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. 

In 2023, the health care system in Finland ranked first with a care index score of 85.9, followed by Belgium and Japan. Care systems index score is measured using multiple indicators from various public databases, it evaluates the capacity of a health system to treat and cure diseases and illnesses, once it is detected in the population This statistic shows the care systems ranking of countries worldwide in 2023, by their index score.

According to a study from 2024, Japan's medical infrastructure and professionals were ranked as the best in the world, scoring 98.7 out of a possible 100. Ranked as second and third were Italy and Iceland. This statistic represents the ranking of the top 20 countries with the best medical infrastructure and professionals worldwide in 2024, by index score.

The average for 2020 based on 36 countries was 4.44 hospital beds. The highest value was in South Korea: 12.65 hospital beds and the lowest value was in Mexico: 0.99 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

According to a 2021 health care systems ranking among selected high-income countries, the United States came last in the overall ranking of its health care system performance. The overall ranking was based on five performance categories, including access to care, care process, administrative efficiency, equity, and health care outcomes. For the category administrative efficiency, which measures the amount of paperwork for providers and patients in the health system, the U.S. was ranked last, while Norway took first place. This could be because the health system in the U.S. is a multi-payer system, while Norway has a single-payer system, which most likely simplifies documentation and billing tasks. This statistic present the health care administrative efficiency rankings of the United States' health care system compared to ten other high-income countries in 2021.

Success.ai’s Healthcare Professionals Data for Healthcare & Hospital Executives in Europe provides a reliable and comprehensive dataset tailored for businesses aiming to connect with decision-makers in the European healthcare and hospital sectors. Covering healthcare executives, hospital administrators, and medical directors, this dataset offers verified contact details, professional insights, and leadership profiles.

With access to over 700 million verified global profiles and data from 70 million businesses, Success.ai ensures your outreach, market research, and partnership strategies are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is indispensable for navigating and thriving in Europe’s healthcare industry.

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   • Access verified work emails, phone numbers, and LinkedIn profiles of healthcare executives, hospital administrators, and medical directors.
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VHA hospitals Timely Care Data

Performance on Clinical Measures and Processes of Care

By US Open Data Portal, data.gov [source]

About this dataset

This dataset provides an inside look at the performance of the Veterans Health Administration (VHA) hospitals on timely and effective care measures. It contains detailed information such as hospital names, addresses, census-designated cities and locations, states, ZIP codes county names, phone numbers and associated conditions. Additionally, each entry includes a score, sample size and any notes or footnotes to give further context. This data is collected through either Quality Improvement Organizations for external peer review programs as well as direct electronic medical records. By understanding these performance scores of VHA hospitals on timely care measures we can gain valuable insights into how VA healthcare services are delivering values throughout the country!

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How to use the dataset

This dataset contains information about the performance of Veterans Health Administration hospitals on timely and effective care measures. In this dataset, you can find the hospital name, address, city, state, ZIP code, county name, phone number associated with each hospital as well as data related to the timely and effective care measure such as conditions being measured and their associated scores.

To use this dataset effectively, we recommend first focusing on identifying an area of interest for analysis. For example: what condition is most impacting wait times for patients? Once that has been identified you can narrow down which fields would best fit your needs - for example if you are studying wait times then “Score” may be more valuable to filter than Footnote. Additionally consider using aggregation functions over certain fields (like average score over time) in order to get a better understanding of overall performance by factor--for instance Location.

Ultimately this dataset provides a snapshot into how Veteran's Health Administration hospitals are performing on timely and effective care measures so any research should focus around that aspect of healthcare delivery

Research Ideas

• Analyzing and predicting hospital performance on a regional level to improve the quality of healthcare for veterans across the country.
• Using this dataset to identify trends and develop strategies for hospitals that consistently score low on timely and effective care measures, with the goal of improving patient outcomes.
• Comparison analysis between different VHA hospitals to discover patterns and best practices in providing effective care so they can be shared with other hospitals in the system

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: csv-1.csv | Column name | Description | |:-----------------------|:-------------------------------------------------------------| | Hospital Name | Name of the VHA hospital. (String) | | Address | Street address of the VHA hospital. (String) | | City | City where the VHA hospital is located. (String) | | State | State where the VHA hospital is located. (String) | | ZIP Code | ZIP code of the VHA hospital. (Integer) | | County Name | County where the VHA hospital is located. (String) | | Phone Number | Phone number of the VHA hospital. (String) | | Condition | Condition being measured. (String) | | Measure Name | Measure used to measure the condition. (String) | | Score | Score achieved by the VHA h...

