According to a ranking by Statista and Newsweek, the best hospital in the United States is the Mayo Clinic in Rochester, Minnesota. Moreover, the Mayo Clinic was also ranked as the best hospital in the world, among over 50,000 hospitals in 30 countries. Cleveland Clinic in Ohio and the Johns Hopkins Hospital in Maryland were ranked as second and third best respectively in the U.S., while they were second and forth best respectively in the World.

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.

This statistic depicts a ranking of the top 10 largest U.S. for-profit hospitals based on the number of beds as of February 2024. At this point, the Methodist Hospital in San Antonio, Texas, was ranked first among such hospitals in the United States, with a total of 1,831 beds. The top three largest for-profit hospitals were all in Texas.

According to a ranking of the best hospitals in the U.S., the best hospital for adult cardiology, heart, and vascular surgery is the Cleveland Clinic in Ohio, which had a score of 100 out of 100, as of 2024. This statistic shows the top 10 hospitals for adult cardiology, heart, and vascular surgery in the United States based on the score given by U.S. News and World Report's annual hospital ranking.

This statistic depicts a ranking of the top 10 U.S. hospitals based on net patient revenue in 2014. In that year, the Cleveland Clinic Hospital in Cleveland, Ohio, was ranked first in the United States, generating approximately 4.19 billion U.S. dollars of net patient revenue.

This statistic depicts a ranking of the top 10 U.S. for-profit hospitals based on gross revenue in 2013. In that year, the Methodist Hospital in San Antonio, Texas, was ranked first in the United States, with a gross revenue of approximately 5.7 billion U.S. dollars.

Hospitals play a critical role in healthcare, offering specialized treatments and emergency services essential for public health, regardless of economic fluctuations or individuals' financial situations. Rising incomes and broader access to insurance have fueled demand for care in recent years, supporting hospitals' post-pandemic recovery initiated by federal policies and funding. The recovery for many hospitals was also promoted by mergers that lessened financial strains, especially in rural hospitals. This trend toward consolidation has resulted in fewer enterprises relative to establishments, enhancing hospitals' bargaining power regarding input costs and insurance reimbursements. With this improved position, hospitals are expected to see revenue climb at a CAGR of 2.0%, reaching $1.5 trillion by 2025, with a 3.2% increase in 2025 alone. Competition, economic conditions and regulatory changes will impact hospitals based on size and location. Smaller hospitals, particularly rural ones, may encounter more significant obstacles as the industry transitions from fee-based to value-based care. Independent hospitals face wage inflation, staffing shortages and drug supply costs. Although state and federal policies aim to support small rural hospitals in addressing hospital deserts, uncertainties linger over federal Medicare funding and Medicaid reimbursements, which account for nearly half of hospital care spending. Even so, increasing per capita disposable income and increasing the number of individuals with private insurance will boost revenues from private insurers and out-of-pocket payments for all hospitals, big and small. Hospitals will continue incorporating technological advancements in AI, telemedicine and wearables to enhance their services and reduce cost. These technologies aid hospital systems in strategically expanding outpatient services, mitigating the increasing competitive pressures from Ambulatory Surgery Centers (ASCs) and capitalizing on the increased needs of an aging adult population and shifts in healthcare delivery preferences. As the consolidation trend advances and technology adoption further leverages economies of scale, industry revenue is expected to strengthen at a CAGR of 2.4%, reaching $1.7 trillion by 2030, with steady profit over the period.

The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates. The data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.

*Standardized units.Characteristics of the top 50 Cancer Hospitals, as ranked by the US News and World Report.

This statistic depicts the top 10 most innovative IT hospitals in the U.S. in 2018, by the percentage of their budget attributed to IT. At that time Nicklaus Children's Hospital System in Miami, Florida was the most innovative hospital with over 10 percent of their operating budget dedicated to IT.

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.

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.

After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Sunday to Saturday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.

The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities.

For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-15 means the average/sum/coverage of the elements captured from that given facility starting and including Sunday, November 15, 2020, and ending and including reports for Saturday, November 21, 2020.

