USCareCheck

CMS certification 030064

Banner - University Medical Center Tucson Campus

1625 North Campbell Avenue, Tucson, AZ 85719

Acute Care Hospitals Emergency services Birthing-friendly

Banner - University Medical Center Tucson Campus has a CMS overall rating of 3 out of 5 stars. 68% of patients who answered CMS's national survey would definitely recommend it, against a US average of 71%. Of the 25 death, complication, infection and readmission measures CMS could compare, it does better than the nation on 6 and worse on none. Emergency patients spend a median of 5 h 11 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 3/5 CMS summary of quality measures
Would definitely recommend 68% US average 71%
Patient survey rating 2/5 1,281 completed surveys
Compared with the nation 0 worse 6 better of 25 measures CMS could compare

What patients said

Answers from patients who stayed here, collected by CMS in the national HCAHPS survey: 1,281 completed surveys, 21% response rate, Oct 2024 – Sep 2025.

Would definitely recommend the hospital
68%
AZ 68% · US 71% · 3 of 5 stars
Rated the hospital 9 or 10 out of 10
67%
AZ 68% · US 72% · 3 of 5 stars
Nurses always communicated well
72%
AZ 77% · US 80% · 2 of 5 stars
Doctors always communicated well
72%
AZ 76% · US 80% · 2 of 5 stars
Staff always explained new medicines
57%
AZ 60% · US 62% · 2 of 5 stars
Given information about recovering at home
83%
AZ 84% · US 86% · 3 of 5 stars
Room was always clean
63%
AZ 70% · US 74% · 3 of 5 stars
Always quiet at night
49%
AZ 56% · US 60% · 2 of 5 stars

This hospital Arizona 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 AZ US
Median time in the emergency department before leaving Lower is better · 372 visits sampled · US median for EDs of the same volume: 3 h 21 min 5 h 11 min 2 h 56 min 2 h 42 min
Median time for psychiatric and mental health patients Lower is better · 20 visits sampled 9 h 44 min 4 h 33 min 4 h 17 min
Left before being seen Lower is better · 83,550 patients 6% 2% 2%
Severe sepsis and septic shock: all recommended care given Higher is better · 103 patients 45% 59% 65%

How Banner - University Medical Center Tucson Campus 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
Banner - University Medical Center Tucson CampusThis hospital3/568%5 h 11 min6 better
VA S. Arizona Healthcare SystemSame city5/579%—3 better 1 worse
Banner-University Medical Center South CampusSame city4/556%4 h 20 min1 better
Tucson Medical CenterSame city2/570%3 h 22 min3 better 5 worse
St Joseph's HospitalSame city3/550%2 h 45 min3 better 1 worse
Northwest Medical CenterSame city2/548%3 h 44 min3 better 1 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 Tucson.

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 4,004 cases Too few cases 3.2% 3.9%
Heart attack 107 cases Too few cases 11.8% 11.9%
Heart failure 237 cases Too few cases 10.1% 11.1%
Pneumonia 386 cases Too few cases 14% 15.2%
Stroke 365 cases Too few cases 11.6% 11.9%
COPD 49 cases Too few cases 9.9% 8.6%
Heart bypass surgery (CABG) 71 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.

1 worse than the nation 11 no different
Measure CMS comparison This hospital National
Serious complications, combined measure No different 1.09 likely 0.84 – 1.34 1
Deaths after a serious but treatable surgical complication 178 cases No different 179.64 per 1,000 likely 138.61 per 1,000 – 220.67 per 1,000 173.3 per 1,000
Pressure ulcers (bed sores) 5,842 cases No different 0.3 per 1,000 likely 0 per 1,000 – 0.81 per 1,000 0.63 per 1,000
Collapsed lung caused by a procedure 6,096 cases No different 0.27 per 1,000 likely 0.08 per 1,000 – 0.46 per 1,000 0.21 per 1,000
Broken bones from falls in the hospital 6,470 cases No different 0.31 per 1,000 likely 0.12 per 1,000 – 0.51 per 1,000 0.27 per 1,000
Bleeding or hematoma after surgery 2,177 cases No different 2.89 per 1,000 likely 1.65 per 1,000 – 4.12 per 1,000 2.34 per 1,000
Kidney injury needing dialysis after surgery 926 cases No different 2.64 per 1,000 likely 1.24 per 1,000 – 4.04 per 1,000 1.67 per 1,000
Breathing failure after surgery 835 cases No different 9.93 per 1,000 likely 4.58 per 1,000 – 15.29 per 1,000 9.42 per 1,000
Blood clots in the lungs or legs after surgery 2,236 cases Worse 5.69 per 1,000 likely 3.93 per 1,000 – 7.45 per 1,000 3.52 per 1,000
Sepsis after surgery 912 cases No different 5.37 per 1,000 likely 2.47 per 1,000 – 8.27 per 1,000 5.27 per 1,000
Surgical wound splitting open 591 cases No different 1.42 per 1,000 likely 0.05 per 1,000 – 2.8 per 1,000 1.77 per 1,000
Accidental cut or tear during abdominal surgery 1,658 cases No different 1.35 per 1,000 likely 0.5 per 1,000 – 2.2 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.

