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 of the best hospitals in the U.S., the best hospital for adult cancer is the University of *******************************, which had a score of *** out of 100, as of 2025. This statistic shows the top 10 hospitals for adult cancer in the United States based on the score given by U.S. News and World Report's annual hospital ranking.

According to a ranking of the best hospitals in the U.S., the best hospital for adult cardiology, heart, and vascular surgery is the ******************** in New York, which had a score of *** out of 100, as of 2025. This statistic shows the top 10 hospitals for adult cardiology, heart, and vascular surgery in the United States based on the score given by U.S. News and World Report's annual hospital ranking.

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.

This dataset shows the the world's best hospital in 2023 issued by the Newsweek and Statista.

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.

This statistic depicts a ranking of the top 10 largest U.S. for-profit hospitals based on the number of beds as of February 2024. At this point, the Methodist Hospital in San Antonio, Texas, was ranked first among such hospitals in the United States, with a total of 1,831 beds. The top three largest for-profit hospitals were all in Texas.

This statistic depicts a ranking of the top 10 U.S. hospitals based on net patient revenue in 2014. In that year, the Cleveland Clinic Hospital in Cleveland, Ohio, was ranked first in the United States, generating approximately 4.19 billion U.S. dollars of net patient revenue.

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

Hospitals play a critical role in healthcare, offering specialized treatments and emergency services essential for public health, regardless of economic fluctuations or individuals' financial situations. Rising incomes and broader access to insurance have fueled demand for care in recent years, supporting hospitals' post-pandemic recovery initiated by federal policies and funding. The recovery for many hospitals was also promoted by mergers that lessened financial strains, especially in rural hospitals. This trend toward consolidation has resulted in fewer enterprises relative to establishments, enhancing hospitals' bargaining power regarding input costs and insurance reimbursements. With this improved position, hospitals are expected to see revenue climb at a CAGR of 2.0%, reaching $1.5 trillion by 2025, with a 3.2% increase in 2025 alone. Competition, economic conditions and regulatory changes will impact hospitals based on size and location. Smaller hospitals, particularly rural ones, may encounter more significant obstacles as the industry transitions from fee-based to value-based care. Independent hospitals face wage inflation, staffing shortages and drug supply costs. Although state and federal policies aim to support small rural hospitals in addressing hospital deserts, uncertainties linger over federal Medicare funding and Medicaid reimbursements, which account for nearly half of hospital care spending. Even so, increasing per capita disposable income and increasing the number of individuals with private insurance will boost revenues from private insurers and out-of-pocket payments for all hospitals, big and small. Hospitals will continue incorporating technological advancements in AI, telemedicine and wearables to enhance their services and reduce cost. These technologies aid hospital systems in strategically expanding outpatient services, mitigating the increasing competitive pressures from Ambulatory Surgery Centers (ASCs) and capitalizing on the increased needs of an aging adult population and shifts in healthcare delivery preferences. As the consolidation trend advances and technology adoption further leverages economies of scale, industry revenue is expected to strengthen at a CAGR of 2.4%, reaching $1.7 trillion by 2030, with steady profit over the period.

The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates. The data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.

The point shapefile shows locations of the critical care hospitals in the lower 48 states compiled from Health Resource and Service Administration (HRSA) of Dept. of HHS, dataset. There are over 8000 records that have name, address, telephone numbers (where listed) and also number of certified and toal hospital beds available at these hospitals.

Context

This dataset contains Hospital General Information from the U.S. Department of Health & Human Services. This is the BigQuery COVID-19 public dataset. This data contains a list of all hospitals that have been registered with Medicare. This list includes addresses, phone numbers, hospital types and quality of care information. The quality of care data is provided for over 4,000 Medicare-certified hospitals, including over 130 Veterans Administration (VA) medical centers, across the country. You can use this data to find hospitals and compare the quality of their care

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.cms_medicare.hospital_general_info.

Sample Query

How do the hospitals in Mountain View, CA compare to the average hospital in the US? With the hospital compare data you can quickly understand how hospitals in one geographic location compare to another location. In this example query we compare Google’s home in Mountain View, California, to the average hospital in the United States. You can also modify the query to learn how the hospitals in your city compare to the US national average.