According to a survey from February 2023, Taiwan was ranked as the best country for expat healthcare, followed by South Korea and Qatar. This statistic represents the ranking of top ten countries with best healthcare for expats worldwide in 2023.

Snapshot img

Emergency Medical Services Market Size 2024-2028

The emergency medical services market size is forecast to increase by USD 7.37 billion at a CAGR of 5.8% between 2023 and 2028.

In the Emergency Medical Services (EMS) market, the integration of technology plays a pivotal role in enhancing the human ability to execute tasks effectively. Technology facilitates perform analysis and make informed decisions during critical situations. For instance, calculator and math calculations are essential in emergency situations, and enterprise software streamlines business processes.
Furthermore, artificial intelligence (AI) is increasingly being adopted to write code and enable autonomous decision-making. Favorable reimbursement policies and the increasing prevalence of infectious diseases fuel market growth. company competition intensifies as companies strive to offer advanced solutions to meet the evolving needs of the industry. In summary, technology advancements, reimbursement policies, and market competition are the key drivers shaping the market.

What will be the Size of the Market During the Forecast Period?

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The integration of technology in emergency medical services (EMS) has revolutionized the way human abilities are utilized to execute tasks, perform analysis, and make critical decisions. Enterprise software solutions have become essential tools in this industry, enabling EMS professionals to streamline business processes and ensure safety. Artificial Intelligence (AI) technology plays a significant role in enhancing the capabilities of EMS. AI systems can write code and perform complex math calculations, allowing human intelligence to focus on more critical aspects of patient care. These AI applications are being developed and implemented in various contexts to improve accuracy and efficiency.
Furthermore, simulation tools are another important aspect of technology in EMS. Machines can be programmed to mimic real-life scenarios, providing valuable training opportunities for EMS personnel. These simulations help ensure that decisions made during emergencies are based on accurate information and best practices. AI systems are increasingly being used in control rooms to analyze data and make decisions in real-time. Self-driving cars and autonomous vehicles are also being integrated into EMS operations, enabling faster response times and improved patient outcomes. The use of AI in EMS is not meant to replace human intelligence but rather to complement it.
Moreover, AI systems can process vast amounts of data quickly and accurately, providing valuable insights that can inform human decision-making. This partnership between human and AI intelligence is essential in ensuring the best possible patient care. Content management and user interface design are also critical components of technology in EMS. Effective communication and information sharing between EMS personnel and hospital staff are crucial for efficient patient care. User-friendly interfaces and seamless data transfer enable EMS professionals to access essential patient information quickly and make informed decisions on the go. In conclusion, technology plays a vital role in enhancing the capabilities of emergency medical services. From AI systems and simulation tools to content management and user interface design, technology is enabling EMS professionals to streamline business processes, improve decision-making, and ultimately provide better patient care.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

  Life support and emergency resuscitation
  Patient monitoring systems
  Wound care consumables
  Patient handling equipment
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  Asia

    China


  Rest of World (ROW)

By Product Insights

The life support and emergency resuscitation segment is estimated to witness significant growth during the forecast period.

The life support and emergency resuscitation segment is a vital part of The market, playing a crucial role in saving lives during critical situations. This segment comprises various products and technologies intended to stabilize patients encountering life-threatening emergencies, including cardiac arrest, respiratory failure, and severe trauma. The expansion of this segment can be attributed to several factors, such as the increasing prevalence of cardiovascular diseases, trauma injuries, and other acute medical conditions. For example, cardiac arrest is a leading cause of mortality, with hundreds of thousands of out-of-hospital cardiac arrests reported yearly in numerous countries.

Cons

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 ...

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

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

Snapshot img

Healthcare Information Systems Market Size 2024-2028

The healthcare information systems market size is forecast to increase by USD 126.2 billion at a CAGR of 9.5% between 2023 and 2028.

The market is experiencing significant growth due to the increasing demand for efficient medical care and disease management. Key features of HIS, such as medical device integration and ease of use, are driving this growth. Remote patient monitoring and disease management are becoming increasingly important, enabling healthcare providers to deliver better patient care and financial savings through improved efficiency. However, technical considerations, including data security and privacy, remain challenges that must be addressed to ensure the successful implementation and adoption of HIS. The market is witnessing a high demand for electronic health record (EHR) solutions and an increasing number of mergers and acquisitions. Despite these opportunities, it is crucial for providers to carefully consider the technical aspects of HIS implementation to ensure seamless integration and optimal performance.

