Traditionally, this has been achieved by identifying already expensive populations rather than those that may become expensive in the future. Because of this, efforts are driven towards members who have already experienced deterioration of health rather than focusing on preventable events and more impactable members.
Diagnostic Robotics AI Models
Identify outreach
with the greatest impact
Enable organizations
to drive targeted and effective care journeys
Reduce costs
through vastly improved outcomes
Increase Cost Savings
For Payers
Diagnostic Robotics works with various leading regional and national health plans to seamlessly integrate member and plan information with our large medical datasets to facilitate better care management outreach.
Using AI and nuanced medical definitions, our automated predictions models leverage diagnosis and procedural data points to generate novel, in order to identify impactable members who are likely beyond the point of preventable care.
60B+
Claims
4B+
ER visits
76B+
EMR records
30B+
Models
These models segment clusters of future-risk members based on historical utilization patterns, comorbidities, and other factors to equip your team to engage with members effectively and match appropriate clinical programs.
Our customers not only see a reduction in avoidable events, but also
Improved health outcomes for their members
(24.9% reduction in AED event rate)
Significant reductions in cost of care
($1,600 PMPM/$19,200 PMPY reduction)
improved ROI
(2.9x ROI)
For Providers
We also work with Providers who can enhance population health management strategies and unlock the promise of value-based care with our AI models.
Our proprietary AI algorithms proactively identify patients with risk that is preventable and match them with high-impact, personalized interventions to improve care outcomes and reduce the total cost of care.
