Look up a hospital's CMS Care Compare star rating, HCAHPS patient-experience scores, condition mortality/readmission rates, hospital-acquired infections, ED timeliness, and full metadata by CCN, name+state, or Care Compare URL. Supports compare_to for side-by-side hospitals with national + state benchmarks. Read-only.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionget-hospital-ratingExecute the skills CLI command in your project's root directory to begin installation:
Fetches get-hospital-rating from medicare.gov/get-hospital-rating-03perc and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate get-hospital-rating. Access via /get-hospital-rating in your agent's command palette.
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| name | get-hospital-rating |
| title | Medicare.gov Hospital Quality Rating |
| description | >- Look up a hospital's CMS Care Compare star rating, HCAHPS patient-experience scores, condition mortality/readmission rates, hospital-acquired infections, ED timeliness, and full metadata by CCN, name+state, or Care Compare URL. Supports compare_to for side-by-side hospitals with national + state benchmarks. Read-only. |
| website | medicare.gov |
| category | healthcare |
| tags | - healthcare - hospitals - ratings - cms - medicare - read-only - public-data |
| source | 'browserbase: agent-runtime 2026-05-18' |
| updated | '2026-05-18' |
| recommended_method | api |
| alternative_methods | [] |
| verified | true |
| proxies | true |
Given a hospital reference — CMS provider/CCN ID, hospital name + city/state, or a Care Compare URL — return the hospital's CMS quality ratings as a structured JSON record. Includes the overall 1–5 star rating, the five sub-domain group ratings (mortality, safety of care, readmission, patient experience, timely & effective care), HCAHPS patient-experience composite scores, common-condition mortality/readmission rates (heart attack, heart failure, pneumonia, stroke, COPD), hospital-acquired infection (HAI) Standardized Infection Ratios for CLABSI / CAUTI / SSI / MRSA / C.diff, emergency-department timeliness, full hospital metadata, and the canonical Care Compare URL. Supports a compare_to input that returns multiple hospitals side-by-side plus national and state benchmarks. Read-only; never clicks Save Hospital, Print, Sign In, Compare-cart submit, or any mutation control.
The medicare.gov Care Compare UI is a thin Angular SPA over a Kong-gated internal API (https://www.medicare.gov/api/care-compare/*). The exact same per-hospital quality data is also published — at the row level, refreshed quarterly — through the CMS Provider Data Catalog (data.cms.gov) DKAN datastore, which is fully public, auth-free, no anti-bot, and supports per-CCN filtering, contains-matching, multi-condition queries, and joins with state/national benchmark companion datasets. Iter-1 verification across 7 datasets for CCN 240010 (Mayo Clinic Hospital Rochester) returned 100% of the fields the Care Compare card surfaces. Lead with the PDC API. Use the browser flow only when you specifically need the rendered Care Compare card (e.g. for screenshot-in-the-loop tasks). Calling the medicare.gov Kong gateway directly is a confirmed dead end (401 No API key found in request).
The CMS Certification Number (CCN) — sometimes called the Provider ID or Facility ID — is the 6-digit primary key across every Hospital Compare dataset.
| Input shape | Resolution |
|---|---|
6-digit CCN (e.g. 240010) | Use directly. |
| Hospital name + state | Query Hospital General Information with contains on facility_name + = on state. |
| Hospital name + city + state | Same as above, then filter by citytown client-side (case-insensitive). |
https://www.medicare.gov/care-compare/details/hospital/{ccn} URL | Extract the trailing 6-digit path segment. |
https://www.medicare.gov/care-compare/results?... URL | No CCN in URL — extract zipcode= + provider type and run a name-keyed PDC query. |
# Name → CCN lookup (Hospital General Information = dataset xubh-q36u)
curl 'https://data.cms.gov/provider-data/api/1/datastore/query/xubh-q36u/0?conditions%5B0%5D%5Bproperty%5D=facility_name&conditions%5B0%5D%5Bvalue%5D=mayo&conditions%5B0%5D%5Boperator%5D=contains&conditions%5B1%5D%5Bproperty%5D=state&conditions%5B1%5D%5Bvalue%5D=MN&conditions%5B1%5D%5Boperator%5D=%3D&limit=10'
# → 240010 MAYO CLINIC HOSPITAL ROCHESTER, ROCHESTER, MN, rating=5
Issue one GET per dataset, filtering by facility_id=<CCN>. All 7 datasets share the same authentication-free DKAN datastore endpoint. Field names are stable across quarterly refreshes.
