The average number of hospital beds available per 1,000 people in the United States was forecast to continuously decrease between 2024 and 2029 by in total 0.1 beds (-3.7 percent). After the eighth consecutive decreasing year, the number of available beds per 1,000 people is estimated to reach 2.63 beds and therefore a new minimum in 2029. Depicted is the number of hospital beds per capita in the country or region at hand. As defined by World Bank this includes inpatient beds in general, specialized, public and private hospitals as well as rehabilitation centers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of hospital beds available per 1,000 people in countries like Canada and Mexico.

Big Data Analytics In Healthcare Market size is estimated at USD 37.22 Billion in 2024 and is projected to reach USD 74.82 Billion by 2032, growing at a CAGR of 9.12% from 2026 to 2032.

Big Data Analytics In Healthcare Market: Definition/ Overview

Big Data Analytics in Healthcare, often referred to as health analytics, is the process of collecting, analyzing, and interpreting large volumes of complex health-related data to derive meaningful insights that can enhance healthcare delivery and decision-making. This field encompasses various data types, including electronic health records (EHRs), genomic data, and real-time patient information, allowing healthcare providers to identify patterns, predict outcomes, and improve patient care.

United States US: Hospital Beds: per 1000 People data was reported at 2.900 Number in 2011. This records a decrease from the previous number of 3.000 Number for 2010. United States US: Hospital Beds: per 1000 People data is updated yearly, averaging 5.000 Number from Dec 1960 (Median) to 2011, with 43 observations. The data reached an all-time high of 9.200 Number in 1960 and a record low of 2.900 Number in 2011. United States US: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;

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Hospital Beds Market Size 2025-2029

The hospital beds market size is forecast to increase by USD 2.69 billion, at a CAGR of 9.9% between 2024 and 2029.

The market is experiencing significant growth, driven by the rise in infectious diseases and the increasing number of medical emergencies. These factors have led to a heightened demand for advanced hospital beds that cater to the specific needs of patients. For instance, bariatric hospital beds are gaining popularity due to the increasing prevalence of obesity and related health issues. Similarly, intensive care unit (ICU) beds are in high demand due to the growing number of critical patients requiring constant monitoring and care. However, the high cost of automated hospital beds poses a significant challenge for market growth. These advanced beds come with advanced features such as adjustable heights, electric mattresses, and integrated technology for patient monitoring.
While these features offer numerous benefits, they also increase the cost of production and, subsequently, the price of the beds. This challenge may limit the adoption of automated hospital beds in some healthcare facilities, particularly in developing countries and low-income regions. Another challenge is the shortage of hospital beds, especially during outbreaks of infectious diseases. For instance, during the COVID-19 pandemic, many hospitals faced a shortage of beds, leading to overcrowding and an increased risk of infection transmission. To address this challenge, some companies have started producing modular and portable hospital beds that can be easily transported and set up in temporary hospitals or quarantine facilities. The demand for home healthcare services is also driving the market, as patients prefer to receive care

What will be the Size of the Hospital Beds Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market encompasses various product offerings, including those with remote bed control, chronic care support, and smart bed technology. Chronic care patients benefit from these advanced beds, which enhance healthcare efficiency and patient comfort. Recyclable materials and corrosion resistance are essential considerations for bed manufacturers, aligning with the industry's sustainability and cost optimization efforts. Data analytics plays a crucial role in hospital bed procurement, enabling supply chain management and clinical outcomes assessment. Lateral rotation and automatic bed turning features cater to acute care and long-term care settings, ensuring patient safety and improving sleep quality. Rental services offer flexibility for healthcare facilities, allowing them to adapt to changing patient needs while minimizing capital expenditures.
Wireless connectivity integration enables patient monitoring and data sharing, enhancing the overall quality of care. Patient safety remains a top priority, with material durability and clinical outcomes being key factors in bed selection. Smart bed technology, including automatic bed turning and home healthcare integration, further improves patient care and satisfaction. In the realm of hospital bed procurement, cost optimization and quality control are essential elements. Lease agreements provide an alternative financing option, enabling healthcare providers to access advanced bed technology while managing budgets effectively. Regardless of the specific market segment, the hospital beds industry continues to evolve, integrating the latest technology and trends to meet the unique needs of healthcare facilities and patients.

