CMS certification 050228
Zuckerberg San Francisco General Hosp & Trauma Ctr
1001 Potrero Avenue, San Francisco, CA 94110
Zuckerberg San Francisco General Hosp & Trauma Ctr has a CMS overall rating of 2 out of 5 stars. 72% of patients who answered CMS's national survey would definitely recommend it, against a US average of 71%. Of the 23 death, complication, infection and readmission measures CMS could compare, it does better than the nation on 2 and worse on 3. Emergency patients spend a median of 5 h 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.
What patients said
Answers from patients who stayed here, collected by CMS in the national HCAHPS survey: 1,644 completed surveys, 16% response rate, Oct 2024 – Sep 2025.
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 | CA | US |
|---|---|---|---|
| Median time in the emergency department before leaving Lower is better · 324 visits sampled · US median for EDs of the same volume: 3 h 21 min | 5 h | 2 h 54 min | 2 h 42 min |
| Median time for psychiatric and mental health patients Lower is better · 54 visits sampled | 1 h 4 min | 4 h 20 min | 4 h 17 min |
| Left before being seen Lower is better · 71,165 patients | 7% | 2% | 2% |
| Stroke symptoms: brain scan read within 45 minutes Higher is better · 11 patients | 18% | 74% | 69% |
| Severe sepsis and septic shock: all recommended care given Higher is better · 152 patients | 44% | 70% | 65% |
How Zuckerberg San Francisco General Hosp & Trauma 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 |
|---|---|---|---|---|
| Zuckerberg San Francisco General Hosp & Trauma CtrThis hospital | 2/5 | 72% | 5 h | 2 better 3 worse |
| California Pacific Medical Center - Mission BernalSame city | 4/5 | 76% | 3 h 24 min | 1 better 3 worse |
| California Pacific Medical Center- van Ness CampusSame city | 3/5 | 78% | 3 h 18 min | 1 better 2 worse |
| UCSF Health Saint Francis HospitalSame city | 3/5 | 61% | 2 h 18 min | 1 better 2 worse |
| Kaiser Foundation Hospital - San FranciscoSame city | 4/5 | 72% | — | 2 better |
| California Pacific Medical Ctr-Davies Campus HospSame city | 3/5 | 74% | 2 h 40 min | 1 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 San Francisco.
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 1,351 cases | Too few cases | 3.5% | 3.9% |
| Heart attack 48 cases | Too few cases | 12.2% | 11.9% |
| Heart failure 201 cases | Too few cases | 7.5% | 11.1% |
| Pneumonia 214 cases | Too few cases | 14.5% | 15.2% |
| Stroke 261 cases | Too few cases | 10.3% | 11.9% |
| COPD 114 cases | Too few cases | 7.2% | 8.6% |
1 more measure had too few cases here to report.
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.
| Measure | CMS comparison | This hospital | National |
|---|---|---|---|
| Serious complications, combined measure | No different | 1.12 likely 0.76 – 1.49 | 1 |
| After hip or knee replacement 35 cases | Too few cases | 4.4% | 4.1% |
| Deaths after a serious but treatable surgical complication 76 cases | No different | 195.34 per 1,000 likely 147.34 per 1,000 – 243.34 per 1,000 | 173.3 per 1,000 |
| Pressure ulcers (bed sores) 4,129 cases | No different | 0.79 per 1,000 likely 0.08 per 1,000 – 1.49 per 1,000 | 0.63 per 1,000 |
| Collapsed lung caused by a procedure 4,709 cases | No different | 0.29 per 1,000 likely 0.07 per 1,000 – 0.5 per 1,000 | 0.21 per 1,000 |
| Broken bones from falls in the hospital 4,644 cases | No different | 0.39 per 1,000 likely 0.19 per 1,000 – 0.59 per 1,000 | 0.27 per 1,000 |
| Bleeding or hematoma after surgery 861 cases | No different | 2.85 per 1,000 likely 1.33 per 1,000 – 4.38 per 1,000 | 2.34 per 1,000 |
| Kidney injury needing dialysis after surgery 234 cases | No different | 1.59 per 1,000 likely 0 per 1,000 – 3.28 per 1,000 | 1.67 per 1,000 |
| Breathing failure after surgery 261 cases | No different | 8.95 per 1,000 likely 0.25 per 1,000 – 17.64 per 1,000 | 9.42 per 1,000 |
| Blood clots in the lungs or legs after surgery 795 cases | No different | 4.34 per 1,000 likely 2.11 per 1,000 – 6.56 per 1,000 | 3.52 per 1,000 |
| Sepsis after surgery 242 cases | No different | 6 per 1,000 likely 2.01 per 1,000 – 9.98 per 1,000 | 5.27 per 1,000 |
| Surgical wound splitting open 167 cases | No different | 1.66 per 1,000 likely 0.17 per 1,000 – 3.14 per 1,000 | 1.77 per 1,000 |
| Accidental cut or tear during abdominal surgery 667 cases | No different | 0.9 per 1,000 likely 0 per 1,000 – 1.91 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.
| Measure | CMS comparison | This hospital | National |
|---|---|---|---|
| Bloodstream infections from central lines (CLABSI) | Better | 0.37 likely 0.12 – 0.89 | 1 |
| Urinary tract infections from catheters (CAUTI) | Better | 0.45 likely 0.21 – 0.85 | 1 |
| Surgical site infections after colon surgery | No different | 1.77 likely 0.86 – 3.25 | 1 |
| MRSA bloodstream infections | No different | 0.71 likely 0.26 – 1.57 | 1 |
| C. diff intestinal infections | Better | 0.54 likely 0.34 – 0.82 | 1 |
1 more measure had too few cases here to report.
