Perceptions of an AI-Supported Mobile App for Military Health in the Canadian Armed Forces

Tam‐Seto, Linna; Wood, Valerie M.; Linden, Brooke; Stuart, Heather

doi:10.1080/21635781.2020.1838364

Cited by 7 publications

(11 citation statements)

References 24 publications

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“…Of the 26 studies, 3 (12%) studies highlighted the advantage of AI being constantly available without restrictions such as physical location, time, and access to a structured treatment [ 24 , 30 , 38 ]; 3 (12%) other studies also mentioned the appreciation of respondents for how an AI system could collect data remotely in a nonintrusive and user-friendly manner [ 23 , 24 , 28 ]. These studies mostly represented the perceptions of consumers and health care providers [ 24 , 30 , 38 ] ( Multimedia Appendix 3 ). Only 4% (1/26) of studies did not mention the population characteristics [ 24 ].…”

Section: Resultsmentioning

confidence: 99%

“…Other concerns were regarding the credibility of AI-based recommendations (eg, whether it was validated by medical professionals) [ 30 , 32 ], maturity in the technology to provide safe and realistic recommendations [ 22 , 25 ], medical liability from the risk of medical errors and bias [ 26 , 35 , 36 , 44 ], secondary effects of AI-based diagnoses such as insurance claims [ 44 ], and miscommunications [ 26 ]. The potential mitigation strategies suggested were the provision of AI-specific regulations [ 30 , 31 , 41 ], transparency in its credibility, how a recommendation is derived (eg, showing who developed the system and the system reasoning and reliability based on information source and personal information), and its accuracy [ 32 , 38 ]. In contrast, 4% (1/26) of studies reported that the respondents were confident that the AI would outperform human clinical diagnoses because of higher accuracy and lower human errors [ 39 ].…”

Section: Resultsmentioning

confidence: 99%

“…Of the 26 studies, 6 (23%) studies discussed the participants’ lack of trust in the maturity of AI technology in providing reliable and accurate information to support health-related predictions and recommendations [ 24 , 26 , 35 , 38 , 40 , 46 ]. This could be related to concerns over the lack of integration and synthesis of information from various sources, standardization of data collection, and the overall sustainability of AI-assisted health care service delivery [ 40 , 45 ].…”

Section: Resultsmentioning

confidence: 99%

“…Of the 26 studies, 6 (23%) studies highlighted the lack of public and clinical awareness on the capabilities of AI in health care, of which the majority of the respondents expressed their willingness to learn [ 26 , 29 , 33 , 35 , 38 , 40 ]. A better understanding of the advantages and disadvantages of AI in health care could enhance the health care service delivery efficiency while balancing the expectations from it.…”

Section: Resultsmentioning

confidence: 99%

“…Age, IT skills, preference for talking to computers, perceived utility, positive attitude, and perceived trustworthiness were found to be associated with AI acceptability [25,26]. Australia and New Zealand [35] 4 (15) Canada [27,[36][37][38] 6 (23) China [22,32,33,39,40] 1 (4) France [41] 2 (8) India [24,42] 1 (4) Korea [48] 1 (4) Saudi Arabia [29] 1 (4) Switzerland [30] 5 (19) United Kingdom [23,26,31,43,44] 1 (4) United Kingdom, Cyprus, Australia, the Netherlands, Sweden, Spain, United States, and Canada [28] 3 (12) United States [25,45,46] Type of publication 24 (92) Journal papers [22][23][24][25][26][27][28][29][31][32][33][34][35][36][37]…”

Section: Stage 5: Collating Summarizing and Reporting Resultsmentioning

confidence: 99%

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Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review

Chew

Achananuparp

2022

J Med Internet Res

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Background Artificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care. Objective This study aims to provide an overview of the perceptions and needs of AI to increase its adoption in health care. Methods A systematic scoping review was conducted according to the 5-stage framework by Arksey and O’Malley. Articles that described the perceptions and needs of AI in health care were searched across nine databases: ACM Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, PsycINFO, PubMed, Scopus, and Web of Science for studies that were published from inception until June 21, 2021. Articles that were not specific to AI, not research studies, and not written in English were omitted. Results Of the 3666 articles retrieved, 26 (0.71%) were eligible and included in this review. The mean age of the participants ranged from 30 to 72.6 years, the proportion of men ranged from 0% to 73.4%, and the sample sizes for primary studies ranged from 11 to 2780. The perceptions and needs of various populations in the use of AI were identified for general, primary, and community health care; chronic diseases self-management and self-diagnosis; mental health; and diagnostic procedures. The use of AI was perceived to be positive because of its availability, ease of use, and potential to improve efficiency and reduce the cost of health care service delivery. However, concerns were raised regarding the lack of trust in data privacy, patient safety, technological maturity, and the possibility of full automation. Suggestions for improving the adoption of AI in health care were highlighted: enhancing personalization and customizability; enhancing empathy and personification of AI-enabled chatbots and avatars; enhancing user experience, design, and interconnectedness with other devices; and educating the public on AI capabilities. Several corresponding mitigation strategies were also identified in this study. Conclusions The perceptions and needs of AI in its use in health care are crucial in improving its adoption by various stakeholders. Future studies and implementations should consider the points highlighted in this study to enhance the acceptability and adoption of AI in health care. This would facilitate an increase in the effectiveness and efficiency of health care service delivery to improve patient outcomes and satisfaction.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Stage 5: Collating Summarizing and Reporting Resultsmentioning

confidence: 99%

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Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review

Chew

Achananuparp

2022

J Med Internet Res

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What Factors Contribute to the Acceptance of Artificial Intelligence on Healthcare Sector: A Systematic Review

Anugerah,

Hidayanto

2023

2023 3rd International Conference on Intelligent Cybernetics Technology &Amp; Applications (ICICyTA)

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Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis

Fazakarley,

Breen,

Thompson

et al. 2024

DIGITAL HEALTH

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Objective Artificial intelligence (AI) is a developing field in the context of healthcare. As this technology continues to be implemented in patient care, there is a growing need to understand the thoughts and experiences of stakeholders in this area to ensure that future AI development and implementation is successful. The aim of this study was to conduct a literature search of qualitative studies exploring the opinions of stakeholders such as clinicians, patients, and technology experts in order to establish the most common themes and ideas that have been presented in this research. Methods A literature search was conducted of existing qualitative research on stakeholder beliefs about the use of AI use in healthcare. Twenty-one papers were selected and analysed resulting in the development of four key themes relating to patient care, patient–doctor relationships, lack of education and resources, and the need for regulations. Results Overall, patients and healthcare workers are open to the use of AI in care and appear positive about potential benefits. However, concerns were raised relating to the lack of empathy in interactions of AI tools, and potential risks that may arise from the data collection needed for AI use and development. Stakeholders in the healthcare, technology, and business sectors all stressed that there was a lack of appropriate education, funding, and guidelines surrounding AI, and these concerns needed to be addressed to ensure future implementation is safe and suitable for patient care. Conclusion Ultimately, the results found in this study highlighted that there was a need for communication between stakeholder in order for these concerns to be addressed, mitigate potential risks, and maximise benefits for patients and clinicians alike. The results also identified a need for further qualitative research in this area to further understand stakeholder experiences as AI use continues to develop.

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Perceptions of an AI-Supported Mobile App for Military Health in the Canadian Armed Forces

Cited by 7 publications

References 24 publications

Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review

Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review

What Factors Contribute to the Acceptance of Artificial Intelligence on Healthcare Sector: A Systematic Review

Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis

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