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November 5, 2019 • By Chris Hemphill and Patrick Lynch • Filed Under: Analytics, Marketing, White Paper

AI Next Best Actions vs. Traditional CRM [White Paper]

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.

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Previous Post: « Virtua Health to Drive Personalized and Proactive Consumer Engagement with SymphonyRM’s AI-Powered Next Best Actions
Next Post: Product Spotlight: Q&A with SymphonyRM’s VP of Product »

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Recent Posts

  • [Podcast] Edward Marx and Four Pillars of Innovative Leadership
  • [Case Study] Health System Drives 15% Increase in Patient Visits, 380% Annual Wellness Visit Growth
  • Product Spotlight: Q&A with SymphonyRM’s VP of Product
  • AI Next Best Actions vs. Traditional CRM [White Paper]
  • Virtua Health to Drive Personalized and Proactive Consumer Engagement with SymphonyRM’s AI-Powered Next Best Actions

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