Improving Quality of Medical Service with Mobile Health Software

Pereira, Ana; Marins, Fernando Augusto Silva; Rodrigues, Bruno Póvoa; Portela, Filipe; Santos, Manuel Filipe; Machado, José; Rua, Fernando; Silva, Álvaro; Abelha, António

doi:10.1016/j.procs.2015.08.346

Cited by 17 publications

(14 citation statements)

References 23 publications

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“…It indicates that the medical service that is delivered by mobile Internet is gradually known and accepted by the Chinese older generation and has great potential for development in the future. With the penetration of mobile Internet in rural areas of China, mobile information technology empowers the medical industry, which may be able to effectively solve the contradictions and problems in the medical field [2], and then improve the medical service level of the whole country. For instance, Alihealth realized cross-regional sharing and allocation of existing social medical and health resources.…”

Section: Int J Environ Res Public Health 2020 17 X 2 Of 29mentioning

confidence: 99%

“…The practice of using mobile technology infrastructure in medical care, especially 5G and smartphone, is termed as Mobile Medical [3,4]. Mobile Medical can improve the quality, safety and efficiency in current healthcare, and provides several new medical services with ubiquitous and mobile devices [2]. Additionally, it has greatly improved the convenience of patients' medical treatment and drug purchases to meet consumers' pursuit of a healthy lifestyle.…”

Section: Int J Environ Res Public Health 2020 17 X 2 Of 29mentioning

confidence: 99%

“…Additionally, it has greatly improved the convenience of patients' medical treatment and drug purchases to meet consumers' pursuit of a healthy lifestyle. The mobile devices include smartphones, tablets, PDA and laptop computers in common, which are installed Android, Apple or Windows With the penetration of mobile Internet in rural areas of China, mobile information technology empowers the medical industry, which may be able to effectively solve the contradictions and problems in the medical field [2], and then improve the medical service level of the whole country. For instance, Alihealth realized cross-regional sharing and allocation of existing social medical and health resources.…”

Section: Int J Environ Res Public Health 2020 17 X 2 Of 29mentioning

confidence: 99%

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Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

Zhang

Ding

2020

IJERPH

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The mobile medical application (M-medical APP) can optimize medical service process and reduce health management costs for users, which has become an important complementary form of traditional medical services. To assist users including patients choose the ideal M-medical APP, we proposed a novel multiple attribute group decision making algorithm based on group compromise framework, which need not determine the weight of decision-maker. The algorithm utilized an uncertain multiplicative linguistic variable to measure the individual original preference to express the real evaluation information as much as possible. The attribute weight was calculated by maximizing the differences among alternatives. It determined the individual alternatives ranking according to the net flow of each alternative. By solved the 0–1 optimal model with the objective of minimizing the differences between individual ranking, the ultimate group compromise ranking was obtained. Then we took 10 well-known M-medical APPs in Chinese as an example, we summarized service categories provided for users and constructed the assessment system consisting of 8 indexes considering the service quality users are concerned with. Finally, the effectiveness and superiority of the proposed method and the consistency of ranking results were verified, through comparing the group ranking results of 3 similar algorithms. The experiments show that group compromise ranking is sensitive to attribute weight.

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Section: Int J Environ Res Public Health 2020 17 X 2 Of 29mentioning

confidence: 99%

Section: Int J Environ Res Public Health 2020 17 X 2 Of 29mentioning

confidence: 99%

Section: Int J Environ Res Public Health 2020 17 X 2 Of 29mentioning

confidence: 99%

See 1 more Smart Citation

Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

Zhang

Ding

2020

IJERPH

View full text Add to dashboard Cite

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“…More specific benefits are: monitoring efficiently patients attributes and environment [1], reducing admissions and readmissions [21], and cutting the cost of care by patients spending more time out of hospitals [9]. Some mHealth solutions that have improved efficiency and quality are applications for consulting information of a patient [22], booking appointments, renewing prescriptions and consulting with healthcare providers [15].…”

Section: Introductionmentioning

confidence: 99%

An Improved Model for GUI Design of mHealth Context-Aware Applications

Quinde

Khan

2018

Design, User Experience, and Usability: Designing Interactions

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Abstract. One of the main challenges of mobile health is using the smaller screens of mobile devices efficiently to show information supporting the health decision-making process. This research proposes a model that can be used to design and evaluate GUIs of mHealth context-aware applications with the aim of ensuring a proper distribution of key information among the screens. The proposed model is then evaluated based on the Health-ITUEM usability parameters description. The results of this evaluation show the attributes related to usability that have been enhanced.

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“…Health systems quality of diagnosis and quality of patients' treatment are also improved when PHRs are exchanged [17]. A sub-segment of eHealth systems is mHealth (mobile Health), where health interventions through mobile devices used in medicine and public health are implemented [3,19]. mHealth was defined by the Global Observatory for eHealth, and referred in the 2011 World Health Organisation report, as "medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants (PDAs), and other wireless devices" [12].…”

Section: Introductionmentioning

confidence: 99%

Smart Mobile Computing in Pregnancy Care

Fonseca

Peixoto

Braga³

et al.

EPiC Series in Computing

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Pregnancy is a period of changes. With all the information available and all the questions raised, it may also be an overwhelming period. Mobiles phones might be a solution for pregnant women to follow their pregnancy through Electronic Maternity Records (EMR). Therefore, this paper aims to propose an EMR to help women during their pregnancy. Firstly, the importance of Personal Health Records (PHRs) as well as mHealth is overviewed. Secondly, the types of mobile apps are presented with their pros and cons and the concept of Progressive Web App (PWA) is introduced. In order to understand the features that pregnancy mobile apps are now offering and the ones they are missing, eight apps are analysed. Lastly, the features and architecture of the proposed EMR are described and discussed. Since PWAs are a recent technology and a promising alternative to the three classic types of mobile development, it is also the technology used to develop the proposed EMR.

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Improving Quality of Medical Service with Mobile Health Software

Cited by 17 publications

References 23 publications

Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

An Improved Model for GUI Design of mHealth Context-Aware Applications

Smart Mobile Computing in Pregnancy Care

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