Design and evaluation of a prototype of augmented reality applied to medical devices

Escalada-Hernández, Paula; Soto‐Ruiz, Nelia; Martín-Rodríguez, Leticia San

doi:10.1016/j.ijmedinf.2019.05.004

Cited by 27 publications

(15 citation statements)

References 15 publications

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“…SPSS23.0 software was used for data processing, and count data was expressed as percentage (%), k is the number of data in this experiment, σ 2 is the variance of all survey results, and P < 0.05 indicates that the difference is statistically significant. e formula for calculating reliability is shown in equation (16).…”

Section: Statistical Data Processingmentioning

confidence: 99%

Diagnosis of Chronic Kidney Disease by Three-Dimensional Contrast-Enhanced Ultrasound Combined with Augmented Reality Medical Technology

Zhuang

Sun

Liu

2021

Journal of Healthcare Engineering

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Chronic kidney disease is a worldwide clinical and public health problem. As a risk factor for cardiovascular and cerebrovascular diseases, the disease has gradually become one of the causes of morbidity and death. As a routine method of screening for kidney disease, ultrasound is very important in improving the rate of early detection and accuracy of chronic kidney disease. This article explores the value of applying 3D ultrasound in conjunction with augmented reality medical technology in chronic kidney disease, observing changes in kidney tumor at different stages with percutaneous 3D ultrasound in patients with chronic kidney disease. Volunteers with chronic kidney disease were selected for this experiment. Among them, 160 males and 140 females were diagnosed as chronic kidney disease by clinical or renal pathological biopsy, and they all met the K/DOQI diagnostic criteria for chronic kidney disease. The selected subjects met the criteria and were divided into 5 groups, each with 60 patients, to explore the correlation of properties such as three-dimensional ultrasound kidney volume in different stages of chronic kidney disease. Experiments have shown that, with the increase in the stages of chronic kidney disease, the elasticity and volume of the renal parenchyma decrease, and the resistance index of the renal artery becomes larger, P < 0.05 ; the difference is statistically significant, indicating that the elasticity of the renal parenchyma is associated with chronic kidney disease. The stage is negatively correlated, and the resistance index of the renal artery is positively correlated with the stage of chronic kidney disease. That is, as the stage of chronic kidney disease increases, the three-dimensional volume of the kidney shows a decreasing trend and the resistance index of the renal artery shows an increasing trend. Speed shows a declining trend and there is some correlation between the three.

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Section: Statistical Data Processingmentioning

confidence: 99%

Diagnosis of Chronic Kidney Disease by Three-Dimensional Contrast-Enhanced Ultrasound Combined with Augmented Reality Medical Technology

Zhuang

Sun

Liu

2021

Journal of Healthcare Engineering

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“…Poor motivation and expectation . Contrary to the results shown by (Regmi & Jones, 2020 ) in terms of e-learning, the use of other technology enhanced learning (TEL) in the health sciences field has proven to enrich and facilitate the transmission of didactic content, favoring medical training and motivating the students for example by using virtual or augmented reality (Escalada-Hernández et al, 2019 ; González Izard et al, 2020 ; Izard et al, 2018 ). However, when using robotic technology, the users’ attitudes towards robots is a major concern, as robotic appearance and behavior influences and hinders their acceptance, especially when these robots resemble human beings (Müller et al, 2020 ; Savela et al, 2018 ).…”

Section: Discussionmentioning

confidence: 95%

More than surgical tools: a systematic review of robots as didactic tools for the education of professionals in health sciences

