According to a ranking by Statista and Newsweek, the best hospital in the United States is the Mayo Clinic in Rochester, Minnesota. Moreover, the Mayo Clinic was also ranked as the best hospital in the world, among over 50,000 hospitals in 30 countries. Cleveland Clinic in Ohio and the Johns Hopkins 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.

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

According to a ranking of the best hospitals in the U.S., the best hospital for adult cancer is the University of Texas MD Anderson Cancer Center, which had a score of 100 out of 100, as of 2024. 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 by Statista and Newsweek, the best hospital in Sweden is the Karolinska Universitetssjukhuset in Stockholm. Moreover, Karolinska Universitetssjukhuset was also ranked as the seventh-best hospital in the world, among over 50,000 hospitals in 30 countries. Sahlgrenska Universitetssjukhuset in Göteborg and Akademiska Sjukhuset in Uppsala were ranked as second and third best respectively in the Sweden, while they were 74th and 75th best respectively in the World.

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 29th best hospital in the world, among over 50,000 hospitals in 30 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 138th and 151st best respectively in the World.

According to a ranking of the best hospitals in the U.S., the best hospital for adult cardiology, heart, and vascular surgery is the Cleveland Clinic in Ohio, which had a score of 100 out of 100, as of 2024. 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 best hospital in Denmark is the Rigshospitalet - København in Copenhagen. Moreover, the Rigshospitalet - København was also ranked as the 21st best hospital in the world, among over 50,000 hospitals in 30 countries. Aarhus Universitetshospital in Aarhus and Odense Universitetshospital in Odense were ranked as second and third best respectively in the Denmark, while they were 23rd and 85th best respectively in the World.

According to a ranking by Statista and Newsweek, the best hospital in Finland is Helsinki University Hospital in Helsinki. Moreover, Helsinki University Hospital was also ranked as the 50th best hospital in the world, among over 50,000 hospitals in 30 countries. Tampere University Hospital in Tampere and Turku University Hospital in Turku were ranked as second and third best respectively in the Finland, while they were 126th and 121st 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.

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

Success.ai’s Healthcare Professionals Data for Healthcare & Hospital Executives in Europe provides a reliable and comprehensive dataset tailored for businesses aiming to connect with decision-makers in the European healthcare and hospital sectors. Covering healthcare executives, hospital administrators, and medical directors, this dataset offers verified contact details, professional insights, and leadership profiles.

With access to over 700 million verified global profiles and data from 70 million businesses, Success.ai ensures your outreach, market research, and partnership strategies are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is indispensable for navigating and thriving in Europe’s healthcare industry.

Why Choose Success.ai’s Healthcare Professionals Data?

1. Verified Contact Data for Targeted Engagement

   • Access verified work emails, phone numbers, and LinkedIn profiles of healthcare executives, hospital administrators, and medical directors.
   • AI-driven validation ensures 99% accuracy, reducing data gaps and improving communication effectiveness.

2. Comprehensive Coverage of European Healthcare Professionals

   • Includes profiles of professionals from top hospitals, healthcare organizations, and medical institutions across Europe.
   • Gain insights into regional healthcare trends, operational challenges, and emerging technologies.

3. Continuously Updated Datasets

   • Real-time updates capture changes in leadership roles, organizational structures, and market dynamics.
   • Stay aligned with the fast-evolving healthcare landscape to identify emerging opportunities.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with healthcare professionals and decision-makers in Europe’s hospital and healthcare sectors.
• 70M+ Business Profiles: Access detailed firmographic data, including hospital sizes, revenue ranges, and geographic footprints.
• Leadership Insights: Engage with CEOs, medical directors, and administrative leaders shaping healthcare strategies.
• Regional Healthcare Trends: Understand trends in digital healthcare adoption, operational efficiency, and patient care management.

Key Features of the Dataset:

1. Comprehensive Professional Profiles

   • Identify and connect with key players, including hospital executives, medical directors, and department heads in the healthcare industry.
   • Access data on professional histories, certifications, and areas of expertise for precise targeting.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by hospital size, geographic location, or job function (administrative, medical, or operational).
   • Tailor campaigns to align with specific needs such as digital transformation, patient care solutions, or regulatory compliance.