“#standardSQL SELECT MTV_AVG_HOSPITAL_RATING, US_AVG_HOSPITAL_RATING FROM ( SELECT ROUND(AVG(CAST(hospital_overall_rating AS int64)),2) AS MTV_AVG_HOSPITAL_RATING FROM bigquery-public-data.cms_medicare.hospital_general_info WHERE city = 'MOUNTAIN VIEW' AND state = 'CA' AND hospital_overall_rating <> 'Not Available') MTV JOIN ( SELECT ROUND(AVG(CAST(hospital_overall_rating AS int64)),2) AS US_AVG_HOSPITAL_RATING FROM bigquery-public-data.cms_medicare.hospital_general_info WHERE hospital_overall_rating <> 'Not Available') ON 1 = 1”

What are the most common diseases treated at hospitals that do well in the category of patient readmissions? For hospitals that achieved “Above the national average” in the category of patient readmissions, it might be interesting to review the types of diagnoses that are treated at those inpatient facilities. While this query won’t provide the granular detail that went into the readmission calculation, it gives us a quick glimpse into the top disease related groups (DRG)
, or classification of inpatient stays that are found at those hospitals. By joining the general hospital information to the inpatient charge data, also provided by CMS, you could quickly identify DRGs that may warrant additional research. You can also modify the query to review the top diagnosis related groups for hospital metrics you might be interested in. “#standardSQL SELECT drg_definition, SUM(total_discharges) total_discharge_per_drg FROM bigquery-public-data.cms_medicare.hospital_general_info gi INNER JOIN bigquery-public-data.cms_medicare.inpatient_charges_2015 ic ON gi.provider_id = ic.provider_id WHERE readmission_national_comparison = 'Above the national average' GROUP BY drg_definition ORDER BY total_discharge_per_drg DESC LIMIT 10;”

ContextResearch-oriented cancer hospitals in the United States treat and study patients with a range of diseases. Measures of disease specific research productivity, and comparison to overall productivity, are currently lacking.HypothesisDifferent institutions are specialized in research of particular diseases.ObjectiveTo report disease specific productivity of American cancer hospitals, and propose a summary measure.MethodWe conducted a retrospective observational survey of the 50 highest ranked cancer hospitals in the 2013 US News and World Report rankings. We performed an automated search of PubMed and Clinicaltrials.gov for published reports and registrations of clinical trials (respectively) addressing specific cancers between 2008 and 2013. We calculated the summed impact factor for the publications. We generated a summary measure of productivity based on the number of Phase II clinical trials registered and the impact factor of Phase II clinical trials published for each institution and disease pair. We generated rankings based on this summary measure.ResultsWe identified 6076 registered trials and 6516 published trials with a combined impact factor of 44280.4, involving 32 different diseases over the 50 institutions. Using a summary measure based on registered and published clinical trails, we ranked institutions in specific diseases. As expected, different institutions were highly ranked in disease-specific productivity for different diseases. 43 institutions appeared in the top 10 ranks for at least 1 disease (vs 10 in the overall list), while 6 different institutions were ranked number 1 in at least 1 disease (vs 1 in the overall list).ConclusionResearch productivity varies considerably among the sample. Overall cancer productivity conceals great variation between diseases. Disease specific rankings identify sites of high academic productivity, which may be of interest to physicians, patients and researchers.

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.

This statistic depicts a ranking of the top 10 U.S. nonprofit hospital operators based on number of hospitals as of December 2015. At this point, Ascension Health, based in St. Louis, Missouri, was ranked first in the United States, with a total of 76 hospitals.

According to cognitive market research-"Global Medical Disposables market size 2023 was XX Million. Medical Disposables Industry compound annual growth rate (CAGR) will be XX% from 2024 till 2031."

  In 2023, the sterilisation supplies segment held the lead with XX% of total revenue. Infection control is critical in healthcare settings.
  The plastic resin segment dominated the market in 2023. Infection control is critical in healthcare settings.
  Hospitals dominated the market in 2023 because they provide a diverse range of medical services and treatments, including various medical specialties and procedures.
  North America accounted for XX% of the worldwide market in 2023 and is expected to maintain its dominance during the forecast period. North America boasts a highly developed and modern healthcare infrastructure, including hospitals, clinics, and medical facilities.

Current scenario of the Medical disposables market

Key drivers of the Medical Disposables market

An increase in hospital-acquired infections (HAIs) around the globe is fuelling market demand. 

HAI is becoming an increasingly serious issue in healthcare facilities around the world. According to the WHO, 10 out of every 100 hospital patients in developing countries and seven in industrialised nations suffer from HAIs. Infectious agents provide an elevated risk to health practitioners and professionals, and patients who are exposed are more likely to catch hospital-acquired diseases. According to statistical research published by the Centers for Disease Control and Prevention (CDC), such HAIs cause around 1.7 million diseases and more than 99,000 deaths in American hospitals. https://www.who.int/news/item/06-05-2022-who-launches-first-ever-global-report-on-infection-prevention-and-control#:~:text=Today%2C%20out%20of%20every%20100,will%20die%20from%20their%20HAI.

