During the financial year 2022/23, the busiest hospital provider in England was the University Hospitals Birmingham Foundation Trust with over 333 thousand admissions. This trust encompasses four hospitals in the Birmingham area, one of the largest urban areas in England. The second busiest trust this year was the Manchester University NHS Foundation Trust with approximately 298 thousand admissions.

Accident and emergency admissions

From April to June 2023, there were around 6.5 million accident and emergency (A&E) attendees (including at A&E departments not in hospitals) in England. After the drop in A&E attendances during the COVID-pandemic, numbers have risen again to previous levels, with a trend towards an increasing number of individuals seeking emergency care. Over three percent of A&E attendees in England in 2022/23 were first diagnosed with a sprained ankle, knee, wrist, or foot, and over four percent were diagnosed with a respiratory infection. Furthermore, 7.4 percent were found to have ‘no abnormality detected’ which could be detrimental to a service that is already stretched.

Waiting too long

Over the last few years in the A&E department, the NHS has been falling behind the target that 95 percent of patients should be seen within four hours of arrival. The last time this target was reached was back in July 2015. Not just the A&E department, but other services also require lengthy waits. It is no wonder that the majority of respondents surveyed were fairly or very dissatisfied with the length of wait for many aspects of NHS care. Moreover, in general, levels of satisfaction with the way NHS runs is at an all time low.

London was the city in the United Kingdom with the highest costs for constructing a general hospital in 2024. Meanwhile, among cities included in this selection, Leeds was the cheapest one to build that kind of structure. The expenses of such a construction in London were over 500 British pounds higher than in Glasgow. The capital of the UK is the most expensive area for public building construction. Hospital bed numbers still in decline The number of hospital beds in the UK has been declining since 2000. Between 2000 and 2020, figures decreased from 240,144 to 162,723 number of beds. The reduction in hospital beds is, among other reasons, attributed to technical improvements in surgery rooms, patients with mental health problems being treated in different settings, and most importantly, cuts to NHS funding. However, the number of beds increased slightly again in 2021 and 2022. Increased healthcare spend Despite past funding cuts and declining availability of hospital beds, healthcare spending has significantly increased in the past twenty years. In 2022, expenditure reached a peak of nearly 282 billion British pounds, whereas in 2000, this figure amounted to 79 billion British pounds. The value of healthcare expenditure as a share of GDP also increased significantly in the past years.

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Electrical Hospital Beds Market Size 2024-2028

The electrical hospital beds market size is forecast to increase by USD 1.01 billion at a CAGR of 6.35% between 2023 and 2028.

The market is experiencing significant growth, driven by several key factors. The increasing number of hospital beds globally is a major growth driver, as electrical hospital beds offer advanced features and improved patient care compared to traditional beds. Additionally, the growth of medical tourism is fueling market expansion, as these beds are often preferred for their advanced functionality and comfort. Hospital beds, as hospital accessories and hospital supplies, play a crucial role In the overall hospital bed market, which includes rehabilitation equipment and medical furniture. However, the high cost of electrical hospital beds remains a challenge for the market, limiting their adoption in some healthcare facilities. Despite this, the market is expected to continue growing due to the increasing demand for advanced patient care and the ongoing development of more cost-effective solutions.

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

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The market encompasses a range of medical beds designed for patient care in healthcare facilities. These beds, which include Adjustable Beds and Patient Care Beds, are essential Hospital Room Equipment that prioritize Patient Comfort and Safety. Electric Beds, a type of Medical Furniture, offer various Hospital Bed Features and Functions, such as adjustable height, angle, and backrest, making them ideal for Intensive Care Units (ICUs) and Rehabilitation Centers. 
Patient Mobility is another crucial aspect of these beds, enabling easy transfer of patients and reducing the risk of injury. Medical Technology advances continue to influence the market, with innovations in Bedside Assistance, Patient Recovery, and Hospital Supplies enhancing patient care. The market is driven by the growing demand for advanced patient care solutions and the increasing population of elderly individuals requiring long-term care.