How is this Hospital Beds Industry segmented?

The hospital beds industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Manual beds
  Semi-automated beds
  Automated beds


Application

  Intensive care
  Acute care
  Home care


End-user

  Hospitals
  Home healthcare
  Elderly care facilities
  Ambulatory surgical centers


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

The manual beds segment is estimated to witness significant growth during the forecast period. The market encompasses various product offerings, including manual and electric beds, bariatric beds, geriatric beds, ICU beds, operating room beds, and recovery room beds. Compliance with regulatory standards is a crucial factor in this market, ensuring easy cleaning, bedside rails, and fall prevention. Manual beds, the largest segment, remain po

Problem Statement

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Hospitals and healthcare providers faced challenges in ensuring continuous monitoring of patient vitals, especially for high-risk patients. Traditional monitoring methods often lacked real-time data processing and timely alerts, leading to delayed responses and increased hospital readmissions. The healthcare provider needed a solution to monitor patient health continuously and deliver actionable insights for improved care.

Challenge

Implementing an advanced patient monitoring system involved overcoming several challenges:

Collecting and analyzing real-time data from multiple IoT-enabled medical devices.

Ensuring accurate health insights while minimizing false alarms.

Integrating the system seamlessly with hospital workflows and electronic health records (EHR).

Solution Provided

A comprehensive patient monitoring system was developed using IoT-enabled medical devices and AI-based monitoring systems. The solution was designed to:

Continuously collect patient vital data such as heart rate, blood pressure, oxygen levels, and temperature.

Analyze data in real-time to detect anomalies and provide early warnings for potential health issues.

Send alerts to healthcare professionals and caregivers for timely interventions.

Development Steps

Data Collection

Deployed IoT-enabled devices such as wearable monitors, smart sensors, and bedside equipment to collect patient data continuously.

Preprocessing

Cleaned and standardized data streams to ensure accurate analysis and integration with hospital systems.

AI Model Development

Built machine learning models to analyze vital trends and detect abnormalities in real-time

Validation

Tested the system in controlled environments to ensure accuracy and reliability in detecting health issues.

Deployment

Implemented the solution in hospitals and care facilities, integrating it with EHR systems and alert mechanisms for seamless operation.

Continuous Monitoring & Improvement

Established a feedback loop to refine models and algorithms based on real-world data and healthcare provider feedback.

Results

Enhanced Patient Care

Real-time monitoring and proactive alerts enabled healthcare professionals to provide timely interventions, improving patient outcomes.

Early Detection of Health Issues

The system detected potential health complications early, reducing the severity of conditions and preventing critical events.

Reduced Hospital Readmissions

Continuous monitoring helped manage patient health effectively, leading to a significant decrease in readmission rates.

Improved Operational Efficiency

Automation and real-time insights reduced the burden on healthcare staff, allowing them to focus on critical cases.

Scalable Solution

The system adapted seamlessly to various healthcare settings, including hospitals, clinics, and home care environments.

In 2023, there were nearly 11 thousand hospitals in Columbia, the highest number among OECD countries, followed by 8,156 hospitals in Japan. If only general hospitals were counted (excluding mental health hospitals and other specialized hospitals), Japan had the most number of general hospitals among OECD countries worldwide. Most countries reported hospitals numbers similar to or lower than the previous year. Meanwhile, Mexico, South Korea and the Netherlands all reported more hospitals than last year.

Global Hospital Electronic Health Records Market size was $20.16 billion in 2024 and is grow to $39.65 billion by 2034, a CAGR of 7.00% by 2025 and 2034.

