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. 

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 health care outcomes, which takes into account health outcomes most likely to be responsive to health care, the U.S. was ranked last, while Australia took first place. Outcomes such as infant mortality or preventable mortality were included. This statistic present the health care outcomes rankings of the United States' health care system compared to ten other high-income countries in 2021.

In 2023, the health care system in Finland ranked first with a care index score of ****, 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.

This dataset shows the the world's best hospital in 2023 issued by the Newsweek and Statista.

According to a study from 2024, ******* medical infrastructure and professionals were ranked as the best in the world, scoring **** 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.

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

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Hyper target within and outside your desired markets with GDPR and CAN-SPAM compliant healthcare email lists that get integrated into your CRM and ESPs. Balance out the sales and marketing efforts by aligning goals using email lists from the healthcare industry. Build strong business relationships with potential clients through personalized campaigns. Call Infotanks Media for a free consultation. Explore new geographies and target markets with a focused approach using healthcare email lists. Align your sales teams and marketing teams through personalized email marketing campaigns to ensure they accomplish business goals together. Add value and grow revenue to take your business to the next level of success. Double up your business and revenue growth with email lists of healthcare professionals. Send segmented campaigns to monitor behaviors and understand the purchasing habits of your potential clients. Send follow up nurturing email marketing campaigns to attract your potential clients to become converted customers. Close deals sooner with detailed information of your prospects using the healthcare email list from Infotanks Media. Reach healthcare professionals on their preferred platform of communication with the email list of healthcare professionals. Identify, capture, explore, and grow in your target markets anywhere in the world with a fully verified, validated, and compliant email database of healthcare professionals. Move beyond the traditional approach and automate sales cycles with buying triggers sent through email marketing campaigns. Use the healthcare email list from Infotanks Media to engage with your targeted potential clients and get them to respond. Increase email marketing campaign response rate to convert better! Reach out to Infotanks Media to customize your healthcare email lists. Call today!"

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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   ...

World healthcare spending per capita for 2022 was $1,235, a 0.9% decline from 2021.

<ul style='margin-top:20px;'>

<li>World healthcare spending per capita for 2021 was <strong>$1,246</strong>, a <strong>7.57% increase</strong> from 2020.</li>
<li>World healthcare spending per capita for 2020 was <strong>$1,158</strong>, a <strong>7.05% increase</strong> from 2019.</li>
<li>World healthcare spending per capita for 2019 was <strong>$1,082</strong>, a <strong>1.61% increase</strong> from 2018.</li>
</ul>Current expenditures on health per capita in current US dollars. Estimates of current health expenditures include healthcare goods and services consumed during each year.

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.

BackgroundIt is increasingly apparent that access to healthcare without adequate quality of care is insufficient to improve population health outcomes. We assess whether the most commonly measured attribute of health facilities in low- and middle-income countries (LMICs)—the structural inputs to care—predicts the clinical quality of care provided to patients.Methods and findingsService Provision Assessments are nationally representative health facility surveys conducted by the Demographic and Health Survey Program with support from the US Agency for International Development. These surveys assess health system capacity in LMICs. We drew data from assessments conducted in 8 countries between 2007 and 2015: Haiti, Kenya, Malawi, Namibia, Rwanda, Senegal, Tanzania, and Uganda. The surveys included an audit of facility infrastructure and direct observation of family planning, antenatal care (ANC), sick-child care, and (in 2 countries) labor and delivery. To measure structural inputs, we constructed indices that measured World Health Organization-recommended amenities, equipment, and medications in each service. For clinical quality, we used data from direct observations of care to calculate providers’ adherence to evidence-based care guidelines. We assessed the correlation between these metrics and used spline models to test for the presence of a minimum input threshold associated with good clinical quality. Inclusion criteria were met by 32,531 observations of care in 4,354 facilities. Facilities demonstrated moderate levels of infrastructure, ranging from 0.63 of 1 in sick-child care to 0.75 of 1 for family planning on average. Adherence to evidence-based guidelines was low, with an average of 37% adherence in sick-child care, 46% in family planning, 60% in labor and delivery, and 61% in ANC. Correlation between infrastructure and evidence-based care was low (median 0.20, range from −0.03 for family planning in Senegal to 0.40 for ANC in Tanzania). Facilities with similar infrastructure scores delivered care of widely varying quality in each service. We did not detect a minimum level of infrastructure that was reliably associated with higher quality of care delivered in any service. These findings rely on cross-sectional data, preventing assessment of relationships between structural inputs and clinical quality over time; measurement error may attenuate the estimated associations.ConclusionInputs to care are poorly correlated with provision of evidence-based care in these 4 clinical services. Healthcare workers in well-equipped facilities often provided poor care and vice versa. While it is important to have strong infrastructure, it should not be used as a measure of quality. Insight into health system quality requires measurement of processes and outcomes of care.

