USCareCheck

CMS certification 500008

University of Washington Medical Ctr

1959 NE Pacific St Box 356151, Seattle, WA 98195

Acute Care Hospitals Birthing-friendly

University of Washington Medical Ctr has a CMS overall rating of 4 out of 5 stars. 80% 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 5 and worse on 1. Emergency patients spend a median of 4 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 4/5 CMS summary of quality measures
Would definitely recommend 80% US average 71%
Patient survey rating 4/5 4,925 completed surveys
Compared with the nation 1 worse 5 better of 27 measures CMS could compare

What patients said

Answers from patients who stayed here, collected by CMS in the national HCAHPS survey: 4,925 completed surveys, 24% response rate, Oct 2024 – Sep 2025.

Would definitely recommend the hospital
80%
WA 71% · US 71% · 5 of 5 stars
Rated the hospital 9 or 10 out of 10
76%
WA 70% · US 72% · 4 of 5 stars
Nurses always communicated well
80%
WA 78% · US 80% · 4 of 5 stars
Doctors always communicated well
80%
WA 79% · US 80% · 4 of 5 stars
Staff always explained new medicines
62%
WA 61% · US 62% · 3 of 5 stars
Given information about recovering at home
90%
WA 87% · US 86% · 4 of 5 stars
Room was always clean
75%
WA 74% · US 74% · 4 of 5 stars
Always quiet at night
53%
WA 53% · US 60% · 3 of 5 stars

This hospital Washington 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 WA US
Median time in the emergency department before leaving Lower is better · 350 visits sampled · US median for EDs of the same volume: 3 h 21 min 4 h 26 min 2 h 31 min 2 h 42 min
Median time for psychiatric and mental health patients Lower is better · 28 visits sampled 5 h 28 min 3 h 58 min 4 h 17 min
Left before being seen Lower is better · 76,553 patients 4% 3% 2%
Stroke symptoms: brain scan read within 45 minutes Higher is better · 13 patients 62% 62% 69%
Severe sepsis and septic shock: all recommended care given Higher is better · 302 patients 63% 60% 65%

How University of Washington Medical Ctr 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
University of Washington Medical CtrThis hospital4/580%4 h 26 min5 better 1 worse
Swedish Medical CenterSame city4/574%2 h 24 min2 better
Swedish Medical Center / Cherry HillSame city4/576%3 h 6 min2 better
Kaiser Permanente Central HospitalSame cityNot rated59%—No different
Seattle VA Medical Center (VA Puget Sound Healthcare System)Same city4/572%—4 better 2 worse
Harborview Medical CenterSame city2/571%4 h 59 min1 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 Seattle.

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 5,179 cases Too few cases 2.6% 3.9%
Heart attack 169 cases Too few cases 12.6% 11.9%
Heart failure 643 cases Too few cases 10.4% 11.1%
Pneumonia 522 cases Too few cases 13.6% 15.2%
Stroke 256 cases Too few cases 10.1% 11.9%
COPD 123 cases Too few cases 8.3% 8.6%
Heart bypass surgery (CABG) 33 cases Too few cases 2.5% 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.

