Advance Care Planning in Primary Care: A Step toward Normalizing the Conversation.

Despite the number of advance care planning (ACP) conversation guides and tools, ACP conversations are not common in healthcare. In this quality improvement project, we took a different approach and applied complex adaptive systems theory to develop an intervention that emerged from the users (family physicians) themselves - a standardized e-form with prompts. By listening to the users, we were able to integrate ACP best practices, including shifting the focus of ACP conversations from treatment decisions to patient values, in a way that met both users' and patients' needs, addressed barriers and will help normalize ACP conversations in primary care. The intervention was designed for any patient and family physician and may have utility for other family practice groups.

The Use of Artificial Intelligence in Clinical Care: A Values-Based Guide for Shared Decision Making.

Clinical applications of artificial intelligence (AI) in healthcare, including in the field of oncology, have the potential to advance diagnosis and treatment. The literature suggests that patient values should be considered in decision making when using AI in clinical care; however, there is a lack of practical guidance for clinicians on how to approach these conversations and incorporate patient values into clinical decision making. We provide a practical, values-based guide for clinicians to assist in critical reflection and the incorporation of patient values into shared decision making when deciding to use AI in clinical care. Values that are relevant to patients, identified in the literature, include trust, privacy and confidentiality, non-maleficence, safety, accountability, beneficence, autonomy, transparency, compassion, equity, justice, and fairness. The guide offers questions for clinicians to consider when adopting the potential use of AI in their practice; explores illness understanding between the patient and clinician; encourages open dialogue of patient values; reviews all clinically appropriate options; and makes a shared decision of what option best meets the patient's values. The guide can be used for diverse clinical applications of AI.