Strategies to improve care for older adults who present to the emergency department: a systematic review.

Background: The aim of this systematic review was to examine the relationship between strategies to improve care delivery for older adults in ED and evaluation measures of patient outcomes, patient experience, staff experience, and system performance.

Methods: A systematic review of English language studies published since inception to December 2022, available from CINAHL, Embase, Medline, and Scopus was conducted. Studies were reviewed by pairs of independent reviewers and included if they met the following criteria: participant mean age of ≥ 65 years; ED setting or directly influenced provision of care in the ED; reported on improvement interventions and strategies; reported patient outcomes, patient experience, staff experience, or system performance.

Participatory Process Anchored in Systems Thinking for Implementing Ethics in Medical AI: A Qualitative Study.

Implementing ethics is a complex issue and should engage stakeholders. Yet, ensuring a fair, transparent, and meaningful participatory process contributes to the complexity. This qualitative study explores how to engage with stakeholders about a COVID-19 AI app following principles of Critical Systems Thinking.

Mapping the flow of knowledge as guidance for ethics implementation in medical AI: A qualitative study.

In response to the COVID-19 crisis, Artificial Intelligence (AI) has been applied to a range of applications in healthcare and public health such as case identification or monitoring of the population. The urgency of the situation should not be to the detriment of considering the ethical implications of such apps. Implementing ethics in medical AI is a complex issue calling for a systems thinking approach engaging diverse representatives of the stakeholders in a consultative process.

Engaging Stakeholders in a Substantive and Transparent Way When Implementing Ethics in Medical AI: A Qualitative Study.

Implementing ethics is a complex problem requiring stakeholders engagement. Engaging in fair and transparent way with stakeholders is part of the complexity. This qualitative study applies principles and techniques of Critical Systems Thinking while engaging with stakeholders in the context of implementing ethics for a COVID-19 AI.

Implementing Ethics in Healthcare AI-Based Applications: A Scoping Review.

A number of Artificial Intelligence (AI) ethics frameworks have been published in the last 6 years in response to the growing concerns posed by the adoption of AI in different sectors, including healthcare. While there is a strong culture of medical ethics in healthcare applications, AI-based Healthcare Applications (AIHA) are challenging the existing ethics and regulatory frameworks. This scoping review explores how ethics frameworks have been implemented in AIHA, how these implementations have been evaluated and whether they have been successful.