1,070-bed safety-net hospital in New Jersey with integrated long-term and behavioral health
Bergen New Bridge is a 1,070-bed nonprofit hospital in Paramus, NJ, affiliated with Rutgers and the fourth-largest publicly owned hospital in the US. The tech stack centers on Epic Systems for clinical workflows, with BI tools (Tableau, Power BI, Looker) and data infrastructure (Snowplow, Rhapsody, InterSystems HL7/FHIR) to surface operational metrics—a configuration built to address the core pain-point pattern visible in projects and challenges: cost accounting, staffing efficiency, and data accuracy. Hiring is heavily clinical (112 of 137 active roles), with accelerating velocity and notable gaps in engineering (7 roles) and data (1 role), suggesting the organization is stretched operationally and relying on incumbent vendors for modernization.
Notable leadership hires: Director of Nursing, Medical Assistant Lead
Bergen New Bridge Medical Center operates a comprehensive safety-net health system across Bergen County, NJ, with a 1,070-bed main hospital, licensed nursing home, and satellite clinics in Bergenfield, Englewood, and Paterson. Core service lines span acute and ambulatory care, emergency medicine, behavioral health, addiction treatment, long-term care with secure dementia units, hospice, and primary care through CareRite Now locations in supermarkets. The organization is in-network with all major NJ commercial insurers (covering 99.91% of NJ residents), part of the VA Community Care Network, and recognized as an LGBTQ+ Healthcare Equality Leader. As a nonprofit, Bergen New Bridge serves as a safety-net facility for the region.
Epic Systems is the primary clinical platform. HL7/FHIR standards and Rhapsody for interoperability; InterSystems for data repository; Availity for insurance/payer connectivity.
Tableau, Power BI, and Looker for business intelligence; Snowplow for data collection; Doppler for secrets management. Stack reflects multi-tool BI environment across departments.
Bergen New Bridge Medical Center's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.