The Top 5 Frequently Asked Questions When Deploying Medical Info Conversational AI

Conversational AI delivers an on-demand, compliant and expert interface to communicate with customers at all times. This solution can provide on and off-label support, help companies manage the complexities of product awareness and increase HCPs engagement. Here are the top 5 frequently asked questions from customers looking to deploy medical info conversational AI. 

• Is there any evidence that HCPs are willing to use conversational AI?

Yes, of course. Some clients have experienced a 10X increase in web traffic post-conversational AI integration, and utilization has significantly increased as the healthcare ecosystem has become more virtual. Conversational AI enables HCP self-service and is most successful when manufacturers make their model visible and accessible to customers.

• Can you record metrics from conversational AI?

Yes, there is a great depth and breadth of metrics to be sourced from a conversational AI platform, in aggregate or within individual sessions in real time. Crucially, teams have access to full transcripts, including questions asked and answered, which can re-inform medical and commercial activity.

• What level of validation is required for conversational AI technology?

As conversational AI “speaks” on behalf of manufacturers and brands, it’s imperative that all conversations be accurate, current and compliant. This requires a platform that can meet the rigorous requirements of medical, regulatory, legal, pharmacovigilance and IT teams.

• Is the cost of implementing conversational AI prohibitive for smaller companies? 

Not at all – conversational AI can be applied across lines of business, product portfolios, language and regions accordingly. Swoop works with smaller specialty pharmaceutical companies that are very digital, as well as global manufacturers who leverage the technology alongside human agents.

• If you have a global conversational AI platform, how do you account for differences across countries?

While conversations may differ slightly from market to market, the underlying conversational strategy and training data sets are much the same. This may mean amending, creating or deleting conversations from a global conversation set, which are then translated and re-approved. With Swoop, localized conversation flows are layered onto a global platform to leverage costs and increase accuracy. 

About the Author

Emilie Branch 

Content Manager

Emilie has nearly a decade of experience in marketing, writing, research and strategy for the pharmaceutical industry. She has contributed to top pharmaceutical publications including American Pharmaceutical Review, European Pharmaceutical Review, Pharmaceutical Manufacturing, Manufacturing Chemist, Pharmaceutical Outsourcing, Specialty Chemicals, and Contract Pharma. Prior to joining Swoop/IPM.ai, Emilie served as Strategic Content Manager and Managing Editor for Pharma’s Almanac where she lent her voice to some of the industry’s top players including GSK, MilliporeSigma and ThermoFisher Scientific.