To examine patient concerns regarding artificial intelligence applications in healthcare through the lens of Social Ecological Theory.
Approach:
Systematic Review: Hou et al conducted a systematic review and meta-synthesis of 25 qualitative investigations on patient concerns about AI in healthcare.
Key Findings:
At the microlevel, patients expressed concerns about privacy, data security, and the complexity of AI decision-making.
At the mesolevel, concerns included potential deterioration in physician-patient relationships and diminished trust in healthcare organizations.
At the macrolevel, issues centered on equitable access to AI technology, ethical oversight, and the potential replacement of human workers.
Limitations:
Patients may face challenges in providing informed consent due to varying digital and health literacy.
AI functions may operate without patient-level opt-out options, complicating consent processes.
