<i>Cyberinsights</i>
            : COVID-19 and What It Means for Cybersecurity

Wirth, Axel

doi:10.2345/0899-8205-54.3.216

Cited by 21 publications

(15 citation statements)

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“…Intermittent, continuous, impulsive, and low-frequency noises have varying characteristics, and their impact on annoyance, sleep, human performance, and health outcomes differ. [15][16][17] Intermittent noise is thought to be particularly distressing to patients, as the abrupt change in decibel level garners immediate attention and habituation may be less likely to occur. [18][19][20] Future studies of the effects of overhead paging on patients should consider the duration of sound occurrence and time interval between sound events, as differences may alter psychologic and physiologic human responses.…”

Section: Discussionmentioning

confidence: 99%

“…In late May, the OIG issued an alert to the public warning of "scammers" offering Medicare beneficiaries bogus COVID-19 tests in an attempt to glean personal information they can use to submit illegitimate claims. 16 Healthcare technology management (HTM) professionals should begin by educating themselves on the terms associated with telehealth services, advised Welch.…”

Section: Challenges Ahead and Opportunities For Htmmentioning

confidence: 99%

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2020

Biomedical Instrumentation & Technology

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We hear it again and again during the COVID-19 pandemic-we are living in extraordinary times.We keep hearing that phrase because it's true. As described in this issue's cover story (p. 242), the rise of widespread telehealth technology represents one of the more profound examples of how life and expectations have changed. Where once telehealth was embraced mostly by savvy healthcare providers and patients, stakeholder groups at every level are now turning to this technology as an essential, "life-saving tool."Crucially, the health technology community has stepped up to deliver these in-demand services, as well as to build out and maintain the infrastructure that is needed to support it. At the same time, government regulators have acted with unheard-of swiftness, opening the floodgates for patients to interact with caregivers from the comfort of their own smartphone.From medical device manufacturers to healthcare technology management professionals, the rush to produce and sustain these technologies is on.These invaluable tools have been waiting to break out into the mainstream. For those steeped in the world of health technology, are reliant on home healthcare, or live in a rural area, the benefits of telehealth were already well known. About one in 10 Americans reported utilizing this $3-billion industry in 2019. By 2020, and due in large part to the pandemic, those numbers have soared to nearly half of Americans and an estimated $250 billion in telehealth revenues.Telehealth didn't just reach a tipping point in the age of COVID. It was pressed into service with the force of our whole world turning upside down.This rapid adoption of telehealth, of course, comes with risks and considerations that must be effectively managed, including cybersecurity and connectivity (or lack thereof). When and how the pandemic ends, there's little question that one of its profound lasting impacts will be the transformation of how healthcare is sought, purchased, and delivered, passing now more than ever through the lens of health technology.We've come a long way in a very short time. And clearly, there is no going back.

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Section: Discussionmentioning

confidence: 99%

Section: Challenges Ahead and Opportunities For Htmmentioning

confidence: 99%

Full Issue

2020

Biomedical Instrumentation & Technology

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“…Recent attacks on hospitals in the UK and the Czech Republic confirm this (Clarke and Youngstein 2017 ; O'Dowd 2017 ). Moreover, we also know that cyber-attacks become more frequent in times of pandemics (Argaw et al 2019 ; Lallie et al 2020 ; Wirth 2020 ). During the current COVID-19 crisis, we have seen numerous attacks in France, Spain, the United States, and other countries.…”

Section: Three Risks Of Black Box Aimentioning

confidence: 99%

Artificial intelligence in medicine and the disclosure of risks

Kiener

2020

AI & Soc

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This paper focuses on the use of ‘black box’ AI in medicine and asks whether the physician needs to disclose to patients that even the best AI comes with the risks of cyberattacks, systematic bias, and a particular type of mismatch between AI’s implicit assumptions and an individual patient’s background situation. Pace current clinical practice, I argue that, under certain circumstances, these risks do need to be disclosed. Otherwise, the physician either vitiates a patient’s informed consent or violates a more general obligation to warn him about potentially harmful consequences. To support this view, I argue, first, that the already widely accepted conditions in the evaluation of risks, i.e. the ‘nature’ and ‘likelihood’ of risks, speak in favour of disclosure and, second, that principled objections against the disclosure of these risks do not withstand scrutiny. Moreover, I also explain that these risks are exacerbated by pandemics like the COVID-19 crisis, which further emphasises their significance.

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“…During the pandemic, reports of AI-based cyberattack are increasing world-wide. 55 However, AI can also be utilized as a detector and a bulwark against cyber-attacks. In the field of criminal justice, especially In the time of COVID-19 pandemic, AI has the potential to reduce the level of felony and crime with the utilization of modern forensic medicine, but is also vulnerable to abuse of privacy and violations of citizens' rights.…”

Section: Artificial Intelligence For Drug and Vaccine Design Of Covid-19mentioning

confidence: 99%

Application of Artificial Intelligence-Based Computation in the Health Sciences to Ward off the COVID-19 Pandemic

Parikesit

Ratnasari

Anurogo

2020

Int. J. Hum. Health Sci.

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COVID-19 pandemic is not slowing down, while the government from various countries is currently designing the ‘new normal’ to restart back their economy. Up to now, there is a significant mortality rate in the health care professionals that act as the frontliners in the hospitals and clinics in battling the COVID-19 menace. Based on computational sciences studied since the 1960s, artificial intelligence (AI) could assist healthcare professionals to protect themselves from the SARS-CoV-2 virus and treat the patients in an efficient and secure manner. AI, starting from the diagnosis, treatment, medication, until the prediction of the next pandemic, could assist in various areas. The objective of this review is to highlight AI in the health sciences in order to assist healthcare professionals in facing the COVID-19 pandemic, and the threat of the future pandemics.International Journal of Human and Health Sciences Vol. 05 No. 02 April’21 Page: 177-184

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Cyberinsights : COVID-19 and What It Means for Cybersecurity

Cited by 21 publications

References 0 publications

Full Issue

Full Issue

Artificial intelligence in medicine and the disclosure of risks

Application of Artificial Intelligence-Based Computation in the Health Sciences to Ward off the COVID-19 Pandemic

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