Healthcare data scientists must confront a host of challenges that do not exist in other industries. The fact that many data scientists come to healthcare from non-healthcare backgrounds means they will not be familiar with the subtle-yet-vital details waiting for them.
Healthcare is rapidly evolving toward a value-based system, one centered on individuals, prevention, and the management of chronic disease.
Download the one-pager for an overview of KLAS's 2020 assessment of ClosedLoop among healthcare-focused AI vendors and insights into the aspects that drove ClosedLoop's selection as a top performer.
The Harvard Business School through its Kraft Precision Medicine Accelerator recently named ClosedLoop.ai as one of the fastest accelerating companies in its Real World Data Analytics Landscapes report.
ClosedLoop’s Chief Health Analytics Officer, Carol McCall, spoke at the AWS Healthcare & Life Sciences Web Day on July 9th. Carol presented on real world deployments of AI and predictive analytics driving tangible ROI in healthcare today.
In this talk, Dave DeCaprio, CTO and co-founder of ClosedLoop will discuss some of the challenges to achieving the promise of machine learning in healthcare, along with some practical approaches he has used to overcome these challenges during his 15 years of data science work in the industry.
Chicago-Based Medical Home Network (MHN) is transforming healthcare for Medicaid patients through their Accountable Care Organization, a unique collaboration of ten Federally Qualified Health Centers and three hospital systems and their physician practices.
COVID-19 is an acute respiratory disease that has been classified as a pandemic by the World Health Organization. Information regarding this particular disease is limited, however, it is known to have high mortality rates, particularly among individuals with preexisting medical conditions.
Through an innovative new program, the Genesis Physicians Group is leveraging the power of AI to improve the efficiency and effectiveness of caring for more than 25,000 Medicaid patients—the community’s most vulnerable and underserved population.
Chronic Kidney Disease (CKD) is a complex, clinically dynamic, and progressive condition. Managing it successfully demands close surveillance and monitoring and that clinicians balance CKD’s clinical, medical, and psychological effects while simultaneously avoiding its excess of potential adverse events.
During the COVID-19 crisis, every organization is challenged with keeping their members safe and out of the hospital. How are the most vulnerable populations faring and how can healthcare organizations effectively safeguard their health?
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.
ClosedLoop’s data science platform combines leading-edge AI tools and automation capabilities with healthcare specific content and expertise enabling healthcare data scientists to build accurate and explainable predictive models with speed and ease.