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Changing Medicare scene has implications for real-world data
Changing Medicare scene has implications for real-world data – and every initiative to improve ...
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.
Models, machine learning and Medicaid
At IBM Watson Health, we have a dedicated team of researchers using our real-world data and technology to uncover and investigate trends that could benefit government-supported programs.
Bridging the data-to-study gap to solve Rare Disease research challenges
The IBM and Graticule partnership for rare disease
Q&A: Advantages of external control arm studies
Applying real-world data to external control arm studies for regulatory submissions can help life sciences companies bring treatments to patients.
The responsible, ethical use of real-world data
In the race to understand COVID-19, we see discovery occurring at an accelerated pace with the need – not only for evidence from clinical trials – but also for insights from real-world, near real-time care of many patients across many settings. ...
Using real-world data to build a learning healthcare system
With more diverse real-world data (RWD), life sciences companies recognize the value of using the right data framework, asking the right questions and engaging expertise.