Reported elements include an append of either “_coverage”, “_sum”, or “_avg”.

• A “_coverage” append denotes how many times the facility reported that element during that collection week.
• A “_sum” append denotes the sum of the reports provided for that facility for that element during that collection week.
• A “_avg” append is the average of the reports provided for that facility for that element during that collection week.

The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”.

A story page was created to display both corrected and raw datasets and can be accessed at this link: https://healthdata.gov/stories/s/nhgk-5gpv

This data is preliminary and subject to change as more data become available. Data is available starting on July 31, 2020.

Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied according to prioritization rules within HHS Protect.

For influenza fields listed in the file, the current HHS guidance marks these fields as optional. As a result, coverage of these elements are varied.

For recent updates to the dataset, scroll to the bottom of the dataset description.

On May 3, 2021, the following fields have been added to this data set.

• hhs_ids
• previous_day_admission_adult_covid_confirmed_7_day_coverage
• previous_day_admission_pediatric_covid_confirmed_7_day_coverage
• previous_day_admission_adult_covid_suspected_7_day_coverage
• previous_day_admission_pediatric_covid_suspected_7_day_coverage
• previous_week_personnel_covid_vaccinated_doses_administered_7_day_sum
• total_personnel_covid_vaccinated_doses_none_7_day_sum
• total_personnel_covid_vaccinated_doses_one_7_day_sum
• total_personnel_covid_vaccinated_doses_all_7_day_sum
• previous_week_patients_covid_vaccinated_doses_one_7_day_sum
• previous_week_patients_covid_vaccinated_doses_all_7_day_sum

On May 8, 2021, this data set has been converted to a corrected data set. The corrections applied to this data set are to smooth out data anomalies caused by keyed in data errors. To help determine which records have had corrections made to it. An additional Boolean field called is_corrected has been added.

On May 13, 2021 Changed vaccination fields from sum to max or min fields. This reflects the maximum or minimum number reported for that metric in a given week.

On June 7, 2021 Changed vaccination fields from max or min fields to Wednesday reported only. This reflects that the number reported for that metric is only reported on Wednesdays in a given week.

On September 20, 2021, the following has been updated: The use of analytic dataset as a source.

On January 19, 2022, the following fields have been added to this dataset:

• inpatient_beds_used_covid_7_day_avg
• inpatient_beds_used_covid_7_day_sum
• inpatient_beds_used_covid_7_day_coverage

On April 28, 2022, the following pediatric fields have been added to this dataset:

• all_pediatric_inpatient_bed_occupied_7_day_avg
• all_pediatric_inpatient_bed_occupied_7_day_coverage
• all_pediatric_inpatient_bed_occupied_7_day_sum
• all_pediatric_inpatient_beds_7_day_avg
• all_pediatric_inpatient_beds_7_day_coverage
• all_pediatric_inpatient_beds_7_day_sum
• previous_day_admission_pediatric_covid_confirmed_0_4_7_day_sum
• previous_day_admission_pediatric_covid_confirmed_12_17_7_day_sum
• previous_day_admission_pediatric_covid_confirmed_5_11_7_day_sum
• previous_day_admission_pediatric_covid_confirmed_unknown_7_day_sum
• staffed_icu_pediatric_patients_confirmed_covid_7_day_avg
• staffed_icu_pediatric_patients_confirmed_covid_7_day_coverage
• staffed_icu_pediatric_patients_confirmed_covid_7_day_sum
• staffed_pediatric_icu_bed_occupancy_7_day_avg
• staffed_pediatric_icu_bed_occupancy_7_day_coverage
• staffed_pediatric_icu_bed_occupancy_7_day_sum
• total_staffed_pediatric_icu_beds_7_day_avg
• total_staffed_pediatric_icu_beds_7_day_coverage
• total_staffed_pediatric_icu_beds_7_day_sum

On October 24, 2022, the data includes more analytical calculations in efforts to provide a cleaner dataset. For a raw version of this dataset, please follow this link: https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/uqq2-txqb

Due to changes in reporting requirements, after June 19, 2023, a collection week is defined as starting on a Sunday and ending on the next Saturday.

