Sword Predict

Introducing the first AI engine to predict and avoid unnecessary surgeries.

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Solution

What if you could predict surgery before it's needed?

The only end-to-end solution that can avoid unnecessary surgeries and related costs.

Predict
Identify members 10x–40x more likely to have surgery.
Engage
Engage members up to 8 months in advance of surgery.
Treat
Treat members with Sword's Digital Physical Therapy.

employer healthcare cost

$71B

annual MSK surgery cost

50%

of surgeries may be unnecessary

SAVINGS

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.

TECHNOLOGY

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.

Behavioral Economics

Data Science

Proprietary Technology

Individual Clinical Support

The Holy Grail in healthcare is the ability to drive costs down while, at the same time, materially improving clinical outcomes. With Predict, we are able to deliver exactly that, by meaningfully reducing the need for unnecessary surgeries, while providing members with effective pain relief.

Virgílio “V” Bento

Sword CEO, Chairman and Founder

Personalized approach

Engagement, reimagined

Our engagement is delivered by humans, leveraging technology to reach members at a critical point on their journey. High-touch engagement and support provides individuals a chance to recover when and where it’s most convenient to them.

Dynamic Stratified Campaigns

Content is tested and optimized for the individual using Data Science & Behavioral Economics.

Fast Frictionless Onboarding

At-risk members have a specific, streamlined protocol that gets them on track quickly.

Real-Time Engagement Feeds

Real-time data triggers a connection with members during a pain episode.

STATUS QUO

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.