As of 2022, the largest hospital in the world was found in Henan, China. With seven thousand beds, First Affiliated Hospital of Zhengzhou University was ranked as the largest hospital globally according to its number of beds. The second largest hospital was also found in China. No U.S. hospital made the world top 20 list, although AdventHealth Orlando was close, being the largest hospital in the United States.

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.

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.

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

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. 

Access one of the most robust, up-to-date databases in the industry with McGRAW's Global Healthcare Professionals Masterfile. Our database includes 16 million verified healthcare professionals from around the world, offering an unparalleled resource for B2B marketing, lead generation, and data enhancement. McGRAW's proprietary sources and extensive validation processes ensure the highest accuracy in our records, making it a trusted choice for connecting with healthcare experts.

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Each list is updated with USPS’s 48-month NCOA (National Change of Address) data before shipment, ensuring address accuracy. All records are 100% DPV (Delivery Point Validation) coded, and phone numbers are appended upon request, with DNC (Do Not Call) scrubbing performed within the last 30 days to guarantee top-tier data hygiene and compliance.

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For clients seeking targeted healthcare leads, McGRAW provides highly detailed ailment and diabetic lead lists. Our filtering options are unmatched, delivering specialized lists that increase conversion potential for health insurance and medical-related campaigns. With exclusive access to multiple sources, we utilize sophisticated internet marketing strategies to generate high-quality leads who actively express interest, ensuring you receive only the most engaged prospects.

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The Boston area is well-renowned for having some of the best hospitals and medical programs in the world. But did you know that Cambridge is also home to institutions and companies at the cutting edge of health research and innovation?In this StoryMap, the Cambridge Bicycle Committee will guide you on a virtual bike ride that highlights a selection of institutions and companies in Cambridge that have played notable roles in delivering care, services, and research in connection to the COVID-19 pandemic. However, it is by no means an exhaustive list of companies in Cambridge doing innovative and impactful work in fields of health, and we encourage those who are interested to continue researching to learn more.For a printable version of the ride route, visit cambridgema.gov/bikerides. To download a GPS file for the route, click here.

Data on the top universities for Medical and Health in 2025, including disciplines such as Medicine and Dentistry, and Other Health Subjects.

According to a hospital ranking carried out by Fudan University in 2022, the best hospital in China was Peking Union Medical College Hospital, with a quality index score of *****. The second position went to West China Hospital affliated to Sichuan University, with a score of *****.

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

In 2023, there were nearly 11 thousand hospitals in Columbia, the highest number among OECD countries, followed by 8,156 hospitals in Japan. If only general hospitals were counted (excluding mental health hospitals and other specialized hospitals), Japan had the most number of general hospitals among OECD countries worldwide. Most countries reported hospitals numbers similar to or lower than the previous year. Meanwhile, Mexico, South Korea and the Netherlands all reported more hospitals than last year.

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

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).

Background: Particulate matter (PM) is one among the crucial air pollutants and has the potential to cause a wide range of health effects. Indian cities ranked top places in the World Health Organization list of most polluted cities by PM. Objectives: Present study aims to assess the trends, short- and long-term health effects of PM in major Indian cities. Methods: PM-induced hospital admissions and mortality are quantified using AirQ+ software. Results: Annual PM concentration in most of the cities is higher than the National Ambient Air Quality Standards of India. Trend analysis showed peak PM concentration during post-monsoon and winter seasons. The respiratory and cardiovascular hospital admissions in the male (female) population are estimated to be 31,307 (28,009) and 5460 (4882) cases, respectively. PM2.5 has accounted for a total of 1,27,014 deaths in 2017. Conclusion: Cities with high PM concentration and exposed population are more susceptible to mortality and hospital admissions.

Market Overview:

The global real time location systems (RTLS) for healthcare market size reached USD 3.0 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 11.6 Billion by 2033, exhibiting a growth rate (CAGR) of 15.34% during 2025-2033. The rising need for asset tracking and management, the increasing demand for remote patient monitoring, and various technological advancements represent some of the key factors driving the market.