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

The industry 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

  Specialty electrical hospital beds
  Standard electrical hospital beds


Type

  Semi-electric
  Fully electric


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  Asia

    China


  Rest of World (ROW)

By Product Insights

The specialty electrical hospital beds segment is estimated to witness significant growth during the forecast period. The market encompasses a range of Medical beds designed for patient care in healthcare facilities. These beds, which include Adjustable beds, Patient comfort beds, Electric beds, Rehabilitation beds, ICU beds, Nursing beds, and Elderly care beds, are integral components of Hospital infrastructure. They offer Bedside assistance, enhancing patient mobility and safety, while ensuring optimal patient comfort. Medical devices and Hospital supplies, such as Medical furniture, Rehabilitation equipment, and Patient support systems, are often integrated into these beds. Hospital bed design features Electric technology, allowing for customizable functions and specifications tailored to Patient recovery needs. Hospital bed functions include adjustable height, tilt, and angle options, ensuring Patient safety and comfort during medical procedures and rehabilitation.

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The specialty electrical hospital beds segment was valued at USD 1.23 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 34% 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. The market encompasses a range of Medical beds designed for patient care in healthcare facilities. These beds, which include Adjustable beds, Patient care beds, Electric beds, Rehabilitation beds, ICU beds, Nursing beds, and Elderly care beds, are integral to the Hospital infrastructure. They offer Bedside assistance, enhancing Patient comfort and safety. Medical devices integrated into these beds, such as patient support systems and medical appliances, facilitate Patient mobility and recovery.

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Hospital accessories and supplies, including Hospital bed design, features, functions, and specifications, contribute to the effective delivery of Healthcare services. Rehabilitati

Background The Society for Acute Medicine (SAM) Benchmark Audit (SAMBA) is a national benchmark audit of acute medical care. The aim of SAMBA19 is to describe the severity of illness of acute medical patients presenting to Acute Medicine within UK hospitals, speed of assessment, pathway and progress seven days after admission and to provide a comparison for each participating unit with the national average (or ‘benchmark’). On average >150 hospitals take part in this audit per year. SAMBA19 summer audit measured adherence to some of the standards for acute medical care. Acute Medical Units work 24-hours per day and 365 days a year. They are the single largest point of entry for acute hospital admissions and most patients are at their sickest within the first 24-hours of admission. This dataset includes • Total number of patients assessed by acute medicine across ED, AMU and Ambulatory Care. • Medical and nursing levels • Severity of illness • Timeliness in processes of care • Clinical outcomes 7 days after admission PIONEER geography The West Midlands (WM) has a population of 5.9million & includes a diverse ethnic, socio-economic mix. There is a higher than average % of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. WM has a high prevalence of COPD, reflecting the high rates of smoking and industrial exposure. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. This is the SAMBA dataset from 4 NHS hospitals. EHR University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. Scope: These data come from Queen Elizabeth Hospitals Birmingham, Good Hope Hospital, Solihull Hospital and Heartlands Hospital. All admissions in a pre-defined 24-hour period, the severity of illness, patient demographics, co-morbidity, acuity scores, serial, structured data pertaining to care process (timings, staff grades, specialty review, wards) all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.
Available supplementary data: More extensive data including granular serial physiology, bloods, conditions, interventions, treatments. Ambulance, 111, 999 data, synthetic data. Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services

In 2022, there were an estimated 2,001 hospitals in the United Kingdom. The number of hospitals in the UK had been declining prior to 2015, standing at 1,568 in 2014, before slightly rising again in the subsequent years.

Healthcare indicators

Expenditure on health in the UK amounted to 11.3 percent of the GDP in 2022. This proportion has been increasing since 2000, with 2020 and 201 being outliers. The pressure on general practices has been increasing in the UK in the last ten years. In 2016, there were 7.8 thousand patients to each GP practice on average in the NHS England. By 2023 it came to ten thousand patients to a practice.

Opinion of healthcare in the country

The quality of British healthcare is still generally regarded as good by the majority. In a survey of nine European countries, 58 percent of British respondents rated the quality of their accessible healthcare as good, while only 14 percent regarded it as poor. This was the fifth place among countries surveyed, down from its top spot in 2018, when 73 percent of the public gave good rating. Similarly, 58 percent of Brits surveyed trusted the treatment offered, compared to only 18 percent who did not.

