AI calibrates drug advertising for stronger sales, better outcomes

A healthcare AI startup has introduced software that will let drugmakers market their wares directly to individual consumers without uncovering anyone’s actual identity.

The Manhattan company, DeepIntent, says its new product taps machine learning to correlate deidentified medical data with consumer info from marketing firms.

AI algorithms takes it from there in a HIPAA-compliant way, suggesting candidates to receive online ads for any number of particular prescriptions.

The marketing technique will be familiar to anyone who’s shopped for something online and then gotten barraged with ads for products in the same category.

However, according to DeepIntent’s co-founder and CEO, Christopher Paquette, the healthcare-specific software will eventually differentiate itself by yielding positive clinical outcomes and showing that it did so.

“We don’t do advertising for advertising’s sake,” Paquette tells AI reporter Tiernan Ray of ZDNet. “We do it to get info to patients to make more informed decisions.”

Paquette, a former head of data science at Memorial Sloan Kettering Cancer Center, says DeepIntent has already made clients of seven players in Big Pharma’s top 10.   

Get the rest from ZDNet:

Dave Pearson

Dave P. has worked in journalism, marketing and public relations for more than 30 years, frequently concentrating on hospitals, healthcare technology and Catholic communications. He has also specialized in fundraising communications, ghostwriting for CEOs of local, national and global charities, nonprofits and foundations.

Around the web

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”