Quality and Safety
At Penn Medicine, integrated product teams – comprising data scientists, physicians and software engineers, among others – are helping improve AI and machine learning applications.
With frontline teams reporting significantly higher levels of stress, lower levels of morale and engagement, and an increasing propensity to look for other lines of work, organizations need to embrace a new approach to managing caregiver well-being.
While traditionally deeply skeptical of artificial intelligence in clinical settings, in today's fast-changing care delivery landscape many physicians are thinking more proactively about how AI can improve quality and patient experience.
The development of PennOpen Pass, a symptom tracker and exposure alert system, offers a lesson on how challenging factors can focus the mind, enabling development of new tools that meet communities' needs.
Health systems that refuse to see themselves as engineering houses risk falling behind in their ability to properly leverage artificial intelligence and machine learning.
Data from a real-time location system, covering nearly 4.3 million square feet, offers the ability to see patients and staff who may have come into proximity with an infected person.
COVID-19
COVID-19 has revealed a lot about the world we live in. It has reinforced the possibilities that open up when we collaborate and come together, united towards a common cause; in this case, of defeating the spread of SARS-CoV-2 says Atif Al Braiki, CEO, Abu Dhabi Health Data Services LLC (Malaffi).
The COVID-19 pandemic may be viewed as the single largest disruptor in the history of American healthcare. At Geisinger, the crisis has been a catalyst to accelerate digital transformation.
A proposal: Create a Federal Reserve-type structure for supply chain management of protective equipment, powered by distributed ledger technology.
The weaknesses highlighted by the FDA in Urgent/11 demonstrate there are susceptibilities within software platforms that are both identifiable and resolvable.