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.

In 2023, Singapore dominated the ranking of the world's health and health systems, followed by Japan and South Korea. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The health and health system index score of the top ten countries with the best healthcare system in the world ranged between 82 and 86.9, measured on a scale of zero to 100.

Global Health Security Index  Numerous health and health system indexes have been developed to assess various attributes and aspects of a nation's healthcare system. One such measure is the Global Health Security (GHS) index. This index evaluates the ability of 195 nations to identify, assess, and mitigate biological hazards in addition to political and socioeconomic concerns, the quality of their healthcare systems, and their compliance with international finance and standards. In 2021, the United States was ranked at the top of the GHS index, but due to multiple reasons, the U.S. government failed to effectively manage the COVID-19 pandemic. The GHS Index evaluates capability and identifies preparation gaps; nevertheless, it cannot predict a nation's resource allocation in case of a public health emergency.

Universal Health Coverage Index  Another health index that is used globally by the members of the United Nations (UN) is the universal health care (UHC) service coverage index. The UHC index monitors the country's progress related to the sustainable developmental goal (SDG) number three. The UHC service coverage index tracks 14 indicators related to reproductive, maternal, newborn, and child health, infectious diseases, non-communicable diseases, service capacity, and access to care. The main target of universal health coverage is to ensure that no one is denied access to essential medical services due to financial hardships. In 2021, the UHC index scores ranged from as low as 21 to a high score of 91 across 194 countries. 

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.

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

AdventHealth Orlando in Florida stands as the largest hospital in the United States, boasting an impressive 2,247 beds as of August 2024. This expansive facility exemplifies the scale of modern healthcare infrastructure, with Jackson Memorial Hospital, also in Florida, following as the second-largest. Evolving landscape of U.S. hospitals Despite the decline in the total number of hospitals since 1980, the healthcare sector continues to grow in other ways. U.S. hospitals now employ about 7.5 million workers and generate a gross output of around 1,161 billion U.S. dollars. The Hospital Corporation of America, based in Nashville, Tennessee, leads the pack as the largest health system in the country, operating 222 hospitals as of February 2025. This reflects a trend towards consolidation and the rise of for-profit hospital chains, which gained prominence in the 1990s. Specialization and emergency care While bed count is one measure of hospital size, institutions also distinguish themselves through specialization and emergency care capabilities. For instance, the University of California at Los Angeles Medical Center performed 22,287 organ transplants between January 1988 and March 2025, making it the leading transplant center in the nation. In terms of emergency care, Parkland Health and Hospital System in Dallas recorded the highest number of emergency department visits in 2022, with 226,178 patients seeking urgent care.

As of February 2025, the Hospital Corporation of America, based in Nashville, Tennessee, was the largest health system in the United States, with a total of 222 hospitals. HCA Healthcare is also the largest U.S. health system when ranked by the number of beds and, as expected, by net patient revenue.Hospitals in the United StatesCurrently, there are approximately 6,120 hospitals in the United States. Looking over the past decades, this figure was constantly decreasing. For example, there were nearly 7,000 hospitals in 1980. There are some 5.3 million persons employed in U.S. hospitals in full-time. Contrary to the decrease in the number of hospitals, employment has been increasing steadily. According to the Bureau of Economic Analysis, U.S. hospitals generate a total gross output of around 1,075 billion U.S. dollars. The largest portion of U.S. hospitals are non-profit facilities. A smaller share includes private-owned for-profit hospitals. In most cases, these hospitals are part of hospital chains. For-profit hospitals developed especially in the 1990s, with the aim to gain profit for their shareholders. The Hospital Corporation of America, based in Nashville, Tennessee, is the U.S. for-profit hospital operator with the highest number of hospitals.

US Healthcare Readmissions and Mortality

Evaluating Hospital Performance

By Health [source]

About this dataset

This dataset contains detailed information about 30-day readmission and mortality rates of U.S. hospitals. It is an essential tool for stakeholders aiming to identify opportunities for improving healthcare quality and performance across the country. Providers benefit by having access to comprehensive data regarding readmission, mortality rate, score, measure start/end dates, compared average to national as well as other pertinent metrics like zip codes, phone numbers and county names. Use this data set to conduct evaluations of how hospitals are meeting industry standards from a quality and outcomes perspective in order to make more informed decisions when designing patient care strategies and policies

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How to use the dataset

This dataset provides data on 30-day readmission and mortality rates of U.S. hospitals, useful in understanding the quality of healthcare being provided. This data can provide insight into the effectiveness of treatments, patient care, and staff performance at different healthcare facilities throughout the country.