3 better than the nation 3 no different
Measure CMS comparison This hospital National
Bloodstream infections from central lines (CLABSI) Better 0.4 likely 0.22 – 0.68 1
Urinary tract infections from catheters (CAUTI) Better 0.37 likely 0.2 – 0.63 1
Surgical site infections after colon surgery No different 0.98 likely 0.48 – 1.8 1
Surgical site infections after abdominal hysterectomy No different 0.53 likely 0.03 – 2.63 1
MRSA bloodstream infections No different 0.92 likely 0.5 – 1.56 1
C. diff intestinal infections Better 0.64 likely 0.51 – 0.8 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.

4 no different
Measure CMS comparison This hospital National
Readmitted after a heart attack 192 cases Too few cases 14.1% 14.4%
Readmitted after heart failure 586 cases Too few cases 20% 21.3%
Readmitted after pneumonia 814 cases Too few cases 15.7% 17.3%
Readmitted after COPD 167 cases Too few cases 19.6% 20%
Readmitted after heart bypass surgery 106 cases Too few cases 11% 11%
Readmitted after hip or knee replacement 27 cases Too few cases 5.5% 5.8%
Days back in hospital after a heart attack 128 cases Too few cases 1 days per 100 —
Days back in hospital after heart failure 257 cases Too few cases -17.6 days per 100 —
Days back in hospital after pneumonia 390 cases Too few cases -18.7 days per 100 —
Unplanned visits after an outpatient colonoscopy 1,247 cases No different 14.9 per 1,000 likely 11.6 per 1,000 – 19.1 per 1,000 13 per 1,000
Hospital admissions during outpatient chemotherapy 634 cases No different 9.8 per 100 likely 8 per 100 – 11.8 per 100 10.7 per 100
ER visits during outpatient chemotherapy 634 cases No different 5 per 100 likely 3.8 per 100 – 6.5 per 100 5.4 per 100
Unplanned visits after outpatient surgery 1,129 cases No different 1 likely 0.8 – 1.2 —

1 more measure had too few cases here to report.

Clinicians registered at this address

606 clinicians give this hospital's street address as their practice location in NPPES, the federal provider registry, plus 26 residents and trainees. The same address can take in offices and clinics in the building, and a listing does not prove admitting privileges or current employment.

Specialty Clinicians
Emergency Medicine 111
Pediatrics 54
Diagnostic Radiology 46
Internal Medicine 45
Anesthesiology 36
Neurology 24
Acute Care 20
Nurse Anesthetist, Certified Registered 20
Anatomic Pathology & Clinical Pathology 19
Physician Assistant 19
Family 16
Hospitalist 11

First 12 alphabetically

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 $31,378 general $31,378 · research $0
All years, 2019–2025 $1.2M 257 reported payments
  • 2019 $958,669
  • 2020 $129,692
  • 2021 $16,210
  • 2022 $32,619
  • 2023 $9,117
  • 2024 $35,871
  • 2025 $31,378

General payments Research payments

What the 2025 general payments were for

Type of payment Amount Payments
Medical devices and supplies on long-term loan $31,378 7

Largest paying companies, 2025

Company Amount Payments
Stryker Corporation $31,378 7

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 Banner - University Medical Center Tucson Campus

Is Banner - University Medical Center Tucson Campus a good hospital?

Banner - University Medical Center Tucson Campus has a CMS overall rating of 3 out of 5 stars. Of the 25 death, complication, infection and readmission measures CMS could compare, it does better than the nation on 6 and worse on none. These are hospital-wide results published by CMS; they do not rate individual doctors or departments.

Would patients recommend Banner - University Medical Center Tucson Campus?

68% of patients who answered CMS's national survey would definitely recommend it, against a US average of 71%. The figure comes from 1,281 completed HCAHPS surveys.

How long is the wait in the Banner - University Medical Center Tucson Campus emergency room?

Emergency patients spend a median of 5 h 11 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. 6% of emergency patients left before being seen (US 2%). These are medians over a year of visits, not a live wait time.

Does Banner - University Medical Center Tucson Campus receive money from drug and device companies?

Drug and device makers reported $31,378 in payments to Banner - University Medical Center Tucson Campus for 2025, under the federal Open Payments program. A payment on its own does not show a conflict of interest.