What will be the Size of the Market During the Forecast Period?

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The healthcare industry is undergoing a significant transformation, driven by advancements in technology and the increasing demand for efficient, patient-centric care. The market is witnessing substantial growth as healthcare organizations seek to optimize their operations, improve patient outcomes, and reduce costs. Healthcare data management is a critical component of this transformation. The ability to collect, store, and analyze large volumes of patient data is essential for delivering personalized and precise medical care. Healthcare data analytics is playing an increasingly important role in this regard, enabling healthcare providers to gain valuable insights from patient data and make informed decisions.
In addition, another key trend in the market is healthcare data security. With the increasing digitization of healthcare data, ensuring its security and privacy is a top priority. Healthcare organizations are investing in advanced cybersecurity solutions to protect sensitive patient information from cyber threats. Mobile technology is also transforming the healthcare landscape. Mobile health apps, telehealth platforms, and wearable technology are enabling remote patient monitoring, teleconsultations, and other innovative healthcare services. These technologies are improving patient engagement, enhancing the patient experience, and reducing the need for in-person visits. Cloud-based healthcare systems are another area of growth in the market.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Revenue cycle management
  Hospital information system
  Medical imaging information system
  Pharmacy information systems
  Laboratory information systems


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  Asia

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The revenue cycle management segment is estimated to witness significant growth during the forecast period.

The healthcare industry's shift towards digitalization is driving the adoption of Healthcare Information Systems (HCIS), particularly in patient engagement and managing patient-related data. Chronic diseases, which account for a significant portion of healthcare expenditures, necessitate effective data management and analysis. HCIS product lines, including hardware and healthcare IT solutions, enable healthcare facilities to streamline operations, reduce costs, and enhance patient care. As the US population ages and the prevalence of chronic diseases increases, the need for advanced healthcare data analytics becomes more critical. HCIS solutions help manage complex billing processes, ensuring accuracy and compliance with regulations such as HIPAA and FDCPA.

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The revenue cycle management segment was valued at USD 81.10 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 47% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In North America, the market is among the most advanced, driven by substantial investments in healthcare and government initiativ

According to a ranking by Statista and Newsweek, the best hospital in Sweden is the Karolinska Universitetssjukhuset in Stockholm. Moreover, Karolinska Universitetssjukhuset was also ranked as the seventh-best hospital in the world, among over 50,000 hospitals in 30 countries. Sahlgrenska Universitetssjukhuset in Göteborg and Akademiska Sjukhuset in Uppsala were ranked as second and third best respectively in the Sweden, while they were 74th and 75th best respectively in the World.

Success.ai’s B2B Contact Data and Healthcare Professionals Data for Global Healthcare Professionals offers businesses a powerful resource to connect with healthcare administrators and decision-makers across the globe. Derived from over 170 million verified professional profiles, this dataset delivers unparalleled accuracy and reach, enabling effective outreach and building strategic relationships with professionals in the healthcare sector.

Why Choose Success.ai’s Global Healthcare Professionals Contact Data?

1. Verified Contact Information:
2. Access accurate and up-to-date work emails and direct phone numbers for healthcare administrators, executives, and other key professionals.

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Neighborhood Hospitals Market size was valued at USD 158 Million in 2023 and is projected to reach USD 226 Million by 2031, at a CAGR of 6.1% from 2024 to 2031.

Global Neighborhood Hospitals Market Drivers

The market drivers for the Neighborhood Hospitals Market can be influenced by various factors. These may include:

Growing Need for Convenient Healthcare Services: Neighborhood hospitals serve the needs of their communities by providing easily accessible and convenient healthcare services. The need for nearby healthcare facilities is rising as a result of growing urbanization and hectic lives.' Attempts to Save Healthcare Costs: Due to their lower expenses and emphasis on offering basic services, neighborhood hospitals are frequently more affordable than large, traditional hospitals. Healthcare payers and providers looking to save costs overall and maximize resource utilization may find this cost-effectiveness appealing. Emphasis on Outpatient and Emergency Care: Community hospitals frequently concentrate on offering emergency care and outpatient services, meeting the demand for prompt access to healthcare for minor illnesses and accidents. This emphasis is in line with the growing global trend of healthcare systems placing more emphasis on primary care and preventative services. Technological Developments in Healthcare: Neighborhood hospitals are now able to provide a wide range of services in an efficient and effective manner because to developments in medical technology, including telemedicine, remote monitoring, and point-of-care diagnostics. In smaller healthcare settings, these technologies improve patient care and expedite clinical procedures. Population Growth and Aging Demographics: As the world's population rises, older people are becoming more prevalent, which is increasing need for healthcare services. Neighborhood hospitals, which offer easily accessible and individualized care close to people's homes, are in a good position to meet the healthcare demands of an older population. Government Support and Regulatory Policies: As part of larger healthcare reform programs, governments and regulatory authorities are encouraging the creation of neighborhood hospitals in many different nations. Investment in these facilities is encouraged by favorable policies, incentives, and regulatory frameworks, which propels market expansion. Partnerships and Collaborations: In order to establish and run community hospitals, healthcare providers, insurers, and investors are developing partnerships and collaborations. Through these partnerships, community hospital networks can reach a wider audience and have a greater impact, which stimulates market growth. Customer Preference for Community-Based Healthcare: People are becoming more and more interested in getting medical care in settings that are close to home and provide individualized attention. By developing close relationships with the local community and providing patient-centered care close to home, neighborhood hospitals satisfy this preference.

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Healthcare Information Software Market Size 2024-2028

The healthcare information software market size is forecast to increase by USD 8.75 billion at a CAGR of 5.65% between 2023 and 2028.

In the dynamic healthcare landscape, smaller healthcare organizations and outpatient care facilities are increasingly adopting advanced information management systems to streamline operations and enhance patient care. The information-intensive nature of healthcare necessitates the use of efficient and integrated solutions for effective data exchange and decision-making. The clinical solutions segment, including revenue cycle management (RCM) solutions, is witnessing significant growth due to the need for cost reduction and improved patient care. The healthcare industry in the US is undergoing a digital transformation, with a significant focus on implementing advanced software solutions to enhance patient care, improve healthcare quality, and reduce costs.
Moreover, key trends include the adoption of AI in healthcare for improved diagnostics and patient outcomes, as well as the integration of consumer technology companies' offerings for better patient engagement. However, challenges persist, such as ensuring usability, interoperability, and data security in the face of growing cyberattacks. Health systems are focusing on IT architecture and data communication standards to address these concerns and provide comprehensive healthcare provider solutions. The cost of care and the need for efficient data exchange remain critical factors driving market growth.

What will be the Size of the Market During the Forecast Period?

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The market is witnessing notable growth due to various factors. Patient Safety and Quality: The need for enhanced patient safety and improved healthcare quality is a major driver for the adoption of healthcare information software. These solutions enable healthcare providers to access centralized medical records, ensuring accurate and timely diagnosis and treatment. Additionally, healthcare IT infrastructure, including telehealth and e-prescribing systems, facilitates remote patient monitoring and teleconsultation, enabling better care for patients with chronic diseases.
Moreover, the integration of healthcare systems is another key trend in the market. Healthcare organizations are investing in software solutions that enable seamless data exchange between different healthcare providers and departments. This not only enhances patient care but also reduces administrative costs and improves overall efficiency. The widespread use of smartphones and improved internet coverage in the US is fueling the growth of the market. Remote patient monitoring and teleconsultation are becoming increasingly popular, enabling patients to access healthcare services from the comfort of their homes. Furthermore, smartphones and mobile applications are being used to facilitate e-prescribing and other clinical solutions.
However, the rising healthcare costs in the US are also driving the adoption of healthcare information software. These solutions enable healthcare providers to streamline their operations, reduce administrative costs, and improve patient outcomes, leading to cost savings in the long run. The use of big data analytics and artificial intelligence (AI) in healthcare is a growing trend. These technologies enable healthcare providers to analyze patient data and identify patterns and trends, leading to better diagnosis and treatment. Additionally, AI-powered chatbots and virtual assistants are being used to provide patients with personalized healthcare advice and support.
In conclusion, the market is witnessing significant growth due to factors such as the need for enhanced patient safety and quality, the integration of healthcare systems, the widespread use of smartphones and internet coverage, and rising healthcare costs. The use of big data analytics and AI is also a growing trend, enabling healthcare providers to provide more personalized and effective care to their patients.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  HIS
  PIS


Deployment

  On premises
  Cloud based


Geography

  North America

    US


  Europe

    Germany
    UK


  Asia

    China
    Japan


  Rest of World (ROW)

By Application Insights

The HIS segment is estimated to witness significant growth during the forecast period.

