Introduction

This UK English Call Center Speech Dataset for the Healthcare industry is purpose-built to accelerate the development of English speech recognition, spoken language understanding, and conversational AI systems. With 30 Hours of unscripted, real-world conversations, it delivers the linguistic and contextual depth needed to build high-performance ASR models for medical and wellness-related customer service.

Created by FutureBeeAI, this dataset empowers voice AI teams, NLP researchers, and data scientists to develop domain-specific models for hospitals, clinics, insurance providers, and telemedicine platforms.

Speech Data

The dataset features 30 Hours of dual-channel call center conversations between native UK English speakers. These recordings cover a variety of healthcare support topics, enabling the development of speech technologies that are contextually aware and linguistically rich.

Topic Diversity

The dataset spans inbound and outbound calls, capturing a broad range of healthcare-specific interactions and sentiment types (positive, neutral, negative).

These real-world interactions help build speech models that understand healthcare domain nuances and user intent.

Transcription

Every audio file is accompanied by high-quality, manually created transcriptions in JSON format.

Metadata

Each conversation and speaker includes detailed metadata to support fine-tuned training and analysis.

Usage and Applications

This dataset can be used across a range of healthcare and voice AI use cases:

DECOVID, a multi-centre research consortium, was founded in March 2020 by two United Kingdom (UK) National Health Service (NHS) Foundation Trusts (comprising three acute care hospitals) and three research institutes/universities: University Hospitals Birmingham (UHB), University College London Hospitals (UCLH), University of Birmingham, University College London and The Alan Turing Institute. The original aim of DECOVID was to share harmonised electronic health record (EHR) data from UCLH and UHB to enable researchers affiliated with the DECOVID consortium to answer clinical questions to support the COVID-19 response.   ​​   ​​The DECOVID database has now been placed within the infrastructure of PIONEER, a Health Data Research (HDR) UK funded data hub that contains data from acute care providers, to make the DECOVID database accessible to external researchers not affiliated with the DECOVID consortium.  

This highly granular dataset contains 256,804 spells and 165,414 hospitalised patients. The data includes demographics, serial physiological measurements, laboratory test results, medications, procedures, drugs, mortality and readmission.

Geography: 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 & > 120 ITU bed capacity. UCLH provides first-class acute and specialist services in six hospitals in central London, seeing more than 1 million outpatient and 100,000 admissions per year. Both UHB and UCLH have fully electronic health records. Data has been harmonised using the OMOP data model. Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy')

Features may have these attributes:

• capacity:persons
• amenity
• healthcare
• healthcare:speciality
• name
• building
• operator:type
• source
• addr:full
• addr:city

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

A highly granular dataset of 16,052 Same day emergency care (SDEC) spells with a focus on care pathways. It includes demography, co-morbidities, presenting symptoms, serial physiology, investigations, and outcomes.

Description (3000 Characters) – Current 2540 (with spaces)

Emergency care services face increasing pressure. NHS England (NHSE) has prioritised pathways for patients which avoid admission, including Same Day Emergency Care (SDEC) services. The NHS Long Term Plan recommends SDEC assessment for one third of medical attendances.

​Care quality indicators (CQI) include times from arrival to assessment by senior clinical teams. Performance measured against these CQI are impacted by other factors, such as delays in referrals, awaiting investigation results.​ 

PIONEER has curated a highly granular dataset of 16,052 Same day emergency care (SDEC) spells, including not only detailed patient level information, but data about the wider clinical environment on the day of admission.

Geography: The West Midlands (WM) has a population of 6 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 & > 120 ITU bed capacity. 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”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

Snapshot img

Healthcare Facilities Management Market Size 2024-2028

The healthcare facilities management market size is forecast to increase by USD 92.9 billion at a CAGR of 9.7% between 2023 and 2028.

The market is experiencing significant growth due to the increasing adoption of advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and big data analytics. These technologies enable smart building technology, enhancing operational efficiency and patient care. Cloud-based solutions are gaining popularity due to their flexibility and scalability. Strategic alliances and new product launches are driving market competition. However, the market remains fragmented, with numerous players vying for market share. The integration of these technologies in healthcare facilities management is transforming the industry, offering improved patient outcomes and operational cost savings.

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

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The market encompasses the planning, designing, constructing, and maintaining of physical infrastructure to deliver efficient and effective healthcare services. This market plays a crucial role in ensuring the health and well-being of patients, particularly those in the geriatric population and those suffering from non-communicable and chronic diseases. One of the primary objectives of healthcare facilities management is to improve patient safety. Advanced technologies, such as AI and IoT, are increasingly being integrated into healthcare facilities to achieve this goal. Big data analytics derived from these technologies enable healthcare providers to monitor patient volume, energy usage, and digital platforms to optimize patient scheduling and electronic health records management.
Moreover, healthcare facilities management is essential for energy management. With the competitive nature of the healthcare industry, on-site and off-site facility management companies are leveraging smart building technology to reduce energy usage and costs. This not only benefits the healthcare providers but also contributes to the overall sustainability efforts. Patient safety and health and well-being are the top priorities in the healthcare sector. Healthcare services must adhere to stringent regulations, including patent scrutiny, to ensure the highest standards of care. Healthcare facility construction is a significant investment, and ROI is a critical consideration. Effective healthcare facilities management can help maximize this investment by ensuring that the infrastructure is utilized optimally.

