It is now possible for individuals and healthcare providers to transmit text messages and pictures containing important health data to medical institutions and experts in remote areas, who can subsequently reply with professional advice through the same methods. Due to the ease and portability of mobile phones, medical advice may be sent while the patient is still at their home or at the site of an accident, saving time and money on transportation [ 11 ]. Basic mobile phones, features phones, and, of obviously, smartphones all have this “any-where” functionality.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Impact of mHealth Apps on the Primary Healthcare Professionals in Patient Care

Al-Azzam

2021

Applied Bionics and Biomechanics

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The goal of this study was to develop and use a questionnaire in order to analyse the effects of eHealth apps on patient care using Jordanian population. A two-stage cross-sectional research was conducted. A questionnaire was developed in the beginning to evaluate its consistency and legitimacy using Cronbach’s alpha coefficient, a multitrait connection atmosphere; the multivariate technique is component examination. In the study’s another phase, correlation and regression are used to determine the influence of eHealth apps on patient care. The five major axes of the final surveys were healthcare efficiency, teaching, notices, consultation, and follow-up. Individuals from diverse demographic aspects, such as gender, age, job experience, and education level, have no differing perspectives on cell phone use in their amenities, according to a staff’s viewpoint evaluation. In general, mobile health applications had a good influence on health services and healthcare, which would be an important setting for the operative use of mobile headphones in public policy; such a background would affect in workers’ intents to practice and adopt mHealth.

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Section: Literature Reviewmentioning

confidence: 99%

Research on the Impact of mHealth Apps on the Primary Healthcare Professionals in Patient Care

Al-Azzam

2021

Applied Bionics and Biomechanics

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“…In addition, the OpenCV library [ 4 ] includes functions that allow finding the hand and face through AdaBoost-type parallel classifiers [ 5 ], which yield excellent results. Other authors use morphological techniques such as skeletonization to identify organs in the human body [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Human‐Computer Interaction Using Manual Hand Gestures in Real Time

Alsaffar

Alshammari

et al. 2021

Computational Intelligence and Neuroscience

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This paper describes the construction of an electronic system that can recognise twelve manual motions made by an interlocutor with one of their hands in a situation with regulated lighting and background in real time. Hand rotations, translations, and scale changes in the camera plane are all supported by the implemented system. The system requires an Analog Devices ADSP BF-533 Ez-Kit Lite evaluation card. As a last stage in the development process, displaying a letter associated with a recognized gesture is advised. However, a visual representation of the suggested algorithm may be found in the visual toolbox of a personal computer. Individuals who are deaf or hard of hearing will communicate with the general population thanks to new technology that connects them to computers. This technology is being used to create new applications.

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“…Mobile technology is growing rapidly [1] [2], prompting more healthcare organisations to consider mobile health technologies to be a feasible solution for monitoring patients' status. This development has formed the possible for converting healthcare system supply into a more available, reasonable, and active form [3][4] [5].…”

Section: Introductionmentioning

confidence: 99%

MHealth for Decision Making Support: A Case Study of EHealth in the Public Sector

Al-Azzam¹,

Alazzam²,

al-Manasra³

2019

IJACSA

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This paper seeks to explore factors that determine the acceptance of the MHealth application patients. The research relied on (UTAUT2) Unified Theory of Acceptance and Use of Technology to assess the level of acceptance of a new mobile health application by patients. The study involved conducting test surveys across medical hospitals in Jordan with the goal of collecting data from hospital visitors and their patients concerning their intention to use the new mobile health application. 98 questionnaires were collected and 44 valid responses drawn from them for onward data analysis. The UTAUT2 research model was the most appropriate one for conducting the evaluation on MHealth's user acceptance. Its results would support the government's goal of building m-health solutions that meet user needs. The model also enhances the roles of DSS in facilitating adoption of MHealth applications. This study provides a theoretical framework for pursuing future research work on the rates of adoption of m-health applications by patients.

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Smart City and Smart-Health Framework, Challenges and Opportunities

Cited by 35 publications

References 24 publications

Research on the Impact of mHealth Apps on the Primary Healthcare Professionals in Patient Care

Research on the Impact of mHealth Apps on the Primary Healthcare Professionals in Patient Care

[Retracted] Human‐Computer Interaction Using Manual Hand Gestures in Real Time

MHealth for Decision Making Support: A Case Study of EHealth in the Public Sector

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