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.

This statistic shows the top 10 most expensive conditions in U.S. hospitals with an expected payer of private insurance during 2017. Septicemia was ranked third for private insurance with more than 6.6 billion U.S. dollars.

Success.ai’s Healthcare Industry Leads Data and B2B Contact Data for US Healthcare Professionals offers an extensive and verified database tailored to connect businesses with key executives and administrators in the healthcare industry across the United States. With over 170M verified profiles, including work emails and direct phone numbers, this dataset enables precise targeting of decision-makers in hospitals, clinics, and healthcare organizations.

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• Data Highlights 170M+ Verified Profiles 50M Direct Phone Numbers 700M Global Professional Profiles 70M Verified Company Profiles

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The Emergency Department Information System (EDIS) market is experiencing robust growth, projected to reach $1.03 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 14.37% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing patient volumes in emergency departments necessitate efficient and streamlined workflows, pushing hospitals and healthcare providers to adopt EDIS solutions for improved patient care and operational efficiency. The rising adoption of electronic health records (EHRs) and the increasing focus on interoperability within healthcare systems further contribute to market growth. Furthermore, government initiatives promoting the digitization of healthcare records and the implementation of value-based care models are significantly impacting EDIS adoption. The shift towards cloud-based and Software-as-a-Service (SaaS) deployment models offers scalability and cost-effectiveness, attracting more healthcare organizations to invest in EDIS. However, the market faces challenges such as high initial investment costs, the need for extensive staff training, and concerns regarding data security and privacy. Despite these restraints, the long-term benefits of improved patient outcomes, reduced medical errors, and enhanced operational efficiency are expected to drive continuous market growth over the forecast period. The market is segmented by application (CPOE, clinical documentation, patient tracking, e-prescribing), deployment (on-premise, SaaS), software type (enterprise, best-of-breed), and end-user (small, medium, and large hospitals). North America currently holds a significant market share, driven by advanced healthcare infrastructure and high technology adoption rates, but the Asia-Pacific region is poised for substantial growth due to increasing healthcare spending and modernization efforts. The competitive landscape is characterized by a mix of established players like Allscripts, Cerner, and Epic Systems, alongside specialized vendors offering best-of-breed solutions. The market's future hinges on technological advancements such as artificial intelligence (AI) integration for improved diagnostics and predictive analytics, as well as the continued development of interoperable systems that facilitate seamless data exchange across different healthcare settings. The focus will remain on enhancing user experience, improving data security, and providing robust reporting and analytics capabilities. The ongoing evolution of healthcare regulations and data privacy standards will continue to shape the EDIS market, with vendors needing to ensure compliance and adapt to evolving industry best practices. Strategic partnerships and mergers and acquisitions are likely to be significant activities in this dynamic market, driving innovation and market consolidation. Recent developments include: In March 2022, HeartBeam, Inc. signed a Business Associate Agreement (BAA) and a Clinical Trial Agreement (CTA) with Phoebe Putney Health System to conduct a pilot study designed to evaluate HeartBeam's Emergency Department (ED) Myocardial Infarction (MI) software product., In January 2022, Aidoc signed a partnership with Novant Health. By incorporating Aidoc's AI platform, which includes seven FDA-cleared solutions for triage and notification of patients with acute medical conditions, Novant Health is taking proactive steps to improve patient outcomes and reduce emergency department (ED) length of stay amid resource constraints inflicted by the Omicron variant.. Key drivers for this market are: Rise in the Geriatric Population, Increasing Use Of Data-Driven Technologies; Increase in Number of Insured Population. Potential restraints include: Rise in the Geriatric Population, Increasing Use Of Data-Driven Technologies; Increase in Number of Insured Population. Notable trends are: Best of Breed (B.O.B.) Solutions are Anticipated to be the Dominant Segment in Software Type During the Forecast Period.

