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Record STMT-W160E09Aspirational

RoboDoc: Critical ethical issues to consider for the design and development of a robotic doctor experience

Report State lawGlobalin force

This academic paper explores the critical ethical issues involved in the design and development of medical robots and robotic doctors. It highlights the importance of understanding human-robot interaction, patient-doctor relationships, and the aesthetic and moral considerations in healthcare robotics. The authors discuss challenges such as confidentiality, trust, liability, and the need for new ethical and legal frameworks in AI-driven healthcare.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

IOS PressIndustry
Publisher
University of OxfordAcademic · GB
Contributor
Cardiff Metropolitan UniversityAcademic
Contributor
Legal forceAspirational
Under whose authorityState law
Judged fromfull text

Who it governs

Researchers and academicsAI developers and providersAI deployers and usersProfessional group

Researchers, designers, and developers should read this to understand the ethical and human-robot interaction challenges involved in creating medical robots.

Sectors
Healthcare · robotic doctor experience and healthcare roboticsResearch and science

What the document contains

What's covered

The paper explores the ethical, design, and developmental considerations of integrating robotic doctors into healthcare systems. It addresses human-robot interaction dynamics, patient-doctor trust, confidentiality challenges in AI health monitoring, and the medicolegal responsibility of robotic errors.

What's missing

The document does not provide binding regulations, code compliance mechanisms, or enforceable legal frameworks for AI development.

Key takeaways
  • The integration of robots into healthcare requires a deep understanding of patient and doctor needs to ensure complete satisfaction.
  • Human-robot interaction in medical settings must account for emotional, psychological, and long-term effects.
  • The transition to robotic healthcare creates complex medicolegal conundrums regarding responsibility for errors.
  • Maintaining medical confidentiality and trust becomes increasingly challenging with the deployment of AI-driven data monitoring and ambient tracking.
  • New ethical norms, professional structures, and legal frameworks will likely be necessary to govern robotic medical practice.
Outline
· Abstract
· 1. Introduction
· 2. Ethics and human robotic interaction
· 3. Robots and healthcare
  - 3.1. The doctor and patient perspective
· References
Issued1 June 2020
Length3,370 words
FormatNot recorded
Scopeglobal

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

2/5

Clear responsibility for AI outcomes

To introduce a robot surgeon would require a holistic safety and ethical measures such as during a hypothetical scenario of complications, who is responsible?

3.1. The doctor and patient perspective

screening score · 2026-10-24

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-24

Human Dignity

1/5

Respect for the inherent worth of persons

Human-like faculties such as emotions, empathy and the capacity to perceive and understand non-verbal social cues would give robots much greater ability to interact with humans

2. Ethics and human robotic interaction

screening score · 2026-10-24

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-24

Privacy

2/5

Protection of personal data and private life

Confidentiality of medical information is the norm, with rare scenarios where it is ethical and legal to breach confidentiality

3.1. The doctor and patient perspective

screening score · 2026-10-24

Transparency

2/5

Openness about how AI systems work and are used

Where does responsibility for medicolegal error lie in a complex system of potentially opaque AI decision-making and lack of clear legal accountability?

3.1. The doctor and patient perspective

screening score · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-24

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

Anticipating and planning these is necessary to mitigate the risks (patient disapproval, large scale harm to patients, corporate malfeasance) involved in this transition.

3. Robots and healthcare

screening score · 2026-10-24

Topics

robotics healthcare ethics human_robot_interaction artificial_intelligence