USCareCheck

CMS certification 310038

Robert Wood Johnson University Hospital

One Robert Wood Johnson Place, New Brunswick, NJ 08901

Acute Care Hospitals Emergency services Birthing-friendly

Robert Wood Johnson University Hospital has a CMS overall rating of 2 out of 5 stars. 70% of patients who answered CMS's national survey would definitely recommend it, against a US average of 71%. Of the 27 death, complication, infection and readmission measures CMS could compare, it does better than the nation on 4 and worse on 6. Emergency patients spend a median of 3 h 26 min in its emergency department before leaving (US median 2 h 42 min).

Every figure on this page is published by CMS; we arrange and explain it, and score nothing ourselves.

CMS overall rating 2/5 CMS summary of quality measures
Would definitely recommend 70% US average 71%
Patient survey rating 3/5 2,393 completed surveys
Compared with the nation 6 worse 4 better of 27 measures CMS could compare

What patients said

Answers from patients who stayed here, collected by CMS in the national HCAHPS survey: 2,393 completed surveys, 17% response rate, Oct 2024 – Sep 2025.

Would definitely recommend the hospital
70%
NJ 65% · US 71% · 4 of 5 stars
Rated the hospital 9 or 10 out of 10
68%
NJ 65% · US 72% · 3 of 5 stars
Nurses always communicated well
78%
NJ 76% · US 80% · 3 of 5 stars
Doctors always communicated well
77%
NJ 75% · US 80% · 3 of 5 stars
Staff always explained new medicines
61%
NJ 58% · US 62% · 3 of 5 stars
Given information about recovering at home
86%
NJ 83% · US 86% · 3 of 5 stars
Room was always clean
72%
NJ 69% · US 74% · 4 of 5 stars
Always quiet at night
44%
NJ 49% · US 60% · 2 of 5 stars

This hospital New Jersey average US average

Emergency department

How long emergency patients spent here and how some time-critical care went, from CMS's timely and effective care measures, Oct 2024 – Sep 2025. CMS classes this emergency department's patient volume as very high; busier departments tend to have longer times, so the national median for departments of the same volume is shown too. These are medians over a year of visits, not a live wait time.

Measure This hospital NJ US
Median time in the emergency department before leaving Lower is better · 408 visits sampled · US median for EDs of the same volume: 3 h 21 min 3 h 26 min 3 h 6 min 2 h 42 min
Median time for psychiatric and mental health patients Lower is better · 21 visits sampled 2 h 36 min 4 h 52 min 4 h 17 min
Left before being seen Lower is better · 81,126 patients 1% 2% 2%
Severe sepsis and septic shock: all recommended care given Higher is better · 187 patients 71% 73% 65%

How Robert Wood Johnson University Hospital compares with nearby hospitals

The closest hospitals of the same kind that CMS rates or surveys - the same city first, then the same county and ZIP area. Every figure is CMS's: the overall star rating, the share of patients who would definitely recommend the hospital, the median time emergency patients spent before leaving, and how many death, complication, infection and readmission measures CMS found better or worse than the national rate.

Hospital CMS stars Would recommend ER median time Vs the nation
Robert Wood Johnson University HospitalThis hospital2/570%3 h 26 min4 better 6 worse
Saint Peter's University HospitalSame city3/576%3 h 28 min3 better 3 worse
Raritan Bay Medical CenterSame county · Perth Amboy4/561%2 h 58 min2 better 2 worse
Jfk University Medical CenterSame county · Edison3/556%3 h 17 min4 better 2 worse
University Medical Center of Princeton at PlainsboroSame county · Plainsboro4/575%3 h 41 min4 better 2 worse

Hospitals differ in size and in how sick their patients are. CMS adjusts its outcome measures for that, but a star or a percentage is a starting point for questions, not a verdict. All hospitals in New Brunswick.

Deaths

How many patients died within 30 days of admission, adjusted by CMS for how sick they were. Lower is better. Data from Jul 2022 – Jun 2025.

