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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.

The Latest

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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

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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

Close up stock image of a young man seated between computer monitors.

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

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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

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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

Senior man sitting in a chair and looking at the camera

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

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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

A nurse injects vaccine into patient's arm in a doctor's office.

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

Woman with a mask on seated at desk and working on a laptop.

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

Woman wearing scrubs and stethoscope stands in clinical setting, smiling confidently

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

Graphic depicting the Scottish Government delivering benefits to citizens.

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

More Articles

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

Categories

Provider Government Life Sciences Payer Imaging

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