The Future of Data in Pharma: Data Privacy, Data Ownership and Going Beyond the Pill

Posted by ZS Editors on Wed, Feb 12, 2020

Remember when big data was big news? Now all we hear about is AI, but that hasn’t made data any less relevant. Data is the fuel that feeds the business and the future of pharma, let alone AI. The world is becoming more and more data dependent while slow, tectonic shifts are under way across healthcare: There’s an increasing focus on the value of medical care over volume. The patient experience is becoming a higher priority. Data privacy and data ownership concerns are constantly threatening to upend the status quo with regulations that could be hugely disruptive.


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Speaker Programs and Congresses Can Be Data-Driven Too

Posted by Ankita Praharaj on Mon, Feb 03, 2020

Kumail Fazal co-wrote this blog post with Ankita Praharaj 

Speaker programs and congresses are a key component of the promotional mix strategy for pharmaceutical companies and are used to educate HCPs about the latest products, product benefits, and the best ways to use them. Every year, organizations set aside considerable funds for executing speaker programs and congresses.


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Boost Patient Recruitment With Data-Centric Trial Planning

Posted by Venkat Sethuraman on Fri, Aug 16, 2019

Denise N. Bronner, Gaurav A. Singh and Ray Zhong co-wrote this blog post with Venkat Sethuraman

A common struggle for pharmaceutical companies is poor patient recruitment for clinical trials. As a consequence, 80% of clinical trials fail to meet their enrollment goals, suffer delayed timelines and absorb skyrocketing R&D costs. Ultimately, the patient suffers from delays in the release of needed therapies. Currently, pharmaceutical companies are partnering with trial matching startups to enhance clinical study design, matching and data collection. With analytics and platforms, pharmaceutical companies are beginning to streamline the clinical trial process in hopes of increasing new entrants to the market.


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Want Reliable Advice? Consider Machines

Posted by Arun Shastri on Mon, Jun 17, 2019

An old story about Jeff Bezos that I read years ago resurfaced in my memory when I learned that Amazon just abruptly changed course and decided to shutter its restaurant delivery business. According to the teller of this tale, Bezos once visited Basecamp to give a talk and take questions from employees there. At one point, Bezos described the kind of people who are “right a lot.” The smartest people, he said, are always revising their thinking. They might think one thing today that they’ll readily contradict tomorrow because they have new data to support a new opinion.

Other luminaries have shared this opinion. Science fiction author Vernor Vinge, in his book Fire Upon the Deep, wrote “Intelligence is the handmaiden of flexibility and change.” Salesforce CEO Marc Benioff was quoted as saying, “You must always be able to predict what's next and then have the flexibility to evolve.”

I wholeheartedly agree with this line of reasoning, and I see direct connections to machine learning.


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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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