scholarly journals AI-Assisted Decision-making in Healthcare

2019 ◽  
Vol 11 (3) ◽  
pp. 299-314 ◽  
Author(s):  
Tamra Lysaght ◽  
Hannah Yeefen Lim ◽  
Vicki Xafis ◽  
Kee Yuan Ngiam
Keyword(s):  
Ethical Issues ◽  
Healthcare Systems ◽  
Decision Makers ◽  
Computational Power ◽  
Special Issue ◽  
Public Benefit ◽  
Ethics Framework ◽  
Full Explanation ◽  
Algorithmic Bias

Abstract Artificial intelligence (AI) is set to transform healthcare. Key ethical issues to emerge with this transformation encompass the accountability and transparency of the decisions made by AI-based systems, the potential for group harms arising from algorithmic bias and the professional roles and integrity of clinicians. These concerns must be balanced against the imperatives of generating public benefit with more efficient healthcare systems from the vastly higher and accurate computational power of AI. In weighing up these issues, this paper applies the deliberative balancing approach of the Ethics Framework for Big Data in Health and Research (Xafis et al. 2019). The analysis applies relevant values identified from the framework to demonstrate how decision-makers can draw on them to develop and implement AI-assisted support systems into healthcare and clinical practice ethically and responsibly. Please refer to Xafis et al. (2019) in this special issue of the Asian Bioethics Review for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end of this paper.

scholarly journals Cross-Sectoral Big Data

2019 ◽  
Vol 11 (3) ◽  
pp. 327-339 ◽  
Author(s):  
Graeme T. Laurie
Keyword(s):  
Big Data ◽  
Ethical Issues ◽  
Health Sector ◽  
Well Being ◽  
Biomedical Data ◽  
Ethical Values ◽  
Ethics Framework ◽  
Full Explanation ◽  
Health And Well Being

Abstract Discussion of uses of biomedical data often proceeds on the assumption that the data are generated and shared solely or largely within the health sector. However, this assumption must be challenged because increasingly large amounts of health and well-being data are being gathered and deployed in cross-sectoral contexts such as social media and through the internet of (medical) things and wearable devices. Cross-sectoral sharing of data thus refers to the generation, use and linkage of biomedical data beyond the health sector. This paper considers the challenges that arise from this phenomenon. If we are to benefit fully, it is important to consider which ethical values are at stake and to reflect on ways to resolve emerging ethical issues across ecosystems where values, laws and cultures might be quite distinct. In considering such issues, this paper applies the deliberative balancing approach of the Ethics Framework for Big Data in Health and Research (Xafis et al. 2019) to the domain of cross-sectoral big data. Please refer to that article for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end.

scholarly journals Openness in Big Data and Data Repositories

2019 ◽  
Vol 11 (3) ◽  
pp. 255-273 ◽  
Author(s):  
Vicki Xafis ◽  
Markus K. Labude
Keyword(s):  
Big Data ◽  
Ethical Issues ◽  
Open Science ◽  
Research Data ◽  
Data Repositories ◽  
Ethics Framework ◽  
Full Explanation ◽  
Health Related Research ◽  
Health Related ◽  
Privacy And Confidentiality

Abstract There is a growing expectation, or even requirement, for researchers to deposit a variety of research data in data repositories as a condition of funding or publication. This expectation recognizes the enormous benefits of data collected and created for research purposes being made available for secondary uses, as open science gains increasing support. This is particularly so in the context of big data, especially where health data is involved. There are, however, also challenges relating to the collection, storage, and re-use of research data. This paper gives a brief overview of the landscape of data sharing via data repositories and discusses some of the key ethical issues raised by the sharing of health-related research data, including expectations of privacy and confidentiality, the transparency of repository governance structures, access restrictions, as well as data ownership and the fair attribution of credit. To consider these issues and the values that are pertinent, the paper applies the deliberative balancing approach articulated in the Ethics Framework for Big Data in Health and Research (Xafis et al. 2019) to the domain of Openness in Big Data and Data Repositories. Please refer to that article for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end.

scholarly journals Precision Medicine and Big Data

2019 ◽  
Vol 11 (3) ◽  
pp. 275-288 ◽  
Author(s):  
G. Owen Schaefer ◽  
E Shyong Tai ◽  
Shirley Sun
Keyword(s):  
Big Data ◽  
Precision Medicine ◽  
Ethical Issues ◽  
Disease Risk ◽  
Ethical Framework ◽  
Harm Minimization ◽  
Causal Pathways ◽  
Full Explanation ◽  
Effective Diagnosis

Abstract As opposed to a ‘one size fits all’ approach, precision medicine uses relevant biological (including genetic), medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone’s disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical issues relating to the balancing of interests, viability of anonymization, familial and group implications, as well as genetic discrimination. This article analyses these issues in light of the values of public benefit, justice, harm minimization, transparency, engagement and reflexivity and applies the deliberative balancing approach found in the Ethical Framework for Big Data in Health and Research (Xafis et al. 2019) to a case study on clinical genomic data sharing. Please refer to that article for an explanation of how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. Our discussion is meant to be of use to those involved in the practice as well as governance and oversight of precision medicine to address ethical concerns that arise in a coherent and systematic manner.

