Artificial intelligence and the doctor-patient relationship expanding the paradigm of shared decision making.

Artificial intelligence (AI) based clinical decision support systems (CDSS) are becoming ever more widespread in healthcare and could play an important role in diagnostic and treatment processes. For this reason, AI-based CDSS has an impact on the doctor-patient relationship, shaping their decisions with its suggestions. We may be on the verge of a paradigm shift, where the doctor-patient relationship is no longer a dual relationship, but a triad. This paper analyses the role of AI-based CDSS for shared decision-making to better comprehend its promises and associated ethical issues. Moreover, it investigates how certain AI implementations may instead foster the inappropriate paradigm of paternalism. Understanding how AI relates to doctors and influences doctor-patient communication is essential to promote more ethical medical practice. Both doctors' and patients' autonomy need to be considered in the light of AI.

It takes a pirate to know one: ethical hackers for healthcare cybersecurity.

Healthcare cybersecurity is increasingly targeted by malicious hackers. This sector has many vulnerabilities and health data is very sensitive and valuable. Consequently, any damage caused by malicious intrusions is particularly alarming. The consequences of these attacks can be enormous and endanger patient care. Amongst the already-implemented cybersecurity measures and the ones that need to be further improved, this paper aims to demonstrate how penetration tests can greatly benefit healthcare cybersecurity. It is already proven that this approach has enforced cybersecurity in other sectors. However, it is not popular in healthcare since many prejudices still surround the hacking practice and there is a lack of education on hackers' categories and their ethics. The present analysis aims to comprehend what hacker ethics is and who ethical hackers are. Currently, hacker ethics has the status of personal ethics; however, to employ penetration testers in healthcare, it is recommended to draft an official code of ethics, comprising principles, standards, expectations, and best practices. Additionally, it is important to distinguish between malicious hackers and ethical hackers. Amongst the latter, penetration testers are only a sub-category. Acknowledging the subtle differences between ethical hackers and penetration testers allows to better understand why and how the latter can offer their services to healthcare facilities.

The use of heuristics in genetic testing decision-making: A qualitative interview study.

BACKGROUND: Decision-making concerning predictive genetic testing for hereditary cancer syndromes is inherently complex. This study aims to investigate what kind of complexities adults undergoing genetic counseling in Switzerland experience, how they deal with them, and what heuristics they use during the decision-making process. METHODS: Semi-structured qualitative interviews with eighteen Swiss adults seeking genetic counseling for hereditary cancer syndrome genetic testing and two counseling physicians were conducted and analyzed using a grounded theory approach. RESULTS: Counselees stated that once they were aware of their eligibility for genetic testing they perceived an inevitable necessity to make a decision in a context of uncertainties. Some counselees perceived this decision as simple, others as very complex. High emotional involvement increased perceived complexity. We observed six heuristics that counselees used to facilitate their decision: Anticipating the test result; Focusing on consequences; Dealing with information; Interpreting disease risk; Using external guidance; and (Re-)Considering the general uncertainty of life. LIMITATIONS: Our findings are limited to the context of predictive genetic testing for hereditary cancer syndromes. This qualitative study does not allow extrapolation of the relative frequency of which heuristics occur. CONCLUSIONS: The use of heuristics is an inherent part of decision-making, particularly in the complex context of genetic testing for inherited cancer predisposition. However, some heuristics increase the risk of misinterpretation or exaggerated external influences. This may negatively impact informed decision-making. Thus, this study illustrates the importance of genetic counselors and medical professionals being aware of these heuristics and the individual manner in which they might be applied in the context of genetic testing decision-making. Findings may offer practical support to achieve this, as they inductively focus on the counselees' perspective.

Social Media Terms and Conditions and Informed Consent From Children: Ethical Analysis.