Real-time location systems (RTLS) are a set of technologies used to automatically identify and track the location of assets, people or objects in real time. They use wireless communication technologies such as radio frequency identification (RFID), Wireless Fidelity (Wi-Fi), Bluetooth low energy, global positioning system (GPS), and ultrasound to track and locate assets or individuals. It is used in the healthcare industry to improve patient safety, staff efficiency, and asset management. It is also utilized to track medical equipment, monitor patient movements, and ensure that staff members are adhering to proper hygiene protocols. In addition, it is used to optimize workflows, increase efficiency, reduce wait times, and enhance patient satisfaction. Besides this, the data collected by these systems can also be used for analytics, such as identifying bottlenecks, optimizing resource allocation, and improving overall operational efficiency. Owing to these benefits, RTLS systems are widely adopted in the healthcare industry across the globe.

Real Time Location Systems (RTLS) for Healthcare Market Trends:

The market is primarily driven by the increasing need for asset tracking and management. Healthcare organizations are adopting solutions to manage medical equipment, drugs, and supplies. RTLS can provide real-time information on the location and status of assets, improving inventory control and reducing equipment loss. In addition, the growing focus on patient safety represents another major growth-inducing factor. RTLS can improve patient safety by providing real-time information on patient location and movement, reducing the risk of adverse events, and improving response times in emergencies. Besides this, various technological advancements, such as the integration of The Internet of Things (IoT) in healthcare to provide real-time location data for patients and assets, are also contributing to the market growth. Moreover, various government agencies are implementing policies mandating healthcare institutes to maintain accurate records of patient and equipment movements. RTLS can help healthcare facilities comply with these requirements by providing real-time location data. This, coupled with the increasing demand for remote patient monitoring due to the sudden outbreak of the coronavirus disease (COVID-19) pandemic, is accelerating the product adoption rate. Furthermore, the developing healthcare infrastructure and rising healthcare expenditure are also creating a favorable market outlook across the globe.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global real time location systems (RTLS) for healthcare market, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on offering, applications and end use.

Offering Insights:

• Software
• Hardware
• Service
  

The report has provided a detailed breakup and analysis of the real time location systems (RTLS) for healthcare market based on the offering. This includes software, hardware and service. According to the report, hardware accounted for the majority of the market share.

Applications Insights:

• Asset Tracking
• Patient Safety
• Personnel Tracking
• Environmental Monitoring
• Others
  

The report has provided a detailed breakup and analysis of the real time location systems (RTLS) for healthcare market based on the applications. This includes asset tracking, patient safety, personnel tracking, environmental monitoring, and others. According to the report, asset tracking represented the largest segment.

End Use Insights:

• Hospitals
• Clinics
• Emergency Medical Services
• Eldercare Facilities
• Diagnostic Labs
  

A detailed breakup and analysis of the real time location systems (RTLS) for healthcare market based on the end use has also been provided in the report. This includes hospitals, clinics, emergency medical services, eldercare facilities, and diagnostic labs. According to the report, hospitals accounted for the largest market share.

Regional Insights:

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• North America
  • United States
  • Canada
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa
  

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, Asia Pacific was the largest market for real time location systems (RTLS) for healthcare. Some of the factors driving the Asia Pacific real time location systems (RTLS) for healthcare market included the growing preference for better patient care, the rising need for asset management, the implementation of government initiatives, etc.

Competitive Landscape:

The report has also provided a comprehensive analysis of the competitive landscape in the global real time location systems (RTLS) for healthcare market. Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles

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.

How big is the Medical Tourism Market? The Medical Tourism Market size is expected to reach USD 84.92 billion in 2024 and grow at a CAGR of 23.03% to reach USD 239.37 billion by 2029.

   What is the current Medical Tourism Market size? 
   In 2024, the Medical Tourism Market size is expected to reach USD 84.92 billion.

   Who are the key players in Medical Tourism Market?
   Healthbase, Apollo Hospitals, KPJ Healthcare, Klinikum Medical Link and Medretreat are the major companies operating in the Medical Tourism Market. 

   Which is the fastest growing region in Medical Tourism Market? 
   Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029). 

   Which region has the biggest share in Medical Tourism Market? 
   In 2024, the North America accounts for the largest market share in Medical Tourism Market. 

