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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Techno-Anthropological Ethics and Health Information Systems Technologies
Tom Børsen1, Pia Brandt Danborg2
1Department of Development and Planning, Aalborg University Copenhagen, Denmark.
This study introduces a four-step method for ethical judgment in Health Information Systems Technologies. It helps professionals navigate complex ethical dilemmas in health data and emerging technologies.
Area of Science:
- Techno-Anthropology
- Bioethics
- Health Informatics
Background:
- Ethical judgment of new technologies is crucial in Techno-Anthropology.
- Health Information Systems Technologies present unique ethical challenges, including data regulation and sample use.
- Existing methods may not adequately address the speed and context required for these judgments.
Purpose of the Study:
- To present a novel, four-step methodology for rapid and accurate ethical assessments in Health Information Systems.
- To provide a structured approach for evaluating the ethical implications of health technologies.
- To enhance decision-making regarding the responsible development and deployment of health information systems.
Main Methods:
- The proposed method involves four sequential steps: identifying consequences and misuse, linking to ethical values, pinpointing specific dilemmas, and formulating design criteria.
- The methodology emphasizes a contextualized approach to ethical evaluation.
- Case studies, including discussions on health data research ethics and genetic predisposition in cancer surgery, will illustrate the method's application.
Main Results:
- The methodology provides a systematic framework for ethical analysis.
- It facilitates the identification of potential ethical issues and the development of mitigation strategies.
- Application to real-world cases demonstrates its practical utility in addressing complex ethical challenges.
Conclusions:
- The presented method offers a valuable tool for making 'proper and quick' ethical estimates in Health Information Systems.
- It supports informed decision-making and the responsible innovation of health technologies.
- This approach can help bridge the gap between technological advancement and ethical considerations in healthcare.
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