Introducing the first AI engine to predict and avoid unnecessary surgeries.Request Demo
Identify members 10x–40x more likely to have surgery.
Engage members up to 8 months in advance of surgery.
Treat members with Sword's Digital Physical Therapy.
We use machine learning to find at-risk members and save you millions
Time is the key element to being able to impact a course of care for a member. Predict has been built to spot at-risk members before they become surgical candidates and provide them with better, more effective care.
Creating the future of precision healthcare
Our goal is to find the people who need us most and enroll them in a solution that will free them from pain. No surgery, no excess cost or time wasted.
Individual Clinical Support
Why the current solutions don't cut it
Current solutions that use risk models do not result in decreased costs because they lack integration, innovation, advanced engagement and personalized treatment solutions.
Pinpoint solutions are not connected with the end treatments members need
Standard claims analysis lacks the technology needed to find members before its too late
Generalized marketing campaigns do not reach or engage the right members
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Spine (Phila Pa 1976). 2017 Sep 1;42(17):E1016-E1023. doi: 10.1097/BRS.0000000000002065