Use of Machine Learning, EHR Design and Reporting to Increase Advance Care Planning Conversations for Patients with Serious Illness

This case study discusses the importance of Advance Care Planning (ACP) for seriously ill patients. It highlights the challenges in having ACP conversations between patients and healthcare providers, and how ACP can lead to better goal-concordant care and reduced care intensity at the end of life. Stanford Medicine has implemented a comprehensive approach using AI, digital tools, and human-centered workflows to enhance ACP. The study emphasizes AI is not the solution itself but a part of a broader system that aims to improve ACP documentation rates across the healthcare enterprise, leading to patient-centered care delivery improvements. The case study includes data showing positive outcomes resulting from these interventions.