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 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.

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 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.

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 ****** hospitals in ** countries. Sahlgrenska Universitetssjukhuset in Göteborg and Akademiska Sjukhuset in Uppsala were ranked as second and third best respectively in the Sweden, 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.

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.

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.

HCAHPS Hospital Ratings Survey

Patient Experience Ratings 2018-2020

By Health [source]

About this dataset

This dataset contains ratings of hospitals, based on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS). This survey collects data from hospital patients on their experiences during an inpatient stay. The list includes several indicators to help gauge a hospital's quality, such as star ratings based on patient opinions and percentage of positive answers to HCAHPS questions. Additionally, there are measures such as the number of completed surveys, survey response rate percent and linear mean value which assist in evaluating patient experience at each medical institution. With this comprehensive dataset you can easily draw comparisons between hospitals and make informed decisions about healthcare services provided in your area

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For more datasets, click here.

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How to use the dataset

This dataset provides useful information on the quality of care that hospitals provide. This dataset provides ratings and reviews of several hospitals, making it easy to compare hospitals in order to find out which hospital may best meet your needs.

The following guide will walk you through how to use this dataset effectively:

• Navigate the different columns available in this dataset by scrolling through the table. These include Hospital Name, Address, City, State, ZIP Code, County Name, Phone Number and HCAHPS Question among others.
• Examine important information such as the patient survey star rating and HCAHPS linear mean value for each hospital included in the dataset in order to evaluate it's performance against other hospitals based on standards set out by HCAHPS .
• Read any footnotes associated with each column carefully in order to fully understand what exactly is being measured. These may directly affect your evaluation of a particular hospital’s performance compared to others included in this dataset or even more so when compared against external sources of data outside this dataset such as other surveys or studies related to health care quality measurement metrics within that state or region where applicable & relevant (i..e Measure Start Date and Measure End Date).

• Pay careful attention also when evaluating factors related to survey response rates (e..g Survey Response Rate Percent Footnote) & what percentages are being reported here within each category; these figures may selectively bias results so ensure full transparency is achieved by reviewing all potential influencing factors/variables prior commencing investigations/data analysis/interpretation based upon this data-set alone(or any subset thereof).

  By following these steps you should be able set up your own criteria for measuring various aspects of health care quality across different states & cities - ensuring optimal access & safety measures for both patients & healthcare providers alike over time - thus ultimately aiding decision making processes towards improved patient outcomes worldwide!

Research Ideas

• Tracking patient experience trends over time: This dataset can be used to analyze trends in patient experience over time by identifying changes in survey responses, star ratings, and response rates across hospitals.
• Establishing a benchmark for high-quality hospital care: By studying the scores of the top-performing hospitals within each category, healthcare administrators can set standards and benchmarks for quality of care in their own hospitals.
• Comparing hospital ratings to inform decision making: Patients and family members looking to book an appointment at a hospital or doctors office can use this dataset to compare different facilities’ HCAHPS scores and make an informed decision about where they would like to go for their medical treatment

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 int...

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 **** best hospital in the world, among over ****** hospitals in ** 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 ***** and ***** best respectively in the World.

Hospital Security Systems Market Outlook

According to our latest research, the global hospital security systems market size stood at USD 12.6 billion in 2024, reflecting robust investments in healthcare infrastructure and heightened security concerns. The market is projected to grow at a CAGR of 10.2% during the forecast period, reaching approximately USD 30.9 billion by 2033. This strong growth trajectory is primarily driven by the increasing need for comprehensive security solutions to safeguard patients, staff, assets, and sensitive data in hospital environments.

The growth of the hospital security systems market is underpinned by a convergence of technological advancements and regulatory mandates. Hospitals are increasingly integrating advanced video surveillance, access control, and intrusion detection systems to mitigate risks associated with unauthorized access, theft, and violence. The proliferation of connected medical devices and the digitization of patient records have made security systems not only a physical necessity but also a critical component of overall hospital risk management. Furthermore, the COVID-19 pandemic has accelerated the adoption of touchless security and monitoring solutions, as healthcare facilities strive to minimize infection risks while maintaining stringent security protocols. These factors collectively contribute to the sustained expansion of the market.

