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Holiday schedule

Our Patient Service Centers will be closed on Monday, May 27, 2024 for the Memorial Day holiday. Have a healthy, happy holiday.

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Population health

Diagnostic insights designed to improve the health of your community

Our population health innovations give your clinical quality leaders and ordering physicians the tools and encouragement they need to make a difference in the community. We can benchmark your organization's performance against national protocols and best practices that, when used in conjunction with national, deidentified patient data, target gaps in care and identify patients requiring clinical follow-up. Included engagement and wellness programs make patients a partner in their care, making it even easier to reach the quality outcomes everyone desires.

We can help you build the right solution for your community

Your health system has its own strengths, challenges, and needs, just as the population you serve does. By working together, we can create the tools and insight you need to track—and improve—the health of the people you serve.

We partner with leaders on the clinical development and implementation of population health solutions

  • Precision care and population health program
  • FH and other implementation research
  • Convene employers, risk-bearing systems, and ACOs 

  • Population health research and education
  • Living lab for extended care solutions
  • Convene employers, risk-bearing systems, and ACOs 

  • Convene employers, risk-bearing systems, and ACOs 

  • Advanced predictive analytics applied to Quest population health big data
  • Prediction and decision support for population health management
  • 2019 employer population health meeting

  • Collaborative offering for COPD management for health systems
  • Based on NJH's outstanding outcomes in this field

  • Molecular lab testing to improve physicians’ ability to treat patients with breast, prostate, colon, lung, and a variety of other solid tumor cancers
  • Improve understanding of genomic underpinnings of patients’ illnesses
  • Identify biological effect, prevalence, prognostic information, and treatment implications for each oncologic variant