Technology, Patient Centricity and Disruption Remain Top of Mind for Health System Execs

Posted by Pratap Khedkar on Thu, May 02, 2019

I recently joined more than 4,000 attendees at the Becker's Hospital Review 10th Annual Meeting, held in Chicago in early April, to learn about the most pressing issues in the hospital and health system arena from a deep bench of industry experts. Interesting insights emerged across three of the critical themes that the healthcare industry is contending with, which got me thinking:


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Advancements in Data Science and Big Data Technologies Will Change the Way Clinical Decisions Are Made Today

Posted by Venkat Sethuraman on Wed, Apr 03, 2019

Venkat Sethuraman co-wrote this post with Jessica Rine, Sharma R D and Francine Leech

The 10th-annual Summit for Clinical Operations Executives (SCOPE) took place Feb. 18-21 in Orlando, and it drew more than 3,000 participants from life sciences companies around the world. The conference covered advanced and innovative solutions in clinical trial planning, management and operations.

While the attendees represented different functional areas within clinical operations, they were united around a common question: How can data be used to bring value, provide actionable insights and enhance the clinical trial process?


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Will Artificial Intelligence Usher in the Age of Industrial Medicine?

Posted by Paul Darling on Tue, Jan 22, 2019

This blog post is the final entry in a series on ZS’s 2018 AI in Healthcare study.

The U.S. healthcare system is expensive and wasteful, and is one of the least efficient in the world. More than half of doctors are burned out, and medical errors are the third leading cause of death. And if the healthcare experience doesn’t kill patients, it most definitely frustrates them: Patients in U.S. metropolitan areas reportedly wait an average of 24 days for a doctor’s appointment—up 30% since 2014.


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The Death of Dashboards, and the Promise of Personalized Analytics

Posted by ZS Editors on Mon, Jan 07, 2019

Multiple factors are colliding to encourage the need for personalized analytics. The ever-expanding explosion of data is forcing companies to consider more nimble, automated solutions that simplify the user experience. The need for competitive advantage in a crowded marketplace is inspiring companies to arm reps with sales tools that give them an edge. Reps are increasingly expecting the kind of user experience that they get from consumer applications. The list goes on.

Personalization conjures a future where reps are no longer bombarded with information and expected to draw their own insights. In this future, AI-driven insights come to them as alerts on their mobile devices, personalized to their needs and customers, and delivered at the best possible time. 

But this is pharma. Surely the spreadsheets and dashboards will persist, right?


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Making the Case for a New Analytics Consumption Model

Posted by ZS Editors on Thu, Nov 29, 2018

Industries like retail and technology are transitioning to an AI-driven, personalized approach to surfacing insights to end users, and they’re reaping the benefits. Life sciences companies have the same opportunity to capitalize on the runaway growth in data and rethink the way that analytics are consumed.  

ZS recently partnered with IDC to study how commercial life sciences teams are currently consuming data, and to determine their data and analytics pain points. The study revealed that sales and marketing professionals in life sciences want


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