According to a ranking of the best hospitals in the U.S., the best hospital for adult cancer is the University of *******************************, which had a score of *** out of 100, as of 2025. 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.

As of 2025, New York-Presbyterian hospital is the largest hospital in the United States with its eight campuses based in New York City. This was followed by AdventHealth Orlando in Florida stands as the second largest hospital in the United States, boasting an impressive 2,787 beds. 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 1,263 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 2024, with 235,893 patients seeking urgent care.

Context

There are all sorts of reasons why you'd want to know a hospital's quality rating.

• Your mom is having her second hip replacement. Her first one went terribly and you're nervous about how she'll do. Which hospital would you suggest she have her surgery?
• You're selecting a health plan on your state's Exchange, but your top two choices partner with different hospitals. How will you decide which plan to pick?
• Your brother has Cystic Fibrosis and has to go to the ER frequently. He hates waiting. Which hospitals/states provide care in the timeliest manner?
• Your in-laws moved to Florida recently to retire, and have been trying to convince you to move there too. You're looking for any way possible to show them that your state is better. Does your state have better hospitals?

Every hospital in the United States of America that accepts publicly insured patients (Medicaid or MediCare) is required to submit quality data, quarterly, to the Centers for Medicare & Medicaid Services (CMS). There are very few hospitals that do not accept publicly insured patients, so this is quite a comprehensive list.

Content

This file contains general information about all hospitals that have been registered with Medicare, including their addresses, type of hospital, and ownership structure. It also contains information about the quality of each hospital, in the form of an overall rating (1-5, where 5 is the best possible rating & 1 is the worst), and whether the hospital scored above, same as, or below the national average for a variety of measures.

This data was updated by CMS on July 25, 2017. CMS' overall rating includes 60 of the 100 measures for which data is collected & reported on Hospital Compare website (https://www.medicare.gov/hospitalcompare/search.html). Each of the measures have different collection/reporting dates, so it is impossible to specify exactly which time period this dataset covers. For more information about the timeframes for each measure, see: https://www.medicare.gov/hospitalcompare/Data/Data-Updated.html# For more information about the data itself, APIs and a variety of formats, see: https://data.medicare.gov/Hospital-Compare

Acknowledgements

Attention: Works of the U.S. Government are in the public domain and permission is not required to reuse them. An attribution to the agency as the source is appreciated. Your materials, however, should not give the false impression of government endorsement of your commercial products or services. See 42 U.S.C. 1320b-10.

Inspiration

Which hospital types & hospital ownerships are most common?

Which hospital types & ownerships are associated with better than average ratings/mortality/readmission/etc?

What is the average hospital rating, by state?

Which hospital types & hospital ownerships are more likely to have not submitted proper data ("Not Available" & "Results are not available for this reporting period")?

Which parts of the country have the highest & lowest density of religious hospitals?

Context

Every year, all U.S. hospitals that accept payments from Medicare and Medicaid must submit quality data to The Centers for Medicare and Medicaid Services (CMS). CMS' Hospital Compare program is a consumer-oriented website that provides information on "the quality of care hospitals are providing to their patients." CMS releases this quality data publicly in order to encourage hospitals to improve their quality and to help consumer make better decisions about which providers they visit.

"Hospital Compare provides data on over 4,000 Medicare-certified hospitals, including acute care hospitals, critical access hospitals (CAHs), children’s hospitals, Veterans Health Administration (VHA) Medical Centers, and hospital outpatient departments"

The Centers for Medicare & Medicaid Services (CMS) uses a five-star quality rating system to measure the experiences Medicare beneficiaries have with their health plan and health care system — the Star Rating Program. Health plans are rated on a scale of 1 to 5 stars, with 5 being the highest.