Prohibition, Legalization, and Political Consumerism

2018 ◽  
pp. 740-769 ◽  
Author(s):  
Elizabeth A. Bennett
Keyword(s):  
Social Movements ◽  
Legal Status ◽  
Ethical Issues ◽  
Drug Control ◽  
Psychoactive Substance ◽  
Political Consumerism ◽  
Control Laws ◽  
The Past ◽  
The Us

Cannabis (marijuana) is the most commonly consumed, universally produced, and frequently trafficked psychoactive substance prohibited under international drug control laws. Yet, several countries have recently moved toward legalization. In these places, the legal status of cannabis is complex, especially because illegal markets persist. This chapter explores the ways in which a sector’s legal status interacts with political consumerism. The analysis draws on a case study of political consumerism in the US and Canadian cannabis markets over the past two decades as both countries moved toward legalization. It finds that the goals, tactics, and leadership of political consumerism activities changed as the sector’s legal status shifted. Thus prohibition, semilegalization, and new legality may present special challenges to political consumerism, such as silencing producers, confusing consumers, deterring social movements, and discouraging discourse about ethical issues. The chapter concludes that political consumerism and legal status may have deep import for one another.

The ethics of pandemic preparedness revisited - autonomy, quarantine, transferability and trust

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
P Schröder-Bäck ◽  
T Schloemer ◽  
K Martakis ◽  
C Brall
Keyword(s):  
Crisis Management ◽  
Ethical Issues ◽  
Lessons Learned ◽  
Point Of View ◽  
Ethical Challenges ◽  
Pandemic Preparedness ◽  
Ethical Aspects ◽  
Outbreak Management ◽  
Ethics Framework ◽  
Ethical Point

Abstract Background The outbreak of SARS in 2002 lead to a public health ethics discourse. The crisis management of that time was ethically analysed and lessons to be learned discussed. Scholarship and WHO, among others, developed an ethics of pandemic preparedness. The current “corona crisis” also faces us with ethical challenges. This presentation is comparing the two crises from an ethical point of view and a focus on Europe. Methods An ethics framework for pandemic preparedness (Schröder et al. 2006 and Schröder-Bäck 2014) is used to make a synopsis of ethical issues. Ethical aspects of 2002 and 2020 that were discussed in the literature and in the media are compared. For 2020, the focus is on interventions in Italy, Germany, Switzerland, and the Netherlands. Results Topics that emerged from the 2002 crisis were, among others, revolving around aspects of stigmatisation and fair distribution of scarce resources (esp. vaccines, antivirals). Currently, most urgent and ethically challenging aspects relate to social distancing vs. autonomy: Isolation and quarantine are handled differently across Europe and the EU. Questions of transferability of such interventions prevail. Contexts vary vertically over time (2002 vs. 2020) and horizontally (e.g. between Italy and Germany at the same time). Furthermore, trust in authorities, media and health information is a key issue. Conclusions Ethical aspects are key for good pandemic preparedness and management. The context of the crises between 2002 and 2020 has slightly changed, also based on “lessons learned” from 2002. This has implications on ethical issues that are being discussed. New lessons will have to be learned from the 2020 crisis. Key messages Pandemic preparedness and outbreak management entail many ethical tensions that need to be addressed. Currently, questions of trust and transferability are key to the crisis management, further ethical issues could still emerge.

scholarly journals Integrated Impact Assessment for Sustainable Hydropower Planning in the Vjosa Catchment (Greece, Albania)

2021 ◽  
Vol 13 (3) ◽  
pp. 1514
Author(s):  
Rebecca Peters ◽  
Jürgen Berlekamp ◽  
Ana Lucía ◽  
Vittoria Stefani ◽  
Klement Tockner ◽  
...  
Keyword(s):  
Impact Assessment ◽  
Planning Process ◽  
Renewable Energy Sources ◽  
Decision Makers ◽  
Catchment Scale ◽  
Northern Greece ◽  
Hydropower Plants ◽  
Hydropower Planning