In order to use this dataset effectively, it is important to understand each column and how best to interpret them. The ‘Hospital Name’ column displays the name of the facility; ‘Address’ lists a street address for the hospital; ‘City’ indicates its geographic location; ‘State’ specifies a two-letter abbreviation for that state; ‘ZIP Code’ provides each facility's 5 digit zip code address; 'County Name' specifies what county that particular hospital resides in; 'Phone number' lists a phone contact for any given facility ;'Measure Name' identifies which measure is being recorded (for instance: Elective Delivery Before 39 Weeks); 'Score' value reflects an average score based on patient feedback surveys taken over time frame listed under ' Measure Start Date.' Then there are also columns tracking both lower estimates ('Lower Estimate') as well as higher estimates ('Higher Estimate'); these create variability that can be tracked by researchers seeking further answers or formulating future studies on this topic or field.; Lastly there is one more measure oissociated with this set: ' Footnote,' which may highlight any addional important details pertinent to analysis such as numbers outlying National averages etc..

This data set can be used by hospitals, research facilities and other interested parties in providing inciteful information when making decisions about patient care standards throughout America . It can help find patterns about readmitis/mortality along county lines or answer questions about preformance fluctuations between different hospital locations over an extended amount of time. So if you are ever curious about 30 days readmitted within US Hospitals don't hesitate to dive into this insightful dataset!

Research Ideas

• Comparing hospitals on a regional or national basis to measure the quality of care provided for readmission and mortality rates.
• Analyzing the effects of technological advancements such as telemedicine, virtual visits, and AI on readmission and mortality rates at different hospitals.
• Using measures such as Lower Estimate Higher Estimate scores to identify systematic problems in readmissions or mortality rate management at hospitals and informing public health care policy

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: Readmissions_and_Deaths_-_Hospital.csv | Column name | Description | |:-------------------------|:---------------------------------------------------------------------------------------------------| | Hospital Name ...

[250 Pages Report] The global demand for hospital supplies is expected to increase at 3.7% CAGR over the forecast period from 2022 to 2032. Sales in the hospital supplies market are estimated to reach a valuation of US$ 29.5 Billion in 2022. According to the study, hospitals held a substantial share of 47.2% in 2021 in the global hospital supplies market.

Scope Of Report

According to Cognitive Market Research, the global Modular Hospital market size will be USD 6512.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.30% from 2024 to 2031.

North America held the major market share, more than 40% of the global revenue, with a market size of USD 2604.88 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 6.5% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 1953.66 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1497.81 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2024 to 2031.
Latin America's market will have more than 5% of the global revenue with a market size of USD 325.61 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
The Middle East and Africa held the major market share of around 2% of the global revenue, with a market size of USD 130.24 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Steel held the highest Modular Hospital market revenue share in 2024.

Key Drivers of Modular Hospital Market

Expanding Healthcare to Provide More Facilities to Provide Viable Market Output

The Modular Hospital market is experiencing significant growth due to the expansion of healthcare to provide more facilities. As populations increase and medical needs evolve, there's a pressing demand for more healthcare facilities. Modular hospitals offer a flexible and rapid solution, enabling the quick establishment of fully functional medical centers. These facilities can be deployed in remote or underserved areas where traditional construction may be challenging. Moreover, modular hospitals provide scalability, allowing for easy expansion or reconfiguration as healthcare needs evolve. With their cost-effectiveness, speed of deployment, and adaptability, modular hospitals are becoming integral to healthcare systems striving to provide comprehensive medical services to a broader population base.

For instance, in September 2020, the UK National Health Service included Portakabin in the NHS Shared Business Services procurement framework. Under this inclusion, the company has provided isolation units for Hywel DDA University Health Board in Wales and an additional 30-bed modern ward built (in just 8 weeks) to treat coronavirus-affected patients.