2 better than the nation 10 no different
Measure CMS comparison This hospital National
Serious complications, combined measure No different 0.87 likely 0.68 – 1.06 1
After hip or knee replacement 136 cases Too few cases 3.9% 4.1%
Deaths after a serious but treatable surgical complication 295 cases No different 171.77 per 1,000 likely 137.68 per 1,000 – 205.86 per 1,000 173.3 per 1,000
Pressure ulcers (bed sores) 11,531 cases No different 0.85 per 1,000 likely 0.42 per 1,000 – 1.28 per 1,000 0.63 per 1,000
Collapsed lung caused by a procedure 12,916 cases No different 0.31 per 1,000 likely 0.14 per 1,000 – 0.48 per 1,000 0.21 per 1,000
Broken bones from falls in the hospital 13,941 cases No different 0.31 per 1,000 likely 0.14 per 1,000 – 0.48 per 1,000 0.27 per 1,000
Bleeding or hematoma after surgery 4,648 cases No different 3.24 per 1,000 likely 2.26 per 1,000 – 4.23 per 1,000 2.34 per 1,000
Kidney injury needing dialysis after surgery 3,007 cases No different 0.99 per 1,000 likely 0 per 1,000 – 2.05 per 1,000 1.67 per 1,000
Breathing failure after surgery 2,791 cases Better 4.94 per 1,000 likely 1.58 per 1,000 – 8.3 per 1,000 9.42 per 1,000
Blood clots in the lungs or legs after surgery 5,095 cases No different 3.81 per 1,000 likely 2.43 per 1,000 – 5.19 per 1,000 3.52 per 1,000
Sepsis after surgery 3,047 cases Better 2.48 per 1,000 likely 0.42 per 1,000 – 4.54 per 1,000 5.27 per 1,000
Surgical wound splitting open 1,296 cases No different 1.73 per 1,000 likely 0.45 per 1,000 – 3.02 per 1,000 1.77 per 1,000
Accidental cut or tear during abdominal surgery 3,356 cases No different 1.14 per 1,000 likely 0.41 per 1,000 – 1.87 per 1,000 1.06 per 1,000

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 better than the nation 5 no different
Measure CMS comparison This hospital National
Bloodstream infections from central lines (CLABSI) No different 1.17 likely 0.87 – 1.53 1
Urinary tract infections from catheters (CAUTI) No different 1.23 likely 0.87 – 1.68 1
Surgical site infections after colon surgery No different 1.26 likely 0.75 – 2.01 1
Surgical site infections after abdominal hysterectomy No different 1.72 likely 0.7 – 3.58 1
MRSA bloodstream infections No different 0.92 likely 0.5 – 1.56 1
C. diff intestinal infections Better 0.42 likely 0.3 – 0.57 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.

2 better than the nation 2 no different
Measure CMS comparison This hospital National
Readmitted after a heart attack 288 cases Too few cases 13.7% 14.4%
Readmitted after heart failure 887 cases Too few cases 20.2% 21.3%
Readmitted after pneumonia 649 cases Too few cases 17.2% 17.3%
Readmitted after COPD 173 cases Too few cases 20.6% 20%
Readmitted after heart bypass surgery 34 cases Too few cases 11.5% 11%
Readmitted after hip or knee replacement 138 cases Too few cases 5.6% 5.8%
Days back in hospital after a heart attack 213 cases Too few cases -17.4 days per 100 —
Days back in hospital after heart failure 730 cases Too few cases -32.1 days per 100 —
Days back in hospital after pneumonia 543 cases Too few cases 12 days per 100 —
Unplanned visits after an outpatient colonoscopy 2,084 cases No different 12.9 per 1,000 likely 10.1 per 1,000 – 16.3 per 1,000 13 per 1,000
Hospital admissions during outpatient chemotherapy 540 cases Better 8.1 per 100 likely 6 per 100 – 10.6 per 100 10.7 per 100
ER visits during outpatient chemotherapy 540 cases No different 5 per 100 likely 3.6 per 100 – 6.8 per 100 5.4 per 100
Unplanned visits after outpatient surgery 2,118 cases Better 0.8 likely 0.7 – 1 —

1 more measure had too few cases here to report.

Clinicians registered at this address

3,515 clinicians give this hospital's street address as their practice location in NPPES, the federal provider registry, plus 1,066 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
Anesthesiology 187
Pharmacist 156
Diagnostic Radiology 144
Internal Medicine 141
Physician Assistant 122
Nurse Anesthetist, Certified Registered 109
Registered Nurse 102
Hospitalist 99
Family 89
Psychiatry 76
Respiratory Therapist, Registered 76
Dentist 74