| Skill data point | Dataset ID | Title | Key fields returned |
|---|---|---|---|
| Overall 1–5 stars, group measure counts, metadata | xubh-q36u | Hospital General Information | hospital_overall_rating, mort_group_measure_count/count_of_mort_measures_better/no_different/worse, same for safety/readm/pt_exp/te; address, phone, hospital_type, hospital_ownership, emergency_services, meets_criteria_for_birthing_friendly_designation |
| HCAHPS patient-experience composites + summary star | dgck-syfz | Patient survey (HCAHPS) - Hospital | One row per hcahps_measure_id. H_STAR_RATING row carries patient_survey_star_rating (1–5 summary). H_*_STAR_RATING carries the per-composite stars. H_*_LINEAR_SCORE rows carry the linear-mean numeric score. H_*_A_P/U_P/SN_P give the "Always/Usually/Sometimes-or-Never" percent splits. number_of_completed_surveys + survey_response_rate_percent for sample quality. |
| Common-condition mortality, complications, PSI safety | ynj2-r877 | Complications and Deaths - Hospital | measure_id ∈ {MORT_30_AMI (heart attack), MORT_30_HF (heart failure), MORT_30_PN (pneumonia), MORT_30_STK (stroke), MORT_30_COPD (COPD), MORT_30_CABG (CABG surgery), Hybrid_HWM (hospital-wide mortality), COMP_HIP_KNEE, PSI_03–PSI_15 (safety indicators), PSI_90 (safety composite)}; score (rate per 100/1000), compared_to_national ("Better Than"/"No Different Than"/"Worse Than the National Rate"), denominator, lower_estimate, higher_estimate (95% CI). |
| Unplanned readmissions / ED return-day rates | 632h-zaca | Unplanned Hospital Visits - Hospital | measure_id ∈ {EDAC_30_AMI, EDAC_30_HF, EDAC_30_PN (excess days), READM_30_* (readmission rates per condition)}; same compared_to_national ternary + denominator + CI. |
| Hospital-acquired infections (HAI) Standardized Infection Ratios | 77hc-ibv8 | Healthcare Associated Infections - Hospital | Six measure families, each with 6 rows: _SIR (the actual SIR — what's surfaced on Care Compare), _NUMERATOR, _DOPC (device-days denominator), _ELIGCASES, _CILOWER, _CIUPPER. HAI_1 = CLABSI, HAI_2 = CAUTI, HAI_3 = SSI Colon, HAI_4 = SSI Abdominal Hysterectomy, HAI_5 = MRSA Bacteremia, HAI_6 = C.diff. compared_to_national carries the four bucket levels: Better than the National Benchmark, No Different than National Benchmark, Worse than the National Benchmark, Not Available. |
| Timely & Effective Care, including ED timeliness | yv7e-xc69 | Timely and Effective Care - Hospital | Filter on _condition='Emergency Department' for ED timeliness: OP_18a/b/c/d (median minutes in ED before leaving, by patient class), OP_22 (% who left before being seen), OP_23 (% head-CT-results-within-45-minutes), EDV (volume bucket: low/medium/high/very high). Other _condition values: Cataract Surgery, Colonoscopy, Heart Attack or Chest Pain, Pregnancy and Delivery, Preventive Care, Sepsis Care. |
| Medicare spending per beneficiary | nrth-mfg3 | Medicare Hospital Spending by Claim | Hospital vs. state vs. national spending across pre-admission / index-admission / post-discharge windows + claim-type splits. |
Benchmark companion datasets — query without facility_id for national-level benchmark rows, or with state=<2-letter> for state-level benchmark rows. Companion IDs:
| Per-hospital dataset | National benchmark | State benchmark | What the benchmark row carries |
|---|---|---|---|
xubh-q36u (overall rating) | — (computed from rollups) | — | n/a |
dgck-syfz (HCAHPS) | 99ue-w85f | 84jm-wiui | hcahps_answer_percent and hcahps_linear_mean_value for each measure ID across all reporting hospitals nationally / state-wide. |
