RWJBarnabas Health & Rutgers Health

West Orange, New Jersey (operations) and New Brunswick, New Jersey (academic)  All United States companies → — Founded 2016
Clinical AI Platform Healthcare Conglomerate
Critical Care Emergency Medicine Hospital Medicine
Clinical Decision Support & Reference Triage & ER/ICU AI
N/A (Large integrated health system)

Products

Clinical Deterioration Index (CDI)
RWJBarnabas Health & Rutgers Health
Clinical Decision Support & Reference
The Clinical Deterioration Index (CDI) is an AI algorithm from RWJBarnabas Health and Rutgers Health that analyzes EMR data to detect early signs of patient deterioration, enabling timely interventions and reducing mortality. It integrates with existing clinical workflows, providing real-time risk scores and alerts to improve patient safety and outcomes.

See all 1 product →

About RWJBarnabas Health & Rutgers Health

RWJBarnabas Health and Rutgers Health have formed New Jersey’s largest academic health system, dedicated to high-quality patient care, leading-edge research, and world-class health and medical education. This collaboration aims to advance health science innovation, expand Centers of Excellence across various clinical specialties, and increase accessibility to primary and specialty physicians. The partnership also focuses on addressing health inequities and eliminating health disparities within New Jersey and targeted global communities. They are committed to improving patient outcomes, reducing clinician burden, enhancing professional fulfillment, streamlining operations, and delivering long-term value through their initiatives.

The system has a strong emphasis on integrating artificial intelligence (AI) into healthcare through its AI Center of Excellence. This center is a systemwide initiative dedicated to the responsible development and integration of AI, combining operational insight, clinical and technical expertise, and academic rigor. Their AI efforts include piloting ambient AI tools for clinical documentation to allow clinicians to focus more on patient interaction, and using AI in cardiology to identify threats sooner, analyze images, boost safety, simplify care, and improve office visits. The partnership also involves a significant investment in education and research, including the recruitment of leading clinical and academic faculty and expanding access to clinical trials.

Focus Areas

patient care medical education clinical research health equity artificial intelligence predictive analytics ambient AI surgical site infection detection extended reality for surgery cardiovascular health cancer care

Business Intelligence

TechnologyEpic (integrated EHR), AI-powered predictive clinical workflow platform (Wellsheet), cloud-native, edge computing, AI operating system (implied through various AI initiatives)

What Physicians Need to Know

AI Center of Excellence
A systemwide initiative dedicated to the responsible development and integration of AI in healthcare, focusing on improving patient outcomes, reducing clinician burden, enhancing professional fulfillment, streamlining operations, and delivering long-term value.
Predictive Analytics
Development and deployment of predictive AI algorithms like the Clinical Deterioration Index (CDI) to analyze EMR data for early identification of patient decline, leading to earlier interventions and improved patient safety.
Ambient AI for Documentation
Piloting ambient AI tools that use passive voice capture of provider-patient conversations to generate structured clinical notes, aiming to reduce documentation burden and allow clinicians to focus more on patient interaction.
Surgical Site Infection (SSI) Detection
Piloting an AI tool using operating room cameras and patient-submitted images via an app to detect early signs of surgical site infections, providing feedback to surgeons and aiming for prompt treatment and better outcomes.
Cardiovascular AI
Utilizing AI for earlier detection of heart threats, analysis of cardiac images (radiomics), boosting safety in diagnosis (e.g., detecting aortic stenosis), simplifying care, and improving office visits by automating documentation.
Biomedical Informatics & Health AI
Establishment of the Center for Biomedical Informatics and Health Artificial Intelligence (BMIHAI) to unite and expand strengths across various biomedical informatics fields, with a special focus on advancing health AI for personalized, data-driven care.
Genomic Biomarker Analysis
Development of IntelliGenes, a software combining AI and machine learning to measure the significance of specific genomic biomarkers for predicting diseases, designed for use by a wide range of users, including non-experts.
Physician Tip

RWJBarnabas Health & Rutgers Health are actively integrating AI to directly benefit physicians by reducing administrative burden through ambient AI for documentation, providing predictive insights for earlier patient intervention (e.g., Clinical Deterioration Index), and enhancing diagnostic accuracy in specialties like cardiology. Their collaborative model, involving clinicians in the co-development and refinement of AI tools, ensures clinical relevance and usability. Physicians can expect AI to augment their work, allowing more focus on patient interaction and fostering a proactive approach to patient care.

