Leaving patients to their own devices? Smart technology, safety and therapeutic relationships

Ho, Anita; Quick, Oliver

doi:10.1186/s12910-018-0255-8

Cited by 49 publications

(59 citation statements)

References 33 publications

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“…[13][14][15] On the other hand, the work of medical specialties such as telesurgery and those of a juridical and philosophical nature that consider ethical aspects in a significant way are above all. [16][17][18][19][20] Thirteen articles expressly talk about informed consent to health services. Kluge 19 refers in his work to the informed consent inserted in the electronic file and places the patient's consent, in contrast to the medical paternalism still present in some societies ( Japan and China).…”

Section: Informed Consentmentioning

confidence: 99%

“…In most cases, the section was summarized by referring it as being purely ethical in nature and not being elaborated in detail. 16,18,20,28,30,31 The discussion on malpractice can be classified into two segments: (1) telemedicine introduces a new form of malpractice 25,32,33 or (2) there is no difference with the normal malpractice with the patient being present. 15,18 Interpretation is left to the imagination of the end user.…”

Section: Physician's Malpractice and Liabilitymentioning

confidence: 99%

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Telemedicine Practice: Review of the Current Ethical and Legal Challenges

Nittari

Khuman

Baldoni

et al. 2020

Telemedicine and e-Health

307

207

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Background: Telemedicine involves medical practice and information and communications technology. It has been proven to be very effective for remote health care, especially in areas with poor provision of health facilities. However, implementation of these technologies is often hampered by various issues. Among these, ethical and legal concerns are some of the more complex and diverse ones. In this study, an analysis of scientific literature was carried out to identify the ethical and legal challenges of telemedicine. Materials and Methods: English literature, published between 2010 and 2019, was searched on PubMed, Scopus, and Web of Science by using keywords, including ''Telemedicine,'' ''Ethics,'' ''Malpractice,'' ''Telemedicine and Ethics,'' ''Telemedicine and Informed consent,'' and ''telemedicine and malpractice.'' Different types of articles were analyzed, including research articles, review articles, and qualitative studies. The abstracts were evaluated according to the selection criteria, using the Newcastle-Ottawa Scale criteria, and the final analysis led to the inclusion of 22 articles. Discussion: From the aforementioned sample, we analyzed elements that may be indicative of the efficacy of telemedicine in an adequate time frame. Ethical aspects such as informed consent, protection data, confidentiality, physician's malpractice, and liability and telemedicine regulations were considered. Conclusions: Our objective was to highlight the current status and identify what still needs to be implemented in tele-medicine with respect to ethical and legal standards. Gaps emerged between current legislation, legislators, service providers, different medical services, and most importantly patient interaction with his/her data and the use of that data.

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Section: Informed Consentmentioning

confidence: 99%

Section: Physician's Malpractice and Liabilitymentioning

confidence: 99%

Telemedicine Practice: Review of the Current Ethical and Legal Challenges

Nittari

Khuman

Baldoni

et al. 2020

Telemedicine and e-Health

307

207

View full text Add to dashboard Cite

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“…This aspect has been described in a recent paper exploring how smart technologies may create a double-edged sword for patient safety and effective therapeutic relationships. The authors underlined the need for regulatory guidelines and better education regarding the benefits and risks of these devices for both healthcare providers and patients [30].…”

Section: Challengesmentioning

confidence: 99%

Will applications on smartphones allow a generalization of telemedicine?

Allaert

Legrand

Carime

et al. 2020

BMC Med Inform Decis Mak

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Background: Telemedicine is one of the healthcare sectors that has developed the most in recent years. Currently, telemedicine is mostly used for patients who have difficulty attending medical consultations because of where they live (teleconsultation) or for specialist referrals when no specialist of a given discipline is locally available (telexpertise). However, the use of specific equipment (with dedicated cameras, screens, and computers) and the need for institutional infrastructure made the deployment and use of these systems expensive and rigid. Although many telemedicine systems have been tested, most have not generally gone beyond local projects. Our hypothesis is that the use of smartphones will allow health care providers to overcome some of the limitations that we have exposed, thus allowing the generalization of telemedicine.Main body: This paper addresses the problem of telemedicine applications, the market of which is growing fast. Their development may completely transform the organization of healthcare systems, change the way patients are managed and revolutionize prevention. This new organization should facilitate the lives of both patients and doctors. In this paper, we examine why telemedicine has failed for years to take its rightful place in many European healthcare systems although there was a real need. By developing the example of France, this article analyses the reasons most commonly put forth: the administrative and legal difficulties, and the lack of funding. We argue that the real reason telemedicine struggled to find its place was because the technology was not close enough to the patient. Conclusion: Finally, we explain how the development of smartphones and their current ubiquitousness should allow the generalization of telemedicine in France and on a global scale.

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“…AI can be developed to facilitate safe and ethical care pathways for seniors as part of system planning for healthy aging. They may also help health professionals and patients in rural areas to share and coordinate recorded information and predictive analytics, thereby promoting more equitable access to appropriate health resources . For example, wearable sensors and smart cameras that have sophisticated video processing and facial recognition capabilities may provide nonintrusive longitudinal assessment of physiological measurement, body movement, or emotional status .…”

Section: Other Voicesmentioning

confidence: 99%

Deep Ethical Learning: Taking the Interplay of Human and Artificial Intelligence Seriously

Ho¹

2019

Hastings Center Report

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From predicting medical conditions to administering health behavior interventions, artificial intelligence technologies are being developed to enhance patient care and outcomes. However, as Mélanie Terrasse and coauthors caution in an article in this issue of the Hastings Center Report, an overreliance on virtual technologies may depersonalize medical interactions and erode therapeutic relationships. The increasing expectation that patients will be actively engaged in their own care, regardless of the patients’ desire, technological literacy, and economic means, may also violate patients’ autonomy and exacerbate access. Moreover, since AI design is both a technical and social process, algorithms may mirror human biases, calling into question the vision of AI technologies surpassing human judgment and avoiding prejudices in decision‐making. The best answer to these problems is to develop AI health technologies as part of a culture of health care quality improvement, responding to existing needs while being proactive about potential technical and ethical problems that can arise from the technologies’ design and implementation.

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Leaving patients to their own devices? Smart technology, safety and therapeutic relationships

Cited by 49 publications

References 33 publications

Telemedicine Practice: Review of the Current Ethical and Legal Challenges

Telemedicine Practice: Review of the Current Ethical and Legal Challenges

Will applications on smartphones allow a generalization of telemedicine?

Deep Ethical Learning: Taking the Interplay of Human and Artificial Intelligence Seriously

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