Content

Dataset Rows	Dataset Columns
25082	29

• Includes the most recent Hospital General Information.csv data for each archive year found on CMS' archive site. Years: 2016-2020

| Column Name | Data Type | Description | | --- | --- | -- | | Facility ID | Char(6) | Facility Medicare ID | | Facility Name | Char(72) | Name of the facility | | Address | Char(51) | Facility street address | | City | Char(20) | Facility City | | State | Char(2) | Facility State | | ZIP Code | Num(8) | Facility ZIP Code | | County Name | Char(25) | Facility County | | Phone Number | Char(14) | Facility Phone Number | | Hospital Type | Char(34) | What type of facility is it? | | Hospital Ownership | Char(43) | What type of ownership does the facility have? | | Emergency Services | Char(3)) | Does the facility have emergency services Yes/No? | | Meets criteria for promoting interoperability of EHRs | Char(1) | Does facility meet government EHR standard Yes/No? | | Hospital overall rating | Char(13) | Hospital Overall Star Rating 1=Worst; 5=Best. Aggregate measure of all other measures | | Hospital overall rating footnote | Num(8) | | | Mortality national comparison | Char(28) | Facility overall performance on mortality measures compared to other facilities | | Mortality national comparison footnote | Num(8) | | | Safety of care national comparison | Char(28) | Facility overall performance on safety measures compared to other facilities | | Safety of care national comparison footnote | Num(8) | | | Readmission national comparison | Char(28) | Facility overall performance on readmission measures compared to other facilities | | Readmission national comparison footnote | Num(8) | | | Patient experience national comparison | Char(28) | Facility overall performance on pat. exp. measures compared to other facilities | | Patient experience national comparison footnote | Char(8) | | | Effectiveness of care national comparison | Char(28) | Facility overall performance on effect. of care measures compared to other facilities | | Effectiveness of care national comparison footnote | Char(8) | | | Timeliness of care national comparison | Char(28) | Facility overall performance on timeliness of care measures compared to other facilities | | Timeliness of care national comparison footnote| Char(8) | | | Efficient use of medical imaging national comparison | Char(28) | Facility overall performance on efficient use measures compared to other facilities | | Efficient use of medical imaging national comparison footnote | Char(8) | | | Year | Char(4) | cms data release year |

Acknowledgements

A similar dataset called Hospital General Information was previously uploaded to Kaggle. However, that dataset only includes data from one year (2017). I was inspired by this dataset to go a little further and try to add a time dimension. This dataset includes a union of Hospital General Information for the years 2016-2020. The python script used to collect and union all the datasets can be found on my [github[(https://github.com/abrambeyer/cms_hospital_general_info_file_downloader). Thanks to this dataset owner for the inspiration.

Thanks to CMS for releasing this dataset publicly to help consumers find better hospitals and make better-informed decisions.

***All Hospital Compare websites are publically accessible. As works of the U.S. government, Hospital Compare data are in the public domain and permission is not required to reuse them. An attribution to the agency as the source is appreciated. Your ...

In the U.S., every hospital that receives payments from Medicare and Medicaid is mandated to provide quality data to The Centers for Medicare and Medicaid Services (CMS) annually. This data helps gauge patient satisfaction levels across the country. While overall hospital scores can be influenced by the quality of customer services, there may also be variations in satisfaction based on the type of hospital or its location.

Year: 2016 - 2020

The Star Rating Program, implemented by The Centers for Medicare & Medicaid Services (CMS), employs a five-star grading system to evaluate the experiences of Medicare beneficiaries with their respective health plans and the overall healthcare system. Health plans receive scores ranging from 1 to 5 stars, with 5 stars denoting the highest quality.

Benefits:

Historical Analysis: With data spanning from 2016 to 2020, researchers and analysts can observe trends over time, understanding how patient satisfaction has evolved over these years.

Benchmarking: Hospitals can compare their performance against national averages or against peer institutions to see where they stand.

Identifying Areas for Improvement: By analyzing specific metrics and feedback, hospitals can pinpoint areas where their services may be lacking and need enhancement.

Policy and Decision Making: Governments and healthcare administrators can use the data to make informed decisions about healthcare policies, funding allocations, and other strategic decisions.

Research and Academic Purposes: Academics and researchers can use the dataset for various studies, including correlational studies, predictions, and more.

Geographical Insights: The dataset may provide insights into regional variations in patient satisfaction, helping to identify areas or states with particularly high or low scores.

Understanding Factors Affecting Satisfaction: By correlating satisfaction scores with other variables (e.g., hospital type, size, location), it might be possible to determine which factors play the most significant role in patient satisfaction.

Performance Evaluation: Hospitals can use the data to evaluate the efficacy of any interventions or changes they've made over the years in terms of improving patient satisfaction.

Enhancing Patient Trust: Demonstrating transparency and a commitment to improvement can enhance patient trust and loyalty.

Informed Patients: By making such data publicly available, potential patients can make more informed decisions about where to seek care based on the satisfaction ratings of previous patients.

