Acceptance of a smartphone navigation application by hospital patients and visitors: the role of gender, age, and education

Ženka, Jan; Macháček, Jan; Krtička, Luděk; Michna, Pavel; Kořízek, Pavel

doi:10.15201/hungeobull.70.2.4

Cited by 4 publications

(3 citation statements)

References 44 publications

(60 reference statements)

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“…In response to the issue of inexperienced access for young people, we suggest that an introduction to the visit process can be provided on the appointment software to help young people understand the visiting process in the hospital and the location of each department. On the other hand, the hospital can set some striking signals or electronic navigation, which facilitates patients to find destinations quickly 41 .…”

Section: Discussionmentioning

confidence: 99%

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology

Deng

Fan

Gao

et al. 2023

Sci Rep

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How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve the patient experience are problems faced by all hospitals. At present, the combination of artificial intelligence and the medical field is mainly in the field of disease diagnosis, but lacks successful application in medical management. We distinguish each area of the emergency department by the division of medical links. In the spatial dimension, in this study, the waitlist number in real-time is got by processing videos using image recognition via a convolutional neural network. The congestion rate based on psychology and architecture is defined for measuring crowdedness. In the time dimension, diagnosis time and time-consuming after diagnosis are calculated from visit records. Factors related to congestion are analyzed. A total of 4717 visit records from the emergency department and 1130 videos from five areas are collected in the study. Of these, the waiting list of the pediatric waiting area is the largest, including 10,436 (person-time) people, and its average congestion rate is 2.75, which is the highest in all areas. The utilization rate of pharmacy is low, with an average of only 3.8 people using it at the one time. Its average congestion rate is only 0.16, and there is obvious space waste. It has been found that the length of diagnosis time and the length of time after diagnosis are related to age, the number of diagnoses and disease type. The most common disease type comes from respiratory problems, accounting for 54.3%. This emergency department has congestion and waste of medical resources. People can use artificial intelligence to investigate the congestion in hospitals effectively. Using artificial intelligence methods and traditional statistics methods can lead to better research on healthcare resource allocation issues in hospitals.

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Section: Discussionmentioning

confidence: 99%

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology

Deng

Fan

Gao

et al. 2023

Sci Rep

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show abstract

“…In sum, the current results may be of interest on both theoretical and practical levels. At the theoretical level, they allow the application of classical models, such as UTAUT, to the adoption of this type of device [31], while at the practical level, they can promote the independence of the individual. The discovery of the detrimental effects of GNSSs on the human brain makes timelier than ever the construction of a unified framework for navigation tested in an interdisciplinary way.…”

Section: Discussionmentioning

confidence: 99%

Testing a Model of Human Spatial Navigation Attitudes towards Global Navigation Satellite Systems

Moret-Tatay

Boccia

Teghil

et al. 2022

Sensors

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Global navigation satellite systems (GNSS) can provide better data quality for different purposes; however, some age groups might lie outside its use. Understanding the barriers to its adoption is of interest in different fields. This work aims at developing a measurement instrument of the adoption attitudes towards this technology and examining the relationship of variables such as age and gender. A UTAUT model was tested on 350 participants. The main results can be summarised as follows: (i) the proposed GNSS scale on human spatial navigation attitudes towards geopositioning technology showed optimal psychometric properties; (ii) although statistically significant differences were found in the Wayfinding Questionnaire (WQ) between men and women, these did not reach the level of statistical significance for the scores on attitudes towards GNSS; (iii) by testing a model on human spatial navigation attitudes towards geopositioning technology, it was possible to show a higher relationship with age in women.

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“…In order to cope with the sequential nature of the medical treatment process, the spatial logical order of the public space of the hospital has been formed, and different spaces have been set up in different levels. Hospital public space is divided into a public center system, a public subsystem, and a connection system connecting the two according to the medical treatment process from high to low [9,10]. As shown in Figure 1, the logical order is arranged according to the relationship of reason, which conforms to the law of people's understanding of things.…”

Section: Main Characteristics Of Hospital Users' Pathfinding Behaviormentioning

confidence: 99%

Research on Evaluation Method of Wayfinding Signs in Medical Institutions Based on Mobile Network Intelligent Navigation

Deng

Romainoor

2022

Scientific Programming

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With the rapid development of our country’s economy, there has been a phenomenon of population concentration and centralization of medical institutions. At the same time, with the continuous development and improvement of medical disciplines, large-scale general hospitals have become more comprehensive and larger in area. Therefore, hospital users often get lost in the public space of the hospital. Therefore, the purpose of this article is to study the evaluation method of wayfinding signs in medical institutions based on mobile network intelligent navigation. This article first analyzes the research status of navigation signs in medical institutions and then introduces the current wayfinding behaviors of large general hospitals, and analyzes the problems and deficiencies in them. On this basis, the intelligent navigation is researched and designed. This article systematically expounds the main characteristics of hospital users’ pathfinding behavior, the spatial order of the process, and the hierarchy of pathfinding behavior, and uses questionnaire survey, field survey, and other research forms to carry out experimental research on the theme of this article. Studies have shown that the hospital’s public organization space model will directly affect the efficiency of people seeking medical care.

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Acceptance of a smartphone navigation application by hospital patients and visitors: the role of gender, age, and education

Cited by 4 publications

References 44 publications

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology

Testing a Model of Human Spatial Navigation Attitudes towards Global Navigation Satellite Systems

Research on Evaluation Method of Wayfinding Signs in Medical Institutions Based on Mobile Network Intelligent Navigation

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