Measure CMS comparison This hospital National
All patients, hospital-wide 5,803 cases Too few cases 2.9% 3.9%
Heart attack 313 cases Too few cases 10.3% 11.9%
Heart failure 848 cases Too few cases 10.6% 11.1%
Pneumonia 714 cases Too few cases 15.8% 15.2%
Stroke 646 cases Too few cases 11.5% 11.9%
COPD 118 cases Too few cases 8.2% 8.6%
Heart bypass surgery (CABG) 378 cases Too few cases 1.7% 2.4%

Complications

How often patients had serious complications, most of them after surgery, adjusted for how sick they were. Lower is better. Data from Jul 2022 – Jun 2024.

12 no different
Measure CMS comparison This hospital National
Serious complications, combined measure No different 1.14 likely 0.93 – 1.35 1
Deaths after a serious but treatable surgical complication 299 cases No different 170.95 per 1,000 likely 140.22 per 1,000 – 201.67 per 1,000 173.3 per 1,000
Pressure ulcers (bed sores) 12,413 cases No different 0.52 per 1,000 likely 0.09 per 1,000 – 0.94 per 1,000 0.63 per 1,000
Collapsed lung caused by a procedure 13,007 cases No different 0.2 per 1,000 likely 0.04 per 1,000 – 0.37 per 1,000 0.21 per 1,000
Broken bones from falls in the hospital 14,093 cases No different 0.25 per 1,000 likely 0.08 per 1,000 – 0.42 per 1,000 0.27 per 1,000
Bleeding or hematoma after surgery 3,950 cases No different 1.67 per 1,000 likely 0.6 per 1,000 – 2.74 per 1,000 2.34 per 1,000
Kidney injury needing dialysis after surgery 1,630 cases No different 1.55 per 1,000 likely 0.33 per 1,000 – 2.77 per 1,000 1.67 per 1,000
Breathing failure after surgery 1,623 cases No different 12.42 per 1,000 likely 8.43 per 1,000 – 16.4 per 1,000 9.42 per 1,000
Blood clots in the lungs or legs after surgery 4,166 cases No different 4.91 per 1,000 likely 3.39 per 1,000 – 6.43 per 1,000 3.52 per 1,000
Sepsis after surgery 1,697 cases No different 6.8 per 1,000 likely 4.11 per 1,000 – 9.5 per 1,000 5.27 per 1,000
Surgical wound splitting open 847 cases No different 1.89 per 1,000 likely 0.55 per 1,000 – 3.24 per 1,000 1.77 per 1,000
Accidental cut or tear during abdominal surgery 2,978 cases No different 1 per 1,000 likely 0.22 per 1,000 – 1.79 per 1,000 1.06 per 1,000

1 more measure had too few cases here to report.

Infections caught in the hospital

Standardized infection ratio: 1.0 means as many infections as CMS predicted for a hospital like this one. Lower is better. Data from Oct 2024 – Sep 2025.

1 worse than the nation 3 better than the nation 2 no different
Measure CMS comparison This hospital National
Bloodstream infections from central lines (CLABSI) Better 0.5 likely 0.25 – 0.92 1
Urinary tract infections from catheters (CAUTI) Better 0.34 likely 0.15 – 0.67 1
Surgical site infections after colon surgery Worse 1.89 likely 1.19 – 2.87 1
Surgical site infections after abdominal hysterectomy No different 0.75 likely 0.13 – 2.48 1
MRSA bloodstream infections No different 0.78 likely 0.44 – 1.27 1
C. diff intestinal infections Better 0.34 likely 0.24 – 0.47 1

Readmissions and return visits

How often patients had to come back to a hospital after going home. Lower is better. Data from Jul 2023 – Jun 2025.

1 worse than the nation 3 no different
Measure CMS comparison This hospital National
Readmitted after a heart attack 569 cases Too few cases 15.3% 14.4%
Readmitted after heart failure 1,238 cases Too few cases 19.6% 21.3%
Readmitted after pneumonia 935 cases Too few cases 17.8% 17.3%
Readmitted after COPD 168 cases Too few cases 18.8% 20%
Readmitted after heart bypass surgery 343 cases Too few cases 14.1% 11%
Days back in hospital after a heart attack 476 cases Too few cases 46.3 days per 100 —
Days back in hospital after heart failure 1,015 cases Too few cases 17 days per 100 —
Days back in hospital after pneumonia 712 cases Too few cases 43.4 days per 100 —
Unplanned visits after an outpatient colonoscopy 439 cases No different 13.2 per 1,000 likely 9.8 per 1,000 – 17.7 per 1,000 13 per 1,000
Hospital admissions during outpatient chemotherapy 623 cases Worse 13.6 per 100 likely 11.4 per 100 – 16.2 per 100 10.7 per 100
ER visits during outpatient chemotherapy 623 cases No different 5 per 100 likely 3.7 per 100 – 6.5 per 100 5.4 per 100
Unplanned visits after outpatient surgery 639 cases No different 1.2 likely 0.9 – 1.4 —

2 more measures had too few cases here to report.

