Background Applications of artificial intelligence (AI) in health care have garnered much
attention in recent years, but the implementation issues posed by AI have not been substantially …

Background: As the increasing prevalence of type 2 diabetes mellitus has put pressure on
health systems to appropriately manage these patients, there have been a growing number of …

Background The development of new virtual care technologies (including telehealth and
telemedicine) is growing rapidly, leading to a number of challenges related to health policy and …

Digital tools have shown great potential to enhance health services’ capacity to achieve the
goals of the triple aim (enhance patient experience, improve health outcomes, and control or …

Background: Health systems are increasingly looking toward the private sector to provide
digital solutions to address health care demands. Innovation in digital health is largely driven …

Background Management of diabetes through improved glycemic control and risk factor
modification can help prevent long-term complications. Much diabetes management is self-…

Mobile health (mHealth) is the provision of health or medical services enabled by portable
devices. This field is rapidly expanding as the global market for mobile devices grows. …

Background Transitioning nonemergency, ambulatory medical care to virtual visits in light of
the COVID-19 global pandemic has been a massive shift in philosophy and practice that …

Objective: There are concerns that structured electronic documentation systems can limit
expressivity and encourage long and unreadable notes. We assessed the impact of an …

The future role of clinical automation in healthcare is a matter of debate, from commenters
who claim that artificially intelligent clinical entities could relatively easily replace 80% of what …