Improve patient outcomes by predicting which patients will require additional care from care teams
learn moreSpend more time building predictive models that impact your organization and less time data normalizing
learn morePredict preventable hospitalizations, ED over utilization, readmissions, total risk and more
learn morePredict chronic disease onset, medication adherence, member churn, out-of-network utilization and more
learn morePatient match for clinical trials, predict product efficacy, personalize care pathways and more
learn moreIn 2017, Medical Home Network laid out an ambitious plan—use machine learning and artificial intelligence (AI) to more effectively identify high-risk patients that need targeted preventive care.
The ClosedLoop.ai platform is purpose-built to make healthcare-focused data scientists more effective at their jobs. By providing off-the-shelf models for many common healthcare use cases and automating most of the manual processes involved in traditional data science tasks, ClosedLoop allows data scientists to focus on the impactful problems that drive real value for organizations.
ClosedLoop provides a wide array of off-the-shelf predictive models for common healthcare use cases and creates customized models to meet each organizations specific needs.
Get in touch today to see the ClosedLoop Platform in action.
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