Another significant growth factor is the rising incidence of workplace violence and theft in healthcare settings, which has made security a top priority for hospital administrators worldwide. The increasing value of medical equipment and pharmaceuticals, coupled with the sensitive nature of patient data, has necessitated the deployment of multilayered security systems. Hospitals are now investing in integrated solutions that combine physical security with cybersecurity measures, enabling real-time monitoring, rapid response, and comprehensive incident management. The growing emphasis on patient and staff safety, asset protection, and regulatory compliance continues to drive demand for advanced hospital security systems across the globe.

Additionally, government initiatives and industry standards are playing a pivotal role in shaping the hospital security systems market. Regulatory frameworks such as HIPAA in the United States and GDPR in Europe mandate stringent data protection and privacy protocols, compelling hospitals to deploy robust security infrastructures. The increasing availability of funding for healthcare modernization, particularly in emerging economies, is further propelling market growth. As hospitals expand and upgrade their facilities, the integration of smart security systems is becoming an essential aspect of infrastructure development, ensuring both compliance and operational efficiency.

From a regional perspective, North America currently dominates the hospital security systems market, driven by high healthcare spending, advanced technological adoption, and strict regulatory requirements. However, the Asia Pacific region is emerging as a lucrative market, with rapid healthcare infrastructure development and increasing awareness of security threats. Europe remains a significant contributor, particularly due to its focus on data privacy and patient safety. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth, supported by government initiatives and investments in healthcare modernization. Each region presents unique opportunities and challenges, shaping the global landscape of hospital security systems.

In addition to these advancements, the concept of Health Security has become increasingly vital in the context of hospital security systems. Health Security encompasses not only the physical protection of hospital infrastructure but also the safeguarding of public health through the prevention of disease and the management of health emergencies. As hospitals integrate more sophisticated security technologies, there is a growing emphasis on ensuring that these systems also contribute to the broader goals of Health Security. This involves enhancing the resilience of healthcare facilities against both physical and biological threats, ensuring that hospitals can continue to operate effectively during crises such as pandemics or natural disasters. By aligning security measures with public health objectives, hospitals can better pro

The global sales of hospital consumables are estimated to be worth USD 421.8 billion in 2025 and anticipated to reach a value of USD 578.0 billion by 2035. Sales are projected to rise at a CAGR of 3.2% over the forecast period between 2025 and 2035. The revenue generated by hospital consumables in 2024 was USD 408.8 billion.

Attributes	Key Insights
Historical Size, 2024	USD 408.8 billion
Estimated Size, 2025	USD 421.8 billion
Projected Size, 2035	USD 578.0 billion
Value-based CAGR (2025 to 2035)	3.2%

Semi-Annual Market Update for the Global Hospital Consumables Market

Particular	Value CAGR
H1	3.9% (2024 to 2034)
H2	3.6% (2024 to 2034)
H1	3.2% (2025 to 2035)
H2	2.7% (2025 to 2035)

Analysis of Top Countries Manufacturing and Supplying Hospital Consumables

Countries	Value CAGR (2025 to 2035)
United States	1.5%
Germany	1.7%
China	5.4%
France	2.2%
India	5.8%
Spain	2.9%
Australia & New Zealand	3.1%
South Korea	4.2%

Hospital Consumables Industry Analysis by Top Investment Segments

By Product	Wound Care Products
Value Share (2025)	16.7%

By End User	Hospitals
Value Share (2025)	26.1%

Context

The COVID-19 pandemic has placed an unprecedented strain on health systems, with rapidly increasing demand for healthcare in hospitals and intensive care units (ICUs) worldwide. As the pandemic escalates, determining the resulting needs for healthcare resources (beds, staff, equipment) has become a key priority for many countries. Projecting future demand requires estimates of how long patients with COVID-19 need different levels of hospital care. While healthcare management has various use cases for using data science, patient length of stay is one critical parameter to observe and predict if one wants to improve the efficiency of the healthcare management in a hospital.

This parameter helps hospitals to identify patients of high LOS risk (patients who will stay longer) at the time of admission. Once identified, patients with high LOS risk can have their treatment plan optimized to miminize LOS and lower the chance of staff/visitor infection. Also, prior knowledge of LOS can aid in logistics such as room and bed allocation planning.

The problem is to manage the functioning of Hospitals in a professional and optimal manner. #
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Content

The task is to accurately predict the Length of Stay for each patient on case by case basis so that the Hospitals can use this information for optimal resource allocation and better functioning. The length of stay is divided into 11 different classes ranging from 0-10 days to more than 100 days.