According to a survey from *************, 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

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

Context

In order to begin correlating global data based around infection rates, from the WHO data in the UNCOVER: Covid-19 challenge, found here, to quality of healthcare in a region, data relaying the availability of health care in nations around the globe is necessary as a first step to this analysis. Out of a general desire to provide this data to the data science community, and out of a desire to find ways to learn about, prepare for in whatever way possible, and beat, the COVID-19 pandemic of 2020, I'm making this data-set public for others to use, share, and study with.

Content

The data presented in the file below cover the following information... 1 set of Strings --> The country names 1 set of Integers --> The years in which the data were recorded (2010-2014). 6 sets of floats --> 6 columns of floats record the total density of health centers and hospitals (including provincial and specialized) to every 100,000 people within the country... thus generalizing the country's access to health care, and maintenance/creation of the health infrastructure needed to support the population.

Acknowledgements

Complete thanks for this data-set goes to the World Health Organization and the Global Health Observatory. This data can be found on the GHO's site, specifically here. In terms of the licensing, in order to underscore that this data is not mine, as well as ensure all steps are taken to make one's proper rights clear (and grant thanks for the data once again), the general data usage license agreement for the data-set used can be found here.

Inspiration

It is sadly true that this data on its own is unlikely to present any major answers. When combined with other datasets however, this may yield answers as to what factors of a countries existence may indicate its ability to maintain a large health infrastructure. In fact, determining how a country's finances, natural resource list (as just ideas), etc. relate to a country's ability to sustain a decent health infrastructure would be an extremely interesting question to answer. I hope you may find the data helpful in your endeavors!

Disclaimer: This is my first ever published data-set on Kaggle. While I've done my best to ensure it's fairly descriptive for any potential visitors, please do feel free to leave any comments you may have in the discussions section! I'm always open to finding ways to improve.

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

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

IntroductionThis study is part of the U.S. Food and Drug Administration (FDA)’s Biologics Effectiveness and Safety (BEST) initiative, which aims to improve the FDA’s postmarket surveillance capabilities by using real-world data (RWD). In the United States, using RWD for postmarket surveillance has been hindered by the inability to exchange clinical data between healthcare providers and public health organizations in an interoperable format. However, the Office of the National Coordinator for Health Information Technology (ONC) has recently enacted regulation requiring all healthcare providers to support seamless access, exchange, and use of electronic health information through the interoperable HL7 Fast Healthcare Interoperability Resources (FHIR) standard. To leverage the recent ONC changes, BEST designed a pilot platform to query and receive the clinical information necessary to analyze suspected AEs. This study assessed the feasibility of using the RWD received through the data exchange of FHIR resources to study post-vaccination AE cases by evaluating the data volume, query response time, and data quality.Materials and methodsThe study used RWD from 283 post-vaccination AE cases, which were received through the platform. We used descriptive statistics to report results and apply 322 data quality tests based on a data quality framework for EHR.ResultsThe volume analysis indicated the average clinical resources for a post-vaccination AE case was 983.9 for the median partner. The query response time analysis indicated that cases could be received by the platform at a median of 3 min and 30 s. The quality analysis indicated that most of the data elements and conformance requirements useful for postmarket surveillance were met.DiscussionThis study describes the platform’s data volume, data query response time, and data quality results from the queried postvaccination adverse event cases and identified updates to current standards to close data quality gaps.

