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. 

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

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.

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.

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.

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 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.

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.

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In 2023, there were 5,177 hospital organizations operating in Russia, reflecting a slight increase from the previous year. This marks a decrease of 1,131 hospitals compared to 2010, highlighting a continuous decline from the peak of 6,343 hospitals in 2011. The number of hospitals has fluctuated over the years, with the lowest count recorded in 2021 at 5,072. Hospital bed density in Russia The density of hospital beds in Russia, measured as the number of beds per 10,000 population, saw a decrease in recent years and reached 77.5 in 2023. In fact, Russia has one of the highest hospital bed densities worldwide, ranking above other Central and Eastern European (CEE) countries. Russian health care in a global context In 2024, Russia ranked 14th among the countries with the best medical infrastructure and healthcare professionals (HCPs) with an index score exceeding that of Germany and Canada. Moreover, Russia ranked 14th in terms of medicine affordability and availability.

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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

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...

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

South Korea Number of Hospital was up 3.5% in 2019, compared to the previous year.

Access Healthcare Professionals data for European healthcare and hospital executives with Success.ai. Includes contact details, professional insights, and decision-maker profiles from 70M+ businesses. GDPR-compliant. Best price guaranteed.

*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

Household Medical Equipment Market Outlook

The global household medical equipment market size was valued at approximately USD 42 billion in 2023 and is anticipated to reach USD 76 billion by 2032, growing at a compound annual growth rate (CAGR) of around 6.8% between 2024 and 2032. This market growth is propelled by several factors, including the increasing prevalence of chronic diseases, the rising geriatric population, and the growing demand for home-based medical care. The advent of advanced technologies in medical equipment, combined with the heightened awareness and proactive management of health conditions, are also contributing significantly to market expansion.

The growing incidence of chronic diseases globally is a significant driver for the household medical equipment market. Conditions such as diabetes, cardiovascular diseases, and respiratory disorders are on the rise due to lifestyle changes, stress, and unhealthy diets. This surge in chronic health issues necessitates continuous monitoring and management, often requiring equipment like glucose meters, blood pressure monitors, and nebulizers to be available at home for patient convenience and effective disease management. Furthermore, the emergence of telemedicine and remote patient monitoring technologies supports the integration of home-based medical devices into everyday healthcare, enhancing patient care and adherence to treatment regimens.

The rising geriatric population is another crucial factor fueling the demand for household medical equipment. Older adults are more prone to chronic illnesses and require regular health monitoring, which can often be managed at home with the right equipment. The growing elderly population globally, particularly in regions like Europe and North America, is driving the market as these individuals seek to maintain independence while managing their health conditions efficiently. Additionally, healthcare systems are increasingly focusing on reducing hospital stays and encouraging home care to decrease costs, further propelling the demand for at-home medical equipment that allows for safe health monitoring outside of clinical settings.

Technological advancements in medical equipment have also played a pivotal role in the market's growth. Innovations in wearable health tech, mobile health applications, and smart medical devices have made it easier for patients to manage their health conditions from home. These advancements not only improve the accuracy and reliability of health monitoring but also provide tools for data tracking and sharing with healthcare providers, which can enhance treatment outcomes. The inclusion of features such as Bluetooth connectivity, cloud-based data storage, and user-friendly interfaces in devices like glucose meters and blood pressure monitors exemplify how technology is transforming household medical equipment into vital components of modern healthcare ecosystems.

The role of Hospital Equipment and Supplies is increasingly pivotal in the context of household medical equipment. As healthcare systems worldwide aim to reduce hospital stays and promote home care, the demand for hospital-grade equipment adapted for home use is on the rise. This includes advanced monitoring systems and therapeutic devices that were traditionally confined to clinical settings. The transition of such equipment to home environments not only enhances patient comfort but also ensures continuity of care. By providing reliable and sophisticated tools for health management, these supplies bridge the gap between hospital care and home-based healthcare, offering patients the best of both worlds. The integration of hospital equipment into household settings is a testament to the evolving landscape of healthcare, where quality and accessibility are paramount.

Regionally, the household medical equipment market is experiencing varied growth rates, with North America and Europe leading due to their advanced healthcare infrastructures and high adoption rates of health technology. However, significant growth is anticipated in the Asia Pacific region, driven by increasing healthcare investments, rising awareness of chronic disease management, and improving economic conditions. Latin America and the Middle East & Africa are also expected to witness steady growth as healthcare systems develop and consumer awareness increases regarding the benefits of at-home medical care.

Product Type Analysis

In the household medical equipment market,

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.

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.