Data : host_train.csv – File containing features related to patient, hospital and Length of stay on case basis

For each record in the dataset the following is provided::

• case_id
• Hospital
• Hospital_type
• Hospital_city
• Hospital_region
• Available-Extra-Rooms-in-Hospital | Number of Extra rooms available in the Hospital
• Department | Department overlooking the case | ['radiotherapy' 'anesthesia' 'gynecology' 'TB & Chest disease' 'surgery']
• Ward_Type | ['R' 'S' 'Q' 'P' 'T' 'U']
• Ward_Facility | ['F' 'E' 'D' 'B' 'A' 'C']
• Bed_Grade | Condition of Bed in the Ward
• patientid
• City_Code_Patient | City Code for the patient
• Type of Admission | Admission Type registered by the Hospital | ['Emergency' 'Trauma' 'Urgent']
• Illness_Severity | Severity of the illness recorded at the time of admission | ['Extreme' 'Moderate' 'Minor']
• Patient_Visitors
• Age | Age category | ['51-60' '71-80' '31-40' '41-50' '81-90' '61-70' '21-30' '11-20' '0-10' '91-100']
• Admission_Deposit |Deposit at the Admission Time
• Stay_Days | Stay Days by the patient (target) | ['0-10' '41-50' '31-40' '11-20' '51-60' '21-30' '71-80' 'More than 100 Days' '81-90' '61-70' '91-100']

Starter Kernels

• EDA and Random Forest Benchmark

Inspiration

• Predict the Length of Stay for each patient
• Interpret best model(s) and mine influence factors in LOS risk

More References

• COVID-19 length of hospital stay
• A retrospective cohort study in a Fangcang shelter hospital

Hospital-at-Home Orchestration Market Outlook

According to our latest research, the Global Hospital-at-Home Orchestration market size was valued at $4.8 billion in 2024 and is projected to reach $18.7 billion by 2033, expanding at a robust CAGR of 16.2% during 2024–2033. The primary driver fueling the expansion of this market is the increasing global demand for cost-effective, patient-centric healthcare delivery models, which can significantly reduce hospital readmissions and optimize resource utilization. As healthcare systems worldwide face mounting pressure to address rising chronic disease prevalence and aging populations, the adoption of hospital-at-home orchestration solutions is gaining momentum, offering a scalable and technologically advanced alternative to traditional inpatient care.

Regional Outlook

North America currently dominates the hospital-at-home orchestration market, holding the largest share of global revenue, estimated at over 38% in 2024. This commanding position is attributed to the region's mature healthcare infrastructure, high penetration of advanced digital health technologies, and proactive policy frameworks supporting value-based care models. The United States, in particular, has witnessed substantial investments from both public and private sectors, fostering rapid deployment and scaling of hospital-at-home programs. Favorable reimbursement policies, robust telehealth adoption, and a strong ecosystem of technology vendors and service providers further solidify North America's leadership in the global landscape, making it a benchmark for innovation and best practices in the field.

Asia Pacific is emerging as the fastest-growing region in the hospital-at-home orchestration market, projected to register a remarkable CAGR of 19.5% during the forecast period. This growth is underpinned by a confluence of factors, including rapidly increasing healthcare expenditures, a burgeoning middle class, and accelerated digital transformation across key markets such as China, Japan, and India. Governments and private healthcare entities are investing heavily in telemedicine infrastructure and remote monitoring technologies to address gaps in access to quality care, particularly in rural and underserved areas. The region’s dynamic start-up ecosystem, combined with strategic partnerships and international collaborations, is driving innovation and expanding the reach of hospital-at-home solutions at an unprecedented pace.

In contrast, emerging economies in Latin America, the Middle East, and Africa are experiencing a more gradual adoption curve for hospital-at-home orchestration solutions. These regions face unique challenges, including limited healthcare infrastructure, varying degrees of digital literacy, and regulatory complexities that can hinder market penetration. Nonetheless, growing awareness of the benefits of decentralized care, coupled with targeted policy reforms and pilot programs, is gradually paving the way for broader acceptance. Localized solutions tailored to specific demographic and epidemiological needs are gaining traction, with international aid and technology transfer initiatives playing a pivotal role in overcoming initial barriers to adoption.

