ClosedLoop’s end-to-end data science platform combines leading-edge AI tools and automation capabilities with healthcare-specific content, making it easy for HCOs to transform their data into accurate and explainable predictive models.
The impact of value-based care is driving clinical teams to find new ways to systematically address the wide range of preventive and chronic care needs that exist in their patient populations.
Healthcare spending in the U.S. topped $3.8 trillion in 2019 and is projected to reach $6.2 trillion - 19.7% of GDP - by 2028. As costs continue their upward march, health plans are using innovations in benefits, health services, consumer engagement, and value-based contracts to bend the cost curve and improve the health of their members.
Advances in AI and machine learning have merged with novel, real-world data and given pharma & life science companies a new way to target new therapies, maximize the value of in-market products, and forge partnerships with payers and ACOs to drive value-based outcomes.
Digital health is transforming care delivery and management, providing consumers with more options than ever before. To improve outcomes, these innovative health solutions are leveraging artificial intelligence to ingest vast amounts of data and enable intelligent feedback loops.
ClosedLoop’s platform easily integrates new and unique data to enhance the accuracy of its comprehensive risk profiles and the impact of your intervention programs.
No “Black Box” here. ClosedLoop’s Contributing Factors help you understand the main drivers underneath each comprehensive risk profile.
ClosedLoop’s enterprise healthcare feature store includes predictive model templates for common use cases that are fully editable and extensible to meet your needs.
Easily create predictions for a variety of outcomes in just a few clicks, or use the API and be up and running in under an hour.
No need for new systems or screens. Your prediction results and comprehensive risk profiles are easily integrated into existing systems and workflows.
Explore the power of your data without a large up-front investment of time or money. Ask about ClosedLoop’s 24-hour zero-risk pilot today.
ClosedLoop is an exciting and important partner in our strategy to develop timely predictive insights through operationalized AI solutions that will drive member engagement and better health outcomes.
Our partnership with ClosedLoop adds the depth of AI to more accurately identify those patients who are most likely to benefit from our primary care interventions as well to evaluate these interventions and make more relevant and timely modifications to improve their effectiveness.
We are extremely impressed with the predictive modeling capabilities the ClosedLoop platform has delivered. The ClosedLoop team has exceeded all defined goals and benchmarks set to date and we anticipate a substantial return on our investment as these predictions are operationally deployed.
We’re able to store and operationalize analytics directly from ClosedLoop. That’s driving real value—it’s accelerated the implementation of key insights into clinical workflows and it allows us to more easily account for all of the different factors that influence intervention decisions.
At SWHR, our patient-centered network is committed to innovative care models that are value-based, high-quality, and data-driven. Because of our partnership with ClosedLoop, we’re better able to identify and act on the most impactful opportunities for our physician partners to improve patient results and reduce unnecessary costs.
We compared the ClosedLoop predicted spend to the spend predicted by a leading rules-based risk prediction engine and found that 75% of the time ClosedLoop was closer, and in most cases significantly closer, to the actual spend.
Using predictive analytics to supplement clinician-driven referrals has helped me identify more patients more quickly for complex case management. I have greater assurance knowing this tool is helping me find patients most in need of my care.
ClosedLoop stood out from other AI firms in that they offered not only a usable, flexible analytics platform but extensive healthcare expertise.