3. Healthcare Industry Insights

   • Leverage data on operational trends, hospital management practices, and regional healthcare needs.
   • Refine product offerings and outreach strategies to address pressing challenges in the European healthcare market.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with healthcare professionals.

Strategic Use Cases:

1. Marketing and Outreach to Healthcare Executives

   • Promote healthcare IT solutions, medical devices, or operational efficiency tools to executives managing hospitals and clinics.
   • Use verified contact data for multi-channel outreach, including email, phone, and digital marketing.

2. Partnership Development and Collaboration

   • Build relationships with hospitals, healthcare providers, and medical institutions exploring strategic partnerships or new technology adoption.
   • Foster alliances that drive patient care improvements, cost savings, or operational efficiency.

3. Market Research and Competitive Analysis

   • Analyze trends in European healthcare to refine product development, marketing strategies, and engagement plans.
   • Benchmark against competitors to identify growth opportunities, underserved segments, and innovative solutions.

4. Recruitment and Workforce Solutions

   • Target HR professionals and hiring managers in healthcare institutions recruiting for administrative, medical, or operational roles.
   • Provide workforce optimization platforms, training solutions, or staffing services tailored to the healthcare sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality healthcare professional data at competitive prices, ensuring strong ROI for your marketing, sales, and strategic initiatives.

2. Seamless Integration
   ...

In 2024, Bumrungrad International Hospital ranked first among the leading hospitals in Thailand with a score of ** percent. In the same year, it was the only hospital from Thailand that placed 130th among the *** world's best hospitals on the Global Hospital Rating by Newsweek and Statista. Thailand is one of the most popular medical tourism hubs in Southeast Asia.

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

IntroductionIn confronting the sudden COVID-19 epidemic, China and other countries have been under great pressure to block virus transmission and reduce fatalities. Converting large-scale public venues into makeshift hospitals is a popular response. This addresses the outbreak and can maintain smooth operation of a country or region's healthcare system during a pandemic. However, large makeshift hospitals, such as the Shanghai New International Expo Center (SNIEC) makeshift hospital, which was one of the largest makeshift hospitals in the world, face two major problems: Effective and precise transfer of patients and heterogeneity of the medical care teams.MethodsTo solve these problems, this study presents the medical practices of the SNIEC makeshift hospital in Shanghai, China. The experiences include constructing two groups, developing a medical management protocol, implementing a multi-dimensional management mode to screen patients, transferring them effectively, and achieving homogeneous quality of medical care. To evaluate the medical practice performance of the SNIEC makeshift hospital, 41,941 infected patients were retrospectively reviewed from March 31 to May 23, 2022. Multivariate logistic regression method and a tree-augmented naive (TAN) Bayesian network mode were used.ResultsWe identified that the three most important variables were chronic disease, age, and type of cabin, with importance values of 0.63, 0.15, and 0.11, respectively. The constructed TAN Bayesian network model had good predictive values; the overall correct rates of the model-training dataset partition and test dataset partition were 99.19 and 99.05%, respectively, and the respective values for the area under the receiver operating characteristic curve were 0.939 and 0.957.ConclusionThe medical practice in the SNIEC makeshift hospital was implemented well, had good medical care performance, and could be copied worldwide as a practical intervention to fight the epidemic in China and other developing countries.

Hospital Real-Time Location Systems (RTLS) Market Outlook

The global hospital real-time location systems (RTLS) market size is anticipated to grow from USD 2.5 billion in 2023 to USD 7.6 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 14.5% during the forecast period. This rapid market growth is driven by the increasing need for efficient workflow management and enhanced patient care in healthcare facilities.