[215+ Pages Report] The global Private Hospital market was worth USD 820 Billion in 2021 and at a CAGR of 12.5% is expected to reach a value of USD 2000 Billion by 2028.

The problem of transforming Real World Data into Real World Evidence is becoming increasingly important in the frameworks of Digital Health and Personalized Medicine, especially with the availability of modern algorithms of Artificial Intelligence high computing power, and large storage facilities.Even where Real World Data are well maintained in a hospital data warehouse and are made available for research purposes, many aspects need to be addressed to build an effective architecture enabling researchers to extract knowledge from data.We describe the first year of activity at Gemelli Generator RWD, the challenges we faced and the solutions we put in place to build a Real World Data laboratory at the service of patients and health researchers. Three classes of services are available today: retrospective analysis of existing patient data for descriptive and clustering purposes; automation of knowledge extraction, ranging from text mining, patient selection for trials, to generation of new research hypotheses; and finally the creation of Decision Support Systems, with the integration of data from the hospital data warehouse, apps, and Internet of Things.

Digital Hospital Market Outlook

The global digital hospital market size was valued at approximately USD 34.7 billion in 2023 and is projected to reach around USD 89.4 billion by 2032, growing at a CAGR of 11.3% during the forecast period. This remarkable growth is driven by the increasing integration of advanced digital technologies in healthcare settings, aiming to enhance operational efficiency, patient care, and overall hospital management.

One of the primary growth factors for this market is the rising demand for cost-effective healthcare solutions. As global healthcare costs continue to rise, hospitals and clinics are increasingly turning to digital technologies to streamline operations and reduce expenses. The integration of electronic health records (EHRs), telemedicine, and other digital tools not only helps in cutting down costs but also significantly improves the quality of patient care. Additionally, the growing emphasis on patient-centric care models is encouraging healthcare providers to adopt advanced digital solutions that can offer better patient engagement and satisfaction.

Technological advancements in the healthcare sector are another driving force for the digital hospital market. Innovations such as artificial intelligence (AI), machine learning, big data analytics, and IoT are transforming the way hospitals operate. AI and machine learning algorithms, for instance, are being utilized for predictive analytics, enabling healthcare providers to anticipate patient needs and manage resources more efficiently. Moreover, IoT devices are enhancing patient monitoring and care by providing real-time data and enabling remote patient management. These technological advancements are playing a crucial role in propelling the market forward.

The increasing prevalence of chronic diseases and the growing aging population are also significant contributors to the market's growth. Chronic diseases such as diabetes, heart disease, and cancer require continuous monitoring and management, which can be efficiently handled through digital hospital solutions. The aging population, particularly in regions like North America and Europe, is leading to a higher demand for healthcare services. Digital hospitals, with their ability to offer efficient and high-quality care, are well-positioned to meet these rising demands.

Regionally, North America holds the largest share of the digital hospital market, followed by Europe and the Asia Pacific. The high adoption rate of advanced healthcare technologies and the presence of a well-established healthcare infrastructure are major factors driving the market in North America. In contrast, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. Rapidly developing healthcare infrastructure, increasing government initiatives, and the growing adoption of digital technologies in countries like China and India are contributing to the market's expansion in this region.

Component Analysis

The component segment of the digital hospital market is categorized into hardware, software, and services. Each of these components plays a vital role in the functioning of a digital hospital. Hardware components include medical devices, computers, servers, and other IT infrastructure that form the backbone of digital hospital operations. The demand for advanced medical devices and IT infrastructure is continually rising due to the need for efficient data management and patient care. High-end servers and storage solutions are particularly crucial for handling large volumes of data generated by digital hospitals.

Software components, on the other hand, encompass electronic health records (EHRs), hospital management systems (HMS), telemedicine software, and other applications that aid in the seamless functioning of hospitals. EHRs are widely adopted due to their ability to store and manage patient data efficiently, thereby improving clinical decision-making. Hospital management systems simplify administrative tasks, while telemedicine software facilitates remote consultations and monitoring, enhancing patient convenience and care quality.