77hc-ibv8 (HAI) | yd3s-jyhd | k2ze-bqvw | score is the nationally/state-pooled SIR (typically 1.0 for national, varies for state). |
ynj2-r877 (Complications/Deaths) | qqw3-t4ie | bs2r-24vh | national_rate; hospital-count distribution columns (`number_of_hospitals_worse |
632h-zaca (Unplanned Visits) | cvcs-xecj | 4gkm-5ypv | Same shape as Complications/Deaths benchmarks, with extra `number_of_hospitals_fewer |
yv7e-xc69 (Timely & Effective Care) | isrn-hqyy | apyc-v239 | score is the national/state median for each measure. |
https://www.medicare.gov/care-compare/details/hospital/{ccn}?city=&state={STATE}&zipcode={ZIPCODE}&page=1&from=hospital&type=Hospital
This URL works only when reached through the SPA's in-app router — see Site-Specific Gotchas. Return it as the canonical link anyway; users who click it land on home and search by ZIP.
Merge the per-CCN rows from each dataset into one record per hospital (see ## Expected Output for the schema). Map each compared_to_national enum string into a normalized boolean trio {better, no_different, worse} for downstream filtering. Preserve raw score values as strings (CMS does — they signal "Not Available" / "Not Applicable" via string sentinels, not nulls).
compare_toWhen compare_to: [<ccn or name+state>, ...] is set, run steps 1–4 in parallel for each. After all hospitals are resolved, query each national + state benchmark companion dataset once (not per-hospital) and embed the result as a top-level benchmarks.national and benchmarks.state.<state-code> block. The PDC DKAN datastore tolerates ~5 req/s without rate-limiting in our testing; sequential per-hospital fan-out is fine.
Use this when (a) the consumer is a visual workflow that wants a screenshot of the per-hospital card, or (b) the user explicitly requested the medicare.gov UI. Skip otherwise — the API path returns the same data at ~100× lower cost.
sid=$(browse cloud sessions create --keep-alive --proxies --verified | jq -r .id)
export BROWSE_SESSION="$sid"
browse open "https://www.medicare.gov/care-compare/results?searchType=Hospital&page=1&zipcode={ZIPCODE}&sort=closest&radius=25" --remote
Wait ≥ 8 seconds after networkidle — hospital cards render lazily after the SPA fires POST /api/care-compare/provider?autoExpand=true.href pattern — see gotcha below). The SPA navigates to its in-app detail route, which renders the full quality card.browse cloud sessions update "$sid" --status REQUEST_RELEASE./care-compare/details/hospital/{ccn} does NOT work as a plain URL load. Confirmed in iters 1, 2, and 4: a page.goto(detailUrl) from a cold session returns the home-page chrome only (finalUrl: /care-compare/, h1: "Menu"). The SPA's router treats /details/hospital/* as an internal route reachable only through the in-app navigation graph (home → ZIP → Hospital → Search → click result). Construct the canonical URL anyway for output / linking — but never rely on goto for scraping the detail page. Click through from /results?... instead./api/care-compare/* is auth-walled. Every endpoint observed (/refresh, /news-updates, /datafeed, /geocode/search, /provider?autoExpand=true) returns 401 {"message":"No API key found in request"} to direct requests. The API key is embedded in the SPA bundle (main.<hash>.js, ~1MB — exceeds Browserbase Fetch 1MB cap). Do not waste cycles trying to reverse this key — the public PDC datastore is the right path.browse cloud fetch https://www.medicare.gov/care-compare/en/main.