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.
| Measure | CMS comparison | This hospital | National |
|---|---|---|---|
| Readmitted after a heart attack 41 cases | Too few cases | 14.7% | 14.4% |
| Readmitted after heart failure 227 cases | Too few cases | 22.1% | 21.3% |
| Readmitted after pneumonia 232 cases | Too few cases | 18.2% | 17.3% |
| Readmitted after COPD 132 cases | Too few cases | 20.2% | 20% |
| Readmitted after hip or knee replacement 37 cases | Too few cases | 6.1% | 5.8% |
| Days back in hospital after heart failure 257 cases | Too few cases | 28.6 days per 100 | — |
| Days back in hospital after pneumonia 239 cases | Too few cases | 75.1 days per 100 | — |
| Unplanned visits after an outpatient colonoscopy 966 cases | No different | 13.6 per 1,000 likely 10.4 per 1,000 – 17.9 per 1,000 | 13 per 1,000 |
| Hospital admissions during outpatient chemotherapy 175 cases | No different | 11.3 per 100 likely 8.3 per 100 – 15.1 per 100 | 10.7 per 100 |
| ER visits during outpatient chemotherapy 175 cases | No different | 6.8 per 100 likely 4.7 per 100 – 9.6 per 100 | 5.4 per 100 |
| Unplanned visits after outpatient surgery 88 cases | No different | 1.2 likely 0.8 – 1.7 | — |
3 more measures had too few cases here to report.
Clinicians registered at this address
1,257 clinicians give this hospital's street address as their practice location in NPPES, the federal provider registry, plus 195 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 |
|---|---|
| Internal Medicine | 128 |
| Clinical | 72 |
| Registered Nurse | 53 |
| Obstetrics & Gynecology | 52 |
| Psychiatry | 51 |
| Family Medicine | 48 |
| Pediatrics | 47 |
| Community Health Worker | 46 |
| Emergency Medicine | 46 |
| Addiction (Substance Use Disorder) | 31 |
| Anesthesiology | 31 |
| Diagnostic Radiology | 29 |
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.
- 2019 $679,416
- 2020 $322,276
- 2021 $62,152
- 2022 $21,655
- 2023 $2.2M
- 2024 $105,010
- 2025 $27,091
What the 2025 general payments were for
| Type of payment | Amount | Payments |
|---|---|---|
| Debt forgiveness | $19,394 | 4 |
| Space rental and facility fees | $6,475 | 1 |
| Medical devices and supplies on long-term loan | $1,161 | 7 |
| Food and beverage | $41 | 1 |
| Gifts | $21 | 1 |
Largest paying companies, 2025
| Company | Amount | Payments |
|---|---|---|
| Aesculap, Inc. | $16,967 | 1 |
| Medtronic, Inc. | $6,475 | 1 |
| Olympus America Inc. | $2,158 | 2 |
| Stryker Corporation | $595 | 4 |
| Abbott Laboratories | $566 | 3 |
| Haemonetics Corporation | $269 | 1 |
| Barco, Inc. | $41 | 1 |
| B. Braun Medical Inc. | $21 | 1 |
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 Zuckerberg San Francisco General Hosp & Trauma Ctr
Is Zuckerberg San Francisco General Hosp & Trauma Ctr a good hospital?
Zuckerberg San Francisco General Hosp & Trauma Ctr has a CMS overall rating of 2 out of 5 stars. Of the 23 death, complication, infection and readmission measures CMS could compare, it does better than the nation on 2 and worse on 3. These are hospital-wide results published by CMS; they do not rate individual doctors or departments.
Would patients recommend Zuckerberg San Francisco General Hosp & Trauma Ctr?
72% of patients who answered CMS's national survey would definitely recommend it, against a US average of 71%. The figure comes from 1,644 completed HCAHPS surveys.
How long is the wait in the Zuckerberg San Francisco General Hosp & Trauma Ctr emergency room?
Emergency patients spend a median of 5 h 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. 7% of emergency patients left before being seen (US 2%). These are medians over a year of visits, not a live wait time.
Does Zuckerberg San Francisco General Hosp & Trauma Ctr receive money from drug and device companies?
Drug and device makers reported $27,091 in payments to Zuckerberg San Francisco General Hosp & Trauma Ctr for 2025, under the federal Open Payments program. A payment on its own does not show a conflict of interest.