One of the primary factors fueling the growth of the hospital RTLS market is the escalating demand for improved patient safety and operational efficiency. Hospitals are increasingly adopting RTLS technology to enhance patient care by reducing wait times, preventing medication errors, and ensuring timely delivery of healthcare services. With the growing prevalence of chronic diseases and increasing patient admissions, the need for efficient asset and staff management has become critical, thereby driving the adoption of RTLS in healthcare settings.

Moreover, advancements in technology and the integration of IoT (Internet of Things) in the healthcare sector have significantly contributed to the growth of the RTLS market. The introduction of advanced technologies such as RFID (Radio Frequency Identification), Wi-Fi, Bluetooth, and ultrasound has revolutionized the way hospitals manage their resources. These technologies provide real-time tracking and monitoring capabilities, enabling healthcare providers to make informed decisions quickly and efficiently.

Another notable growth factor is the increasing government initiatives and funding to improve healthcare infrastructure. Governments across various regions are investing heavily in healthcare IT solutions, including RTLS, to enhance the quality of care and ensure patient safety. For instance, initiatives to implement electronic health records (EHR) and other digital health solutions are creating a favorable environment for the adoption of RTLS in hospitals and other healthcare facilities.

From a regional perspective, North America holds a significant share of the hospital RTLS market, attributed to the well-established healthcare infrastructure and high adoption rate of advanced technologies. Europe follows closely, with countries like Germany, France, and the UK investing substantially in healthcare IT solutions. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the increasing healthcare expenditure, growing awareness about the benefits of RTLS, and the rising number of hospitals and healthcare facilities in countries like China and India.

Component Analysis

The hospital RTLS market is segmented by components into hardware, software, and services. The hardware segment comprises tags, sensors, and other tracking devices essential for the implementation of RTLS in healthcare settings. The software segment includes the applications and platforms that facilitate the analysis and visualization of the data collected by the hardware components. Services encompass installation, maintenance, and consulting services necessary for the effective deployment and operation of RTLS solutions.

In the hardware segment, tags and sensors play a crucial role in tracking the location of assets, patients, and staff within the hospital premises. These devices are equipped with various technologies such as RFID, Wi-Fi, Bluetooth, and ultrasound to ensure accurate real-time tracking. The demand for advanced and miniaturized tags and sensors is on the rise, driven by the need for more precise and reliable tracking solutions in healthcare facilities.

The software segment is witnessing significant growth due to the increasing adoption of analytics and data visualization tools in healthcare. These software solutions enable healthcare providers to monitor and manage hospital operations effectively, leading to improved patient care and operational efficiency. The integration of RTLS with other healthcare IT systems, such as EHR and hospital information systems (HIS), is further driving the demand for advanced software solutions.

Services play a vital role in the successful implementation and operation of RTLS in hospitals. Installation services ensure that the hardware and software components are correctly set up and integrated with existing hospital systems. Maintenance services are essential to keep the RTLS infrastructure functioning optimally and to address any technical issues that may arise. Consulting services provide hospitals with expert guidance on the best practice

Integrated Geodatabase: The Global Catholic Foortprint of Healthcare and WelfareBurhans, Molly A., Mrowczynski, Jon M., Schweigel, Tayler C., and Burhans, Debra T., Wacta, Christine. The Catholic Foortprint of Care Around the World (1). GoodLands and GHR Foundation, 2019.Catholic Statistics Numbers:Annuarium Statisticum Ecclesiae – Statistical Yearbook of the Church: 1980 – 2018. LIBRERIA EDITRICE VATICAN.Historical Country Boundary Geodatabase:Weidmann, Nils B., Doreen Kuse, and Kristian Skrede Gleditsch. The Geography of the International System: The CShapes Dataset. International Interactions 36 (1). 2010.https://www.tandfonline.com/doi/full/10.1080/03050620903554614GoodLands created a significant new data set for GHR and the UISG of important Church information regarding orphanages and sisters around the world as well as healthcare, welfare, and other child care institutions. The data were extracted from the gold standard of Church data, the Annuarium Statisticum Ecclesiae, published yearly by the Vatican. It is inevitable that raw data sources will contain errors. GoodLands and its partners are not responsible for misinformation within Vatican documents. We encourage error reporting to us at data@good-lands.org or directly to the Vatican.GoodLands worked with the GHR Foundation to map Catholic Healthcare and Welfare around the world using data mined from the Annuarium Statisticum Eccleasiea. GHR supported the data development and GoodLands independently invested in the mapping of information.The workflows and data models developed for this project can be used to map any global, historical country-scale data in a time-series map while accounting for country boundary changes. GoodLands created proprietary software that enables mining the Annuarium Statisticum Eccleasiea (see Software and Program Library at our home page for details).The GHR Foundation supported data extraction and cleaning of this information.GoodLands’ supported the development of maps, infographics, and applications for all healthcare data.