This report shows monthly numbers of NHS Hospital and Community Health Services (HCHS) staff working in NHS Trusts and other core organisations in England (excluding primary care staff). Data are available as headcount and full-time equivalents and for all months from 30 September 2009 onwards. These data are a summary of the validated data extracted from the NHS HR and Payroll system. Additional statistics on staff in NHS Trusts and other core organisations and information for NHS Support Organisations and Central Bodies are published each: September (showing June statistics) December/January (showing September statistics) March (showing December statistics) June (showing March statistics) Quarterly NHS Staff Earnings, monthly NHS Staff Sickness Absence reports, and data relating to the General Practice workforce and the Independent Healthcare Provider workforce are also available via the Related Links below. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating Monthly HCHS Workforce as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678.

OMOP dataset: Hospital COVID patients: severity, acuity, therapies, outcomes Dataset number 2.0

Coronavirus disease 2019 (COVID-19) was identified in January 2020. Currently, there have been more than 6 million cases & more than 1.5 million deaths worldwide. Some individuals experience severe manifestations of infection, including viral pneumonia, adult respiratory distress syndrome (ARDS) & death. There is a pressing need for tools to stratify patients, to identify those at greatest risk. Acuity scores are composite scores which help identify patients who are more unwell to support & prioritise clinical care. There are no validated acuity scores for COVID-19 & it is unclear whether standard tools are accurate enough to provide this support. This secondary care COVID OMOP dataset contains granular demographic, morbidity, serial acuity and outcome data to inform risk prediction tools in COVID-19.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. The West Midlands was one of the hardest hit regions for COVID admissions in both wave 1 & 2.

EHR. University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. UHB has cared for >5000 COVID admissions to date. This is a subset of data in OMOP format.

Scope: All COVID swab confirmed hospitalised patients to UHB from January – August 2020. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to care process (timings, staff grades, specialty review, wards), presenting complaint, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.

Available supplementary data: Health data preceding & following admission event. Matched “non-COVID” controls; ambulance, 111, 999 data, synthetic data. Further OMOP data available as an additional service.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

According to Cognitive Market Research, the global Modular Hospital market size will be USD 6512.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.30% from 2024 to 2031.

North America held the major market share, more than 40% of the global revenue, with a market size of USD 2604.88 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 6.5% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 1953.66 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1497.81 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2024 to 2031.
Latin America's market will have more than 5% of the global revenue with a market size of USD 325.61 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
The Middle East and Africa held the major market share of around 2% of the global revenue, with a market size of USD 130.24 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Steel held the highest Modular Hospital market revenue share in 2024.

Key Drivers of Modular Hospital Market

Expanding Healthcare to Provide More Facilities to Provide Viable Market Output

The Modular Hospital market is experiencing significant growth due to the expansion of healthcare to provide more facilities. As populations increase and medical needs evolve, there's a pressing demand for more healthcare facilities. Modular hospitals offer a flexible and rapid solution, enabling the quick establishment of fully functional medical centers. These facilities can be deployed in remote or underserved areas where traditional construction may be challenging. Moreover, modular hospitals provide scalability, allowing for easy expansion or reconfiguration as healthcare needs evolve. With their cost-effectiveness, speed of deployment, and adaptability, modular hospitals are becoming integral to healthcare systems striving to provide comprehensive medical services to a broader population base.

For instance, in September 2020, the UK National Health Service included Portakabin in the NHS Shared Business Services procurement framework. Under this inclusion, the company has provided isolation units for Hywel DDA University Health Board in Wales and an additional 30-bed modern ward built (in just 8 weeks) to treat coronavirus-affected patients.

(Source: https://www.portakabin.com/gb-en/news-and-events/news/healthcare-experts/)

Various Strategies Adopted by Key Players to Propel Market Growth

The Modular Hospital market is experiencing growth due to the various strategies chosen by key players. These include strategic partnerships and collaborations to leverage each other's expertise and resources, technological advancements to enhance modular hospital designs and functionalities, geographical expansions to enter into new markets and customer bases, and investments in research and development to improve product offerings continually. Additionally, customization and flexibility in modular hospital solutions are being prioritized to meet the unique needs of different healthcare facilities and settings, thereby increasing their adoption and market penetration. Overall, these strategies aim to strengthen market presence, increase competitiveness, and cater to evolving healthcare demands efficiently.

For instance, in January 2020, The Norfolk and Norwich University Hospital, U.K., awarded a project to Portakabin Ltd to build an off-site healthcare suite for patients. It is named 'The Aylsham Suite' and has space for nearly 28 patients. It also includes areas for relaxation, therapies, and treatments.