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 $70.7M general $9.8M · research $60.9M
All years, 2019–2025 $381.2M 20,187 reported payments
Studies funded, 2025 405 165 companies paid in total
  • 2019 $42.2M
  • 2020 $47.4M
  • 2021 $50.4M
  • 2022 $55.9M
  • 2023 $55.7M
  • 2024 $58.9M
  • 2025 $70.7M

General payments Research payments

What the 2025 general payments were for

Type of payment Amount Payments
Grants $3.2M 102
Speaking, teaching and other services $3M 98
Royalties and licensing fees $3M 96
Space rental and facility fees $231,910 43
Education $107,229 79
Consulting fees $101,705 4
Medical devices and supplies on long-term loan $100,044 35
Faculty and speaker fees for medical education $69,000 1
Debt forgiveness $7,395 3
Charitable contributions $5,250 2
Travel and lodging $4,220 1
Food and beverage $869 4

Largest paying companies, 2025

Company Amount Payments
Amgen Inc. $15.6M 10
Pfizer INC. $6M 179
Merck Sharp & Dohme LLC $5.3M 59
Genentech, Inc. $4.8M 101
Janssen Research & Development, LLC $4.2M 185
Novo Nordisk AS $2.7M 5
E.R. Squibb & Sons, L.L.C. $2.1M 36
AstraZeneca Pharmaceuticals LP $2M 19

Largest research studies funded here, 2025

Study Amount
A Phase 1/2 Open-label Study to Investigate the Safety, Efficacy, and Pharmacokinetics of Administration of Subcutaneous Blinatumomab for the Treatme… Amgen Inc. $14.3M
THE MICROBIOLOGY AND CLINICAL OUTCOMES OF MODERATE TO SEVERE ACUTE RESPIRATORY INFECTIONS IN HOSPITALIZED ADULTS AFTER THE COVID19 PANDEMIC MAY 11 20… PFIZER INC. $1.4M
Emicizumab in Acquired Hemophilia Genentech, Inc. $1.1M
Remotely-monitored Exercise to Enhance Functional Outcomes in Patients with Pulmonary Arterial Hypertension (PAH) Initiating Sotatercept Therapy: A S… Merck Sharp & Dohme LLC $940,915
A Phase 1 Study of JNJ-78278343, a T-Cell-Redirecting Agent Targeting Human Kallikrein 2 (KLK2), for Advanced Prostate Cancer Janssen Research & Development, LLC $879,066
A Phase 1, Multicenter, Open-Label, Dose-Escalation, and Dose-Expansion Study to Evaluate the Safety, Pharmacokinetics, and Anti-Tumor Activity of AR… Janssen Research & Development, LLC $837,380
A PHASE 2 STUDY OF BRENTUXIMAB VEDOTIN IN COMBINATION WITH PEMBROLIZUMAB IN SUBJECTS WITH METASTATIC SOLID MALIGNANCIES PFIZER INC. $741,855
Beamion LUNG-1: An open label, Phase I dose escalation trial, with dose confirmation and expansion, of zongertinib (BI 1810631) as monotherapy in pat… Boehringer Ingelheim Pharmaceuticals, Inc. $722,970

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 University of Washington Medical Ctr

Is University of Washington Medical Ctr a good hospital?

University of Washington Medical Ctr has a CMS overall rating of 4 out of 5 stars. Of the 27 death, complication, infection and readmission measures CMS could compare, it does better than the nation on 5 and worse on 1. These are hospital-wide results published by CMS; they do not rate individual doctors or departments.

Would patients recommend University of Washington Medical Ctr?

80% of patients who answered CMS's national survey would definitely recommend it, against a US average of 71%. The figure comes from 4,925 completed HCAHPS surveys.

How long is the wait in the University of Washington Medical Ctr emergency room?

Emergency patients spend a median of 4 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. 4% of emergency patients left before being seen (US 2%). These are medians over a year of visits, not a live wait time.

Does University of Washington Medical Ctr receive money from drug and device companies?

Drug and device makers reported $70.7M in payments to University of Washington Medical Ctr for 2025, most of it research funding, under the federal Open Payments program. A payment on its own does not show a conflict of interest.