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Reducing avoidable readmissions  using predictive analytics

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Facing new demands for readmissions reduction and potential penalties, WMCH was looking to better understand what changes were required to adapt to the new healthcare landscape while continuing to deliver quality patient care across the community.


They turned to Philips for help in lowering readmission rates, avoiding CMS penalties, and enhancing care coordination across the community.


Download the full case study

Westchester medical center
Together, we are working with Philips to keep the Hudson Valley healthy through a model that supports innovation and transformation in a value-driven environment.”

Michael D. Israel, President and CEO

Westchester Medical Center Health

Our approach


A collaborative approach is most effective in developing a comprehensive readmissions strategy. Our consultants worked closely with the WMCH staff to help them:


  • Measure readmissions rates
  • Identify root causes of readmissions
  • Generate predictive algorithms to detect high-risk patients
  • Develop a comprehensive readmissions reduction strategy to better manage patient care across the community

The Solution


Our consultants interviewed many stakeholders from WMCH as well as from many of the community care providers. This process provided a strong understanding of the challenges and areas of opportunity. They discussed the patient journey in depth - from pre-treatment education to admission, from treatment and transitions to discharge.


Our data scientists analyzed readmissions data, conducted extensive stakeholder interviews, and applied advanced, predictive analytics and modeling to develop a comprehensive readmissions reduction strategy engaging a broad network of community care providers.

Predictive modeling can help to plan for and manage readmissions risk

predictive modeling diagram



WMCH embraced the recommended readmissions reduction strategy and initiatives. Project results have been effective:


  • WMCH implemented the readmissions reduction strategy
  • Recommendations were employed by the connected community providers – hospitals, long-term care providers, referral physicians, and others
  • WMCH expects to lower 30-day readmissions across the entire care system*


* Long-term results are pending.

Meet our team

Nathan Cohen Director, Solution Analytics

Nathan Cohen  

Director, Solution Analytics
Healthcare Transformation Services, Philips


Nathan leads our solution analytics team which leverages big data and advanced analytics to help hospitals and healthcare systems identify operational and financial performance improvement opportunities. His expertise spans data analytics, healthcare reform, electronic health records, leveraging healthcare technology, telemedicine, connected medical devices, and Lean Six Sigma. Nathan is well-published, is a certified Lean project manager, and holds a BS in biomedical engineering.

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*Results from case studies are not predictive of results in other cases. Results in other cases may vary.

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