(Source: https://www.portakabin.com/gb-en/news-and-events/news/alysham-suite/)

Restraint Factors of Modular Hospital Market

Limited Customization to Restrict Market Growth

The Modular Hospital market faces a challenge due to limited customization. While modular hospitals offer pre-designed and pre-fabricated components that can be quickly assembled, there may be limitations in terms of tailoring the design to specific needs or preferences. This lack of customization could pose challenges for healthcare providers who require specialized facilities or layouts to meet unique opera...

PIONEER: Deeply-phenotyped hospital COVID patients: severity, acuity, therapies, outcomes Dataset number 4.0

Coronavirus disease 2019 (COVID-19) was identified in January 2020. Currently, there have been more than 6 million cases& more than 1.5 million deaths worldwide. Some individuals experience severe manifestations of infection, including viral pneumonia, adult respiratory distress syndrome (ARDS)& death. There is a pressing need for tools to stratify patients, to identify those at greatest risk. Acuity scores are composite scores which help identify patients who are more unwell to support & prioritise clinical care. There are no validated acuity scores for COVID-19 & it is unclear whether standard tools are accurate enough to provide this support. This secondary care COVID dataset contains granular demographic, morbidity, serial acuity and outcome data to inform risk prediction tools in COVID-19.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. The West Midlands was one of the hardest hit regions for COVID admissions in both wave 1 & 2.

EHR. University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. UHB has cared for >5000 COVID admissions to date.

Scope: All COVID swab confirmed hospitalised patients to UHB from January – May 2020. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes but also primary care records& clinic letters. Serial, structured data pertaining to care process (timings, staff grades, specialty review, wards), presenting complaint, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes. Linked images available (radiographs, CT, MRI, ultrasound).

Available supplementary data: Health data preceding & following admission event. Matched “non-COVID” controls; ambulance, 111, 999 data, synthetic data.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

Hospital Episode Statistics (HES) is a database containing details of all admissions, A and E attendances and outpatient appointments at NHS hospitals in England. Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the HES data set. HES data covers all NHS Clinical Commissioning Groups (CCGs) in England, including: private patients treated in NHS hospitals patients resident outside of England care delivered by treatment centres (including those in the independent sector) funded by the NHS Each HES record contains a wide range of information about an individual patient admitted to an NHS hospital, including: clinical information about diagnoses and operations patient information, such as age group, gender and ethnicity administrative information, such as dates and methods of admission and discharge geographical information such as where patients are treated and the area where they live We apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published HES data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-outpatient-activity

In 2021, Germany had by far the largest number of psychiatric hospital beds, amounting to nearly 109 thousand. In comparison there were 22.8 thousand beds in the UK. This statistic displays the number of psychiatric care beds in hospitals in selected European countries in 2021.

The Ministry of Health, Kuwait (MoH) is undertaking the expansion of an existing hospital in Kuwait.The project involves the construction of a 340,447m2 healthcare complex comprising three new buildings on 10.4ha area with 938 beds. The first building includes the construction of a new hospital with a large emergency room (ER) facility, surgical units, outpatient clinics, an oncology unit and 465 patient beds; the second includes a physical therapy and dermatology clinic; and the third include a dental clinic and teaching facility.The project also includes the construction of 6 storey main hospital building with 955 bed capacity, car parking for 1500 vehicles, 130 specialized clinics, 30 clinics for school health, physiotherapy and outpatient buildings, 28 operation theaters, a 233-bed intensive care unit, a dentistry building with a total of 130 clinics, 30 emergency rooms, laboratories, pharmacy, surgical units, outpatient clinics and related facilities, and the installation of equipment and machinery, and safety and security systems.SQC International (formerly known as Dar Saleh Al Qallaf Engineering Consultant) and TRO Jung-Brannen have been appointed as design consultants; KEO International Consultants as lead consultant; Al Ghanim & Jabbour as excavation/enabling contractor; and Gulf Consult as construction supervisor.On January 01 2011,Design, FEED has been Awarded.On July 31 2013, Design, FEED has been Completed.On September 29 2013,Main Contract Tender Issue (ITB, RFP)MoH issued a tender for design, construction, medical preparation, furnishing and commissioning of the project. 26 firms have been pre-qualified to bid. The bidders submitted their detailed proposals on January 28, 2014.On March 19 2014, Main Contractor has been Awarded.On September 2, 2014, MoH signed the main contract with Sayed Hamid Behbehani & Sons Co. The scope of the contract is the design, construction, equipping, furnishing, operation and maintenance for the expansion of Al Farwaniah Hospital.In the third quarter of 2015, construction works commenced on the project.As of August 2018, construction works reached 44.5% with completion scheduled in 2020. Read More

