Using Human-Centered Design to Improve Serious Illness Care for Older Adults With Advanced Dementia.

Context: Older adults with advanced dementia increasingly receive potentially non-beneficial, high-intensity life-sustaining treatments and goal-discordant care in the United States. Interventions to address this issue have shown limited success.

Objectives: To use human-centered design (HCD) with clinicians caring for older adults with advanced dementia to develop intervention ideas to reduce high-intensity, goal-discordant treatments near the end of life.

A Typology of Existing Machine Learning-Based Predictive Analytic Tools Focused on Reducing Costs and Improving Quality in Health Care: Systematic Search and Content Analysis.

Background: Considerable effort has been devoted to the development of artificial intelligence, including machine learning-based predictive analytics (MLPA) for use in health care settings. The growth of MLPA could be fueled by payment reforms that hold health care organizations responsible for providing high-quality, cost-effective care. Policy analysts, ethicists, and computer scientists have identified unique ethical and regulatory challenges from the use of MLPA in health care.