According to a ranking by Statista and Newsweek, the best hospital in the United States is the *********** in Rochester, Minnesota. Moreover, the *********** was also ranked as the best hospital in the world, among over 50,000 hospitals in 30 countries. **************** in Ohio and the ************* Hospital in Maryland were ranked as second and third best respectively in the U.S., while they were second and forth best respectively in the World.

According to a ranking by Statista and Newsweek, the world's best hospital is the *********** in Rochester, Minnesota. A total of **** U.S. hospitals made it to the top ten list, while one hospital in each of the following countries was also ranked among the top ten best hospitals in the world: Canada, Sweden, Germany, Israel, Singapore, and Switzerland.

The dataset provides performance ratings for coronary artery bypass graft (CABG) surgery, inpatient mortality indicators (IMIs), and elective percutaneous coronary intervention (PCI). The outcome measures include: operative mortality for isolated CABG; inpatient mortality for acute stroke, acute myocardial infarction, heart failure, gastrointestinal hemorrhage, hip fracture, pneumonia, abdominal aortic aneurysm repair, carotid endarterectomy, esophageal resection, pancreatic resection, percutaneous coronary intervention; three outcome measures for elective PCI without on-site cardiac surgery: mortality, post-PCI stroke, and post-PCI emergency coronary artery bypass graft surgery; postoperative sepsis following elective surgeries. It includes risk-adjusted rates, number of adverse events and cases.

According to a ranking by Statista and Newsweek, the best hospital in Norway is Oslo Universitetssykehus in Oslo. Moreover, Oslo Universitetssykehus was also ranked as the **** best hospital in the world, among over ****** hospitals in ** countries. St. Olavs Hospital in Trondheim and Haukeland Universitetssykehus in Bergen were ranked as second and third best respectively in the Norway, while they were ***** and ***** best respectively in the World.

About Dataset:

The Global Hospital Dataset is a comprehensive collection of information on 20,000 hospitals located across the world. This dataset has been curated to provide a wide range of valuable information about these healthcare institutions, making it a valuable resource for various stakeholders in the healthcare industry, researchers, analysts, and policymakers.

Key Features:

Hospital Name: The names of the hospitals in the dataset. Country: The countries in which each hospital is located, providing a global perspective. World Rank: Ranking of hospitals on a global scale based on various criteria, showcasing the healthcare landscape. Size: Information about the physical size and capacity of each hospital. Visibility: A measure of the hospitals' visibility, which could include factors such as media coverage and online presence. Rich Files: Data related to any rich files associated with the hospitals, which could be valuable resources for analysis. Scholarship: Scholarly or academic scores for hospitals, reflecting their contributions to research and education.

According to a ranking by Statista and Newsweek, the best hospital in Denmark is the Rigshospitalet - København in Copenhagen. Moreover, the Rigshospitalet - København was also ranked as the **** best hospital in the world, among over ****** hospitals in ** countries. Aarhus Universitetshospital in Aarhus and Odense Universitetshospital in Odense were ranked as second and third best respectively in the Denmark, while they were **** and **** best respectively in the World.

The average for 2020 based on 36 countries was 4.44 hospital beds. The highest value was in South Korea: 12.65 hospital beds and the lowest value was in Mexico: 0.99 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

