Special Issue on Intelligent Healthcare Systems

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.

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Introduction to the ACM TIST Special Issue on Intelligent Healthcare Informatics

ACM Transactions on Intelligent Systems and Technology ◽

10.1145/2791398 ◽

2015 ◽

Vol 6 (4) ◽

pp. 1-3

Keyword(s):

Special Issue ◽

Healthcare Informatics ◽

Intelligent Healthcare

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A Low-Power RFID Integrated Circuits for Intelligent Healthcare Systems

IEEE Transactions on Information Technology in Biomedicine ◽

10.1109/titb.2010.2053942 ◽

2010 ◽

Vol 14 (6) ◽

pp. 1387-1396 ◽

Cited By ~ 47

Author(s):

Shuenn-Yuh Lee ◽

Liang-Hung Wang ◽

Qiang Fang

Keyword(s):

Integrated Circuits ◽

Low Power ◽

Healthcare Systems ◽

Intelligent Healthcare

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Special Issue JOMS – Journal of Medical Systems, 2016 on Agent-Empowered HealthCare Systems

Journal of Medical Systems ◽

10.1007/s10916-016-0449-x ◽

2016 ◽

Vol 40 (4) ◽

Cited By ~ 1

Author(s):

Pedro Henriques Abreu ◽

Daniel Castro Silva ◽

Michael Ignaz Schumacher ◽

Luís Paulo Reis ◽

Brígida Mónica Faria ◽

...

Keyword(s):

Healthcare Systems ◽

Special Issue ◽

Medical Systems

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Editorial: Visualizing user experience and stories: From customer journeys to patient experience mapping

Knowledge Management & E-Learning: An International Journal ◽

10.34105/j.kmel.2020.12.020 ◽

2020 ◽

pp. 380-386

Keyword(s):

Patient Experience ◽

Healthcare Systems ◽

Patient Experiences ◽

Evidence Based ◽

Special Issue ◽

Patient Journey ◽

Literature Reviews ◽

Health Related ◽

Visual Approach ◽

Healthcare Process

Patient journey mapping represents a visual approach to documenting and analysing the experiences and stories of patients as they move through healthcare systems. Journey maps can also diagrammatically illustrate how patients interact with other stakeholders, systems and organizations throughout their journey. In this special issue a variety of innovative and scientific approaches to mapping the patient journey are described. The methods range from development of journey maps based on observation and interviews, to developing maps based on results of evidence-based literature reviews as well as from case studies. The outputs of the mapping may include an improved understanding of patient experiences, issues and problems encountered as well as the identification of opportunities for improving the healthcare process, patient experience and health outcomes. In this issue a range of health-related applications are described in order to illustrate the potential of the approach for improving complex domains such as healthcare.

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