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.

End-user

  Hospitals and clinics
  Long-term healthcare facilities
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  Asia

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By End-user Insights

The hospitals and clinics segment is estimated to witness significant growth during the forecast period.

In the realm of healthcare, managing facilities in hospitals and clinics is a critical aspect of delivering optimal patient care. This involves overseeing the coordination of facilities, assets, and personnel to ensure a safe, efficient, and high-quality care environment. Advanced technologies, such as Artificial Intelligence (AI) and the Internet of Things (IoT), are increasingly being integrated into healthcare facilities management to enhance operations. Big data analytics and smart building technology enable real-time monitoring and optimization of energy usage, HVAC systems, and other essential services. Compliance, security, and emergency planning are also integral components of healthcare facilities management, ensuring the well-being of both patients and staff.

Moreover, with the dynamic nature of healthcare, from brief outpatient visits to lengthy inpatient procedures, agility and careful planning are essential. By leveraging the latest technologies, healthcare facilities management can adapt to the unique demands of the healthcare setting and prioritize patient care.

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The hospitals and clinics segment was valued at USD 80.00 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 45% 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.

For more insights on the market shar

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

GlobalData is currently tracking health construction projects in Western Europe with a total value of US$106.2 billion, which includes projects from the announced to execution stages. In Eastern Europe, the pipeline has a total value of US$31.7 billion Read More

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy')

Features may have these attributes:

• name
• name:en
• amenity
• building
• healthcare
• healthcare:speciality
• operator:type
• capacity:persons
• addr:full
• addr:city
• source

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

The UK geospatial analytics market is projected to reach a value of USD 1.85 billion by 2033, expanding at a CAGR of 11.26% during the forecast period (2025-2033). The increasing demand for geospatial data for decision-making across various industry verticals, such as defense, intelligence, healthcare, and transportation, is driving market growth. The government's emphasis on smart city projects and the adoption of location-based services are also contributing to the market's expansion. Key market trends include the growing adoption of cloud-based geospatial analytics platforms, the increasing use of artificial intelligence (AI) and machine learning (ML) for geospatial data analysis, and the emergence of 5G technology, which enables real-time data collection and processing. The market is segmented by type (surface analysis, network analysis, geovisualization) and end-user vertical (agriculture, utility and communication, defense and intelligence, government, mining and natural resources, automotive and transportation, healthcare, real estate and construction). Key players in the UK geospatial analytics market include SAS Institute Inc, Trimble, General Electric, Accenture, Bluesky International Ltd, ESRI Inc, Oracle Corporation, Bentley Systems Inc, and Hexagon. Recent developments include: April 2023: EDF used Esri UK corporate GIS to build a geospatial site for the Hinkley Point C nuclear power station, one of Europe's most extensive and complicated building projects. The portal provides a single picture of the entire project. They are facilitating greater cooperation and enabling new digital workflows, Assisting employees and contractors in improving safety and productivity. When the building of the nuclear reactors began, the portal has recently been expanded to include Tier-1 contractors, and it presently has over 1,500 users., April 2021: Esri UK launched a new cooperation with Tetra Tech, a worldwide consulting and engineering services company, to enhance indoor mapping capabilities by combining their expertise. Esri UK was to contribute to the partnership's robust GIS system, which had multiple indoor mapping capabilities, such as interactive floor plans and indoor location capabilities. Tetra Tech was to add 3D terrestrial laser scanning, data analytics, and CAD capabilities to GIS. They were to collaborate to provide customers with an end-to-end interior mapping solution to capitalize on an expanding need for indoor mapping for facilities management at central workplaces, campuses, or hospitals.. Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: High Costs and Operational Concerns, Concerns related to Geoprivacy and Confidential Data. Notable trends are: Location data will hold the significant share.

Snapshot img

Artificial Intelligence (AI) Market in Healthcare Size 2025-2029

The artificial intelligence (AI) market in healthcare size is forecast to increase by USD 30.23 billion, at a CAGR of 33.1% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing demand for digitization in healthcare services. AI-based tools are increasingly being adopted to improve efficiency, accuracy, and patient outcomes in various healthcare applications. One of the most promising areas for AI in healthcare is elderly care, where these technologies can help address the growing population of aging individuals and their unique healthcare needs. However, the market faces challenges, including skepticism from physicians and providers regarding the reliability and effectiveness of AI solutions.
This reluctance can hinder the widespread adoption of AI in healthcare, necessitating efforts to build trust and demonstrate the tangible benefits of these technologies. Navigating these challenges will be crucial for companies seeking to capitalize on the market's potential and make a lasting impact on the strategic healthcare landscape.