Report Scope

Attributes	Details
Report Title	Hospital-at-Home Orchestration Market Research Report 2033
By Component	Software, Services, Devices
By Care Model	Acute Care, Post-Acute Care, Chronic Disease Management, Palliative Care, Others
By End-User	Hospitals, Home Care Agencies, Health Systems, Others
By Delivery Mode	On-Premises, Cloud-Based
Regions Covered	North America, Europe, Asia Pacific, Latin America and Middle East & Africa </td

Success.ai’s Healthcare Industry Leads Data empowers businesses and organizations to connect with key decision-makers and stakeholders in the global healthcare and pharmaceutical sectors. Leveraging over 170 million verified professional profiles and 30 million company profiles, this dataset includes detailed contact information, firmographic insights, and leadership data for hospitals, clinics, biotech firms, medical device manufacturers, pharmaceuticals, and other healthcare-related enterprises. Whether your goal is to pitch a new medical technology, partner with healthcare providers, or conduct market research, Success.ai ensures that your outreach and strategic planning are guided by reliable, continuously updated, and AI-validated data.

Why Choose Success.ai’s Healthcare Industry Leads Data?

1. Comprehensive Contact Information

   • Access verified work emails, phone numbers, and LinkedIn profiles of healthcare administrators, pharmaceutical executives, R&D directors, procurement officers, and medical staff.
   • AI-driven validation ensures 99% accuracy, reducing wasted efforts and fostering efficient communication.

2. Global Reach Across Healthcare Segments

   • Includes profiles from hospitals, private clinics, pharmaceutical companies, biotech startups, research institutions, and medical supply chain partners.
   • Covers North America, Europe, Asia-Pacific, South America, and the Middle East, enabling a global perspective on healthcare systems and opportunities.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, organizational shifts, and emerging trends in patient care, medical innovation, and regulatory compliance.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring your data usage respects legal standards and patient confidentiality norms.

Data Highlights:

• 170M+ Verified Professional Profiles: Connect with healthcare and pharmaceutical professionals, decision-makers, and influencers worldwide.
• 50M Work Emails: AI-validated for direct, accurate communication and reduced bounce rates.
• 30M Company Profiles: Gain insights into organizational structures, operational scales, and specialization areas.
• 700M Global Professional Profiles: Enriched datasets to support market analysis, product development, and strategic planning.

Key Features of the Dataset:

1. Healthcare Decision-Maker Profiles

   • Identify and engage with CEOs, CIOs, CFOs, chief medical officers, hospital administrators, clinical directors, and procurement specialists.
   • Target professionals who influence equipment purchases, medical supply chain decisions, drug trial approvals, and healthcare delivery models.

2. Detailed Business Profiles

   • Access firmographic data, including company sizes, revenue ranges, key markets, and service lines for a holistic understanding of target organizations.
   • Leverage comprehensive insights to position your products, services, or solutions as tailored fits for specific operational needs.

3. Advanced Filters for Precision Targeting

   • Filter by region, specialty (oncology, cardiology, diagnostics, etc.), hospital size, pharmaceutical focus, or research areas.
   • Align campaigns with unique healthcare demands, reimbursement models, and regulatory environments.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight value propositions, and enhance engagement outcomes with healthcare stakeholders.

Strategic Use Cases:

1. Sales and Business Development

   • Present medical devices, pharma products, or healthcare IT solutions to hospital administrators, chief medical officers, and procurement managers.
   • Build relationships with decision-makers who oversee budgeting, supplier selection, and patient care initiatives.

2. Market Research and Product Innovation

   • Analyze trends in patient treatments, drug pipelines, and healthcare infrastructure to inform R&D and product roadmaps.
   • Identify emerging specialties, new treatment modalities, and growth markets to focus marketing, sales, and investment efforts.

3. Strategic Partnerships and Alliances

   • Connect with R&D directors, biotech executives, or hospital groups to explore collaborations, clinical trials, and joint ventures.
   • Foster partnerships that accelerate product development, enhance patient outcomes, and drive long-term competitiveness.

4. Recruitment and Talent Acquisition

   • Target HR professionals and department heads seeking qualified medical staff, researchers, pharmaceutical reps, and administrative personnel.
   • Offer staffing, training, or professional development services to healthcare institutions aiming to improve service delivery and compliance.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access high-quality, verified data at...

DISCLAIMER

Dataset consists of historical data of pre-pandemic period and doesn’t represent the current reality which may have changed due to the spikes in demand. This dataset has been generated in collaboration of efforts within CoronaWhy community.

