The Keys to Pharma’s AI Success Include ‘Disruptive Collaborations’ and a Willingness to Innovate and Iterate

Posted by Pratap Khedkar on Wed, Jan 24, 2018

This is the final post in a three-part series on artificial intelligence in healthcare. 

Of all of the marketplace dynamics and advances currently posing a threat to pharma’s traditional methods and models, artificial intelligence and advanced data science are causing their fair share of consternation. I recently addressed this issue with my colleague John Piccone, a ZS principal and advanced data science expert who previously led IBM Watson Health’s life sciences offerings, and he succinctly stated the commercial transformation challenge that lies ahead: “Pharma’s role is going to change from educating people to educating algorithms.” How can pharma get there? What steps can companies start taking now to adapt? John has some ideas.


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AI Will Usher in ‘Dramatic’ Changes to Pharma’s Commercial Model

Posted by Pratap Khedkar on Thu, Jan 18, 2018

This is the second post in a three-part series on artificial intelligence in healthcare. 

Artificial intelligence is poised to revolutionize the healthcare ecosystem. Providers are starting to apply AI in an effort to leverage patient data, therapy information and standards of care to make better treatment decisions. Payers are experimenting with AI to help with pre-authorization and claims adjudication. Whether or not the pharma industry is ready, AI is changing the way that pharma’s customers and stakeholders do business, thereby necessitating changes to pharma’s own commercial practices. And, according to my colleague John Piccone, those changes will be “dramatic.”


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Is AI in Pharma Ready to Move From Hype to Hope?

Posted by Pratap Khedkar on Thu, Jan 11, 2018

This is the first post in a three-part series on artificial intelligence in healthcare. 

We encounter artificial intelligence platforms outside of healthcare on a regular basis, like when we ask Siri a question or view Netflix’s list of suggested films. However, within healthcare, and in the pharmaceutical industry specifically, AI has yet to live up to that level of success. In the near future, will AI become embedded in pharma R&D? Will it enable treatment decisions to be more automated—and more accurate? I recently called my colleague John Piccone, a ZS principal and advanced data science expert who previously led IBM Watson Health’s life sciences offerings, to discuss AI’s use both within pharma and throughout the healthcare ecosystem.


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