Florian Funer
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View article: Experiences with remote ethics consultation: a qualitative study with ethics consultants in Germany
Experiences with remote ethics consultation: a qualitative study with ethics consultants in Germany Open
Background The use of remote methods such as video conferencing has the potential to improve access to ethics consultations, particularly in outpatient and rural healthcare settings. Although their use has increased significantly since the…
View article: Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS
Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS Open
Background Patients are confronted with the digital transformation of medicine, yet there is a paucity of studies that discuss the patient perspective on AI-based clinical decision support systems (AI-CDSS). Our study addresses this resear…
View article: Non-empirical methods for ethics research on digital technologies in medicine, health care and public health: a systematic journal review
Non-empirical methods for ethics research on digital technologies in medicine, health care and public health: a systematic journal review Open
Bioethics has developed approaches to address ethical issues in health care, similar to how technology ethics provides guidelines for ethical research on artificial intelligence, big data, and robotic applications. As these digital technol…
View article: Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study
Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study Open
Background Clinical decision support systems (CDSSs) are increasingly being introduced into various domains of health care. Little is known so far about the impact of such systems on the health care professional–patient relationship, and t…
View article: Physician’s autonomy in the face of AI support: walking the ethical tightrope
Physician’s autonomy in the face of AI support: walking the ethical tightrope Open
The introduction of AI support tools raises questions about the normative orientation of medical practice and the need to rethink its basic concepts. One of these concepts that is central to the discussion is the physician’s autonomy and i…
View article: Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study (Preprint)
Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study (Preprint) Open
BACKGROUND Clinical decision support systems (CDSSs) are increasingly being introduced into various domains of health care. Little is known so far about the impact of such systems on the health care professional–patient relationship, and …
View article: Admitting the heterogeneity of social inequalities: intersectionality as a (self-)critical framework and tool within mental health care
Admitting the heterogeneity of social inequalities: intersectionality as a (self-)critical framework and tool within mental health care Open
Inequities shape the everyday experiences and life chances of individuals at the margins of societies and are often associated with lower health and particular challenges in accessing quality treatment and support. This fact is even more d…
View article: Responsibility and decision-making authority in using clinical decision support systems: an empirical-ethical exploration of German prospective professionals’ preferences and concerns
Responsibility and decision-making authority in using clinical decision support systems: an empirical-ethical exploration of German prospective professionals’ preferences and concerns Open
Machine learning-driven clinical decision support systems (ML-CDSSs) seem impressively promising for future routine and emergency care. However, reflection on their clinical implementation reveals a wide array of ethical challenges. The pr…
View article: The Deception of Certainty: how Non-Interpretable Machine Learning Outcomes Challenge the Epistemic Authority of Physicians. A deliberative-relational Approach
The Deception of Certainty: how Non-Interpretable Machine Learning Outcomes Challenge the Epistemic Authority of Physicians. A deliberative-relational Approach Open
Developments in Machine Learning (ML) have attracted attention in a wide range of healthcare fields to improve medical practice and the benefit of patients. Particularly, this should be achieved by providing more or less automated decision…
View article: Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship
Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship Open
The initial successes in recent years in harnessing machine learning (ML) technologies to improve medical practice and benefit patients have attracted attention in a wide range of healthcare fields. Particularly, it should be achieved by p…
View article: Evidence for a Selectively Regulated Prioritization Shift Depending on Walking Situations in Older Adults
Evidence for a Selectively Regulated Prioritization Shift Depending on Walking Situations in Older Adults Open
Background: Older adults have increased risks of balance issues and falls when walking and performing turns in daily situations. Changes of prioritization during different walking situations associated with dual tasking may contribute to t…