Download your free eBook to learn how Bristol Myers Squibb can maximize the impact of personalized patient engagement and support through artificial intelligence (AI) and patient-level intent data with AllazoHealth.

Download Your Free eBook Now

The Immunology and CV franchises are critical for the strengthening of Bristol Myers Squibb’s foundation for portfolio renewal and long-term growth, and your market leading approach in supporting patients on Eliquis, Orencia, and other launch brands have aided in this.

In order to extend this leadership, you need a data-driven approach that can aid you in identifying how to engage patients on their terms. Deliver superior patient engagement by revolutionizing your 360 Support program with AI to create a uniquely individualized experience for each and every patient.

Download your complimentary eBook from AllazoHealth to discover how you can more effectively predict, personalize, and maximize your marketing and engagement strategies:

Learn how The New Healthcare Economy is redefining everything from patient acquisition to therapy initiation and adherence, and what it could mean for Bristol Myers Squibb
Discover how pharma marketers are realizing their omni-channel marketing objectives with AI-driven predictive analytics and personalization at the individual patient level
See firsthand how a leading pharmaceutical company leveraged AI to boost first fill rates by nearly 10% and increased its patients’ length of therapy by nearly 15%

Fill out the form to receive your eBook

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Related resources

Pharma Marketers Need AI Now Podcast

February 22, 2023 | William Grambley

With AI, pharma marketers can truly personalize campaigns, increase therapy initiation and medication adherence, and deliver efficiency at scale. For more, listen to this Pharma Marketing podcast.

Listen to podcast

“[AllazoHealth] provides a unique service that no one else offers. I could tell that the team cared about our challenges and wanted to do whatever they could to help, even working with our budget and looking for ways they could streamline the process to help us out.”

– Stephenie Atkins Product Director
Janssen

“[The AllazoHealth AI predicts] customers in our database who haven’t picked up the drug – they’re not considered patients yet. We run AI to analyze the behavior of these people. Would they react if we sent them a “touchpoint” via SMS, phone call, or email? Also at what time of day would they like to receive information? What’s the content they’d like to receive? AI figures out the right combination of those factors.”

– Eduardo Cornejo Former Sr Director Digital Innovation and Products
Sanofi

“We chose AllazoHealth because of the predictive analytics. Most solution providers used market segmentation techniques which created hundreds of different patient groupings that was really specific to marketing outreaches and campaigns for engagement. While the groups may have shared similar behaviors and socioeconomic factors – what we wanted was the individual needs of the patient and their risks so that we could coach each patient individually based on their own set of needs. After evaluating several solution variations, we moved forward with AllazoHealth as a partner because their solution could provide us with a proactive approach to patient management and ultimately improving their health outcomes through treatment adherence. Through validation we found the solution set reliable with high repeatability. Our programs now create greater value for our manufacturer partners but more importantly greater impact to the patients we serve every day.”

– Dale Hanna Former Director, Product Management
AmerisourceBergen

“[AllazoHealth] provides a unique service that no one else offers. I could tell that the team cared about our challenges and wanted to do whatever they could to help, even working with our budget and looking for ways they could streamline the process to help us out.”

– Stephenie Atkins Product Director
Janssen

“[The AllazoHealth AI predicts] customers in our database who haven’t picked up the drug – they’re not considered patients yet. We run AI to analyze the behavior of these people. Would they react if we sent them a “touchpoint” via SMS, phone call, or email? Also at what time of day would they like to receive information? What’s the content they’d like to receive? AI figures out the right combination of those factors.”

– Eduardo Cornejo Former Sr Director Digital Innovation and Products
Sanofi

“We chose AllazoHealth because of the predictive analytics. Most solution providers used market segmentation techniques which created hundreds of different patient groupings that was really specific to marketing outreaches and campaigns for engagement. While the groups may have shared similar behaviors and socioeconomic factors – what we wanted was the individual needs of the patient and their risks so that we could coach each patient individually based on their own set of needs. After evaluating several solution variations, we moved forward with AllazoHealth as a partner because their solution could provide us with a proactive approach to patient management and ultimately improving their health outcomes through treatment adherence. Through validation we found the solution set reliable with high repeatability. Our programs now create greater value for our manufacturer partners but more importantly greater impact to the patients we serve every day.”

– Dale Hanna Former Director, Product Management
AmerisourceBergen

“[AllazoHealth] provides a unique service that no one else offers. I could tell that the team cared about our challenges and wanted to do whatever they could to help, even working with our budget and looking for ways they could streamline the process to help us out.”

– Stephenie Atkins Product Director
Janssen