This statistic depicts the top 10 most expensive conditions in U.S. hospitals ith an expected payer of Medicaid during 2017. With approximately 1.6 billion U.S. dollars in total, diabetes mellitus with complication was ranked fifth.

Hospital Real-Time Location Systems (RTLS) Market Outlook

The global hospital real-time location systems (RTLS) market size is anticipated to grow from USD 2.5 billion in 2023 to USD 7.6 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 14.5% during the forecast period. This rapid market growth is driven by the increasing need for efficient workflow management and enhanced patient care in healthcare facilities.

One of the primary factors fueling the growth of the hospital RTLS market is the escalating demand for improved patient safety and operational efficiency. Hospitals are increasingly adopting RTLS technology to enhance patient care by reducing wait times, preventing medication errors, and ensuring timely delivery of healthcare services. With the growing prevalence of chronic diseases and increasing patient admissions, the need for efficient asset and staff management has become critical, thereby driving the adoption of RTLS in healthcare settings.

Moreover, advancements in technology and the integration of IoT (Internet of Things) in the healthcare sector have significantly contributed to the growth of the RTLS market. The introduction of advanced technologies such as RFID (Radio Frequency Identification), Wi-Fi, Bluetooth, and ultrasound has revolutionized the way hospitals manage their resources. These technologies provide real-time tracking and monitoring capabilities, enabling healthcare providers to make informed decisions quickly and efficiently.

Another notable growth factor is the increasing government initiatives and funding to improve healthcare infrastructure. Governments across various regions are investing heavily in healthcare IT solutions, including RTLS, to enhance the quality of care and ensure patient safety. For instance, initiatives to implement electronic health records (EHR) and other digital health solutions are creating a favorable environment for the adoption of RTLS in hospitals and other healthcare facilities.

From a regional perspective, North America holds a significant share of the hospital RTLS market, attributed to the well-established healthcare infrastructure and high adoption rate of advanced technologies. Europe follows closely, with countries like Germany, France, and the UK investing substantially in healthcare IT solutions. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the increasing healthcare expenditure, growing awareness about the benefits of RTLS, and the rising number of hospitals and healthcare facilities in countries like China and India.

Component Analysis

The hospital RTLS market is segmented by components into hardware, software, and services. The hardware segment comprises tags, sensors, and other tracking devices essential for the implementation of RTLS in healthcare settings. The software segment includes the applications and platforms that facilitate the analysis and visualization of the data collected by the hardware components. Services encompass installation, maintenance, and consulting services necessary for the effective deployment and operation of RTLS solutions.

In the hardware segment, tags and sensors play a crucial role in tracking the location of assets, patients, and staff within the hospital premises. These devices are equipped with various technologies such as RFID, Wi-Fi, Bluetooth, and ultrasound to ensure accurate real-time tracking. The demand for advanced and miniaturized tags and sensors is on the rise, driven by the need for more precise and reliable tracking solutions in healthcare facilities.

The software segment is witnessing significant growth due to the increasing adoption of analytics and data visualization tools in healthcare. These software solutions enable healthcare providers to monitor and manage hospital operations effectively, leading to improved patient care and operational efficiency. The integration of RTLS with other healthcare IT systems, such as EHR and hospital information systems (HIS), is further driving the demand for advanced software solutions.

Services play a vital role in the successful implementation and operation of RTLS in hospitals. Installation services ensure that the hardware and software components are correctly set up and integrated with existing hospital systems. Maintenance services are essential to keep the RTLS infrastructure functioning optimally and to address any technical issues that may arise. Consulting services provide hospitals with expert guidance on the best practice

Success.ai’s Healthcare Industry Leads Data for the North American Healthcare Sector provides businesses with a comprehensive dataset designed to connect with healthcare organizations, decision-makers, and key stakeholders across the United States, Canada, and Mexico. Covering hospitals, pharmaceutical firms, biotechnology companies, and medical equipment providers, this dataset delivers verified contact information, firmographic details, and actionable business insights.

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