HAIs were listed among the top five leading causes of mortality. Surgical infections, urinary tract infections, lung infections, and bloodstream infections are some of the most common hospital-acquired infection types. According to the American Hospital Association, post-surgical bloodstream infections have grown by 8%, while urinary tract infections have increased by 3.6% as a result of catheter placement during surgery. As a result, the usage of medical disposables may play an important role in preventing cross-contamination and reducing the danger of infection spread, driving the market to higher standards. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501203/

Rising Diabetes Rates Will Drive Up market demand

Rapid urbanization and the growing trend towards sedentary lifestyles in both developed and emerging nations are the main causes of the increased prevalence of diabetes. According to the International Diabetes Federation, 537 million adults globally were predicted to have diabetes in 2021; 51.6% of those people were estimated to reside in China, India, the United States, Brazil, and Mexico. The rapid acceptance of these systems worldwide can be attributed to the large rise in the number of patients with type-1 or insulin-dependent type 2 diabetes. Type 1 diabetes affects around 149.5 out of every 1,000 children and teenagers worldwide, accounting for 9.8% of the total population. https://idf.org/about-diabetes/diabetes-facts-figures/ Long-term diabetes may result in foot ulcers, longer hospital stays, and a positive impact on the market during the forecast period. Despite the healthcare industry's careful efforts, many people contract hospital-acquired infections while being treated there. The Centres for Disease Control and Prevention (CDC) estimate that over 3% of patients in the United States contract hospital-acquired infections each year.

Constraints for the global Medical Disposables market

The increase in waste production limits market expansion.

The sustainable healthcare business requires effective biomedical waste management. Efficiency in processing the vast amount of generated biomedical waste became a work for the entire world, as well as a fight to manage the exuberant amount of garbage, with the outbreak of the COVID-19 pandemic, when hospitals and care centres were inundated with patients. Despite the fact that the bulk of medical waste poses no harm to h...

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 ---

Top 10 Principal Procedure Blocks for primiparous and multiparous delivery discharges with a principal procedure reported. Delivery relates to women with a diagnosis of outcome of delivery (ICD-10-AM – Z37) in acute public hospitals with an allocated admission type of Maternity only. HIPE collects the number of previous live births and number of previous stillbirths (over 500g) for all cases with admission type code Maternity. Primiparous: These are women who have had no previous pregnancy resulting in a live birth or stillbirth. Multiparous: These are women who have had at least one previous pregnancy resulting in a live birth or stillbirth. Activity in Acute Public Hospitals in Ireland Annual Report, 2014, is a report on in-patient and day patient discharges from acute public hospitals participating in the Hospital In-Patient Enquiry (HIPE) scheme in 2014. Discharge activity is examined by type of patient and hospital, and by demographic parameters (such as age and sex). Particular issues of relevance to the Irish health care system covered in the report relate to the composition of discharges by medical card and public/private status. Discharges are also analysed by diagnoses, procedures, major diagnostic categories, and diagnosis related groups. Maternity discharges are examined separately from other discharges. The analysis is presented at the national level. In 2014 HIPE discharges were coded using ICD-10-AM/ACHI/ACS 6th Edition and grouped into AR-DRG Version 6.0. See the complete Activity in Acute Public Hospitals in Ireland Annual Report 2014 at http://www.hpo.ie/latest_hipe_nprs_reports/HIPE_2014/HIPE_Report_2014.pdf

Provides the Top 10 Principal Diagnoses (N, %, In-Patient Length of Stay, Average Age) for emergency in-patient discharges with a listed diagnosis of a fall. Activity in Acute Public Hospitals in Ireland Annual Report, 2016, is a report on in-patient and day patient discharges from acute public hospitals participating in the Hospital In-Patient Enquiry (HIPE) scheme in 2016. Discharge activity is examined by type of patient (day patient/in-patient), admission type (elective/emergency/maternity) and hospital group, and by demographic parameters (such as age and sex). Particular issues of relevance to the Irish health care system covered in the report relate to the composition of discharges by medical card and public/private status. Discharges are also analysed by diagnoses, procedures, major diagnostic categories, and diagnosis related groups. The analysis is presented at the national level. In 2016 HIPE discharges were coded using ICD-10-AM/ACHI/ACS 8th Edition and grouped into AR-DRG Version 8.0. See the complete Activity in Acute Public Hospitals in Ireland Annual Report 2016 at http://www.hpo.ie/latest_hipe_nprs_reports/HIPE_2016/HIPE_Report_2016.pdf