Services include consulting, training, implementation, and maintenance services that ensure the smooth operation of digital hospital systems. Consulting services help healthcare organizations identify and implement the most suitable digital solutions, while training services ensure that hospital staff are well-versed in using these technologies. Implementation services cover the actual deployment of digital systems, and maintenance

IntroductionIn confronting the sudden COVID-19 epidemic, China and other countries have been under great pressure to block virus transmission and reduce fatalities. Converting large-scale public venues into makeshift hospitals is a popular response. This addresses the outbreak and can maintain smooth operation of a country or region's healthcare system during a pandemic. However, large makeshift hospitals, such as the Shanghai New International Expo Center (SNIEC) makeshift hospital, which was one of the largest makeshift hospitals in the world, face two major problems: Effective and precise transfer of patients and heterogeneity of the medical care teams.MethodsTo solve these problems, this study presents the medical practices of the SNIEC makeshift hospital in Shanghai, China. The experiences include constructing two groups, developing a medical management protocol, implementing a multi-dimensional management mode to screen patients, transferring them effectively, and achieving homogeneous quality of medical care. To evaluate the medical practice performance of the SNIEC makeshift hospital, 41,941 infected patients were retrospectively reviewed from March 31 to May 23, 2022. Multivariate logistic regression method and a tree-augmented naive (TAN) Bayesian network mode were used.ResultsWe identified that the three most important variables were chronic disease, age, and type of cabin, with importance values of 0.63, 0.15, and 0.11, respectively. The constructed TAN Bayesian network model had good predictive values; the overall correct rates of the model-training dataset partition and test dataset partition were 99.19 and 99.05%, respectively, and the respective values for the area under the receiver operating characteristic curve were 0.939 and 0.957.ConclusionThe medical practice in the SNIEC makeshift hospital was implemented well, had good medical care performance, and could be copied worldwide as a practical intervention to fight the epidemic in China and other developing countries.

The Agency for Healthcare Research and Quality (AHRQ, formerly the Agency for Health Care Policy and Research) maintains the Healthcare Cost and Utilization Project (HCUP). HCUP is a Federal-State-industry partnership to build a standardized, multi-State health data system. AHRQ has taken the lead in developing HCUP databases, Web-based products, and software tools and making them available for restricted access public release.

HCUP comprises a family of administrative longitudinal databases-including State-specific hospital-discharge databases and a national sample of discharges from community hospitals.

HCUP databases contain patient-level information compiled in a uniform format with privacy protections in place. * The Nationwide Inpatient Sample (NIS) includes inpatient data from a national sample (about 20% of U.S. community hospitals) including roughly 7 million discharges from about 1,000 hospitals. It is the largest all-payer inpatient database in the U.S.; data are now available from 1988-1998. The NIS is ideal for developing national estimates, for analyzing national trends, and for research that requires a large sample size. * The State Inpatient Databases (SID) cover individual data sets in community hospitals from 22 participating States that represent more than half of all U.S. hospital discharges. The data have been translated into a uniform format to facilitate cross-State comparisons. The SID are particularly well-suited for policy inquiries unique to a specific State, studies comparing two or more States, market area research, and small area variation analyses.

• The State Ambulatory Surgery Databases (SASD) contain data from ambulatory care encounters in 9 participating States. The SASD capture surgeries performed on the same day in which patients are admitted and released form hospital- affiliated ambulatory surgery sites. The SASD are well suited for research that requires complete enumeration of hospital-based ambulatory surgeries within market areas and States.