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Smart Bed Market Size 2024-2028

The smart bed market size is forecast to increase by USD 1.38 billion at a CAGR of 8.09% between 2023 and 2028.

The market is experiencing significant growth due to several key trends. Firstly, there is an increasing investment in sleep technology, as people become more conscious of the importance of quality sleep for overall health and well-being. This has led to the rising adoption of technology-driven beds that offer features such as adjustable firmness, temperature control, and sleep tracking. The integration of AI, machine learning, and big data analytics enhances user experience and provides cardiovascular disorder management, alarm systems for heart attacks, and anti-snoring features. However, the market also faces challenges, including the presence of counterfeit products that may compromise consumer safety and trust. Manufacturers must ensure the authenticity and quality of their products to maintain market competitiveness and customer loyalty.

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The market is experiencing significant growth as sleep technology integrates with the expanding smart home industry. Homeowners are prioritizing quality sleep and investing in advanced solutions to enhance their residential living experiences. Smart beds offer body temperature regulation, adjustable bases, and sleep tracking features, addressing individual comfort needs and improving overall sleep quality. These beds also cater to healthcare facilities for patient care, with state governments recognizing the importance of patient management and recovery through enhanced healthcare solutions.



Cardiovascular disorders, sleep apnea, and snoring are among the health conditions that smart beds aim to address, providing user-friendly experiences and seamless integration with IoT, home automation systems, and smart fabric technology. The young population's increasing focus on health and wellness further fuels market demand, making smart beds an attractive option for both residential and commercial purposes.

How is this Smart Bed Industry segmented and which is the largest segment?

The smart bed industry 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

  Healthcare
  Residential
  Hospitality


Distribution Channel

  Offline
  Online


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    Japan


  South America



  Middle East and Africa

By Application Insights

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

The market is experiencing growth due to its increasing application In the healthcare sector, where it plays a crucial role in enhancing patient care. In hospitals, smart beds are utilized for patient management and recovery, offering numerous health benefits. The healthcare segment's expansion of smart bed technology is driven by ongoing advancements, enabling hospitals to provide superior care. Government investments in hospital technology upgrades and the integration of IoT in healthcare applications are expected to further fuel market growth. Homeowners, too, are embracing smart beds for residential purposes, seeking enhanced comfort and personalized sleeping solutions. The market expansion is also influenced by the growing awareness of sleep health, the aging population, and the prevalence of lifestyle diseases.

Smart beds offer climate control, adjustable firmness, sleep tracking, and connectivity to home automation systems, making them an attractive option for both residential and commercial uses.

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The healthcare segment was valued at USD 962.10 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 37% 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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The North American market dominates the global smart bed industry due to the growing popularity of smart homes and the increasing demand for comfort and luxury among homeowners. Consequently, expenditure on smart home products, including smart beds, has risen significantly. These beds offer advanced features such as sleep tracking, climate control, adjustable firmness, and temperature control, catering to the user's comfort and health needs.

Additionally, the aging population and the rise of li

www.insight.hdrhub.org/about-us

Background: Diabetes mellitus affects over 3.9 million people in the United Kingdom (UK), with over 2.6 million people in England alone. More than 1 million people living with diabetes are acutely admitted to hospital due to complications of their illness every year. Cardiovascuar disease is the most prevalent cause of morbidity and mortality in people with diabetes. Diabetic retinopathy (DR) is a common microvascular complication of type 1 and type 2 diabetes and remains a major cause of vision loss and blindness in those of working age. This dataset includes the national screening diabetic grade category (seven categories from R0M0 to R3M1) from the Birmingham, Solihull and Black Country DR screening program (a member of the National Health Service (NHS) Diabetic Eye Screening Programme) and the University Hospitals Birmingham NHS Trust cardiac outcome data.