The organization emphasizes a collaborative infrastructure, bringing together departments across engineering, informatics, and medicine, and partnering closely with the Rutgers Department of Computer Science for algorithm development. They are also implementing Epic, an integrated electronic health record (EHR) system with supporting revenue cycle, data analytics, and consumer-facing digital capabilities, which serves as a key component for their unified operating model and data utilization for AI initiatives. This integrated approach facilitates the seamless testing, validation, and refinement of AI tools within real clinical workflows.

Products by RWJBarnabas Health & Rutgers Health

1 product in the directory

Clinical Deterioration Index (CDI)
RWJBarnabas Health & Rutgers Health
Clinical Decision Support & Reference
The Clinical Deterioration Index (CDI) is an AI algorithm from RWJBarnabas Health and Rutgers Health that analyzes EMR data to detect early signs of patient deterioration, enabling timely interventions and reducing mortality. It integrates with existing clinical workflows, providing real-time risk scores and alerts to improve patient safety and outcomes.

What the Web Says

RWJBarnabas Health & Rutgers Health is a large academic health system in New Jersey, formed through a clinical affiliation in 2018. They are recognized for their digital health advancements and commitment to patient care, research, and medical education. The organization has also been recognized for its oncology programs. While many employees praise the supportive environment and benefits, some express concerns about management and staffing.

Overall: Mixed

Strengths

  • Great health insurance and benefits.
  • Supportive work environment and good coworkers.
  • Opportunities for learning and professional growth.
  • Commitment to excellent patient care and patient safety.
  • Emphasis on teamwork and diversity.
  • Advancements in digital health and AI for patient care.

Limitations

  • Management issues and lack of understanding from higher management.
  • Understaffing in some areas.
  • Pay can be low for certain positions compared to industry norms.
  • Concerns about staff safety in some units.
  • Some negative patient experiences reported on Reddit, particularly regarding emergency room wait times and psychiatric care.
  • Lack of PTO time.

Based on reviews from: Indeed.com, Becker's Hospital Review, Reddit, Rutgers Health, Healthgrades, AHA, Capterra