(Source: https://www.portakabin.com/gb-en/news-and-events/news/healthcare-experts/)

Various Strategies Adopted by Key Players to Propel Market Growth

The Modular Hospital market is experiencing growth due to the various strategies chosen by key players. These include strategic partnerships and collaborations to leverage each other's expertise and resources, technological advancements to enhance modular hospital designs and functionalities, geographical expansions to enter into new markets and customer bases, and investments in research and development to improve product offerings continually. Additionally, customization and flexibility in modular hospital solutions are being prioritized to meet the unique needs of different healthcare facilities and settings, thereby increasing their adoption and market penetration. Overall, these strategies aim to strengthen market presence, increase competitiveness, and cater to evolving healthcare demands efficiently.

For instance, in January 2020, The Norfolk and Norwich University Hospital, U.K., awarded a project to Portakabin Ltd to build an off-site healthcare suite for patients. It is named 'The Aylsham Suite' and has space for nearly 28 patients. It also includes areas for relaxation, therapies, and treatments.

(Source: https://www.portakabin.com/gb-en/news-and-events/news/alysham-suite/)

Restraint Factors of Modular Hospital Market

Limited Customization to Restrict Market Growth

The Modular Hospital market faces a challenge due to limited customization. While modular hospitals offer pre-designed and pre-fabricated components that can be quickly assembled, there may be limitations in terms of tailoring the design to specific needs or preferences. This lack of customization could pose challenges for healthcare providers who require specialized facilities or layouts to meet unique opera...

The U.S. hospital with the most emergency department visits in 2022 was Parkland Health and Hospital System in Dallas, followed by Lakeland Regional Medical Center in Lakeland, Florida. In 2022, Parkland Health and Hospital System recorded 226,178 emergency room visits, while Lakeland Regional Medical Center received 199,927. Both hospitals saw an increase in emergency room visits compared to the previous year and both hospitals remained top of the list in both years.

U.S. Hospitals

There are various types of hospitals in the U.S. that supply numerous services. Hospitals can be broken into the categories: community hospitals, federal government hospitals, psychiatric care hospitals and long-term care hospitals. Some hospitals provide further specializations such as trauma care or paediatrics. The total number of hospitals in the U.S. continuously been decreasing since the 1970s. In general, non-federal hospitals make up the majority of hospitals.

Emergency departments

Recent estimates indicate that among adults the age groups with the highest prevalence of emergency room visits were among those aged 18-29 years and those aged 50-64 years. Among children, the most common reason for visiting the emergency department are respiratory disorders, followed by injury and poisoning.

Hospital services are currently being stretched at the seams as they struggle to navigate financial constraints and workforce shortages while appointment waiting times remain high. Hospitals faced unrivalled pressure during the COVID-19 outbreak and this necessitated the release of significant government funding to help hospitals boost their capacity to treat afflicted patients. According to the King’s Fund, NHS funding rose from £148.9 billion in 2019-20 to £191 billion in 2020-21. Hospitals are still facing long elective backlogs, growing by around 100,000 cases monthly, according to the BMA. Over the five years through 2024-25, industry revenue is therefore expected to marginally rise at a compound annual rate of 0.2% to reach £115.1 billion. Hospitals are contending with stagnant real-term funding growth, exacerbated by inflationary pressures in the three years through 2024-25 and increasing demand for healthcare services due to a growing and ageing population. NHS England has a planned 2024-25 budget of £165 billion in real terms, which is only a 0.2% rise on 2023-24. In March 2025, the government announced plans to abolish NHS England, in a move to remove administrative hurdles it feels are preventing improvements in the hospital sector. Hospitals have been pressured to manage costs while dealing with a workforce crisis, highlighted by dependency on temporary staff to maintain safe staffing levels. Public healthcare budgets have failed to keep pace with soaring demand. Hospitals are struggling to match pre-COVID-19 activity levels, which has boosted demand for private hospitals as more patients seek private treatment. As a result, industry revenue is projected to grow by 0.9% in 2024-25. Revenue is estimated to climb at a compound annual rate of 2.3% over the five years through 2029-30 to £128.7 billion. Hospitals’ performance will depend on how much funding is available for an already over-burdened institution. The Labour government’s plan for hospitals over the next decade will be released in spring 2025 which will determine what resources are at the industry’s disposal in the coming years. With workforce shortages projected to worsen without substantial investments in training and recruitment, hospitals will need a plan to build a sustainable long-term staffing model. Dependency on international recruitment will become more of a challenge as global healthcare systems grapple with their own workforce shortages. Embracing technological advancements and digitisation like virtual wards will be key to improving efficiency and patient care, with planned capital funding aimed at transforming medical technology.

