Category Archives

Archive of posts published in the category: Pharma
Feb
28

AI Enhances Clinical Trial Enrollment

Clinical trials allow pharmaceutical companies to bring new drugs and therapies to market by testing treatment options on a select group of patients in a controlled setting before they are approved. They are the first phase of a lengthy and expensive process of…

Feb
23

AI is Changing Clinical Trial Enrollment

Clinical trials represent the forefront of medicine bringing new treatment options to patients and caregivers. Unfortunately, close to 90% of clinical trials fail to meet recruitment goals. This results in expensive delays that often result in early trial termination, or simply the inability…

Feb
18

AI Solving Pharma Challenges

CHALLENGES FACED BY THE PHARMA INDUSTRY For Big Data transformation in the pharmaceutical industry to succeed, organizations must transform to overcome the challenges they face in an ever-changing technological environment. Healthcare’s biggest data challenge is its historical siloed structure resulting from decade-old legacy systems. These disparate…

Feb
13

Applying AI with Connected Pharma

Artificial Intelligence presents the pharmaceutical industry with the opportunity to solve problems previously unsolvable with simple data analysis. Through integrated intelligence, AI is able to perform specific analysis faster and more accurately thereby reducing costs while increasing productivity. AI will increase the impact of Connected Pharma contributing to economic growth of…

Feb
8

AI for Precision Medicine

Recent scientific and technological advances coupled with an aging population, expansion in the emerging markets and an exponential increase in mainstream adoption of digital technologies have set the ball rolling for the pharma industry, providing it with a renewed platform to revive its pipeline. With an explosion…

Jun
19

AI the Next Frontier for Connected Pharma

Big Data has consistently demonstrated the ability to improve customer-facing functions such as sales and marketing across many industries. As data engineers continue to explore the vast potential of Big Data Analytics and AI, healthcare organizations can begin to target and address more healthcare specific challenges. Big pharma has long…

Mar
22

Improve patient outcomes and lower operational costs through data archiving

Healthcare organizations that are heavily reliant on decades-old legacy systems are desperately trying to keep up with local and federal mandated patient data requirements, while at the same time trying to improve the quality of care and contain costs.  In the current environment, data…

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