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) — N/A

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.

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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

PartnershipsRutgers University, University Hospital (Newark), Englewood Health (acquisition agreement)
AcquisitionsTrinitas Regional Medical Center, Saint Peter's Healthcare System (proposed, later scrapped), Englewood Health (definitive agreement signed)
TechnologyEpic (integrated EHR), AI-powered predictive clinical workflow platform (Wellsheet), cloud-native, edge computing, AI operating system (implied through various AI initiatives)
FDA Clearances15 (for third-party AI solution embedded in Epic for radiology) cleared products (estimated)

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 and Rutgers Health, a large academic health system in New Jersey, receives mixed reviews. While recognized for its comprehensive cancer care and commitment to research and education, employee feedback often highlights issues with management, staffing, and compensation. Patient experiences, particularly from Reddit, also indicate concerns regarding wait times and billing.

Overall: Mixed

Strengths

  • Strong academic affiliation with Rutgers University, fostering research and education.
  • Nationally recognized for quality and safety, with several hospitals receiving 'A' ratings from The Leapfrog Group.
  • Designated as New Jersey's only National Cancer Institute (NCI)-designated Comprehensive Cancer Center in partnership with Rutgers Cancer Institute.
  • Offers good benefits to employees.
  • Opportunities for learning and advancement.
  • Positive coworker relationships and a generally friendly workplace culture.

Limitations

  • Frequent complaints about management, described as unappreciative, cliquey, gossipy, and unprofessional.
  • Issues with understaffing, leading to heavy workloads.
  • Concerns about low pay compared to other hospitals, with infrequent raises.
  • Negative patient experiences reported on Reddit, including long wait times and billing issues.
  • Work-life balance can be challenging for some employees.
  • Some reports of broken equipment and a negative culture in specific hospital locations.

Based on reviews from: Indeed, Becker's Hospital Review, Reddit, RWJBarnabas Health (official site), Rutgers Health (official site), AHA, Healthgrades

Last updated: 2026-06-19

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Press & Coverage

AHA
RWJBarnabas Health & Rutgers Health | New Jersey: AI Center of Excellence | AHA
This article details the Artificial Intelligence Center of Excellence, a systemwide initiative by RWJBarnabas Health and Rutgers Health, focusing on responsible AI development and integration to improve patient outcomes, reduce clinician burden, and streamline operations. It highlights the Clinical Deterioration Index (CDI) and ambient AI tools for documentation.
2025-09
New Jersey Business Magazine
High-Tech Healthcare in NJ - New Jersey Business Magazine
The article discusses RWJBarnabas Health's use of a third-party AI solution embedded in Epic with 15 FDA-approved algorithms for radiology, and the Epic Deterioration Index (DI) for predicting patient decline. It also mentions AI tools for patient communication and chart summaries.
2026-06
RWJBarnabas Health Newsroom
Virtual Surgical XR Platform at RWJBarnabas Health and Rutgers Cancer Institute Enhances Neurosurgery Precision and Planning
RWJBarnabas Health and Rutgers Cancer Institute are implementing an extended reality (XR) platform that uses AI to enhance imaging for neuro- and spinal surgeons, improving surgical planning, precision, and patient education.
2026-04
Becker's Hospital Review
RWJBarnabas pilots AI tool for early SSI detection - Becker's Hospital Review
RWJBarnabas Health is piloting an AI tool developed with Rutgers University to detect surgical site infections earlier using operating room cameras and patient-submitted images via an app.
2025-03
Rutgers University
Rutgers Health Researchers Develop Software to Predict Diseases
Rutgers Health researchers developed IntelliGenes, an AI and machine-learning software that measures genomic biomarkers to predict diseases, aiming for personalized early detection.
2024-01
Rutgers Health
Announcing the Center for Biomedical Informatics and Health AI | Rutgers Health
Rutgers Health established the Center for Biomedical Informatics and Health Artificial Intelligence (BMIHAI) to integrate and expand strengths in biomedical informatics and health AI, focusing on education, data integration, research, and faculty development.
2024-10
RWJBarnabas Health
The AI Heart Revolution - RWJBarnabas Health
This article discusses how AI is transforming heart care at RWJBarnabas Health, including its use in automated dictation to improve physician-patient interaction, enhancing diagnostic accuracy, and integrating with remote patient monitoring.
2025-05
RWJBarnabas Health
Creating Medical Solutions with Technology - RWJBarnabas Health
The Center for Innovation at Robert Wood Johnson University Hospital and Rutgers Robert Wood Johnson Medical School is developing digital solutions using AI to provide health forecasts and steer preventive care, aiming for predictive, preventive, precise, and personalized medicine.
2023-02

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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