Headlines about AI outperforming doctors or broad sweeping “Future of AI in Healthcare” articles provide little practical insights for marketers, population health experts, and care managers trying to engage patients in their care. This paper goes beyond the “AI hype” to provide a real-world look at how AI can be used to impact outreach and patient adoption for a bariatric campaign.
What’s important is whether AI can help professionals outperform and save time on work they’re doing today. We already have AI sifting through massive datasets to suggest movies, shows, and songs, and we stick with them because they’ve proven to be reliable and convenient. For healthcare, the stakes are much higher. AI has to outperform traditional CRM or EMR filters and help with the following tasks:
- Prioritize outreach on specific conditions to people who have the greatest need or risk
- Improve the patient experience by matching outreach to capacity to avoid overflows & lag times
- Account for metrics & incentives health systems target such as value-based thresholds, Annual Wellness Visits, and care gap closures
This paper compares which approach is better for forming a bariatrics campaign: AI vs Traditional CRM, while also explaining what AI does and what to look for when making AI-related decisions.
Chris Hemphill leads market facing data science projects for SymphonyRM. By combining experience in operations, sales, and marketing, Chris's goal is to improve the quality of decisions that health systems make in order to better patient care.
In addition to duties at SymphonyRM, Chris speaks and teaches on data science regularly.