In 2023, there were 5,177 hospital organizations operating in Russia, reflecting a slight increase from the previous year. This marks a decrease of 1,131 hospitals compared to 2010, highlighting a continuous decline from the peak of 6,343 hospitals in 2011. The number of hospitals has fluctuated over the years, with the lowest count recorded in 2021 at 5,072. Hospital bed density in Russia The density of hospital beds in Russia, measured as the number of beds per 10,000 population, saw a decrease in recent years and reached 77.5 in 2023. In fact, Russia has one of the highest hospital bed densities worldwide, ranking above other Central and Eastern European (CEE) countries. Russian health care in a global context In 2024, Russia ranked 14th among the countries with the best medical infrastructure and healthcare professionals (HCPs) with an index score exceeding that of Germany and Canada. Moreover, Russia ranked 14th in terms of medicine affordability and availability.

Neighborhood Hospitals Market size was valued at USD 158 Million in 2023 and is projected to reach USD 226 Million by 2031, at a CAGR of 6.1% from 2024 to 2031.

Global Neighborhood Hospitals Market Drivers

The market drivers for the Neighborhood Hospitals Market can be influenced by various factors. These may include:

Growing Need for Convenient Healthcare Services: Neighborhood hospitals serve the needs of their communities by providing easily accessible and convenient healthcare services. The need for nearby healthcare facilities is rising as a result of growing urbanization and hectic lives.' Attempts to Save Healthcare Costs: Due to their lower expenses and emphasis on offering basic services, neighborhood hospitals are frequently more affordable than large, traditional hospitals. Healthcare payers and providers looking to save costs overall and maximize resource utilization may find this cost-effectiveness appealing. Emphasis on Outpatient and Emergency Care: Community hospitals frequently concentrate on offering emergency care and outpatient services, meeting the demand for prompt access to healthcare for minor illnesses and accidents. This emphasis is in line with the growing global trend of healthcare systems placing more emphasis on primary care and preventative services. Technological Developments in Healthcare: Neighborhood hospitals are now able to provide a wide range of services in an efficient and effective manner because to developments in medical technology, including telemedicine, remote monitoring, and point-of-care diagnostics. In smaller healthcare settings, these technologies improve patient care and expedite clinical procedures. Population Growth and Aging Demographics: As the world's population rises, older people are becoming more prevalent, which is increasing need for healthcare services. Neighborhood hospitals, which offer easily accessible and individualized care close to people's homes, are in a good position to meet the healthcare demands of an older population. Government Support and Regulatory Policies: As part of larger healthcare reform programs, governments and regulatory authorities are encouraging the creation of neighborhood hospitals in many different nations. Investment in these facilities is encouraged by favorable policies, incentives, and regulatory frameworks, which propels market expansion. Partnerships and Collaborations: In order to establish and run community hospitals, healthcare providers, insurers, and investors are developing partnerships and collaborations. Through these partnerships, community hospital networks can reach a wider audience and have a greater impact, which stimulates market growth. Customer Preference for Community-Based Healthcare: People are becoming more and more interested in getting medical care in settings that are close to home and provide individualized attention. By developing close relationships with the local community and providing patient-centered care close to home, neighborhood hospitals satisfy this preference.

