Valuing good health care
How medical doctors, scientists and patients relate ethical challenges with artificial intelligence decision-making support tools in prostate cancer diagnostics to good health care
Bibliographic Data
| ID | 2250398 |
|---|---|
| Authors | M B Hesjedal (0000-0003-0982-1262, Department of Public Health and Nursing Norwegian University of Science and Technology Trondheim Norway, corresponding author), Emilie Hybertsen Lysø (0009-0009-9265-0740, Department of Public Health and Nursing Norwegian University of Science and Technology Trondheim Norway), Marit Solbjør (0000-0001-8959-4076, Department of Public Health and Nursing Norwegian University of Science and Technology Trondheim Norway), John‐arne Skolbekken (0000-0002-1924-9207, Department of Public Health and Nursing Norwegian University of Science and Technology Trondheim Norway) |
| Year | 2024 |
| Volume | 46 |
| Issue | 8 |
| Pages | 1808-1827 |
| Publication date | 2024-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociology of Health & Illness (JOURNAL) |
| Journal identifiers | ISSN: 0141-9889 • E-ISSN: 1467-9566 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/1467-9566.13818 |
| PMID | 39037701 |
| OpenAlex | W4400882153 |
| Language | EN |
| References cited | 42 |
Artificial intelligence (AI) is increasingly used in health care to improve diagnostics and treatment. Decision-making tools intended to help professionals in diagnostic processes are developed in a variety of medical fields. Despite the imagined benefits, AI in health care is contested. Scholars point to ethical and social issues related to the development, implementation, and use of AI in diagnostics. Here, we investigate how three relevant groups construct ethical challenges with AI decision-making tools in prostate cancer (PCa) diagnostics: scientists developing AI decision support tools for interpreting MRI scans for PCa, medical doctors working with PCa and PCa patients. This qualitative study is based on participant observation and interviews with the abovementioned actors. The analysis focuses on how each group draws on their understanding of 'good health care' when discussing ethical challenges, and how they mobilise different registers of valuing in this process. Our theoretical approach is inspired by scholarship on evaluation and justification. We demonstrate how ethical challenges in this area are conceptualised, weighted and negotiated among these participants as processes of valuing good health care and compare their perspectives
Construct (python library · Engineering ethics · Ethical decision · Health care · Political science · Qualitative research · Scholarship · Social science · Sociology · Variety (cybernetics · Artificial Intelligence · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Ethics and Social Impacts of AI · Ethics in Clinical Research · Medicine · Psychology · Social Psychology
The Logic of Care
The Sense of Dissonance
Value Practices in the Life Sciences and Medicine
Doing Focus Groups
Artificial intelligence in healthcare
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Towards an empirical ethics in care
Computer knows best? The need for value-flexibility in medical AI
Taking Roles in Interdisciplinary Collaborations
The reality of moral expectations
Care in Practice
Rethinking Comparative Cultural Sociology
‘AI for Social Good’
Artificial Intelligence and Patient-Centered Decision-Making
Thematic Analysis
The ethics of AI in health care
Matters of care
Valuation as Evaluating and Valorizing
What Is a Good Tomato? A Case of Valuing in Practice
Dealing With Conflicting Values in Policy Experiments
Ethics as Discursive Work
The ethics of algorithms
When digital health meets digital capitalism, how many common goods are at stake
Men's sociotechnical imaginaries of artificial intelligence for prostate cancer diagnostics - A focus group study
| Citation velocity | historical |
|---|---|
| Highly cited | No |