How Do Doctors Feel About Robots in the Exam Room?

Posted by Paul Darling on Wed, Aug 29, 2018

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

Data-rich, technology-based solutions like artificial intelligence are lining up to transform many facets of healthcare, but before we start planning for the transformation that this technology can bring, we might want to do a reality check: Will AI truly be disruptive in an industry that has been slow to adopt new technologies, or will the change be incremental? And even if AI can improve care delivery, what do doctors—and patients—think about inviting AI into the exam room?


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New ZS Research on Forecasting in an Evolving Landscape

Posted by Ram Ramakrishnan on Mon, Jul 09, 2018

This post is the second in a four-part series on how pharmaceutical companies can elevate their forecasting operations.

The pharmaceutical industry is facing an increasingly challenging environment with looming biosimilar launches, tighter access and pricing controls, and saturation within primary care markets. Forecasting as a functional area is affected by these changes, given the range of decisions that forecasts inform.


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AI Across the Pond: Implementing Next Best Actions in Europe

Posted by Zainul Jafferji on Wed, Jun 27, 2018

There’s no shortage of news about how artificial intelligence techniques are helping us engage customers better in healthcare. Many pharmaceutical companies have visions of Amazon-like targeting serving up Netflix-esque recommendations on how to engage customers better with the right channels, content and cadence.


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Pharma Is Ready for Personalized Analytics

Posted by Jérôme Chabrillat on Mon, Jun 04, 2018

A sales rep preparing for her week isn’t thinking: What’s in my sales dashboard? What is my progress towards my call plan? She’s thinking: What are the burning issues in my territory this week? How should I adjust my plan based on the latest events and information that I have? Then she manually navigates her way through dashboards and reports to find these answers.

This slow, manual process isn’t unique to reps. It also applies to HQ functions, and it will only get more difficult over time as new data become available. Accessing the right information at the right time and in the right way is critical to more effective decisions and efficient execution. User-centered design, technology and artificial intelligence can transform this experience with personalized analytics.


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Five Myths About Artificial Intelligence

Posted by Arun Shastri on Mon, May 07, 2018

D. Sahay co-wrote this article with Arun Shastri


This post is the second in a two-part series.  

Presenting at the 2018 PMSA Annual Conference provided us with the opportunity to think through some common myths about AI. Before our presentation, we spoke with colleagues and clients, and settled on the following five persistent myths:


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