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

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.

According to a hospital ranking carried out in 2022 and based on seven different dimensions, Hospital Israelita Albert Einstein was considered the hospital with the highest care quality in Latin America. Located in São Paulo - Brazil, this health institution reached a quality index score of 93.46. Hospital Sírio-Libanês also located in Brazil, ranked second, with a score of 71.75. Latin American hospitals and their capacity to host patients When it comes to hosting patients, hospitals Irmandade da Santa Casa de Misericórdia de Porto Alegre located in Brazil, and Sanatorio Guemes based in Argentina, ranked among the leading hospitals in Latin America as of 2022. It was estimated that Brazil and Argentina were the two Latin American countries with the highest number of hospital beds in the region in 2020, with more than 448,000 and 234,000 hospital beds, respectively. Public opinion on healthcare quality It was also Argentina that had the highest share of satisfied patients among a selection of countries in Latin America according to a 2023 survey, with 50 percent of interviewees stating they had accessed a good or very good healthcare service. Colombian patients followed, with four out of ten people satisfied with the healthcare received. Accordingly, a recent study estimated that nearly half of the population in Argentina and Colombia distrusted the healthcare system, with approximately 47 percent and 50 percent of respondents claiming they trust the health systems in their respective countries.

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.

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 28 January 2022.

--- 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 ---

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.

Number of public and private hospitals and number of beds avaiable in the spanish sanitary system in 1970. Information about funding sources or sponsorship that supported the collection of the data: Financial support from the European Union, the European Regional Development Fund (ERDF), and Spain���s Ministry of Science and Innovation -State Research Agency- for the project entitled "The historical keys of hospital development in Spain and its international comparison during the twentieth century", Ref. RTI2018-094676-B-I00.

Context

I wanted to analyze the road accidents and hospital coverage of them. While I wanted to do for India, in lack of geo tagged accidents data for India, I decided to go for UK(being developed countries, they have highest level of digitisation and availability of free data). I could get the hospitals data for United Kingdom.

Content

This contains the details of all the hospitals in Great Britain.

Acknowledgements

Original hospital data can be found at below: https://data.gov.uk/dataset/f4420d1c-043a-42bc-afbc-4c0f7d3f1620/hospitals

Inspiration

Inspired from Geospatial microcourse by Alexis, I completed at Kaggle: https://www.kaggle.com/learn/geospatial-analysis

Used to do proximity analysis, to find the nearest hospital

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.

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
   ...

Observational data from March 2020 to May 2020 of COVID-19 ICU outcomes at a US-MX hospital.

This table contains 12960 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada; Nova Scotia; Prince Edward Island; Newfoundland and Labrador ...), Age group (12 items: Total; 15 years and over;15-19 years;20-24 years;20-34 years ...), Sex (3 items: Both sexes; Females; Males ...), Patient satisfaction - hospital care (3 items: Received hospital care in past 12 months; Quality of hospital care received rated as excellent or good; Very or somewhat satisfied with hospital care received ...), Characteristics (8 items: Number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons; Low 95% confidence interval - number of persons ...).

Micro-Hospitals Market Outlook

The global micro-hospitals market size was valued at approximately USD 8.4 billion in 2023 and is projected to reach USD 13.8 billion by 2032, exhibiting a robust compound annual growth rate (CAGR) of 5.6% during the forecast period. This growth is driven by an increasing demand for accessible healthcare services and the rising need for cost-effective healthcare delivery models. Micro-hospitals, which serve as a bridge between larger hospitals and outpatient facilities, offer a comprehensive range of services on a smaller scale. They are strategically positioned to meet the demand for healthcare services in underserved urban, suburban, and rural areas, providing a crucial solution in an ever-evolving healthcare landscape.

Several factors are propelling the growth of the micro-hospitals market. Foremost among these is the escalating need for healthcare accessibility. Traditional large-scale hospitals often face challenges such as overcrowding and long wait times, which can hinder timely patient care. Micro-hospitals address this issue by offering critical services such as emergency care, inpatient, and outpatient services in strategically selected locations, ensuring that patients receive timely and efficient medical attention. Moreover, the shift towards value-based care, which emphasizes quality and efficiency, further underscores the appeal of micro-hospitals as they are designed to deliver targeted care with reduced operational costs.