Marcos-Pablos

García‐Peñalvo

2022

Adv in Health Sci Educ

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Within the field of robots in medical education, most of the work done during the last years has focused on surgeon training in robotic surgery, practicing surgery procedures through simulators. Apart from surgical education, robots have also been widely employed in assistive and rehabilitation procedures, where education has traditionally focused in the patient. Therefore, there has been extensive review bibliography in the field of medical robotics focused on surgical and rehabilitation and assistive robots, but there is a lack of survey papers that explore the potential of robotics in the education of healthcare students and professionals beyond their training in the use of the robotic system. The scope of the current review are works in which robots are used as didactic tools for the education of professionals in health sciences, investigating the enablers and barriers that affect the use of robots as learning facilitators. Systematic literature searches were conducted in WOS and Scopus, yielding a total of 3812 candidate papers. After removing duplicates, inclusion criteria were defined and applied, resulting in 171 papers. An in-depth quality assessment was then performed leading to 26 papers for qualitative synthesis. Results show that robots in health sciences education are still developed with a roboticist mindset, without clearly incorporating aspects of the teaching/learning process. However, they have proven potential to be used in health sciences as they allow to parameterize procedures, autonomously guide learners to achieve greater engagement, or enable collective learning including patients and instructors "in the loop". Although there exist documented added-value benefits, further research and efforts needs to be done to foster the inclusion of robots as didactic tools in the curricula of health sciences professionals. On the one hand, by analyzing how robotic technology should be developed to become more flexible and usable to support both teaching and learning processes in health sciences education, as final users are not necessarily well-versed in how to use it. On the other, there continues to be a need to develop effective and standard robotic enhanced learning evaluation tools, as well good quality studies that describe effective evaluation of robotic enhanced education for professionals in health sciences. As happens with other technologies when applied to the health sciences field, studies often fail to provide sufficient detail to support transferability or direct future robotic health care education programs.

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“…In terms of usability, most of the problems were related to the user interface design or users' misunderstandings of the terms used in the interface. Although, in many similar studies, the think-aloud method has not been used to evaluate the system prototype [ 23 , 28 , 35 , 40 ], we used this method to solve the usability issues and improve user satisfaction and system acceptance [ 59 – 61 ]. The think-aloud method is a reliable subjective measure of user experience.…”

Section: Discussionmentioning

confidence: 99%

A Clinical Data Management System for Diabetes Clinical Trials

Nourani

Ayatollahi

Solaymani‐Dodaran

2022

Journal of Healthcare Engineering

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Background. The use of novel medications and methods to prevent, diagnose, treat, and manage diabetes requires confirmation of safety and efficacy in a well-designed study prior to widespread adoption. Diabetes clinical trials are the studies that examine these issues. The aim of the present study was to develop a web-based system for data management in diabetes clinical trials. Methods. The present research was a mixed-methods study conducted in 2019. To identify the required data elements and functions to develop the system, 60 researchers completed a questionnaire. The designed system was evaluated using two methods. The usability of the system was initially evaluated by a group of researchers (n = 6) using the think-aloud method, and after system improvement, the system functions were evaluated by other researchers (n = 30) using a questionnaire. Results. The main data elements which were required to develop a case report form included “study data,” “participant’s personal data,” and “clinical data.” The functional requirements of the system were “managing the study,” “creating case report forms,” “data management,” “data quality control,” and “data security and confidentiality.” After using the system, researchers rated the system functions at a “good” level (6.3 ± 0.73) on a seven-point Likert scale. Conclusion. Given the complexity of the data management processes in diabetes clinical trials and the widespread use of information technologies in research, the use of clinical data management systems in diabetes clinical trials seems inevitable. The system developed in the current study can facilitate and improve the process of creating and managing case report forms as well as collecting data in diabetes clinical trials.

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Design and evaluation of a prototype of augmented reality applied to medical devices

Cited by 27 publications

References 15 publications

Diagnosis of Chronic Kidney Disease by Three-Dimensional Contrast-Enhanced Ultrasound Combined with Augmented Reality Medical Technology

Diagnosis of Chronic Kidney Disease by Three-Dimensional Contrast-Enhanced Ultrasound Combined with Augmented Reality Medical Technology

More than surgical tools: a systematic review of robots as didactic tools for the education of professionals in health sciences

A Clinical Data Management System for Diabetes Clinical Trials

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