The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

The global three-panel hospital privacy screen market is experiencing steady growth, driven by increasing demand for improved patient privacy and infection control within healthcare settings. The market's expansion is fueled by several factors, including rising hospital construction and renovations, a growing aging population requiring more healthcare services, and increasing awareness of patient confidentiality regulations. Technological advancements leading to the development of more durable, lightweight, and easily cleanable screens also contribute to market growth. While the precise market size in 2025 is unavailable, considering a global healthcare market size of trillions and a CAGR of 5%, a reasonable estimate for the three-panel screen market segment in 2025 would be around $500 million, assuming this segment represents a small but growing niche within the broader medical equipment market. This figure will likely increase to approximately $600 million by 2026 and further to $700 million by 2027. This projection accounts for the expected compound annual growth rate of 5%. The market is segmented by type (fixed, folding, and world production), and application (hospitals, clinics, and others). Hospitals represent the largest segment due to their higher volume of patient activity and more stringent privacy requirements. Key players in this market are actively involved in product innovation and strategic partnerships to expand their market share. Geographic expansion into emerging economies, particularly in Asia-Pacific, is also expected to fuel future growth. Market restraints primarily include the relatively low cost of alternative privacy solutions and potential price sensitivity in budget-constrained healthcare facilities. However, the long-term benefits of enhanced patient privacy, infection control, and improved healthcare efficiency are anticipated to outweigh these concerns, leading to continued market expansion. Future growth will likely be influenced by the increasing integration of antimicrobial and infection-control technologies into the design of these privacy screens, as well as ongoing developments in materials science. North America and Europe currently hold the largest market share due to higher healthcare spending and stringent regulations. However, regions such as Asia Pacific are emerging as lucrative markets due to rapid infrastructural development and economic growth. The consistent growth coupled with evolving industry demands suggests a promising outlook for the three-panel hospital privacy screen market.

With over ***** medical centers, Brazil was the Latin American country with the highest number of hospitals in 2024, among the countries depicted. Mexico ranked second, with ***** hospitals. In 2022, Hospital Israelita Albert Einstein was the leading hospital by quality in the South American country. Healthcare spending With an estimated ** percent of its gross domestic product (GDP) being spent on health, Cuba was the nation with the highest health expenditure share in Latin America and the Caribbean in 2020. Ranking second in this ranking along with Argentina, Brazil’s government spent more than ** percent of its annual health expenditure on hospital and outpatient care. Meanwhile, in Chile, government spending on healthcare was, on average, about ***** U.S. dollars per person in 2021, which was more than the combined health expenditure from government and out-of-pocket spending in Mexico. Leading medical technology Including products such as diagnostic imaging, implants, and vaccines, nanomedicine has by far been Latin America’s most valuable medical technology, generating an estimated ***** billion U.S. dollars in 2022. Furthermore, the revenue of nanomedicine in the region is expected to reach ***** billion U.S. dollars by 2027, representing an increase of more than ** percent over a span of five years.More information by Global Health Intelligence on hospital infrastructure in various Latin American countries can be found here.

According to Cognitive Market Research, the global Hospital Supplies market size will be USD 30215.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 4.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 12086.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 9064.56 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 6949.50 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1510.76 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 604.30 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
The catheter category is the fastest growing segment of the Hospital Supplies industry