Healthcare Information Software (HIS) is a vital solution for managing the intricate requirements of healthcare systems globally. A significant component of HIS is Electronic Health Records (EHR), which offers digital solutions for patie

According to Cognitive Market Research, the global Patient Flow Management Solutions market size is USD 3.4 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 24.3% from 2024 to 2031. Market Dynamics of Patient Flow Management Solutions Market

Key Drivers for Patient Flow Management Solutions Market

The growing demand to manage higher patient traffic in healthcare facilities is driving market expansion- Patient flow management systems are used to control the rising movement of patients into and out of hospitals and other health care facilities, reducing overcrowding and delays in care. Furthermore, as more individuals acquire access to insurance and healthcare, patient flow to hospitals and medical centers will grow, potentially worsening the issue by increasing the frequency of doctor visits. A number of hospitals and healthcare systems have implemented measures to improve patient flow management
Technological developments in patient flow management solutions drive market expansion

Key Restraints for Patient Flow Management Solutions Market

High implementation and maintenance costs associated with patient flow management solutions
Data Security and Privacy Concerns

Introduction of the Patient Flow Management Solutions Market

The Global Patient Flow Management Solutions Market encompasses a wide range of software, hardware, and services aimed at optimizing patient flow and coordination within healthcare institutions. These technologies attempt to improve operational efficiency, patient experience, and overall healthcare quality by optimizing operations like appointment scheduling, registration, bed management, workflow optimization, and real-time communication. The market has grown significantly in recent years as a result of reasons such as increased patient volume, rising healthcare expenses, the demand for better resource use, and the implementation of digital technologies in healthcare

The size of the Global Clinical EHR Systems Market was valued at USD 20.87 Million in 2023 and is projected to reach USD 31.69 Million by 2032, with an expected CAGR of 6.15% during the forecast period. Clinical EHR systems, or Electronic Health Records, basically refer to the electronic means of capturing, storing, managing, and sharing a patient's medical information. They basically provide an information warehouse for all sorts of health data, not limited to: medical history, diagnoses, medications, allergies, and test results. Clinical EHR really facilitate and streamline healthcare processes, improve patient care, and make healthcare more efficient in the long run. Now, clinical EHR systems are increasingly used in medical establishments all over the world, and each day cannot pass without implementation of such systems. One of the most obvious advantages in this field are the following: Information on the patient will be availed as soon as possible. That will be one of the best ways the health provider can make better decisions, provide more specific care to the patient, prevent medical errors, minimize cases of medication discrepancies, and enable the continuation of care. Better Operational Efficiency: EHRs can automate most work, thereby allowing administrators to manage administrative processes. Thus, the amount of paperwork that needs to be followed up is reduced. EHRs make it easier for providers to communicate with both their patients and other providers. This increases easy billing processes and enhances population health management initiatives.Easy retrieval, analysis, and sharing of patient data shall facilitate streamlined central management: Central management of the patient's data should be streamlined such that the retrieval, analysis, and sharing can be easy. EHRs can generate insights which shall then be used to carry out further research or quality improvement or any other public health initiative. Better patient engagement: EHRs can empower patients to better engage themselves in their own care. They make access to the records of their patients available and facilitate easy communication with health care providers and support self-management of chronic conditions. Some of the driving factors for the global clinical EHR market include increasing government mandates for electronic health records, increasing health-care cost, and increasing interest in improving patient outcome. The technology never stops its pace, and also, the EHR systems never stop becoming complex and far more integrated with other applications in health care, thereby increasing the potential of transforming the delivery of the health-care services. Recent developments include: In July 2022, Midwest Orthopaedic Center has reported that it will begin EHR implementation from health IT vendor eClinicalWorks which is expected to improve clinician workflow and efficacy., June 2022, Athenahealth, Inc., has released of athenaOne Voice Assistant Powered by Nuance, a mobile-embedded, voice-driven digital companion that streamlines information retrieval and enables hands-free completion of meaningful clinical tasks for healthcare providers using athenahealth's electronic health records (EHR) solution.. Key drivers for this market are: Rising Need For Integrated Healthcare System, Government Initiatives To Maintain Electronic Patient Health Records; Introduction of Big Data Analytics in Healthcare. Potential restraints include: Data Privacy Concerns, Lack Of Trained IT Personnel in Healthcare. Notable trends are: EHR Software is Expected to Dominate the Clinical EHR Systems Market.