• The project's newest restricted access public release is the Kids' Inpatient Database (KID), containing hospital inpatient stays for children 18 years of age and younger. Researchers and policymakers can use the KID to identify, track, and analyze national trends in health care utilization, access, charges, quality, and outcomes. The KID is the only all-payer inpatient care database for children in the U.S. It contains data from approximately 1.9 million hospital discharges for children. The data are drawn from 22 HCUP 1997 State Inpatient Databases and include a sample of pediatric general discharges from over 2,500 U.S. community hospitals (defined as short-term, non-Federal, general and specialty hospitals, excluding hospital units of other institutions). A key strength of the KID is that the large sample size enables analyses of both common and rare conditions; uncommon treatments, and organ transplantation. The KID also includes charge information on all patients, regardless of payer, including children covered by Medicaid, private insurance, and the uninsured.

  HCUP also contains powerful, user-friendly software that can be used with both HCUP data and with other administrative databases. The AHRQ has developed three powerful software tools Quality Indicators (QIs), Clinical Classification Software (CCS) and HCUPnet. See more on the agency's webpages.

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

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Each list is updated with USPS’s 48-month NCOA (National Change of Address) data before shipment, ensuring address accuracy. All records are 100% DPV (Delivery Point Validation) coded, and phone numbers are appended upon request, with DNC (Do Not Call) scrubbing performed within the last 30 days to guarantee top-tier data hygiene and compliance.

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Global Big Data Healthcare market size is expected to reach $76.1 billion by 2029 at 22.3%, rising adoption of healthcare information systems drives big data healthcare market

Hospital EMR Systems Market Outlook

In 2023, the global hospital EMR systems market size is projected to be approximately USD 15.3 billion, with a compound annual growth rate (CAGR) of 7.6% expected to push it to around USD 29.1 billion by 2032. This growth is driven by several factors, including the increasing adoption of electronic medical records (EMR) systems in hospitals, advancements in healthcare IT infrastructure, and the rising need for efficient patient data management.

The primary growth factor for the hospital EMR systems market is the increasing digitization of healthcare services. Governments and healthcare organizations are increasingly focusing on the implementation of EMR systems to improve the quality of care and patient safety. This is further fueled by regulatory mandates and incentives such as the Health Information Technology for Economic and Clinical Health (HITECH) Act in the United States, which promotes the meaningful use of EMR systems. Additionally, the growing awareness of the benefits of EMR systems, such as improved clinical outcomes, enhanced data accuracy, and streamlined workflows, is encouraging more hospitals to adopt these systems.

Another significant growth driver is the continuous advancement in technology, particularly in cloud computing and data analytics. The integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) into EMR systems is enhancing their capabilities, enabling predictive analytics, and improving decision-making processes for healthcare providers. Furthermore, the increasing use of mobile health applications and telemedicine services is generating a higher demand for EMR systems that can seamlessly integrate with these technologies, providing healthcare professionals with real-time access to patient data, regardless of location.

The rising prevalence of chronic diseases and the increasing number of hospital admissions are also contributing to the growth of the EMR systems market. As the global population ages and the burden of chronic diseases such as diabetes, cardiovascular diseases, and cancer continues to rise, the need for efficient patient data management systems becomes more critical. EMR systems enable healthcare providers to maintain comprehensive and accurate patient records, facilitating better disease management and personalized care plans. Additionally, the COVID-19 pandemic has highlighted the importance of robust healthcare IT infrastructure, further accelerating the adoption of EMR systems in hospitals worldwide.

Electronic Medical Records Systems have become an integral part of modern healthcare, transforming the way patient data is managed and utilized. These systems provide a digital platform for storing comprehensive patient information, including medical history, diagnoses, medications, treatment plans, immunization dates, allergies, radiology images, and laboratory test results. The shift from paper-based records to electronic systems has significantly improved the efficiency and accuracy of data management in hospitals. By enabling quick access to patient information, EMR systems enhance the quality of care, reduce medical errors, and facilitate better communication among healthcare providers. Furthermore, they support healthcare professionals in making informed decisions by providing real-time data and analytics, ultimately leading to improved patient outcomes.