Market Dynamics of Hospital Supplies Market

Key Drivers for Hospital Supplies Market

Technological Advancements in Medical Equipment to Boost Market Growth

Technological advancements in medical equipment significantly drive the hospital supplies market. Innovations such as telemedicine, minimally invasive surgical tools, and advanced diagnostic devices have revolutionized patient care, improving outcomes and operational efficiency. As hospitals adopt cutting-edge technologies, there is an increased demand for advanced supplies that complement these innovations. For instance, the integration of smart hospital solutions—like IoT-enabled devices and automated inventory management systems—has become essential in enhancing hospital efficiency and reducing costs. Furthermore, the growing focus on personalized medicine and patient-centered care has led to the development of specialized hospital supplies tailored to specific treatments and procedures. As healthcare providers strive to enhance service delivery and patient satisfaction, the demand for technologically advanced hospital supplies is expected to rise, propelling market growth and fostering continuous innovation within the sector. For instance, Becton, Dickinson & Company launched a TCR/BCR multi-omic assay which aids in speeding the discovery of infectious diseases, autoimmune disorders, and immune-oncology as well

Rising Healthcare Expenditure to Drive Market Growth

Governments and private sectors are investing more in healthcare infrastructure to improve access to quality medical services, particularly in developing regions. As healthcare systems expand, there is a growing demand for essential hospital supplies, including surgical instruments, diagnostic equipment, and consumables. This trend is further fueled by the aging population, which necessitates more medical services and supplies. Additionally, the COVID-19 pandemic underscored the importance of robust healthcare systems and the need for adequate supplies, prompting hospitals to stock up on critical items. As healthcare expenditure continues to rise, hospitals are more likely to allocate budgets for modernizing their equipment and ensuring that they are well-equipped to meet patient needs, thereby driving the hospital supplies market forward.

Restraint Factor for the Hospital Supplies Market

Regulatory Challenges and Compliance Costs Will Limit Market Growth

Hospitals and suppliers must comply with various regulations established by health authorities, which can vary significantly by region. These regulations often require extensive testing, certification, and documentation processes to ensure product safety and efficacy. The complexity of compliance can lead to increased costs and extended timelines for product approval, hindering the introduction of new supplies into the market. Additionally, any failure to meet regulatory standards can result in fines, recalls, and damage to a company's reputation. This regulatory burden can be particularly challenging for smaller suppliers with limited resources, potentially leading to reduced competition and innovation in the hospital supplies market.

Impact of Covid-19 on t...

Updates

• Notice of data discontinuation: Since the start of the pandemic, AP has reported case and death counts from data provided by Johns Hopkins University. Johns Hopkins University has announced that they will stop their daily data collection efforts after March 10. As Johns Hopkins stops providing data, the AP will also stop collecting daily numbers for COVID cases and deaths. The HHS and CDC now collect and visualize key metrics for the pandemic. AP advises using those resources when reporting on the pandemic going forward.

  • CDC Weekly case and death counts (national and state level)
  • CDC County level cases and deaths
  • HHS New hospital admissions
  • CDC NowCast COVID variant proportions (national and regional level)

• April 9, 2020

  • The population estimate data for New York County, NY has been updated to include all five New York City counties (Kings County, Queens County, Bronx County, Richmond County and New York County). This has been done to match the Johns Hopkins COVID-19 data, which aggregates counts for the five New York City counties to New York County.

• April 20, 2020

  • Johns Hopkins death totals in the US now include confirmed and probable deaths in accordance with CDC guidelines as of April 14. One significant result of this change was an increase of more than 3,700 deaths in the New York City count. This change will likely result in increases for death counts elsewhere as well. The AP does not alter the Johns Hopkins source data, so probable deaths are included in this dataset as well.

• April 29, 2020

  • The AP is now providing timeseries data for counts of COVID-19 cases and deaths. The raw counts are provided here unaltered, along with a population column with Census ACS-5 estimates and calculated daily case and death rates per 100,000 people. Please read the updated caveats section for more information.

• September 1st, 2020

  • Johns Hopkins is now providing counts for the five New York City counties individually.

• February 12, 2021

  • The Ohio Department of Health recently announced that as many as 4,000 COVID-19 deaths may have been underreported through the state’s reporting system, and that the "daily reported death counts will be high for a two to three-day period."
  • Because deaths data will be anomalous for consecutive days, we have chosen to freeze Ohio's rolling average for daily deaths at the last valid measure until Johns Hopkins is able to back-distribute the data. The raw daily death counts, as reported by Johns Hopkins and including the backlogged death data, will still be present in the new_deaths column.

• February 16, 2021

  - Johns Hopkins has reconciled Ohio's historical deaths data with the state.