Mitigating climate change, while human population and economy are growing globally, requires a bold shift to renewable energy sources. Among renewables, hydropower is currently the most economic and efficient technique. However, due to a lack of impact assessments at the catchment scale in the planning process, the construction of hydropower plants (HPP) may have unexpected ecological, socioeconomic, and political ramifications in the short and in the long term. The Vjosa River, draining parts of Northern Greece and Albania, is one of the few predominantly free-flowing rivers left in Europe; at the same time its catchment is identified an important resource for future hydropower development. While current hydropower plants are located along tributaries, planned HPP would highly impact the free-flowing main stem. Taking the Vjosa catchment as a case study, the aim of this study was to develop a transferable impact assessment that ranks potential hydropower sites according to their projected impacts on a catchment scale. Therefore, we integrated established ecological, social, and economic indicators for all HPP planned in the river catchment, while considering their capacity, and developed a ranking method based on impact categories. For the Vjosa catchment, ten hydropower sites were ranked as very harmful to the environment as well as to society. A sensitivity analysis revealed that this ranking is dependent upon the selection of indicators. Small HPP showed higher cumulative impacts than large HPP, when normalized to capacity. This study empowers decision-makers to compare both the ranked impacts and the generated energy of planned dam projects at the catchment scale.

scholarly journals Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research

2021 ◽  
pp. 155626462110027
Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick
Keyword(s):  
Artificial Intelligence ◽  
Health Research ◽  
Decision Makers ◽  
Societal Impact ◽  
The Past ◽  
Research And Innovation ◽  
The United Kingdom ◽  
Responsible Research ◽  
Past Half

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.

Do different types of organizational trust matter to employees’ commitment? A case study from Oman

2020 ◽  
pp. 1-11
Author(s):  
Moaz Gharib ◽  
Kamaal Allil ◽  
Omar Durrah ◽  
Mohammed Alsatouf
Keyword(s):  
Online Survey ◽  
Employee Commitment ◽  
Decision Makers ◽  
Design Strategies ◽  
Food Sector ◽  
Final Sample ◽  
Organisational Trust ◽  
Positive Effect ◽  
Practical Implications

PURPOSE: Trust is vital to all positive relationships. This empirical study explores the effect of three facets of organisational trust (trust in supervisors, in co-workers and in the organisation) on employee commitment in Salalah Mills Co. in the food industry in the Sultanate of Oman. METHODOLOGY: Data were collected via an online survey sent to all employees working in Salalah Mills Co., Oman. The final sample consisting of 102 responses with a response rate of 54 percent were analysed using multiple regression analysis. RESULTS: The findings revealed that two facets of organisational trust (trust in co-workers and trust in supervisors) were found to have a significant positive effect on employee commitment, while trust in the organisation was found to have no significant effect. PRACTICAL IMPLICATIONS: Trust in supervisors and trust in co-workers directly affect employee commitment. Therefore, managers should consider promoting both of these forms of trust to enhance employee commitment. VALUE: Although previous studies have examined the link between organisational trust and employee commitment, a focus on Oman and the food sector has been particularly rare, so this study offers new insights. The findings will help decision-makers on design strategies and policies to improve employee commitment through trust.

scholarly journals Conformity of the NASADEM_HGT and ALOS AW3D30 DEM with the Altitude from the Brazilian Geodetic Reference Stations: A Case Study from Brazilian Cerrado

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2935
Author(s):  
Giovana Maranhão Bettiol ◽  
Manuel Eduardo Ferreira ◽  
Luiz Pacheco Motta ◽  
Édipo Henrique Cremon ◽  
Edson Eyji Sano
Keyword(s):  
Decision Makers ◽  
Surface Model ◽  
Brazilian Cerrado ◽  
Digital Elevation ◽  
Class B ◽  
Crucial Information ◽  
Error Standard Deviation ◽  
Elevation Model ◽  
Main Region

The Brazilian Cerrado (tropical savanna) is the second largest biome in South America and the main region in the country for agricultural production. Altitude is crucial information for decision-makers and planners since it is directly related to temperature that conditions, for example, the climatic risk of rainfed crop plantations. This study analyzes the conformity of two freely available digital elevation models (DEMs), the NASADEM Merged Digital Elevation Model Global 1 arc second (NASADEM_HGT) version 1 and the Advanced Land Observing Satellite Global Digital Surface Model (ALOS AW3D30), version 3.1, with the altitudes provided by 1695 reference stations of the Brazilian Geodetic System. Both models were evaluated based on the parameters recommended in the Brazilian Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD), which defines error tolerances according to eight different scales (from 1:1000 to 1:250,000) and classes A (most strict tolerance, for example, 0.17 m for 1:1000 scale), B, C, and D (least strict tolerance, for example, 50 m for 1:250,000 scale). Considering the class A, the NASADEM_HGT meets 1:250,000 and lower scales, while AW3D30 meets 1:100,000 and lower scales; for class B, NASADEM_HGT meets 1:100,000 scale and AW3D30 meets 1:50,000. AW3D30 presented lower values of root mean square error, standard deviation, and bias, indicating that it presents higher accuracy in relation to the NASADEM_HGT. Within eight of Cerrado’s municipalities with the highest grain production, the differences between average altitudes, measured by the Cohen’s effect size, were statistically insignificant. The results obtained by the PEC-PCD for the Cerrado biome indicate that both models can be employed in different DEM-dependent applications over this biome.

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