Medicare Spending per Beneficiary

Detailed Hospital Expense Breakdown

By Health [source]

About this dataset

This file allows healthcare executives and analysts to make informed decisions regarding how well continued improvements are being made over time so that they can understand how efficient they are fulfilling treatments while staying within budgetary constraints. Additionally, it’ll also help them map out trends amongst different hospitals and spot anomalies that could indicate areas where decisions should be reassessed as needed

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How to use the dataset

This dataset can provide valuable insights into how Medicare is spending per patient at specific hospitals in the United States. It can be used to gain a better understanding of the types of services covered under Medicare, and to what extent those services are being used. By comparing the average Medicare spending across different hospitals, users can also gain insight into potential disparities in care delivery or availability.

To use this dataset, first identify which hospital you are interested in analyzing. Then locate the row for that hospital in the dataset and review its associated values: value, footnote (optional), and start/end dates (optional). The Value column refers to how much Medicare spends on each particular patient; this is a numerical value represented as a decimal number up to 6 decimal places. The Footnote (optional) provides more information about any special circumstances that may need attention when interpreting the value data points. Finally, if Start Date and End Date fields are present they will specify over what timeframe these values were aggregated over.

Once all relevant data elements have been reviewed successively for all hospitals of interest then comparison analysis among them can be conducted based on Value, Footnote or Start/End dates as necessary to answer specific research questions or formulate conclusions about how Medicare is spending per patient at various hospitals nationwide

Research Ideas

• Developing a cost comparison tool for hospitals that allows patients to compare how much Medicare spends per patient across different hospitals.
• Creating an algorithm to help predict Medicare spending at different facilities over time and build strategies on how best to manage those costs.
• Identifying areas in which a hospital can save money by reducing unnecessary spending in order to reduce overall Medicare expenses

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Medicare_hospital_spending_per_patient_Medicare_Spending_per_Beneficiary_Additional_Decimal_Places.csv | Column name | Description | |:---------------|:--------------------------------------------------------------------------------------| | Value | The amount of Medicare spending per patient for a given hospital or region. (Numeric) | | Footnote | Any additional notes or information related to the value. (Text) | | Start_Date | The start date of the period for which the value applies. (Date) | | End_Date | The end date of the period for which the value applies. (Date) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Health.

Integrated Geodatabase: The Global Catholic Foortprint of Healthcare and WelfareBurhans, Molly A., Mrowczynski, Jon M., Schweigel, Tayler C., and Burhans, Debra T., Wacta, Christine. The Catholic Foortprint of Care Around the World (1). GoodLands and GHR Foundation, 2019.Catholic Statistics Numbers:Annuarium Statisticum Ecclesiae – Statistical Yearbook of the Church: 1980 – 2018. LIBRERIA EDITRICE VATICAN.Historical Country Boundary Geodatabase:Weidmann, Nils B., Doreen Kuse, and Kristian Skrede Gleditsch. The Geography of the International System: The CShapes Dataset. International Interactions 36 (1). 2010.https://www.tandfonline.com/doi/full/10.1080/03050620903554614GoodLands created a significant new data set for GHR and the UISG of important Church information regarding orphanages and sisters around the world as well as healthcare, welfare, and other child care institutions. The data were extracted from the gold standard of Church data, the Annuarium Statisticum Ecclesiae, published yearly by the Vatican. It is inevitable that raw data sources will contain errors. GoodLands and its partners are not responsible for misinformation within Vatican documents. We encourage error reporting to us at data@good-lands.org or directly to the Vatican.GoodLands worked with the GHR Foundation to map Catholic Healthcare and Welfare around the world using data mined from the Annuarium Statisticum Eccleasiea. GHR supported the data development and GoodLands independently invested in the mapping of information.The workflows and data models developed for this project can be used to map any global, historical country-scale data in a time-series map while accounting for country boundary changes. GoodLands created proprietary software that enables mining the Annuarium Statisticum Eccleasiea (see Software and Program Library at our home page for details).The GHR Foundation supported data extraction and cleaning of this information.GoodLands’ supported the development of maps, infographics, and applications for all healthcare data.