BACKGROUND: Terms and conditions define the relationship between social media companies and users. However, these legal agreements are long and written in a complex language. It remains questionable whether users understand the terms and conditions and are aware of the consequences of joining such a network. With children from a young age interacting with social media, companies are acquiring large amounts of data, resulting in longitudinal data sets that most researchers can only dream of. The use of social media by children is highly relevant to their mental and physical health for 2 reasons: their health can be adversely affected by social media and their data can be used to conduct health research. OBJECTIVE: The aim of this paper is to offer an ethical analysis of how the most common social media apps and services inform users and obtain their consent regarding privacy and other issues and to discuss how lessons from research ethics can lead to trusted partnerships between users and social media companies. Our paper focuses on children, who represent a sensitive group among users of social media platforms. METHODS: A thematic analysis of the terms and conditions of the 20 most popular social media platforms and the 2 predominant mobile phone ecosystems (Android and iOS) was conducted. The results of this analysis served as the basis for scoring these platforms. RESULTS: The analysis showed that most platforms comply with the age requirements issued by legislators. However, the consent process during sign-up was not taken seriously. Terms and conditions are often too long and difficult to understand, especially for younger users. The same applies to age verification, which is not realized proactively but instead relies on other users who report underaged users. CONCLUSIONS: This study reveals that social media networks are still lacking in many respects regarding the adequate protection of children. Consent procedures are flawed because they are too complex, and in some cases, children can create social media accounts without sufficient age verification or parental oversight. Adopting measures based on key ethical principles will safeguard the health and well-being of children. This could mean standardizing the registration process in accordance with modern research ethics procedures: give users the key facts that they need in a format that can be read easily and quickly, rather than forcing them to wade through chapters of legal language that they cannot understand. Improving these processes would help safeguard the mental health of children and other social media users.

All Our Data Will Be Health Data One Day: The Need for Universal Data Protection and Comprehensive Consent.

Tremendous growth in the types of data that are collected and their interlinkage are enabling more predictions of individuals' behavior, health status, and diseases. Legislation in many countries treats health-related data as a special sensitive kind of data. Today's massive linkage of data, however, could transform "nonhealth" data into sensitive health data. In this paper, we argue that the notion of health data should be broadened and should also take into account past and future health data and indirect, inferred, and invisible health data. We also lay out the ethical and legal implications of our model.

Google's Project Nightingale highlights the necessity of data science ethics review.

On November 14 last year, the British Guardian published an account from an anonymous whistleblower at Google, accusing the company of misconduct in regard to handling sensitive health data. The whistleblower works for Project Nightingale, an attempt by Google to get into the lucrative US healthcare market, by storing and processing the personal medical data of up to 50 million customers of Ascension, one of America's largest healthcare providers. As the Wall Street Journal had already reported 3 days earlier, and as the whistleblower confirmed, neither was the data anonymized when transmitted from Ascension nor were patients or their doctors notified, let alone asked for consent to sharing their data with Google (Copeland, 2019; Pilkington, 2019). As a result, Google employees had full access to non-anonymous patient health data. Google Health chief David Feinberg commented that all Google employees involved had gone through medical ethics training and were approved by Ascension (Feinberg, 2019).

CRISPR and the Rebirth of Synthetic Biology.

Emergence of novel genome engineering technologies such as clustered regularly interspaced short palindromic repeat (CRISPR) has refocused attention on unresolved ethical complications of synthetic biology. Biosecurity concerns, deontological issues and human right aspects of genome editing have been the subject of in-depth debate; however, a lack of transparent regulatory guidelines, outdated governance codes, inefficient time-consuming clinical trial pathways and frequent misunderstanding of the scientific potential of cutting-edge technologies have created substantial obstacles to translational research in this area. While a precautionary principle should be applied at all stages of genome engineering research, the stigma of germline editing, synthesis of new life forms and unrealistic presentation of current technologies should not arrest the transition of new therapeutic, diagnostic or preventive tools from research to clinic. We provide a brief review on the present regulation of CRISPR and discuss the translational aspect of genome engineering research and patient autonomy with respect to the "right to try" potential novel non-germline gene therapies.

Neuroenhancers, addiction and research ethics.

In their recent paper in this journal, Heinz and colleagues accuse proponents of cognitive enhancement of making two unjustified assumptions. The first of these is the assumption that neuroenhancing drugs will be safe; the second is that research into cognitive enhancement does not pose particular ethical problems. Heinz and colleagues argue that both these assumptions are false. Here, I argue that these assumptions are in fact correct, and that Heinz and colleagues themselves make several assumptions that undermine their argument. Neuroenhancement does raise several ethical concerns, but safety and research in this area pose no unique difficulties.

Moral qualms, future persons, and embryo research.

Many people have moral qualms about embryo research, feeling that embryos must deserve some kind of protection, if not so much as is afforded to persons. This paper will show that these qualms serve to camouflage motives that are really prudential, at the cost of also obscuring the real ethical issues at play in the debate concerning embryo research and therapeutic cloning. This in turn leads to fallacious use of the Actions/Omissions Distinction and ultimately neglects the duties that we have towards future persons.