<hash>.js --proxies returns HTTP 502 "response body exceeded the maximum allowed size of 1MB." If you need to inspect bundle internals, do it inside a Browserbase Function (no size cap there) or use page.evaluate to introspect runtime globals.--verified --proxies but bare sessions see /DgEq/aOIa/g3e9/o16Ycw/m55OcGf3k5J7rSN9iS/... POSTs (the _abck challenge URL) and a JS-shell HTML on first navigation. Always run with stealth + residential proxy.mat-list-item tiles, not standard <button>s. page.getByRole("button", { name: /hospital/i }) matched "Menu" instead of the Hospital tile in iter 1. Prefer the direct /results?searchType=Hospital&zipcode={ZIP} deep-link, which does work — it bypasses the tile.<a href="/care-compare/details/hospital/..."> may not exist. Iter 4 confirmed waitForSelector("a[href*='/care-compare/details/hospital/']") times out at 30 s. Angular's routerLink directives do not always materialize as <a href> in the DOM until hover or focus. Click by visible text instead: page.getByRole("link", { name: /<hospital name>/i }).hospital_overall_rating: "Not Available" is a real value. Critical-access hospitals, brand-new hospitals, VA hospitals, children's hospitals, and rural emergency hospitals (REH) often lack a star rating. Treat as null in normalized output, surface the raw "Not Available" string in a _raw block. For REH, query the parallel datasets: 97xg-v3wv (Rural Emergency Hospital - Timely and Effective Care) and zez1-ka2w (REH - Unplanned Hospital Visits).compared_to_national enum capitalization differs from Complications/Deaths. HAI uses Better than the National Benchmark (lowercase "than", and "Benchmark" not "Rate"). Complications/Deaths uses Better Than the National Rate. Normalize before comparison.hcahps_measure_id = 'H_STAR_RATING' for the summary star (5-stars at Mayo Rochester), or H_*_STAR_RATING for per-composite stars (Nurse communication, Doctor communication, Cleanliness, Quietness, Discharge information, Communication about medicines, Overall hospital rating, Recommend hospital). H_*_LINEAR_SCORE rows carry the numeric 0–100 linear mean. The _A_P/_U_P/_SN_P triplets sum to 100% and represent the always/usually/sometimes-or-never response distribution.OP_18a through OP_18d decompose by patient class. OP_18a = all ED patients, OP_18b = ED patients excluding transferred + psychiatric (the "general" wait time most often quoted), OP_18c = psychiatric/mental health patients, OP_18d = patients transferred to another facility. National median for OP_18b was 161 minutes; Minnesota state median was 130; Mayo Rochester scored 245. Lower is better.properties filter expects an array, not a comma-string. properties=facility_id,facility_name returns 400 JSON Schema validation failed. Use properties[0]=facility_id&properties[1]=facility_name, or just omit properties and read every column (response sizes are small enough — Hospital General Info is ~5–7 KB per CCN)./api/1/datastore/sql?query=... but uses bracket-DSL syntax ([SELECT ...][FROM ...][WHERE ...] — not standard SQL). The query parameter must reference each dataset by its UUID, not its slug. For most use cases the conditions API at /api/1/datastore/query/{slug}/0 is simpler — it handles =, contains, starts with, <>, <, <=, >, >=.start_date/end_date to every emitted measure so consumers can detect stale data.Single-hospital response shape (the compare_to shape is identical with a hospitals: [...] array and a top-level benchmarks block):
{
"ccn": "240010",
"name": "MAYO CLINIC HOSPITAL ROCHESTER",
"care_compare_url": "https://www.medicare.gov/care-compare/details/hospital/240010?city=&state=MN&zipcode=55902&page=1&from=hospital&type=Hospital",