Source: https://data.cms.gov/provider-data/archived-data/hospitals

Report Attribute/Metric	Details
Market Size 2024	186 billion USD
Market Size in 2025	USD 199 billion
Market Size 2030	275 billion USD
Report Coverage	Market Size for past 5 years and forecast for future 10 years, Competitive Analysis & Company Market Share, Strategic Insights & trends
Segments Covered	Service Types, Therapeutic Area, Facility Size, Patient Age Groups
Regional Scope	North America, Europe, Asia Pacific, Latin America and Middle East & Africa
Country Scope	U.S., Canada, Mexico, UK, Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Mexico, Argentina, Saudi Arabia, UAE and South Africa
Top 5 Major Countries and Expected CAGR Forecast	U.S., China, Germany, Japan, UK - Expected CAGR 4.4% - 6.4% (2025 - 2034)
Top 3 Emerging Countries and Expected Forecast	Indonesia, Nigeria, Colombia - Expected Forecast CAGR 7.7% - 9.2% (2025 - 2034)
Companies Profiled	Asan Medical Center, Boston Children's Hospital, Children’s Health Queensland, Children’s Hospital Los Angeles, Cincinnati Children's Hospital Medical Center, Great Ormond Street Hospital for Children, Hôpital Necker-Enfants Malades/AP-HP, Texas Children’s and The Children’s Hospital of Philadelphia

Graph and download economic data for Rate of Preventable Hospital Admissions (5-year estimate) in Cascade County, MT (DISCONTINUED) (DMPCRATE030013) from 2008 to 2015 about Cascade County, MT; Great Falls; preventable; admissions; hospitals; MT; 5-year; rate; and USA.

ContextPrior research has faulted the US News and World Report hospital specialty rankings for excessive reliance on reputation, a subjective measure of a hospital's performance.ObjectiveTo determine whether and to what extent reputation correlates with objective measures of research productivity among cancer hospitals.DesignA retrospective observational study.SettingAutomated search of NIH Reporter, BioEntrez, BioMedline and Clinicaltrials.gov databases.ParticipantsThe 50 highest ranked cancer hospitals in 2013's US News and World Report Rankings.ExposureWe ascertained the number of NCI funded grants, and the cumulative funds received by each cancer center. Additionally, we identified the number of phase I, phase II, and phase III studies published and indexed in MEDLINE, and registered at clinicaltrials.gov. All counts were over the preceding 5 years. For published articles, we summed the impact factor of the journals in which they appeared. Trials were attributed to centers on the basis of the affiliation of the lead author or study principal investigator.Main OutcomeCorrelation coefficients from simple and multiple linear regressions for measures of research productivity and a center's reputation.ResultsAll measures of research productivity demonstrated robust correlation with reputation (mean r-squared  = 0.65, median r-squared = 0.68, minimum r-squared = .41, maximum r-squared = 0.80). A multivariable model showed that 93% of the variation in reputation is explained by objective measures.ConclusionContrary to prior criticism, the majority of reputation, used in US News and World Rankings, can be explained by objective measures of research productivity among cancer hospitals.

The global Hospital Information Management System (HIMS) market is booming, projected to reach $318.8 million in 2025 with a 5% CAGR. Learn about key drivers, trends, and top players shaping this rapidly evolving sector. Explore market segmentation by information type and application, and discover regional growth opportunities in North America, Europe, and Asia-Pacific.

Description:

This dataset encapsulates ten years (1999-2008) of clinical care data from 130 US hospitals and integrated delivery networks. Each row pertains to hospital records of diabetic patients who received laboratory tests and medications and had hospital stays of up to 14 days. The primary goal is to predict early readmission of patients within 30 days of discharge. This task is crucial due to the significant impact on healthcare costs and patient outcomes, as many diabetic patients do not receive adequate preventive and therapeutic interventions during hospitalization, leading to poor glycemic control and increased readmissions.

Dataset Characteristics: - Type: Multivariate - Subject Area: Health and Medicine - Associated Tasks: Classification, Clustering - Feature Types: Categorical, Integer - Number of Instances: 101,766 - Number of Features: 47 - Missing Values: Yes

Instance Representation: Instances represent hospital records of patients diagnosed with diabetes.

Data Splits: There are no specific recommendations for data splitting. Standard train-test or three-way holdout splits (train-validation-test) can be used for model selection.

