SERIES: eHealth in primary care. Part 3: eHealth education in primary care

Houwink, Elisa J. F.; Kasteleyn, Marise J.; Alpay, Laurence; Pearce, Christopher; Butler-Henderson, Kerryn; Meijer, Eline; Kampen, Sanne van; Versluis, Anke; Bonten, Tobias N; Dalfsen, Jens H. van; Peet, Petra G. van; Koster, Ybranda; Hierck, Beerend P.; Jeeninga, Ilke; Luenen, Sanne van; Kleij, Rianne van der; Chavannes, Niels H.; Kramer, Anneke

doi:10.1080/13814788.2020.1797675

Cited by 23 publications

(15 citation statements)

References 46 publications

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“…AI is applied to different contexts, so we can see applications to architecture in smart buildings and smart cities [6], smart mobility [9], medicine [10][11][12], smart industry (the 4th industrial revolution, as some authors [13] remark) and also smart education or smart classrooms [14].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence for Student Assessment: A Systematic Review

2021

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Artificial Intelligence (AI) is being implemented in more and more fields, including education. The main uses of AI in education are related to tutoring and assessment. This paper analyzes the use of AI for student assessment based on a systematic review. For this purpose, a search was carried out in two databases: Scopus and Web of Science. A total of 454 papers were found and, after analyzing them according to the PRISMA Statement, a total of 22 papers were selected. It is clear from the studies analyzed that, in most of them, the pedagogy underlying the educational action is not reflected. Similarly, formative evaluation seems to be the main use of AI. Another of the main functionalities of AI in assessment is for the automatic grading of students. Several studies analyze the differences between the use of AI and its non-use. We discuss the results and conclude the need for teacher training and further research to understand the possibilities of AI in educational assessment, mainly in other educational levels than higher education. Moreover, it is necessary to increase the wealth of research which focuses on educational aspects more than technical development around AI.

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Section: Introductionmentioning

confidence: 99%

Artificial Intelligence for Student Assessment: A Systematic Review

2021

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“…If using an eHealth application is too disruptive to regular GP routines or if it leads to higher costs, job insecurity or loss of revenue, GPs will understandably perceive this as a barrier to using the application [ 19 ]. Moreover, the level of proficiency in the use of information technologies might also affect the use of eHealth [ 8 ]. Applications that mainly provide information to patients, such as Thuisarts.nl , are the least ‘threatening’ for GPs, offer multiple ways to support their care processes and understandably are also popular with GPs.…”

Section: Discussionmentioning

confidence: 99%

“…24/7 telemonitoring of patients with diabetes rather than seeing them on a quarterly basis. The lessons learned from the first four papers in the eHealth series are relevant and important to all applications, especially in the case of more complex applications [1,[7][8][9]. Furthermore, patient factors are related to the complexity of applications and need to be considered.…”

Section: Aspects Concerning the Complexity Of Ehealth Applicationsmentioning

confidence: 99%

“…In the first four articles of this series on eHealth, we addressed issues related to the successful uptake and use of eHealth in primary care [1,[7][8][9]]. These issues were described from various perspectives ranging from ethical aspects to education and implementation, including the six preconditions that we view as pivotal to ensure safe, evidence-based and high-quality eHealth (Box 1).…”

Section: Introduction Ehealth In Primary Carementioning

confidence: 99%

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SERIES: eHealth in primary care. Part 5: A critical appraisal of five widely used eHealth applications for primary care – opportunities and challenges

Kasteleyn

Versluis

Peet

et al. 2021

European Journal of General Practice

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Background Given the pressure on modern healthcare systems, eHealth can offer valuable opportunities. However, understanding the potential and challenges of eHealth in daily practice can be challenging for many general practitioners (GPs) and their staff. Objectives To critically appraise five widely used eHealth applications, in relation to safe, evidence-based and high-quality eHealth. Using these applications as examples, we aim to increase understanding of eHealth among GPs and highlight the opportunities and challenges presented by eHealth. Discussion eHealth applications can support patients while increasing efficiency for GPs. A three-way division ( inform, monitor, track; interaction; data utilisation ) characterises many eHealth applications, with an increasing degree of complexity depending on the domain. All applications provide information and some have extra functionalities that promote interaction, while data analysis and artificial intelligence may be applied to support or (fully) automate care processes. Applications in the inform domain are relatively easy to use and implement but their impact on clinical outcomes may be limited. More demanding applications, in terms of privacy and ethical aspects, are found in the data utilisation domain and may potentially have a more significant impact on care processes and patient outcomes. When selecting and implementing eHealth applications, we recommend that GPs remain critical regarding preconditions on safe, evidence-based and high-quality eHealth, particularly in the case of more complex applications in the data utilisation domain.

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“…Also, a different skill set to cope with changes in patient–provider or provider–provider relationships is required. To this extent, we recently published a guide on how to incorporate eHealth education in primary care training ( 21 ).…”

Section: Harvesting the Potential Of Dhtsmentioning

confidence: 99%