"metadata": {
"address": "1216 SECOND STREET SOUTHWEST",
"city": "ROCHESTER",
"state": "MN",
"zip_code": "55902",
"county": "OLMSTED",
"phone": "(507) 255-5123",
"hospital_type": "Acute Care Hospitals",
"hospital_ownership": "Voluntary non-profit - Church",
"emergency_services": true,
"teaching_hospital": null,
"birthing_friendly": true
},
"overall_rating": {
"stars": 5,
"footnote": null,
"as_of": "2024-07-01_to_2025-06-30"
},
"domain_ratings": {
"mortality": { "measure_count": 8, "better": 6, "no_different": 2, "worse": 0 },
"safety": { "measure_count": 8, "better": 6, "no_different": 2, "worse": 0 },
"readmission": { "measure_count": 11, "better": 4, "no_different": 7, "worse": 0 },
"patient_experience": { "measure_count": 15, "better": null, "no_different": null, "worse": null },
"timely_effective": { "measure_count": 9, "better": null, "no_different": null, "worse": null }
},
"hcahps": {
"summary_star": 5,
"completed_surveys": 3895,
"response_rate_percent": 38,
"composites": {
"nurse_communication": { "star": 5, "linear_mean": 94, "always_percent": 84 },
"doctor_communication": { "star": 4, "linear_mean": 94, "always_percent": 84 },
"staff_responsiveness": { "star": null, "linear_mean": null, "always_percent": null },
"communication_about_medicines": { "star": 4, "linear_mean": 81, "always_percent": 64 },
"discharge_information": { "star": 5, "linear_mean": 91, "yes_percent": 91 },
"cleanliness": { "star": 4, "linear_mean": 89, "always_percent": 75 },
"quietness": { "star": 4, "linear_mean": 88, "always_percent": 68 },
"overall_hospital_rating": { "star": 5, "linear_mean": 94, "rated_9_or_10_percent": 85 },
"recommend_hospital": { "star": 5, "linear_mean": 95, "definitely_yes_percent": 88 }
}
},
"common_conditions": {
"MORT_30_AMI": { "name": "Death rate for heart attack patients", "score": "8.4", "compared_to_national": "Better Than the National Rate", "denominator": 1234, "ci": ["6.2","10.9"] },
"MORT_30_HF": { "name": "Death rate for heart failure patients", "score": "7.6", "compared_to_national": "Better Than the National Rate", "denominator": 987, "ci": ["6.0","9.4"] },
"MORT_30_PN": { "name": "Death rate for pneumonia patients", "score": "11", "compared_to_national": "Better Than the National Rate" },
"MORT_30_STK": { "name": "Death rate for stroke patients", "score": "10.1","compared_to_national": "Better Than the National Rate" },
"MORT_30_COPD": { "name": "Death rate for COPD patients", "score": "7.1", "compared_to_national": "No Different Than the National Rate" },
"EDAC_30_AMI": { "name": "Hospital return days for heart attack patients", "score": "-23.3", "compared_to_national": "Fewer Days Than Average per 100 Discharges" },
"EDAC_30_HF": { "name": "Hospital return days for heart failure patients", "score": "-17.1", "compared_to_national": "Fewer Days Than Average per 100 Discharges" },
"EDAC_30_PN": { "name": "Hospital return days for pneumonia patients", "score": "-6.9", "compared_to_national": "Average Days per 100 Discharges" }
},
"infections": {
"CLABSI": { "measure_family": "HAI_1", "sir": 0.377, "compared_to_national": "Better than the National Benchmark", "numerator": 28, "predicted": 74.245, "device_days": 69774, "ci": [0.256, 0.538] },
"CAUTI": { "measure_family": "HAI_2", "sir": 0.676, "compared_to_national": "Better than the National Benchmark", "numerator": 50, "predicted": 73.964, "device_days": 51687, "ci": [0.507, 0.884] },
"SSI_colon": { "measure_family": "HAI_3", "sir": 0.822, "compared_to_national": "No Different than National Benchmark", "ci": [0.578, 1.135] },
