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.
Bridging the data-to-study gap to solve Rare Disease research challenges
The IBM and Graticule partnership for rare disease
by Watson Health | May 24, 2021
How to improve program integrity for Medicaid managed care
State program integrity teams face many challenges when overseeing Medicaid managed care. But if they get data, start ...
by Dennis J. Garvey | May 19, 2021
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 ...
by Debra E. Irwin PhD | May 13, 2021
3 strategies for success with health data platforms
IDC Research Director Jeff Rivkin shares how healthcare payers are investing in new approaches to data and platforms to ...
by Michael Curry | May 7, 2021
5 key learnings about conversational AI for healthcare analytics users
Healthcare payers can apply conversational AI to improve experiences – not just for members and ...
by Bobbi Coluni | May 5, 2021
5 examples of using social determinants to improve population health
Adding social and demographic data to claims and clinical data sets can help healthcare providers, ...
by Brandi Hodor | April 21, 2021
3 ways the ARPA stimulus may help strengthen public health and human services
How public health and health and human services (HHS) agencies can prioritize new COVID-19 relief ...
by David Nelson | April 14, 2021
Shots in the arm
Summary of a FORTUNE Virtual Discussion: What we got wrong. What we got right. Global lessons from the vaccine effort.
by Fortune Contributors | March 24, 2021
Cardiovascular image and data management: a technical and clinical evolution
Healthcare providers need to ask the right questions about their cardiology data infrastructure and ...
by Rebecca Trunnell Hyman | March 22, 2021
Taking medical coding to the next level with Artificial Intelligence
Early results show that artificial intelligence (AI) can help medical coders find accurate codes for...
by Mary Varghese Presti | March 19, 2021
Studies reveal how AI-infused clinical decision support may change medicine – for the better
As trust in AI evolves – and adoption increases – the benefits are becoming tangible
by Courtney Holmes | March 17, 2021
How a “Cloud First” approach helped one agency deliver benefits to its citizens
Designed with the people of Scotland, a new agency establishes a modern, secured and flexible ...
by Dave Liederbach | March 12, 2021
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