   What years does this Medical Tourism Market cover, and what was the market size in 2023? 
   In 2023, the Medical Tourism Market size was estimated at USD 65.36 billion. The report covers the Medical Tourism Market historical market size for years: 2021, 2022 and 2023. The report also forecasts the Medical Tourism Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.

   What is the dominant segment contributing to the largest market share in Medical Tourism? 
   Cosmetic Treatment is the dominant segment that holds the major share of the Medical Tourism Market.

   The Global Medical Tourism Market Report provides a comprehensive industry analysis of the medical tourism market, segmented by treatment type and geography. The market overview highlights the various treatment types including cosmetic, dental, cardiovascular, orthopedics, bariatric, fertility, ophthalmic, and other treatments. The industry statistics indicate significant market growth driven by the increasing demand for affordable and high-quality medical care.<br><br>In terms of market segmentation, the report covers North America, Europe, Asia-Pacific, the Middle East and Africa, and South America, providing a detailed market forecast for each region. The industry size and market value are presented in terms of USD, reflecting the market's economic impact. The market trends and growth rate are analyzed to provide insights into future market predictions.<br><br>The report also includes an industry outlook, focusing on key market leaders and their strategies. The market review highlights the competitive landscape and the role of both private and public healthcare service providers. Additionally, the report examines alternative treatment options and their market share.<br><br>For those seeking more detailed information, the report example and report pdf are available for further industry research. The market data and industry reports offer valuable insights for companies looking to understand the market dynamics and make informed decisions. The industry trends and market outlook provide a clear picture of the market's future direction.<br><br>Overall, the Global Medical Tourism Market Report is an essential resource for understanding the market's growth forecast and industry worth. It provides a thorough market analysis and industry information, making it a valuable tool for research companies and stakeholders in the medical tourism industry.

   Medical Tourism Also Known As: Patient Mobility, Transnational Healthcare, Therapeutic Tourism, Medical Vacation, Health Travel

   Medical Tourism Report Covers the Following Regions: NA, North America, North American, Northern America, Northern American, EU, Europe, European, APAC, Asia Pacific, Asian, MEA, Middle East and Africa, Middle Eastern and African, MENA, Middle East, Middle Eastern, SA, South America, South American

   Medical Tourism Report Covers the Following Countries: USA, United States, US, Canada, Mexican, Mexico, DE, Germany, German, UK, United Kingdom, FR, France, French, IT, Italy, Italian, ES, Spain, Spanish, China, Chinese, JP, Japan, Japanese, IN, India, Indian, AU, Australia, Australian, KR, South Korea, South Korean, GCC, Gulf Cooperation Council, ZA, South Africa, South African, BR, Brazil, Brazilian, AR, Argentina, Argentine

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.

Adult psychiatry is an important part of medical and mental health treatments in the U.S. As of 2024, the top hospital for adult psychiatry was Massachusetts General Hospital in Boston, Massachusetts, with a score of ** percent. The score represents the percentage of surveyed psychiatric specialists that named select hospitals as the best for challenging patients. Despite hospitals having a wider range of care options for patients, a majority of the mental health treatment facilities in the U.S. are listed as outpatient care centers without day treatment options or partial hospitalization options. Mental Health in the U.S. In the U.S. millions of people are affected by mental illness every year. Mental illnesses can range from mood disorders such as depression and bipolar disorder to schizophrenia and anxiety disorders. Research has indicated that as of 2022 up to a quarter of adults between the ages of ** and ** in the U.S. had experienced some sort of mental illness within the past year, with rates of mental illness decreasing with age. A recent survey also indicated that among adults in the U.S. those living in Oregon and Utah may have the poorest mental health status among all states. Mental Health Treatment in the U.S. Not all mental health treatment requires hospitalization or psychiatric treatment. Most mental health issues can be addressed and treated in individual or group psychotherapy, but treatment differs drastically based on the type of mental illness. Psychotherapy, medication, case management, hospitalization and support groups are just a few of the ways mental illness can be treated. As of 2023 a larger percentage of U.S. adults utilized prescription medications as opposed to any other kind of therapy. Among adults that sought treatment from a professional for a major depressive episode, a majority had seen a general practitioner or family doctor to treat their mental health issues.