Regionally, North America is expected to dominate the hospital EMR systems market, followed by Europe and the Asia Pacific. The high adoption rate of advanced healthcare technologies, favorable government initiatives, and the presence of a large number of key market players in North America are major factors contributing to its leading position. Europe is also witnessing significant growth due to increasing government funding for healthcare IT projects and the growing emphasis on patient-centric care. The Asia Pacific region is projected to experience the highest growth rate during the forecast period, driven by the rising healthcare expenditure, improving healthcare infrastructure, and increasing awareness about the benefits of EMR systems in countries like China and India.

Component Analysis

The hospital EMR systems market is segmented by component into software, hardware, and services. The software segment holds the largest share of the market and is expected to continue its dominance during the forecast period. This is primarily due to the increa

As of 2016, the top U.S. hospital for child birth is Northside Hospital in Atlanta, Georgia. All hospitals are required, by law, to report and provide access to birth records through the federal National Vital Statistics system. The U.S. system of reporting births (and deaths) is funded by individual States as well as through the National Center for Health Statistics.

Georgia birth data

Georgia is one of the most populous states in the United States. The metropolitan area with the highest birth rate in the U.S. was Hinesville, Georgia. Hinesville is located in the south eastern section of the state of Georgia. Despite having the hospital that delivers the most babies in the U.S., Georgia does not have one of highest birth rates in the U.S. As of 2017, Utah had the highest birth rate in the United States.

Birth-related developments

The number of U.S. births has remained relatively stable since 1990. Despite having a relatively stable birth rate, the number bassinet available in U.S. hospitals is on the decline. Birth rates, however, show variation among different U.S. populations. Mothers of American Indian or Alaska Native descent tend to have higher birth rates than other ethnicities.

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

About OPCRD

Optimum Patient Care Research Database (OPCRD) is a real-world, longitudinal, research database that provides anonymised data to support scientific, medical, public health and exploratory research. OPCRD is established, funded and maintained by Optimum Patient Care Limited (OPC) – which is a not-for-profit social enterprise that has been providing quality improvement programmes and research support services to general practices across the UK since 2005.

Key Features of OPCRD

OPCRD has been purposefully designed to facilitate real-world data collection and address the growing demand for observational and pragmatic medical research, both in the UK and internationally. Data held in OPCRD is representative of routine clinical care and thus enables the study of ‘real-world’ effectiveness and health care utilisation patterns for chronic health conditions.

OPCRD unique qualities which set it apart from other research data resources: • De-identified electronic medical records of more than 24.9 million patients • OPCRD covers all major UK primary care clinical systems • OPCRD covers approximately 35% of the UK population • One of the biggest primary care research networks in the world, with over 1,175 practices • Linked patient reported outcomes for over 68,000 patients including Covid-19 patient reported data • Linkage to secondary care data sources including Hospital Episode Statistics (HES)

Data Available in OPCRD

OPCRD has received data contributions from over 1,175 practices and currently holds de-identified research ready data for over 24.9 million patients or data subjects. This includes longitudinal primary care patient data and any data relevant to the management of patients in primary care, and thus covers all conditions. The data is derived from both electronic health records (EHR) data and patient reported data from patient questionnaires delivered as part of quality improvement. OPCRD currently holds over 68,000 patient reported questionnaire data on Covid-19, asthma, COPD and rare diseases.

Approvals and Governance

OPCRD has NHS research ethics committee (REC) approval to provide anonymised data for scientific and medical research since 2010, with its most recent approval in 2020 (NHS HRA REC ref: 20/EM/0148). OPCRD is governed by the Anonymised Data Ethics and Protocols Transparency committee (ADEPT). All research conducted using anonymised data from OPCRD must gain prior approval from ADEPT. Proceeds from OPCRD data access fees and detailed feasibility assessments are re-invested into OPC services for the continued free provision of patient quality improvement programmes for contributing practices and patients.

For more information on OPCRD please visit: https://opcrd.co.uk/