Sensitivity: The dataset includes sensitive information such as age, gender, and race of the patients.

Dataset Details: The dataset includes over 50 features related to patient and hospital outcomes. Data was extracted based on the following criteria: 1. Inpatient encounters (hospital admissions). 2. Diabetic encounters (any type of diabetes diagnosis). 3. Length of stay between 1 and 14 days. 4. Laboratory tests conducted during the encounter. 5. Medications administered during the encounter.

Attributes: - encounter_id: Unique identifier for each encounter. - patient_nbr: Unique identifier for each patient. - race: Race of the patient (e.g., Caucasian, Asian, African American, Hispanic, other). - gender: Gender of the patient (e.g., male, female, unknown/invalid). - age: Age grouped in 10-year intervals (e.g., [0, 10), [10, 20), ..., [90, 100)). - weight: Weight in pounds (contains missing values). - admission_type_id: Integer identifier for admission type (e.g., emergency, urgent, elective, newborn, not available). - discharge_disposition_id: Integer identifier for discharge disposition (e.g., discharged to home, expired, not available). - admission_source_id: Integer identifier for admission source (e.g., physician referral, emergency room, transfer from another hospital). - time_in_hospital: Number of days between admission and discharge.

Additional Information: For a detailed description of all attributes, refer to Table 1 in the paper titled "Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records" by Beata Strack, Jonathan DeShazo, Chris Gennings, Juan Olmo, Sebastian Ventura, Krzysztof Cios, and John Clore, published in BioMed Research International, vol. 2014.

Link to Paper: Impact of HbA1c Measurement on Hospital Readmission Rates

The GLP-1 receptor agonist market is projected to be valued at US$ 23,854.53 million in 2024 and is expected to rise to US$ 72,127.79 million by 2034. It is expected to grow at a CAGR of 11.7% during the market forecast period.

Attributes	Key Statistics
GLP-1 Receptor Agonist Market Value (2024)	US$ 23854.53 million
Anticipated Market Value (2034)	US$ 72127.79 million
Estimated Growth (2024 to 2034)	11.7% CAGR

Category-wise Insights

Attributes	Details
Top Indication	Type 2 Diabetes
Market Share (2024)	75.00%

Attributes	Details
Distribution Channel	Hospital Pharmacies
Market Share (2024)	34.00%

Country-wise Insights

Countries	CAGR (2024 to 2034)
India	24.70%
China	23.10%
United Kingdom	12.10%

Context

How satisfied are U.S. patients? Is a hospital's overall score really determined by how well it provides good customer services? Are there types of hospitals or regions where patient satisfaction is better or worse?

Every year, all U.S. hospitals that accept payments from Medicare and Medicaid must submit quality data to The Centers for Medicare and Medicaid Services (CMS). CMS' Hospital Compare program is a consumer-oriented website that provides information on "the quality of care hospitals are providing to their patients." CMS releases this quality data publicly in order to encourage hospitals to improve their quality and to help consumer make better decisions about which providers they visit.

"Hospital Compare provides data on over 4,000 Medicare-certified hospitals, including acute care hospitals, critical access hospitals (CAHs), children’s hospitals, Veterans Health Administration (VHA) Medical Centers, and hospital outpatient departments"

The Centers for Medicare & Medicaid Services (CMS) uses a five-star quality rating system to measure the experiences Medicare beneficiaries have with their health plan and health care system — the Star Rating Program. Health plans are rated on a scale of 1 to 5 stars, with 5 being the highest.

One part of a hospital's overall rating is it's patient satisfaction survey scores. CMS attempts to take into consideration how well patients are treated by the provider. A description of HCAHPS can be found here ***HCAHPS Description.