Money from drug and device companies

Drug and device makers have to report what they pay teaching hospitals to CMS's Open Payments program. At many teaching hospitals most of it is research funding, or royalties for inventions the hospital licensed to a company. A payment on its own does not show a conflict of interest.

2025 total $168,857 general $138,797 · research $30,060
All years, 2019–2025 $9.1M 249 reported payments
Studies funded, 2025 2 17 companies paid in total
  • 2019 $1.7M
  • 2020 $1.6M
  • 2021 $1.9M
  • 2022 $2M
  • 2023 $1.4M
  • 2024 $336,435
  • 2025 $168,857

General payments Research payments

What the 2025 general payments were for

Type of payment Amount Payments
Speaking, teaching and other services $50,550 4
Royalties and licensing fees $43,992 1
Debt forgiveness $18,821 9
Medical devices and supplies on long-term loan $11,384 12
Consulting fees $10,000 1
Education $3,000 1
Grants $894 1
Food and beverage $80 1
Space rental and facility fees $77 2

Largest paying companies, 2025

Company Amount Payments
National Marrow Donor Program $50,550 4
Beckman Coulter, Inc. $43,992 1
TG Therapeutics, Inc. $26,225 7
Stryker Corporation $11,813 11
Mallinckrodt Hospital Products Inc. $10,000 1
MED-EL Corporation $9,090 1
Olympus America Inc. $5,735 1
Route 92 Medical, Inc. $3,835 1

Largest research studies funded here, 2025

Study Amount
(ENABLE) REal world experieNce with BRIUMVI (ublituximAB-xiiy) treated patients: a Longitudinal rEgistry study TG Therapeutics, Inc. $26,225
SUMMIT MAX Route 92 Medical, Inc. · NCT05018650 $3,835

Amounts are as the paying companies reported them to CMS; Open Payments data retrieved 13 Sep 2026. Full record on CMS Open Payments.

How to read this page

  • Everything here is published by CMS on Care Compare. We arrange it and explain it; the star ratings and the better / worse verdicts are CMS's, not ours.
  • “No different” is the most common result on most measures at most hospitals. CMS only calls a result better or worse when the difference from the national rate is statistically clear.
  • Death, complication and readmission rates are adjusted by CMS for how sick patients were, so hospitals that treat sicker patients can be compared fairly.
  • Infection results are ratios: 1.0 means as many infections as CMS predicted for a hospital like this one, below 1.0 is fewer.
  • These are hospital-wide results. They do not rate an individual doctor, nurse or department, and they are not medical advice.

CMS Care Compare data retrieved 4 Oct 2026, refreshed weekly. Where this data comes from and how we handle it · Report an error

Common questions about Robert Wood Johnson University Hospital

Is Robert Wood Johnson University Hospital a good hospital?

Robert Wood Johnson University Hospital has a CMS overall rating of 2 out of 5 stars. Of the 27 death, complication, infection and readmission measures CMS could compare, it does better than the nation on 4 and worse on 6. These are hospital-wide results published by CMS; they do not rate individual doctors or departments.

Would patients recommend Robert Wood Johnson University Hospital?

70% of patients who answered CMS's national survey would definitely recommend it, against a US average of 71%. The figure comes from 2,393 completed HCAHPS surveys.

How long is the wait in the Robert Wood Johnson University Hospital emergency room?

Emergency patients spend a median of 3 h 26 min in its emergency department before leaving (US median 2 h 42 min). Among US emergency departments with very high patient volume, like this one, the median is 3 h 21 min. 1% of emergency patients left before being seen (US 2%). These are medians over a year of visits, not a live wait time.

Does Robert Wood Johnson University Hospital receive money from drug and device companies?

Drug and device makers reported $168,857 in payments to Robert Wood Johnson University Hospital for 2025, under the federal Open Payments program. A payment on its own does not show a conflict of interest.