Artificial Intelligence Contribution to eHealth Application

Cabestany, Joan; Rodríguez-Martín, Daniel; Pérez, Carlos González; Samà, Albert

doi:10.23919/mixdes.2018.8436743

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…The proper management, interpretation and use of the data about the user or patient and their condition generated by the novel person-centered service model pose one of the major challenges in the relationship between eHealth and IoT. The techniques and ML methodologies finding application in healthcare depend on both the data and the IoT infrastructure under consideration (Cabestany et al, 2018). Below, we offer a succinct description of the most common AI branches with eHealth applications.…”

Section: Ai For the Healthcare Industrymentioning

confidence: 99%

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To be or not to be digital? A bibliometric analysis of adoption of eHealth services

Cobelli

Blasioli

2023

TQM

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PurposeThe purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.Design/methodology/approachThis work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.FindingsAlthough UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.Originality/valueTo the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

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Section: Ai For the Healthcare Industrymentioning

confidence: 99%

“…Access to recommendations and automated treatments, as well as personalized medicine, are two eHealth areas that could greatly benefit from the introduction of AI approaches (Cabestany et al. , 2018).…”

Section: Introductionmentioning

confidence: 99%

To be or not to be digital? A bibliometric analysis of adoption of eHealth services

Cobelli

Blasioli

2023

TQM

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“…Many telemedicine firms are observing a spike in the consequences of the COVID19 pandemic. India individually shares 41% of response in teleservices by the year 2018, which has enlarged appreciably in the year 2020 (Cabestany et al, 2018;Secinaro et al, 2021). Numerous factors contribute to the enlargement of the market them as rising chronic respiratory diseases (Chebrolu et al, 2020).…”

Section: Significance Of Ai In E-healthmentioning

confidence: 99%

Artificial Intelligence in e-Health: A Review of Current Status in Healthcare and Future Possible Scope of Research

Katiyar¹,

Farhana²

2022

Journal of Computer Science

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Artificial Intelligence (AI) has been emerging promptly currently due to software algorithms, hardware employment, and applications in many sectors. The Healthcare sector is drawing the attention of healthcare professionals and researchers from a multidisciplinary viewpoint like administration, business, finance, record keeping, decision making, and services. Extensive usage of electronic health records gives rise to an immense quantity of clinical data. For patient welfare, disease diagnosis is vital for appropriate treatment but human inaccuracy may obstruct precise diagnosis because of complex medical information. The usage of information and communication technologies together evolved e-health. Integration of artificial intelligence in e-health smoothens the various challenges faced by healthcare systems. In this review, the authors have attempted to summarize the applications of artificial intelligence in various fields of e-health: Improving electronic health records, disease diagnosis and decision making, remote patient monitoring, and telehealth. Healthcare experts can understand how well AI works and supports in refining task execution with increased efficiency, minimizing the pressure of workload, and optimizing resources, best example has been observed in the pandemic COVID-19 scenario. More work and innovations will be endured by researchers with encouragement to thrust the boundary and it will broaden the latitude of healthcare sectors as well as AI algorithms.

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“…Although the effects of the social media intervention in this study almost meet the above three dimensions for the patients with CAD, it does have room for improvement. In view of the rise of artificial intelligence (AI) in healthcare applications, AI is changing the way how healthcare is delivered, especially in personalized medicine and access to recommendations and automated treatments [33]. With the incorporation of AI and e-health, more novel patient-centered interventions other than social media application may be developed to provide more comprehensive and cost-and time-efficient accesses to satisfy the patient's need.…”

Section: Prospects Of E-health In Holisticmentioning

confidence: 99%

Role of an e-Health Intervention in Holistic Healthcare: A Quasiexperiment in Patients Undergoing Cardiac Catheterization in Taiwan

Peng

Lin

et al. 2021

Journal of Healthcare Engineering

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Background. The use of electronic health (e-health) resources is emerging as an alternative method to improve the secondary prevention of coronary artery disease (CAD). The aim of this study was to describe the influence of an e-health application in holistic healthcare for patients with CAD. Methods. A quasiexperiment with nonequivalent groups design recruited outpatients with a high risk of CAD admitted for cardiac catheterization. They were divided into two groups. Before the procedure, the control group received traditional patient education, and the intervention group watched videos on Internet-based social media. EQ-5D and FACIT–Sp-12 questionnaires were used as outcome measures of interest, and they were administered before and after the procedure and at the first return visit to the outpatient clinic after discharge. The effect of each intervention was tested using a linear mixed effects model. In addition, the 90-day readmission rate was also studied. Results. A total of 300 patients were divided into intervention and control groups (150 patients in each group). The interaction effect of EQ-5D was not statistically significant; however, improvements in FACIT–Sp-12 were greater in the intervention group from baseline to before discharge (regression coefficient (B) = 1.70, p < 0.001 ) and from baseline to postdischarge first outpatient visit (B = 1.81, p < 0.001 ). Moreover, the 90-day readmission rate was significantly lower in the intervention group (14% vs. 18.7%; p = 0.016 , log-rank test). Conclusions. e-health intervention with easily accessible Internet-based social media is a promising model to meet the holistic needs of patients with CAD in the modern era.

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Artificial Intelligence Contribution to eHealth Application

Cited by 10 publications

References 8 publications

To be or not to be digital? A bibliometric analysis of adoption of eHealth services

To be or not to be digital? A bibliometric analysis of adoption of eHealth services

Artificial Intelligence in e-Health: A Review of Current Status in Healthcare and Future Possible Scope of Research

Role of an e-Health Intervention in Holistic Healthcare: A Quasiexperiment in Patients Undergoing Cardiac Catheterization in Taiwan

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