Content

| Filename | Year | Dataset Rows | Dataset Columns | | --- | --- | --- | --- ] | cms_hospital_patient_satisfaction_2020.csv | 2020 | 442587 | 43 | | cms_hospital_patient_satisfaction_2019.csv | 2019 | 442401 | 43 | | cms_hospital_patient_satisfaction_2018.csv | 2018 | 239650 | 43 | | cms_hospital_patient_satisfaction_2017.csv | 2017 | 264660 | 43 | | cms_hospital_patient_satisfaction_2016.csv | 2016 | 264385 | 43 |

• Includes the most recent Hospital General Information.csv data for each archive year found on CMS' archive site. Years: 2016-2020

NOTE: Some Hospital Medicare IDs have leading zeroes. Be sure to read Facility ID column as a string.

| Column Name | Data Type | Description | | --- | --- | -- | | Facility ID | Char(6) | Facility Medicare ID | | Facility Name | Char(72) | Name of the facility | | Address | Char(51) | Facility street address | | City | Char(20) | Facility City | | State | Char(2) | Facility State | | ZIP Code | Num(8) | Facility ZIP Code | | County Name | Char(25) | Facility County | | Phone Number | Char(14) | Facility Phone Number | | HCAHPS Measure ID | Char(25) | HCAHPS Patient Survey Measure Name | | HCAHPS Question | Char(138) | HCAHPS Patient Survey Question | | HCAHPS Answer Description | Char(118)| HCAHPS Patient Survey Answer | | Patient Survey Star Rating | Char(14) | Overall rating for survey item | | Patient Survey Star Rating Footnote | Char(7) | n/a | | HCAHPS Answer Percent | Char(14) | Percent of surveys with question answered | | HCAHPS Answer Percent Footnote | Char(8) | n/a | | HCAHPS Linear Mean Value | Char(14) | HCAHPS Patient Survey question linear mean value | | Number of Completed Surveys | Char(13) | Number of completed surveys for hospital. N-size. | | Number of Completed Surveys Footnote | Char(8) | n/a | | Survey Response Rate Percent | Char(13) | Hospital survey response rate. | | Survey Response Rate Percent Footnote | Char(8) | n/a | | Start Date | Date | Survey collection period start date | | End Date | Date | Survey collection period end date | | Year | Char(4) | cms data release year | | Hospital Type | Char(34) | What type of facility is it? | | Hospital Ownership | Char(43) | What type of ownership does the facility have? | | Emergency Services | Char(3)) | Does the facility have emergency services Yes/No? | | Meets criteria for promoting interoperability of EHRs | Char(1) | Does facility meet government EHR standard Yes/No? | | Hospital overall rating | Char(13) | Hospital Overall Star Rating 1=Worst; 5=Best. Aggregate measure of all other measures | | Hospital overall rating footnote | Num(8) | | | Mortality national comparison | Char(28) | Facility overall performance on mortality measures compared to other facilities | | Mortality national comparison footnote | Num(8) | | | Safety of care national comparison | Char(28) | Facility overall performance on safety measures compared to other facilities | | Safety of care national comparison footnote | Num(8) | | | Readmission national co...

According to Cognitive Market Research, the global Hospital Supplies market size was 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 the H...

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 ...

From stethoscopes and MRIs to veterinarian equipment, surgical instruments and more, medical equipment plays a vital role in maintaining our health and well-being--and remains a top industrial market to sell to. Want to explore more about this powerful sector? This article will provide we analyze key statistics on industry size, market value, and employment trends. We'll also explore the leading U.S. medical equipment manufacturers shaping the industry.

According to Cognitive Market Research, the global Modular Hospital market size was 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 operation...

Report Attribute/Metric	Details
Market Size 2024	6.7 billion USD
Market Size in 2025	USD 7.2 billion
Market Size 2030	10.2 billion USD
Report Coverage	Market Size for past 5 years and forecast for future 10 years, Competitive Analysis & Company Market Share, Strategic Insights & trends
Segments Covered	Product Type, End Users, Material Type, Distribution Channel
Regional Scope	North America, Europe, Asia Pacific, Latin America and Middle East & Africa
Country Scope	U.S., Canada, Mexico, UK, Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Mexico, Argentina, Saudi Arabia, UAE and South Africa
Top 5 Major Countries and Expected CAGR Forecast	U.S., Germany, France, UK, Japan - Expected CAGR 4.7% - 6.9% (2025 - 2034)
Top 3 Emerging Countries and Expected Forecast	India, China, Brazil - Expected Forecast CAGR 8.3% - 9.9% (2025 - 2034)
Companies Profiled	Unitex Textile Rental Services Inc., Emes Textiles Pvt. Ltd., Angelica Corp., Elizabethtown Laundry Company, Healthcare Services Group Inc., ImageFIRST, Tetsudo Linen Service Co. Ltd., Celtic Linen, V-linen Pvt. Ltd. and Raenco Mills