Another significant growth factor is the rising prevalence of chronic diseases, which necessitates continuous and accessible healthcare services. Micro-hospitals, due to their versatility and efficiency, are well-suited to cater to patients requiring ongoing care for chronic conditions, thereby reducing the need for repeated visits to larger hospitals. Additionally, technological advancements have enabled micro-hospitals to integrate sophisticated healthcare solutions, including telemedicine and electronic health records, which enhance patient care while streamlining operations. This technological integration not only improves patient outcomes but also reduces the burden on larger healthcare systems, thereby increasing the demand for micro-hospitals.

The economic feasibility of micro-hospitals also contributes significantly to their market growth. Compared to traditional hospitals, micro-hospitals are less expensive to operate and require lower capital investment, making them an attractive option for healthcare providers looking to optimize their resources. They offer a scalable model that can be tailored to meet the specific needs of different communities, whether urban, suburban, or rural. This scalability allows for a flexible expansion of services and facilities, further fueling the global expansion of the micro-hospitals market. Furthermore, policy reforms favoring healthcare access and affordability are boosting the establishment of micro-hospitals, particularly in regions where healthcare infrastructure is still developing.

Regionally, North America dominates the micro-hospitals market due to the presence of a well-established healthcare infrastructure and the increasing adoption of innovative healthcare delivery models. However, there is significant growth potential in the Asia Pacific region, which is expected to witness the highest CAGR during the forecast period. This growth is driven by the rising healthcare needs of a burgeoning population, increasing investment in healthcare infrastructure, and supportive government policies. Europe and Latin America are also anticipated to contribute to market expansion, driven by healthcare system reforms and a focus on improving healthcare accessibility and efficiency.

Service Type Analysis

In the micro-hospitals market, the service type segment encompasses a variety of service offerings including emergency care, inpatient care, outpatient care, surgical services, and others. Each of these services plays a crucial role in the overall functionality and appeal of micro-hospitals. Emergency care services are often the cornerstone of micro-hospitals, providing essential and immediate medical attention to patients in need. These services are designed to handle a wide range of medical emergencies, offering rapid diagnosis and treatment, which is vital for improving patient outcomes. The design of micro-hospitals allows for quicker patient admission and treatment processes, which can be a critical factor in life-threatening situations.

Inpatient care services in micro-hospitals offer an alternative to traditional hospital stays. These facilities provide pat

Financial overview and grant giving statistics of Good Samaritan Hospital Medical Center

Attrition of nurses in the US Healthcare system is at an all-time high. It is a major area of focus, especially for hospitals.

This dataset contains employee and company data useful for supervised ML, unsupervised ML, and analytics. Attrition - whether an employee left or not - is included and can be used as the target variable.

The data is synthetic and based on the IBM Watson dataset for attrition. Employee roles and departments were changed to reflect the healthcare domain. Also, known outcomes for some employees were changed to help increase the performance of ML models.

Here's an app I use as a demo based on this dataset and an ML classification model.

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This is an adapted version of the original National Household Survey - Wave 1 whereby existing variables were recoded to create new variables for the purpose of a new analysis.

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.

Since 2005, the Diagnosis Related Groups (DRG) statistics have provided annual information on morbidity events and morbidity trends in inpatient care, as well as on the volume and structure of demand for services, over and above the existing official hospital statistics. In particular, type of illness, case-flat-rate hospital statistic (DRGs), operations and procedures as well as length of stay and department are collected.

The aggregated data are freely accessible.

Financial overview and grant giving statistics of Medical Dental Staff Good Samaritan Hospital

This study is to investigate the effect of public reporting of acute myocardial infarction (AMI) care on the people’s choice of hospitals. A cross-sectional study was conducted using an online questionnaire. The survey questions include the awareness and usage of public reporting, and the impact of the public reporting on the choice of hospitals. The difference in responses before and after acquiring information about public reporting was compared using multinomial logistic regression. Following a thorough validity check, 740 respondents are included in the final survey data set. The average age of respondents was 38.7 years (SD: 11.8), with 75.3% being female. Age distribution was as follows: 26.3% in their 20s, 23.5% in their 30s, 30.0% in their 40s, and 20.2% in their 50s. Most participants (73.7%) lived in metropolitan areas, and 75.1% had a university degree or higher. Before providing information about public reporting of AMI care, 62.8% of respondents selected ‘nearby hospitals’ as the best option for AMI patients, followed by ‘famous hospitals’, ‘usual hospital’, and ‘hospitals with good rates’. Non-health-related occupation shows significantly changed results of hospital choice between before and after obtaining public reporting information (p