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What patient-reported data can tell us about how to improve medication adherence
In a recent PULSE Health Poll, patients share why they do (and don’t) take prescriptions, which ...
Eliminating bias in health data science
It’s time for a renewed commitment to fairness, transparency and equity in data, big data and the algorithms for statistical or artificial intelligence (AI) models
Q&A: Interoperability and COVID-19, Part 2
Dr. Anil Jain describes how the pandemic’s disruption may affect the trajectory of sharing health information and considerations for those healthcare providers looking to invest.
A call for more complete race and ethnicity health data for COVID-19 response
Reported race and ethnicity health data is incomplete, with only 40 out of 50 states including this ...
Q&A: Interoperability and COVID-19, Part 1
How the pandemic response intersects with interoperability and requires healthcare providers to decide if they will defer or double-down on interoperability efforts.
How Long Will a Vaccine Really Take?
A vaccine would be the ultimate weapon against the coronavirus and the best route back to normal life.
The need to flatten the 4 curves of COVID-19
Responding to the pandemic requires us to “flatten the curve” that traces the physical impact of the disease. That's just the first curve. Additional curves are ascending for chronic disease management, mental health and economic health.
The search for life sciences solutions to the COVID-19 crisis
Helping to accelerate CROs that are working tirelessly and providing value to the clinical trial ...
With soaring demand for social services, field-tested technology can help governments scale up
IBM Watson Health can help your agency transform rapidly so they can engage effectively with clients...
The future of clinical trials is now
Given the enormous investment that the life sciences industry makes in drug development and the regulatory complexity of the work, it is not surprising that the adoption of novel approaches has been slow.
The untapped potential of real-world data for life sciences
As life sciences technologies progress, there’s a need to make room for changes in approach like new data resources. Real-world data (RWD) has the potential to transform the development and commercialization of new therapeutics.
Return to the workplace: 5 factors that can help employers decide and deploy
Organizations need information that can help support their ongoing efforts to evaluate conditions ...
The 5 V’s of big data
by Anil Jain, MD, FACP
Telehealth emerges as critical weapon for public health ...
by Peggy O'Brien
Examining the variation in cancer care
by Watson Health