Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research.

Objectives: Given widespread interest in applying artificial intelligence (AI) to health data to improve patient care and health system efficiency, there is a need to understand the perspectives of the general public regarding the use of health data in AI research.

Design: A qualitative study involving six focus groups with members of the public. Participants discussed their views about AI in general, then were asked to share their thoughts about three realistic health AI research scenarios.

Conversational avoidance during existential interviews with patients with progressive illness.

We examined patterns of avoidance when existential emotional topics were raised during conversations with patients with pulmonary arterial hypertension (PAH), an incurable life-limiting disease. 30 adult outpatients with PAH were recruited for a 20 to 60-minute interview about their illness experience. Qualitative content analysis was used to identify avoidance strategies that patients employed.