Recommendation Engines for Healthcare Consumers are Here

A key component of creating healthcare consumers who feel empowered to make decisions that will bring them the most value, is reaching them with relevant, personalized information at just the right time.

Real-time predictive guidance technology gives us unprecedented new ways to reach people at the right place and time. Fueled by big data and driven by predictive analytics, these recommendation engines are personal, proactive, and could change the way people make decisions about their care.

We see these technologies widely used and accepted by consumers in the retail world, where people have come to expect a “curated and highly personalized” shopping experience (think: Amazon recommendations). Soon, people will come to expect the same from their healthcare services.

Other companies, like Netflix, Spotify, Facebook and Trunk Club are already using data and predictive analytics to creatively recommend produces and servicesand Evive has introduced the concept in healthcare. Based on purchasing patterns within healthcare, office visit diagnoses, imaging and laboratory diagnostic services and medications, Evive predicts the likelihood of impending back surgery and recommends an expert medical opinion service to the individual.

And its not just purchasing data, it’s data that provides contextual relevance to a purchase recommendation. Take Skymosity, a weather marketing platform that has boosted Brooks Running Company’s email conversation rates by 61% through the use of their weather-based, hyper-targeted email triggers. The same technology can be used in healthcare: Evive offers a text messaging program that uses local weather data to alert people when forecast changes could trigger conditions like migraines or pollen allergy attacks, so they can prepare accordingly and, hopefully, avoid having to seek healthcare services for these potentially avoidable cases.

Another practical example of the contextual recommendation and guidance technology is Tanger Outlets’ location-based content and deal offerings, where shoppers are notified on their smartphones of deals at stores within close proximity. Location-based recommendations are also at work with EviveNowwhere a patient checking into an ER for a non-emergent case receives a text message suggesting other nearby facilities, like urgent cares, that may be more affordable and have shorter wait times or one checking into an orthopedics office gets recommendations on imaging facilities that are high quality and lower cost, for discussion with their doctor.

Recommendation engines for healthcare are here. Do you have one to recommend the right provider, right place, right care, or right program to your employees?

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