The global barrier-free hospital elevator market is experiencing robust growth, driven by increasing accessibility regulations, aging populations demanding better healthcare infrastructure, and a rising focus on patient comfort and safety. The market, currently estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 5% from 2025 to 2033. This growth is fueled by several key factors including the increasing prevalence of chronic diseases requiring frequent hospital visits, technological advancements leading to more sophisticated and safer elevator systems, and government initiatives promoting inclusive healthcare environments. The demand for barrier-free elevators is particularly strong in developed regions like North America and Europe, where building codes and accessibility standards are stringent. However, developing economies in Asia-Pacific and the Middle East & Africa are also witnessing considerable growth, driven by increasing healthcare expenditure and infrastructure development. The market segmentation reveals a strong demand for medium-speed elevators within hospitals, reflecting the balance between efficient transport and passenger comfort. However, high-speed elevators are gaining traction in larger, multi-story hospitals that prioritize efficient patient and staff movement. Significant growth is also expected in the specialist clinic segment, reflecting the increasing trend toward specialized medical care. Leading players such as Otis, Mitsubishi Electric, and ThyssenKrupp are actively investing in research and development to enhance elevator safety features, improve energy efficiency, and cater to the growing demand for customized solutions. Competition is intensifying, with both established players and regional manufacturers vying for market share through innovation and competitive pricing. Challenges include high installation costs and the need for specialized maintenance expertise, but the long-term growth prospects remain positive due to the compelling need for accessible healthcare infrastructure globally.

Report Attribute/Metric	Details
Market Size 2023	39.3 billion USD
Market Size in 2024	USD 43.1 billion
Market Size 2030	75.5 billion USD
Report Coverage	Market Size for past 5 years and forecast for future 10 years, Competitive Analysis & Company Market Share, Strategic Insights & trends
Segments Covered	Type, Application, End-User
Regional Scope	North America, Europe, Asia Pacific, Latin America and Middle East & Africa
Country Scope	U.S., Canada, Mexico, UK, Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Mexico, Argentina, Saudi Arabia, UAE and South Africa
Top 5 Major Countries and Expected CAGR Forecast	U.S., UK, India, Japan, Germany - Expected CAGR 7.2% - 10.3% (2024 - 2033)
Top 3 Emerging Countries and Expected Forecast	Brazil, South Africa, Thailand - Expected Forecast CAGR 9.4% - 12.3% (2024 - 2033)
Companies Profiled	Aetna, Allianz, AXA, Cigna, MetLife, Prudential, UnitedHealthcare, Zurich Insurance, Aviva, Generali, Manulife and Reliance Nippon Life

The deployable healthcare solutions market is experiencing robust growth, driven by increasing demand for rapid response capabilities in emergency situations, military operations, and disaster relief efforts. A 5% CAGR suggests a steadily expanding market, projected to reach significant size within the forecast period (2025-2033). Key segments fueling this growth include ambulance services, containerized medical hospitals, and mobile clinics, each catering to specific needs. The military and defense sector represents a substantial portion of the market, demanding sophisticated and adaptable healthcare solutions for deployment in remote or challenging environments. However, high initial investment costs and logistical complexities associated with deploying and maintaining these solutions represent key restraints. Technological advancements such as telehealth integration and improved mobile medical equipment are driving market innovation and creating new opportunities. Leading companies like Saab, Medical Rescue Group, and Airbus Intelligence are at the forefront of this evolution, constantly innovating to enhance the efficiency and effectiveness of deployable healthcare solutions. The market exhibits a geographically diverse spread, with North America and Europe currently leading in adoption, although developing economies in the Asia-Pacific region are demonstrating significant growth potential. This is driven by rising healthcare infrastructure needs and increasing awareness of the benefits of readily deployable medical facilities. The market's future hinges on continued technological advancements, government investments in emergency preparedness, and the increasing prevalence of natural disasters and humanitarian crises. Furthermore, the growing integration of telemedicine capabilities within these solutions is significantly boosting their efficiency and accessibility, extending their reach to remote populations and enhancing the overall quality of care provided. The competitive landscape is marked by a mix of established players and emerging innovators, indicating a dynamic and evolving market with considerable potential for further expansion and diversification. The focus on enhancing portability, durability, and technological integration is likely to shape the market's trajectory over the next decade, driving demand for specialized and adaptable healthcare systems.