  Overview

The AP is using data collected by the Johns Hopkins University Center for Systems Science and Engineering as our source for outbreak caseloads and death counts for the United States and globally.

The Hopkins data is available at the county level in the United States. The AP has paired this data with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. Be aware that caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.

This data is from the Hopkins dashboard that is updated regularly throughout the day. Like all organizations dealing with data, Hopkins is constantly refining and cleaning up their feed, so there may be brief moments where data does not appear correctly. At this link, you’ll find the Hopkins daily data reports, and a clean version of their feed.

The AP is updating this dataset hourly at 45 minutes past the hour.

To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

Queries

Use AP's queries to filter the data or to join to other datasets we've made available to help cover the coronavirus pandemic

• Filter cases by state here

• Rank states by their status as current hotspots. Calculates the 7-day rolling average of new cases per capita in each state: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=481e82a4-1b2f-41c2-9ea1-d91aa4b3b1ac

• Find recent hotspots within your state by running a query to calculate the 7-day rolling average of new cases by capita in each county: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=b566f1db-3231-40fe-8099-311909b7b687&showTemplatePreview=true

• Join county-level case data to an earlier dataset released by AP on local hospital capacity here. To find out more about the hospital capacity dataset, see the full details.

• Pull the 100 counties with the highest per-capita confirmed cases here

• Rank all the counties by the highest per-capita rate of new cases in the past 7 days here. Be aware that because this ranks per-capita caseloads, very small counties may rise to the very top, so take into account raw caseload figures as well.

Interactive

The AP has designed an interactive map to track COVID-19 cases reported by Johns Hopkins.

@(https://datawrapper.dwcdn.net/nRyaf/15/)

Interactive Embed Code

<iframe title="USA counties (2018) choropleth map Mapping COVID-19 cases by county" aria-describedby="" id="datawrapper-chart-nRyaf" src="https://datawrapper.dwcdn.net/nRyaf/10/" scrolling="no" frameborder="0" style="width: 0; min-width: 100% !important;" height="400"></iframe><script type="text/javascript">(function() {'use strict';window.addEventListener('message', function(event) {if (typeof event.data['datawrapper-height'] !== 'undefined') {for (var chartId in event.data['datawrapper-height']) {var iframe = document.getElementById('datawrapper-chart-' + chartId) || document.querySelector("iframe[src*='" + chartId + "']");if (!iframe) {continue;}iframe.style.height = event.data['datawrapper-height'][chartId] + 'px';}}});})();</script>

Caveats

• This data represents the number of cases and deaths reported by each state and has been collected by Johns Hopkins from a number of sources cited on their website.
• In some cases, deaths or cases of people who've crossed state lines -- either to receive treatment or because they became sick and couldn't return home while traveling -- are reported in a state they aren't currently in, because of state reporting rules.
• In some states, there are a number of cases not assigned to a specific county -- for those cases, the county name is "unassigned to a single county"
• This data should be credited to Johns Hopkins University's COVID-19 tracking project. The AP is simply making it available here for ease of use for reporters and members.
• Caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.
• Population estimates at the county level are drawn from 2014-18 5-year estimates from the American Community Survey.
• The Urban/Rural classification scheme is from the Center for Disease Control and Preventions's National Center for Health Statistics. It puts each county into one of six categories -- from Large Central Metro to Non-Core -- according to population and other characteristics. More details about the classifications can be found here.

Johns Hopkins timeseries data - Johns Hopkins pulls data regularly to update their dashboard. Once a day, around 8pm EDT, Johns Hopkins adds the counts for all areas they cover to the timeseries file. These counts are snapshots of the latest cumulative counts provided by the source on that day. This can lead to inconsistencies if a source updates their historical data for accuracy, either increasing or decreasing the latest cumulative count. - Johns Hopkins periodically edits their historical timeseries data for accuracy. They provide a file documenting all errors in their timeseries files that they have identified and fixed here

Attribution

This data should be credited to Johns Hopkins University COVID-19 tracking project

According to Cognitive Market Research, the global Operating Room Management Market size will be XX million by 2030, whereas its compound annual growth rate (CAGR) will be XX% from 2024 to 2031.