Context

Last updated: April 26th 2020 Updates: April 14th 2020 - Added missing population data April 15th 2020 - Added Brazil statewise ICU hospital beds dataset April 21th 2020 - Added Italy, Spain statewise ICU hospital beds dataset, India statewise TOTAL hospital beds dataset April 26th 2020 - Added Sweden ICU(2019) and TOTAL(2018) beds datasets

Purpose of the dataset

I am trying to produce a dataset that will provide a foundation for policymakers to understand the realistic capacity of healthcare providers being able to deal with the spikes in demand for intensive care. As a way to help, I’ve prepared a dataset of beds across countries and states. Work in progress dataset that should and will be updated as more data becomes available and public on weekly basis.

Importance

This dataset is intended to be used as a baseline for understanding the typical bed capacity and coverage globally. This information is critical for understanding the impact of a high utilization event, like COVID-19.

Current challenges

Datasets are scattered across the web and are very hard to normalize, I did my best but help would be much appreciated.

Data sources / Acknowledgments

arcgis (USA) - https://services1.arcgis.com/Hp6G80Pky0om7QvQ/arcgis/rest/services/Hospitals_1/FeatureServer/0 KHN (USA) - https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/ datahub.io (World) - https://datahub.io/world-bank/sh.med.beds.zs eurostat - https://data.europa.eu/euodp/en/data/dataset/vswUL3c6yKoyahrvIRyew OECD - https://data.oecd.org/healtheqt/hospital-beds.htm WDI (World) - https://data.worldbank.org/indicator/SH.MED.BEDS.ZS NHP(India) - http://www.cbhidghs.nic.in/showfile.php?lid=1147 data.gov.sg (Singapore) - https://data.gov.sg/dataset/health-facilities?view_id=91b4feed-dcb9-4720-8cb0-ac2f04b7efd0&resource_id=dee5ccce-4dfb-467f-bcb4-dc025b56b977 dati.salute.gov.it (Italy)- http://www.dati.salute.gov.it/dati/dettaglioDataset.jsp?menu=dati&idPag=96 portal.icuregswe.org (Sweden) - https://portal.icuregswe.org/seiva/en/Rapport publications: Intensive Care Medicine Journal (Europe) - https://link.springer.com/article/10.1007/s00134-012-2627-8 Critical Care Medicine Journal (Asia) - https://www.researchgate.net/figure/Number-of-critical-care-beds-per-100-000-population_fig1_338520008 Medicina Intensiva (Spain) - https://www.medintensiva.org/en-pdf-S2173572713000878 news: https://lanuovaferrara.gelocal.it/italia-mondo/cronaca/2020/03/19/news/dietro-la-corsa-a-nuovi-posti-in-terapia-intensiva-gli-errori-del-passato-1.38611596 kaggle: germany - https://www.kaggle.com/manuelblechschmidt/icu-beds-in-germany brazil (IBGE) - https://www.kaggle.com/thiagobodruk/brazilianstates Manual population data search from wiki

Data columns

country,state,county,lat,lng,type,measure,beds,population,year,source,source_url - country - country of origin, if present - state - more granular location, if present - lat - latitude - lng - longtitude - type - [TOTAL, ICU, ACUTE(some data could include ICU beds too), PSYCHIATRIC, OTHER(merged ‘SPECIAL’, ‘CHRONIC DISEASE’, ‘CHILDREN’, ‘LONG TERM CARE’, ‘REHABILITATION’, ‘WOMEN’, ‘MILITARY’] - measure - type of measure (per 1000 inhabitants) - beds - number of beds per 1000 - population - population of location based on multiple sources and wikipedia - year - source year for beds and population data - source - source of data - source_url - URL of the original source

Files

for each of datasource: hospital_beds_per_source.csv

US only: US arcgis + khn (state/county granularity): hospital_beds_USA.csv

Global (state(region)/county granularity): hospital_beds_global_regional.csv

Global (country granularity): hospital_beds_global_v1.csv

Contributors

Igor Kiulian - extracting/normalizing/formatting/merging data Artur Kiulian - helped with Kaggle setup Augaly S. Kiedi - helped with country population data Kristoffer Jan Zieba - found Swedish data sources

Possible Improvements

Find and megre more detailed (state/county wise) or newer datasource

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.

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.

354 Global import shipment records of Hospital Good with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.