The dataset contains risk-adjusted mortality rates, quality ratings, and number of deaths and cases for 6 medical conditions treated (Acute Stroke, Acute Myocardial Infarction, Heart Failure, Gastrointestinal Hemorrhage, Hip Fracture and Pneumonia) and 5 procedures performed (Abdominal Aortic Aneurysm Repair, Unruptured/Open, Abdominal Aortic Aneurysm Repair, Unruptured/Endovascular, Carotid Endarterectomy, Pancreatic Resection, Percutaneous Coronary Intervention) in California hospitals. The 2022 IMIs were generated using AHRQ Version 2023, while previous years' IMIs were generated with older versions of AHRQ software (2021 IMIs by Version 2022, 2020 IMIs by Version 2021, 2019 IMIs by Version 2020, 2016-2018 IMIs by Version 2019, 2014 and 2015 IMIs by Version 5.0, and 2012 and 2013 IMIs by Version 4.5). The differences in the statistical method employed and inclusion and exclusion criteria using different versions can lead to different results. Users should not compare trends of mortality rates over time. However, many hospitals showed consistent performance over years; “better” performing hospitals may perform better and “worse” performing hospitals may perform worse consistently across years. This dataset does not include conditions treated or procedures performed in outpatient settings. Please refer to statewide table for California overall rates: https://data.chhs.ca.gov/dataset/california-hospital-inpatient-mortality-rates-and-quality-ratings/resource/af88090e-b6f5-4f65-a7ea-d613e6569d96

Summary characteristics of hospitals comprising each neighborhood, demographics of their Hospital Service Areas, and their U.S. News and World Report, Leapfrog, Consumer Reports, and Health Grades ratings.

Public reporting of measures of hospital performance is an important component of quality improvement efforts in many countries. However, it can be challenging to provide an overall characterization of hospital performance because there are many measures of quality. In the United States, the Centers for Medicare and Medicaid Services reports over 100 measures that describe various domains of hospital quality, such as outcomes, the patient experience and whether established processes of care are followed. Although individual quality measures provide important insight, it is challenging to understand hospital performance as characterized by multiple quality measures. Accordingly, we developed a novel approach for characterizing hospital performance that highlights the similarities and differences between hospitals and identifies common patterns of hospital performance. Specifically, we built a semi-supervised machine learning algorithm and applied it to the publicly-available quality measures for 1,614 U.S. hospitals to graphically and quantitatively characterize hospital performance. In the resulting visualization, the varying density of hospitals demonstrates that there are key clusters of hospitals that share specific performance profiles, while there are other performance profiles that are rare. Several popular hospital rating systems aggregate some of the quality measures included in our study to produce a composite score; however, hospitals that were top-ranked by such systems were scattered across our visualization, indicating that these top-ranked hospitals actually excel in many different ways. Our application of a novel graph analytics method to data describing U.S. hospitals revealed nuanced differences in performance that are obscured in existing hospital rating systems.

*Standardized units.Characteristics of the top 50 Cancer Hospitals, as ranked by the US News and World Report.

ContextPrior research has faulted the US News and World Report hospital specialty rankings for excessive reliance on reputation, a subjective measure of a hospital's performance.ObjectiveTo determine whether and to what extent reputation correlates with objective measures of research productivity among cancer hospitals.DesignA retrospective observational study.SettingAutomated search of NIH Reporter, BioEntrez, BioMedline and Clinicaltrials.gov databases.ParticipantsThe 50 highest ranked cancer hospitals in 2013's US News and World Report Rankings.ExposureWe ascertained the number of NCI funded grants, and the cumulative funds received by each cancer center. Additionally, we identified the number of phase I, phase II, and phase III studies published and indexed in MEDLINE, and registered at clinicaltrials.gov. All counts were over the preceding 5 years. For published articles, we summed the impact factor of the journals in which they appeared. Trials were attributed to centers on the basis of the affiliation of the lead author or study principal investigator.Main OutcomeCorrelation coefficients from simple and multiple linear regressions for measures of research productivity and a center's reputation.ResultsAll measures of research productivity demonstrated robust correlation with reputation (mean r-squared  = 0.65, median r-squared = 0.68, minimum r-squared = .41, maximum r-squared = 0.80). A multivariable model showed that 93% of the variation in reputation is explained by objective measures.ConclusionContrary to prior criticism, the majority of reputation, used in US News and World Rankings, can be explained by objective measures of research productivity among cancer hospitals.

According to a hospital ranking carried out by Fudan University in 2022, the best hospital in China was Peking Union Medical College Hospital, with a quality index score of *****. The second position went to West China Hospital affliated to Sichuan University, with a score of *****.