"SSI_hyst": { "measure_family": "HAI_4", "sir": null, "compared_to_national": "No Different than National Benchmark" },
"MRSA": { "measure_family": "HAI_5", "sir": null, "compared_to_national": null },
"C_diff": { "measure_family": "HAI_6", "sir": null, "compared_to_national": null }
},
"ed_timeliness": {
"volume_bucket": "very high",
"median_minutes_in_ed_general": { "measure_id": "OP_18b", "score": 245, "national_median": 161, "state_median": 130 },
"median_minutes_in_ed_all_patients": { "measure_id": "OP_18a", "score": 252 },
"median_minutes_in_ed_psychiatric": { "measure_id": "OP_18c", "score": 310 },
"percent_left_without_being_seen": { "measure_id": "OP_22", "score": 3 },
"percent_head_ct_results_within_45_min": { "measure_id": "OP_23", "score": 63 }
},
"data_currency": {
"general_info_window": "2024-07-01_to_2025-06-30",
"complications_deaths_window": "2024-07-01_to_2025-06-30",
"hai_window": "2024-07-01_to_2025-06-30",
"hcahps_window": "2024-07-01_to_2025-06-30",
"fetched_at": "<iso8601-utc>"
}
}
For compare_to: ["360180", "Cleveland Clinic Florida + FL"] the top level becomes:
{
"hospitals": [ { "ccn": "240010", ... }, { "ccn": "360180", ... }, { "ccn": "100247", ... } ],
"benchmarks": {
"national": {
"HAI_1_SIR": { "score": 1.0 },
"MORT_30_AMI": { "national_rate": "12.6" },
"OP_18b": { "score": "161" },
"H_STAR_RATING": { "hcahps_answer_percent": "3-star national distribution baseline" }
},
"state": {
"MN": { "HAI_1_SIR": { "score": 0.563 }, "OP_18b": { "score": 130 } },
"OH": { "HAI_1_SIR": { "score": 0.812 }, "OP_18b": { "score": 152 } },
"FL": { "HAI_1_SIR": { "score": 1.057 }, "OP_18b": { "score": 178 } }
}
},
"fetched_at": "<iso8601-utc>"
}
When the requested hospital is not found in the PDC (CCN doesn't exist or is for a non-Hospital provider type — nursing home, dialysis facility, home health agency), return:
{ "success": false, "reason": "ccn_not_a_hospital", "looked_up": "240010", "available_provider_types": ["NursingHome", "HomeHealth"] }
When the input was a hospital name that returned multiple matches in the target state:
{ "success": false, "reason": "ambiguous_name", "matches": [
{ "ccn": "240010", "name": "MAYO CLINIC HOSPITAL ROCHESTER", "city": "ROCHESTER", "state": "MN" },
{ "ccn": "240018", "name": "MAYO CLINIC HEALTH SYSTEM IN RED WING", "city": "RED WING", "state": "MN" },
{ "ccn": "240043", "name": "MAYO CLINIC HEALTH SYSTEM - ALBERT LEA AND AUSTIN", "city": "ALBERT LEA", "state": "MN" }
] }
When the hospital exists but is not publicly rated (critical access, brand-new, VA — hospital_overall_rating: "Not Available"):
{ "ccn": "241333", "name": "MAYO CLINIC HEALTH SYSTEM
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Useful defaults in get-hospital-rating — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added get-hospital-rating from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
get-hospital-rating reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for get-hospital-rating matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: get-hospital-rating is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: get-hospital-rating is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for get-hospital-rating matched our evaluation — installs cleanly and behaves as described in the markdown.
get-hospital-rating fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
get-hospital-rating fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in get-hospital-rating — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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