Analytics
Health systems that refuse to see themselves as engineering houses risk falling behind in their ability to properly leverage artificial intelligence and machine learning.
A bold vision for data-driven Latin American health, illustrated by a Peruvian pilot.
Germany will soon be embarking on a national project to assess the digital maturity of its 2,000 hospitals. If it focuses on understanding the impact on clinicians and patients, it can catch up with the world’s digital health leaders, says Armin Scheuer, VP international business development, HIMSS.
As COVID-19 continues to surge in Los Angeles, LANES is enabling free-flowing data insights – medical, behavioral and socioeconomic ─ to close information gaps and improve clinical decision support for better outcomes.
An integrated coaction model, or iCaM, is ideal for addressing complex multispecialty parameters associated with health inequities and COVID-19.
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.
As we have heard repeatedly over the past few months, there is a need to think of managing this pandemic in the same way we prepare for a marathon rather than a sprint, says Dr Charles Alessi, chief clinical officer, HIMSS.
Data science and clinical teams at PCCI, in collaboration with Parkland informaticists, have developed an AI-driven predictive model that predicts for individual COVID-19 exposure risk, based on population density and their proximity to positive cases.
A healthcare system in which stakeholders share, adopt and apply medical knowledge in real time enables improved care, accelerated workflows, streamlined business processes and a better balance of resources with demand.
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.