Geography: The West Midlands has a population of 5.9 million. The region includes a diverse ethnic, and socio-economic mix, with a higher than UK average of minority ethnic groups. It has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of diabetes, physical inactivity, obesity, and smoking.

Data sources:
1. The Birmingham, Solihull and Black Country Data Set, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom. They manage over 200,000 diabetic patients, with longitudinal follow-up up to 15 years, making this the largest urban diabetic eye screening scheme in Europe. 2. The Electronic Health Records held at University Hospitals Birmingham NHS Foundation Trust is one of the largest NHS Trusts in England, providing direct acute services and specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds and 100 ITU beds. UHB runs a fully electronic healthcare record for systemic disease.

Scope: All Birmingham, Solihull and Black Country diabetic eye screened participants who have been admitted to UHB with a cardiac related health concern from 2006 onwards. Longitudinal and individually linked with their diabetic eye care from primary screening data and secondary care hospital cardiac outcome data including • Demographic information (including age, sex and ethnicity) • Diabetes status • Diabetes type • Length of time since diagnosis of diabetes • Visual acuity • The national screening diabetic screening grade category (seven categories from R0M0 to R3M1) • Diabetic eye clinical features • Reason for sight and severe sight impairment • ICD-10 and SNOMED-CT codes pertaining to cardiac disease • Outcome

Website: https://www.retinalscreening.co.uk/

Ventilatory strategies and outcomes for patients acutely admitted to hospital

Dataset 14.0 Version 1.0 15.2.2021

Background. Acute respiratory failure is commonly encountered in the emergency department (ED). Early treatment can have positive effects on long-term outcome. Non-invasive ventilation is commonly used for patients with respiratory failure during acute exacerbations of chronic obstructive lung disease and congestive heart failure. For other patients, including neuromuscular dysfunction, mechanical ventilation may be needed. For refractory hypoxemia, new rescue therapies have emerged to help improve the oxygenation, and in some cases mortality. This dataset summarises the demography, admitting complaint, serial physiology, treatments and ventilatory strategies in patients admitted with hypoxaemia. Management options and rescue therapies including extracorporeal membrane oxygenation are included.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS.

EHR. University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. ITU capacity increased to 250 beds during the COVID pandemic. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. The electronic record captures ventilatory parameters.

Scope: All hospitalised patients with hypoxaemia requiring ventilatory support from 2000 onwards. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to care process (timings, staff grades, specialty review, wards), severity, ventilatory requirements, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.

Available supplementary data: Synthetic data. Post discharge care contacts.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

Background.

Diabetes mellitus affects over 3.9 million people in the United Kingdom (UK), with over 2.6 million people in England alone. Each year more than 1 million people with diabetes are acutely admitted to hospital due to complications of their illness. This includes Diabetic emergencies such as Diabetic Comas, Hypoglycaemia, Diabetic ketoacidosis, and Diabetic Hyperosmolar Hyperglycaemic State. Diabetic emergency management is often not compliant with national guidelines, and there is a pressing need to improve patient care. This dataset includes 65,506 people and 168,706 spells, designed to support research which improves diabetic emergency and unplanned care.

Other causes for admission include diabetic ulcers, neuropathies, kidney disease and associated co-morbidities such as infection, cerebrovascular disease and cardiovascular disease. This dataset includes acute all diabetic admissions to University Hospitals Birmingham NHS Trust from 2000 onwards refreshed to include new admissions as they occur.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

EHR. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Scope: All patients admitted to hospital from year 2002 and onwards, curated to focus on Diabetes. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to acute care process (timings, staff grades, specialty review, wards and triage). Along with presenting complaints, outpatients admissions, microbiology results, referrals, procedures, therapies, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations and others), all blood results(urea, albumin, platelets, white blood cells and others). Includes all prescribed & administered treatments and all outcomes. Linked images are also available (radiographs, CT scans, MRI).

Available supplementary data: Matched controls; ambulance, OMOP data, synthetic data.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2021-22, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2022. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019 the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the third publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type, birthweight, place of birth, and breastfeeding activity; and the mothers' ethnicity and age at booking. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. The count of Total Babies includes both live and still births, and previous changes to how Total Babies and Total Deliveries were calculated means that comparisons between 2019-20 MSDS data and later years should be made with care. The MethodfDelivery measure counting babies has been replaced by the DeliveryMethodBabyGroup measure which counts deliveries, and the smoking at booking and folic acid status measures have been renamed - these changes have been made to better align this annual publication with the Maternity Services Monthly Statistics publication. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.