North America held the largest share of the global Operating Room Management market around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
Europe accounted for a share of over XX% of the global market size of USD XX million.
Asia Pacific held a market share of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
The Latin American market is around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.
Middle East and Africa held the major market of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.

Market Dynamics of the Operating Room Management Market

Key Drivers of the Operating Room Management Market

Operating room management anticipates rapid expansion in the market as hospitals focus a greater emphasis on reducing costs and increasing productivity

The overall expense of providing healthcare has increased significantly over the last few decades, primarily as a result of aging populations, rising health insurance premiums, growing demand for high-quality healthcare services, and an increase in the prevalence of chronic diseases. Another major issue driving up healthcare costs is the heavy dependence on outdated methods like paper-based patient records, which increases the risk of readmission, medical errors, and administrative expenditures. Several healthcare IT applications have been used successfully.

Nowadays, multiple governments and healthcare systems across the globe are focusing increasingly on controlling the increasing expenses of healthcare by cutting back on patient readmissions, medical errors, and administrative costs.

• For Instance: On Mar 24, 2021 – 40% of hospital expenses are related to operating rooms, or O.R.s, which generate about 70% of hospital revenue.

https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-021-06234-5

Therefore, organizing and consolidating patient data for the surgical staff during operation and streamlining information across several platforms is a key component of optimizing operating room management to reduce healthcare costs. Consequently, hospitals' growing focus on cost containment and efficiency enhancement will help this sector grow in the upcoming year. Operating room management's market CAGR is therefore being driven by this factor.

Growing Demand for Surgical Treatments Boost Operational Room Management Implementation

A major factor propelling market expansion is the growing need for surgical procedures brought on by aging populations, an increase in persistent diseases, and technological developments in medical treatments. Healthcare facilities are looking for effective operating room management systems to increase surgical productivity, reduce wait times, and improve patient outcomes as the number and complexity of surgeries rise.

Moreover, the implementation of standardized operating room practices and quality improvement programs is mandated by regulatory bodies and accreditation standards for healthcare facilities. Adherence to accreditation standards from organizations such as the Joint Commission and compliance with regulations like the Surgical Care Improvement Project (SCIP) require the use of efficient operating room management techniques to ensure infection control, patient safety, and best practices compliance. Operating room management systems give facilities the means to accomplish accreditation objectives and comply with regulations by offering instruments for quality reporting, performance monitoring, and documentation.

Restraint of the Operating Room Management Market

The market is being restrained by ORM software's high price and maintenance expenses

The implementation of operating room management technologies could pose a challenge for small and medium-sized...

The global hospital viewing windows market is experiencing steady growth, projected to reach a market size of $250 million in 2025, with a compound annual growth rate (CAGR) of 5%. This growth is driven by several key factors, including the increasing prevalence of infectious diseases necessitating enhanced infection control measures in hospitals, the rising demand for advanced medical technologies requiring specialized viewing windows (such as those used in radiation therapy or cleanrooms), and a global push for improved patient safety and comfort. The market is segmented by window type (fixed and sliding) and application (radiation protection and cleanrooms), with the radiation protection segment currently holding a larger market share due to the stringent safety requirements in these areas. Technological advancements in materials science are leading to the development of more durable, radiation-resistant, and easy-to-clean viewing windows, further fueling market expansion. The market's growth is not without challenges. High initial investment costs associated with installing specialized viewing windows can act as a restraint, particularly in resource-constrained healthcare facilities. Furthermore, stringent regulatory compliance requirements for medical devices can impact market entry and growth for new players. However, the long-term benefits of improved infection control, enhanced patient safety, and streamlined workflows are expected to outweigh these initial hurdles, ensuring continued market expansion over the forecast period (2025-2033). Key players like Electric Glass Building Materials, Amray Medical, and BIODEX are actively engaged in developing innovative products and expanding their market presence to capitalize on these growth opportunities. Geographic expansion into emerging markets in Asia and Africa is also anticipated to contribute significantly to overall market growth in the coming years. This report provides a detailed analysis of the global hospital viewing windows market, projected to reach $2 billion by 2030. It explores market dynamics, key players, technological advancements, and future growth opportunities. The report is meticulously researched and offers actionable insights for stakeholders, investors, and industry professionals.

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which