This statistic shows the 2024 ranking of the global top 10 health care equipment and services companies based on revenue. The values were taken from the Financial Times equity screener database. U.S. health care provider Thermo Fisher Scientific was ranked first, with a total revenue of almost **** billion U.S. dollars.

Location-based Services in Healthcare Market Outlook

The global location-based services in healthcare market has witnessed significant growth and transformation over recent years, with an estimated market size of USD 3.5 billion in 2023. This market is projected to expand at a robust compound annual growth rate (CAGR) of 28.5%, reaching an impressive valuation of approximately USD 17.5 billion by 2032. Factors driving this growth include the increasing adoption of digital healthcare solutions, the growing need for efficient patient management systems, and the integration of advanced technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) in healthcare settings.

One of the primary growth factors contributing to the booming location-based services market in healthcare is the rising demand for improved patient experience and operational efficiency. As healthcare facilities strive to enhance patient care and streamline operations, location-based services have emerged as a vital tool. These services offer real-time data and location tracking, allowing for better resource allocation and minimizing wait times, ultimately improving patient satisfaction. Additionally, the increasing prevalence of chronic diseases necessitates efficient patient management systems, further propelling the demand for location-based services in healthcare.

Technological advancements and the integration of innovative technologies play a crucial role in the expansion of the location-based services market in healthcare. The adoption of IoT, AI, and cloud computing has enabled healthcare providers to leverage location-based services to offer personalized care and optimize resource utilization. For instance, IoT-enabled devices can track patients and equipment in real-time, while AI algorithms provide insights for better decision-making processes. Moreover, the growing popularity of telemedicine and remote patient monitoring solutions is further boosting the adoption of location-based services, as they facilitate seamless communication and coordination between patients and healthcare providers.

The increasing focus on patient safety and regulatory compliance is another significant driver of the location-based services market in healthcare. As healthcare facilities are held to stringent safety standards, location-based services help ensure compliance by enabling real-time monitoring and tracking of patients, staff, and medical equipment. This aids in reducing the risk of medical errors and enhancing the overall safety of healthcare environments. Additionally, governments and regulatory bodies worldwide are promoting the adoption of digital healthcare technologies, providing a favorable environment for the growth of location-based services in healthcare.

Hospital Real time Location Systems (RTLS) are increasingly being adopted by healthcare facilities to enhance operational efficiency and patient care. These systems provide precise tracking of patients, staff, and equipment within the hospital premises, enabling real-time data collection and analysis. By leveraging RTLS, hospitals can optimize resource allocation, reduce wait times, and improve patient flow, ultimately leading to enhanced patient satisfaction. Furthermore, the integration of RTLS with other digital healthcare solutions such as Electronic Health Records (EHR) and telemedicine platforms facilitates seamless communication and coordination across various departments. This technological advancement not only supports better decision-making processes but also ensures compliance with regulatory standards, thereby contributing to safer healthcare environments.

Regionally, North America is expected to dominate the location-based services market in healthcare, driven by factors such as advanced healthcare infrastructure, high digital literacy, and significant investment in healthcare IT solutions. In contrast, the Asia Pacific region is projected to witness the fastest growth during the forecast period, owing to the rapidly expanding healthcare sector, increasing government initiatives to promote digital healthcare, and the rising adoption of mobile health technologies. Europe, Latin America, and the Middle East & Africa will also contribute to the market's growth, albeit at a slower pace compared to North America and Asia Pacific.

Component Analysis

The location-based services in healthcare market are segmented into three primary components: hardware, software, and serv

The average for 2021 based on 10 countries was 46.11 index points. The highest value was in Singapore: 130.04 index points and the lowest value was in Laos: 21.7 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.