Pathology services are a fundamental core of healthcare services and are essential in the delivery of many national priorities. A Report of the Review of NHS Pathology Services in England, chaired by Lord Carter of Coles, estimated that 70-80 per cent of all healthcare decisions affecting diagnosis or treatment involve a pathology investigation. With the increased demand on acute care services there is a growing requirement for rapid laboratory results to facilitate the decision to discharge or admit, including the escalation of care. Laboratory turn around times (LTAT) are defined as the interval between when a test is requested to the time the results are available to the clinical team. LTAT is considered one of the most noticeable markers of a laboratory service and is often used as a key performance indicator in healthcare settings.

Computerised Provider Order Entry (CPOE) systems are computer-assisted systems that are designed to replace a hospital’s paper-based ordering system. When configured correctly CPOE systems should increase efficiency and improve patient care.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Scope: Clinical and operational pathway data for 323,899 blood tests ordered pre and post implementation of a CPOE system. Data on the time the new system was implemented. Date and time fields are provided for the specimens from the point they were requested through to processing times in the laboratory and finally the date/time results are reported back via the Electronic Health System. Data on the ward and specialty are provided.

Available supplementary data: Matched controls; ambulance, OMOP data, synthetic data.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

Background: Age-related macular degeneration (AMD) is a degenerative disease of the human retina affecting individuals over the age of 55 years. AMD is the leading cause of blindness in industrialized countries. Worldwide, the number of people with AMD is predicted to increase from 196 million in 2020 to 288 million by 2040.

The UHB AMD Dataset is a longitudinal dataset consisting of routinely collected imaging and clinical metadata from patients receiving treatment for age-related macular degeneration (AMD) at UHB, from 2007 to the present.

This dataset encompasses all patients at UHB who have received at least one injection of either Lucentis (ranibizumab) or Eylea (aflibercept) or avastin. This dataset will include data from both eyes in each case - for example, it will include data from fellow eyes that are not receiving injections. For these reasons, the dataset will include longitudinal data from a mixture of eyes with both “dry” and “wet” AMD. Clinical metadata includes demographic information, visual acuities (predominantly measured with Early Treatment Diabetic Retinopathy Study (ETDRS) charts), treatment, and outcomes.

This dataset is continuously updating, however, as of October 2021, it consisted of 15063 eyes receiving treatment for AMD. This is a large single centre database from patients with AMD and covers more than a decade of follow-up for these patients.

Geography The Queen Elizabeth Hospital is one of the largest single-site hospitals in the United Kingdom, with 1,215 inpatient beds. Queen Elizabeth Hospital is part of one of the largest teaching trusts in England (University Hospitals Birmingham). Set within the West Midlands and it has a catchment population of circa 5.9million. The region includes a diverse ethnic, and socio-economic mix, with a higher than UK average of minority ethnic groups. It has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of diabetes, physical inactivity, obesity, and smoking.

Data source: Ophthalmology department at Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.

Between July and September 2019, there were almost 1.5 million admissions to NHS hospitals in England. Over the provided time interval, that is the quarter with the highest number of admissions.

Busiest hospitals in England

During the financial year 2018/19, the busiest hospital provider in England was the University Hospitals Birmingham Foundation Trust with almost 393.6 thousand admissions. This trust encompasses four hospitals in the Birmingham area, one of the largest urban areas in England. The second busiest trust in this year was the Manchester University Foundation Trust with approximately 315.7 thousand admissions.

Emergency admissions

In the period 2018/19, there were over six million accident and emergency (A&E) attendees in each quarter of the year in England. Prior to 2017/18, no previous quarter in England since 2012 had reached six million A&E attendances, indicating an increasing number of individuals are seeking emergency care. Approximately 5.1 percent of A&E attendees in England in 2018/19 were primarily diagnosed with a dislocation, fracture, joint injury, or an amputation, followed by 5 percent diagnosed with a respiratory condition. Although 4.7 percent were found to have ‘nothing abnormal detected’ which could be detrimental to a service that is already stretched.