Last updated: 2026-09-19

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Press & Coverage

Lakewood Alerts
Rutgers and RWJBarnabas Health Launch New AI-Powered Healthcare Innovation Hub
Rutgers University and RWJBarnabas Health announced the launch of a new technology and healthcare innovation hub powered by Amazon Web Services. This hub will bring together students, physicians, researchers, engineers, and technology experts to develop new tools for improving medical education, clinical care, and healthcare delivery across New Jersey.
2026-09
ICT&health
Rutgers and RWJBarnabas launch health innovation hub | ICT&health
Rutgers University and RWJBarnabas Health are launching a new healthcare innovation hub with Amazon Web Services (AWS) to translate clinical problems into technology prototypes. The hub aims to establish a permanent route from clinical need to development and implementation, rather than creating another standalone AI laboratory.
2026-09
RWJBarnabas Health
Rutgers and RWJBarnabas Health to Launch Innovation Hub, Powered by Amazon Web Services
Rutgers University and RWJBarnabas Health announced the launch of the Rutgers/RWJBarnabas Health Innovation Hub, powered by Amazon Web Services. This collaboration will offer opportunities for students in various fields to work on technology-driven discovery and accelerate advancements in medical education, clinical innovation, and patient care.
2026-09
Rutgers University
RWJBarnabas Health and Rutgers Researchers Find AI Tool Helps Detect Patients at Risk Earlier
Researchers from RWJBarnabas Health and Rutgers Robert Wood Johnson Medical School found that an AI-enabled early warning system, the Epic Deterioration Index (EDI), helped identify hospitalized patients at risk of rapid clinical decline sooner, leading to an 18% reduction in in-hospital deaths among high-risk patients.
2026-07
Becker's Hospital Review
RWJBarnabas Health AI system cuts patient deaths by 18%: Study
A study by RWJBarnabas Health and Rutgers Robert Wood Johnson Medical School found that the Epic Deterioration Index (EDI), an AI-enabled tool, reduced patient deaths by 18% by identifying high-risk patients earlier. The system analyzes electronic health record data and alerts rapid response teams.
2026-07
RWJBarnabas Health
RWJBarnabas Health Announces $854,000 Investment to Upgrade Monmouth Family Health Center
RWJBarnabas Health announced an $854,000 investment to upgrade the Monmouth Family Health Center in Long Branch. This funding, from State Appropriations, will support significant improvements to equipment and technology at the Federally Qualified Health Center.
2026-06
RWJBarnabas Health
RWJBarnabas Health Names Dr. David Silverman Senior Vice President and Chief Pharmacy Officer
RWJBarnabas Health has appointed David Silverman, PharmD, BCPS, BCCCP, as Senior Vice President and Chief Pharmacy Officer, effective September 14, 2026. In this role, Dr. Silverman will lead the systemwide strategic direction for pharmacy services, focusing on operational strategy, medication safety, and standardization.
2026-09
RWJBarnabas Health
RWJBarnabas Health and Rutgers Cancer Institute Join with University Hospital to Grow Oncology and Related Services in the Greater Newark Region
RWJBarnabas Health and Rutgers Cancer Institute announced the addition of new oncology specialty care and related services at University Hospital in Newark. This agreement aims to enhance access to cutting-edge cancer treatments for patients in the greater Newark area.
2025-06

Frequently Asked Questions

RWJBarnabas Health and Rutgers Health have implemented several AI solutions. One notable tool is the Clinical Deterioration Index (CDI), a predictive AI algorithm that analyzes EMR data to identify early signs of patient decline, leading to earlier interventions and an 18.6% reduction in mortality. They are also piloting ambient AI tools for clinical documentation to reduce clinician burden and are using AI-driven algorithms for medical imaging to detect threats sooner and analyze images in cardiology.
RWJBarnabas Health and Rutgers Health have established an Artificial Intelligence Center of Excellence dedicated to the responsible development and integration of AI in healthcare. They also have a Clinical Working Group providing guidance on AI development, implementation, and governance, focusing on high standards of security and precision for safeguarding health and privacy. The organization emphasizes a culture of compliance, with a Compliance Department and a Code of Conduct to address related issues.
RWJBarnabas Health provides resources for obtaining pricing estimates for healthcare services as part of their price transparency initiative. Patients and potentially healthcare administrators can contact their financial counselors to understand potential financial liability and out-of-pocket costs based on insurance coverage. Specific pricing for AI products would likely be discussed through direct engagement with their innovation or IT departments, as it's not publicly listed like standard patient services.
RWJBarnabas Health and Rutgers Health emphasize a collaborative model where researchers, clinicians, data scientists, and IT professionals co-develop AI tools, ensuring they are tested, validated, and refined within real clinical workflows. This integrated approach suggests that support and training are built into the implementation process, with implementation teams providing rapid feedback for tool evolution and improvement.
RWJBarnabas Health and Rutgers Health have a significant academic partnership that underpins their AI initiatives, including the Artificial Intelligence Center of Excellence and the Center for Biomedical Informatics and Health AI (BMIHAI). They collaborate with the Rutgers Department of Computer Science for algorithm development and engage in public-private partnerships to fund and guide their work. They are also piloting an AI tool with Rutgers University to detect surgical site infections.
RWJBarnabas Health and Rutgers Health formed a clinical affiliation in 2018, creating New Jersey's largest academic health system with a long-term commitment to research, education, and patient care, backed by a significant investment from RWJBarnabas Health. The organization has strong financial ratings, with S&P and Moody's affirming stable outlooks and A1/A-1+ credit ratings in late 2025 and early 2026. Their establishment of an AI Center of Excellence and ongoing AI initiatives demonstrate a sustained commitment to integrating AI into their future healthcare delivery.

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