Is life sciences ready for post-pandemic transformation?
Preparing for the next era of clinical development and therapy commercialization, companies must choose: move forward with innovations spurred by the pandemic or retrench into default practices.
Artificial intelligence, machine learning and deep learning: What do they mean?
As the promise of AI continues to shape the way we think about delivering healthcare, it’s typical...
by Watson Health | March 20, 2018
The role of imaging in patient satisfaction
Where Are We Today? Imagine this scenario: At 2 a.m., a community hospital receives a patient with a head injury related...
by Watson Health | January 26, 2018
Helping Montgomery County Juvenile Court improve efficiencies and outcomes
Located in Dayton, Ohio, the Juvenile Court is a division of the Montgomery County, Ohio Court of ...
by Watson Health | January 22, 2018
The rise of the health cloud
In a world of increasingly connected patients and devices, the global healthcare and life sciences community has a ...
by Rebecca Buisan | October 5, 2017
Predictive analytics in value-based healthcare: Forecasting risk, utilization, and outcomes
With the use of big data, it’s possible to build models around predicting future events and ...
by Watson Health | January 12, 2017
The 5 V’s of big data
Read on to discover how the characteristics of big data are relevant to healthcare organizations in particular.
by Anil Jain, MD, FACP | September 17, 2016
With analytics, healthcare can get more from its investments in FHIR
Henry J Feldman, MD, FACP, FHM, FAMIA
Applying machine learning to population health challenges
Irene Dankwa-Mullan, MD, MPH