The dataset provides performance ratings for two outcome measures for transcatheter aortic valve replacement (TAVR) procedures: in-hospital/30-day mortality and in-hospital/30-day stroke. It includes the number of cases, adverse events, risk-adjusted rates, and performance ratings for hospitals compared to the overall statewide rates. This dataset also contains the location of hospitals that perform TAVR procedures in California.

Context

This are the official datasets used on the Medicare.gov Hospital Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at over 4,000 Medicare-certified hospitals across the country.

Content

Dataset fields:

• Provider ID
• Hospital Name
• Address
• City
• State
• ZIP Code
• County Name
• Phone Number
• Hospital Type
• Hospital Ownership
• Emergency Services
• Meets criteria for meaningful use of EHRs
• Hospital overall rating
• Hospital overall rating footnote
• Mortality national comparison
• Mortality national comparison footnote
• Safety of care national comparison
• Safety of care national comparison footnote
• Readmission national comparison
• Readmission national comparison footnote
• Patient experience national comparison
• Patient experience national comparison footnote
• Effectiveness of care national comparison
• Effectiveness of care national comparison footnote
• Timeliness of care national comparison
• Timeliness of care national comparison footnote
• Efficient use of medical imaging national comparison
• Efficient use of medical imaging national comparison

Acknowledgements

Dataset was downloaded from [https://data.medicare.gov/data/hospital-compare]

Inspiration

If you just broke your leg, you might need to use this dataset to find the best Hospital to get that fixed!

Analysis of ‘Hospital ratings’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/center-for-medicare-and-medicaid/hospital-ratings on 21 November 2021.

--- Dataset description provided by original source is as follows ---

Context

This are the official datasets used on the Medicare.gov Hospital Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at over 4,000 Medicare-certified hospitals across the country.

Content

Dataset fields:

• Provider ID
• Hospital Name
• Address
• City
• State
• ZIP Code
• County Name
• Phone Number
• Hospital Type
• Hospital Ownership
• Emergency Services
• Meets criteria for meaningful use of EHRs
• Hospital overall rating
• Hospital overall rating footnote
• Mortality national comparison
• Mortality national comparison footnote
• Safety of care national comparison
• Safety of care national comparison footnote
• Readmission national comparison
• Readmission national comparison footnote
• Patient experience national comparison
• Patient experience national comparison footnote
• Effectiveness of care national comparison
• Effectiveness of care national comparison footnote
• Timeliness of care national comparison
• Timeliness of care national comparison footnote
• Efficient use of medical imaging national comparison
• Efficient use of medical imaging national comparison

Acknowledgements

Dataset was downloaded from [https://data.medicare.gov/data/hospital-compare]

Inspiration

If you just broke your leg, you might need to use this dataset to find the best Hospital to get that fixed!

--- Original source retains full ownership of the source dataset ---

This dataset contains the location of hospitals that performed Coronary Artery Bypass Graft (CABG) surgery in California from 2011 to 2022. It also provides performance ratings for the following risk-adjusted outcome measures related to the CABG surgery: operative mortality for isolated CABG and CABG plus valve, post-operative stroke, and 30-day all cause readmission. The dataset also includes the number of cases and adverse events for each CABG outcome measure. The methodology, including risk models that generated the rates and performance ratings differed among years. Users should exercise caution when comparing trends of rates over time (see metadata for more information).

This dataset lists the Structural Performance Category or “SPC rating” and Nonstructural Performance Category or “NPC rating” of all General Acute Care Hospitals in California, including a building’s probability of collapse in a significant earthquake as assessed by Multi-Hazard Loss Estimation Technology (HAZUS). To link the HCAI IDs with those from other Departments, like CDPH, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk.

This dataset tracks annual overall school rank from 2011 to 2023 for Hospital Homebound

South Korea Number of Hospital was up 3.5% in 2019, compared to the previous year.