The measurement of the patient experience is a global movement that has caught the attention of healthcare reformers. The use of patient experience data to ameliorate healthcare practice is promising, although standardization in what, where, how and whose experience is measured does not yet exist. To truly further the patient experience agenda, there needs to be adoption at the system, regional and local level to help promote, inspire and lead to sustainable change. Caregiver insight into the patient experience should be leveraged to learn what is important to patients and extract more useful data, as they are often present during transitions in care that span across the continuum. Embracing the voice of the patient as part of the process to improve quality, outcomes and experience will no doubt lead to impactful change and better care.

Artificial Intelligence (AI) is the notion of machines mimicking complex cognitive functions usually associated with humans, such as reasoning, predicting, planning, and problem-solving. With constantly growing repositories of data, improving algorithmic sophistication and faster computing resources, AI is becoming increasingly integrated into everyday use. In healthcare, AI represents an opportunity to increase safety, improve quality, and reduce the burden on increasingly overstretched systems. As applications expand, the need for responsible oversight and governance becomes even more important. Artificial intelligence in the delivery of healthcare carries new opportunities and challenges, including the need for greater transparency, the impact AI tools may have on a larger number of patients and families, and potential biases that may be introduced by the way an AI platform was developed and built. This study provides practical guidance in the development and implementation of AI applications in healthcare, with a focus on risk identification, management, and mitigation.

In recent years, the average cost of healthcare-related data breaches increased from approximately US$7 million in 2020 to over US$9 million in 2021. Moreover, breaches in healthcare have been consistently more costly than in other sectors for 11 consecutive years. With the frequency and costs of cyberattacks expected to rise, healthcare organizations must carefully plan for and identify strategies to mitigate cyber-related risks. This paper provides practical guidance for boards, senior leaders and risk managers in the development and implementation of organization-specific cybersecurity measures, with a focus on the identification, mitigation and management of risks.