Importance of clarifying patients' desired role in shared decision making to match their level of engagement with their preferences
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We should not assume that certain groups of patients don’t want to or can’t participate in decisions about their healthcare, say Mary Politi and colleagues, and they offer advice on how to determine how much patients want to be involved
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If used appropriately, explainable AI decision support systems may contribute to patients feeling more knowledgeable and better informed and may promote more accurate risk perceptions.
“If used appropriately, explainable AI decision support systems may not only contribute to patients feeling more knowledgeable and better informed but could also promote more accurate risk perceptions [34, 35].”
From Explainability for artificial intelligence in healthcare: a multidisciplinary perspective (2020) · cites this paper as [34]
By simulating the impact of different treatment or lifestyle interventions, an explainable AI decision aid could help raise patients' choice awareness and support clinicians in eliciting patient values and preferences.
“By simulating the impact of different treatment or lifestyle interventions, an explainable AI decision aid could help to raise patients’ choice awareness and support clinicians in eliciting patient values and preferences [34].”
From Explainability for artificial intelligence in healthcare: a multidisciplinary perspective (2020) · cites this paper as [34]
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Sorted by citations
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
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- Authors
- Politi, M. C., Dizon, D. S., Frosch, D. L., Kuzemchak, M. D., & Stiggelbout, A. M.
- Affiliations
- Washington University in St. Louis (US)
- Harvard University (US)
- Palo Alto Medical Foundation (US)
- Leiden University Medical Center (NL)
- Corresponding author
- Politi, M. C.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2013-12-02
- Volume
- 347
- Issue
- dec02 1
- Pages
- f7066-f7066
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W2104433218
- Cited by
- 132
- References
- 34
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 2 · 2023: 11 · 2022: 5 · 2021: 14 · 2020: 15 · 2019: 17 · 2018: 11 · 2017: 14 · 2016: 7 · 2015: 12 · 2014: 11
- FWCI
- 18.10
- Type
- journal article
- Language
- en
- Open access
- Locations
- BMJ (publishedVersion)
- PubMed (publishedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
- Health Sciences › Health Professions › General Health Professions › Mental Health and Patient Involvement
- Keywords
- shared decision-making, patient preferences, patient engagement, patient involvement in treatment decisions
- MeSH terms
- Communication, Decision Making, Humans, Patient Acceptance of Health Care, Patient Participation, Physician-Patient Relations, Patient Preference
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