What will be the Size of the Artificial Intelligence (AI) Market in Healthcare 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 continues to evolve, with dynamic applications across various sectors. AI-powered diagnostics leverage machine learning algorithms and deep learning models for improved diagnostic accuracy, while ethics remain a critical consideration in their implementation. Robotic surgery and wearable sensors enhance patient care and enable remote monitoring, contributing to better outcomes and reduced medical errors. Personalized medicine and precision oncology benefit from data analytics platforms and big data management, facilitating early disease detection and drug discovery. Hospital information systems optimize workflows and ensure data integration, security, and privacy. Model validation and data validation are essential for maintaining model accuracy and reducing bias.

AI's role in mental health care and chronic disease management is increasingly significant, with computer vision systems and explainable AI facilitating image recognition and algorithm transparency. Telemedicine platforms and predictive analytics enable cost reduction and increased efficiency, while process optimization and risk stratification improve patient care. The ongoing unfolding of market activities includes the development of AI ethics frameworks, bias mitigation strategies, and data security measures. Natural language processing and data analytics platforms facilitate improved healthcare IT infrastructure, enabling more effective clinical decision support and patient privacy protection. Continuous advancements in AI technology and its integration into healthcare systems promise to revolutionize the industry, offering significant benefits for patients and healthcare providers alike.

How is this Artificial Intelligence (AI) in Healthcare Industry segmented?

The artificial intelligence (AI) in healthcare 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.

Application

  Medical imaging and diagnostics
  Drug discovery
  Virtual assistants
  Operations management
  Others


Component

  Software
  Hardware
  Services


End-user

  Hospitals and clinics
  Research institutes and academies


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Application Insights

The medical imaging and diagnostics segment is estimated to witness significant growth during the forecast period.

Medical imaging, a crucial aspect of healthcare, involves creating visual representations of the human body for clinical analysis and diagnosis. Radiology, the science behind this process, encompasses techniques such as X-rays, CAT scans, and MRIs. However, managing vast amounts of high-resolution medical imaging data for effective treatment and diagnosis is a significant challenge for even large healthcare institutions and experienced professionals. The increasing volume of data and the need for radiologist efficiency have led to the adoption of Artificial Intelligence (AI) in medical imaging. AI technologies like natural language processing, machine learning algorithms, deep learning models, and image recognition are employed to enhance diagnostic accuracy, reduce medical errors, and improve efficiency.

Furthermore, AI aids in data integration, model

Ordnance Survey ® OpenMap - Local Buildings are polygon features that represent a built entity that includes a roof. This is a generalized building and could be made up of an amalgamation of other buildings and structures.Ordnance Survey ® OpenMap - Local Important Buildings are polygon features that represent buildings that fall within the extent of a functional site across England, Wales and Scotland. Important Buildings are classified into a number of building themes such as:Attraction and Leisure - A feature that provides non-sporting leisure activities for the public. Includes Tourist Attractions.Air Transport - This theme includes all sites associated with movement of passengers and goods by air, or where aircraft take off and land. Includes Airport, Helicopter Station, Heliport.Cultural Facility - A feature that is deemed to be of particular interest to society. Includes Museum, Library, Art Gallery.Education facility - This theme includes a very broad group of sites with a common high level primary function of providing education (either state funded or by fees). Includes: Primary Education, Secondary Education, Higher or University Education, Further Education, Non State Secondary Education, Non State Primary Education, Special Needs Education.Emergency Services - Emergency services are organizations which ensure public safety and health by addressing different emergencies. Includes: Fire Station, Police Station.Medical Facility - This theme includes sites which focus on the provision of secondary medical care services. Includes: Medical Care Accommodation, Hospital, Hospice.Religious Building - A place where members of a religious group congregate for worship. Includes: Places of Worship (churches etc.)Retail - A feature that sells to the general public finished goods. Includes: Post OfficeRoad Transport - This theme includes: Bus Stations, Coach Stations, Road user services.Sports and Leisure Facility - A feature where many different sports can be played. Includes: Sports and Leisure CentreWater Transport - This theme includes sites involved in the transfer of passengers and or goods onto vessels for transport across water. Includes: Port consisting of Docks and Nautical Berthing, Vehicular Ferry Terminal, Passenger Ferry Terminal.With OS OpenMap - Local Buildings and Important Buildings you can:Understand your area in detail, including the location of key sites such as schools and hospitals.Share high-quality maps of development proposals to help interested parties to understand their extent and impact.Analyse data in relation to important public buildings, roads, railways, lines and more.Use in conjunction with other layers such as Functional Sites – an area or extent which represents a certain type of function or activity.Present accurate information consistently with other available open data products.The currency of the data is 04/2025

Resuscitation to Recovery is the national framework to improve care of people with Out of hospital cardiac arrests (OHCA). Despite this, survival rates continue to be around 10%. Recently an OHCA care pathway been developed by the British Cardiovascular Interventional Society, aiming to reduce unwarranted variation in interventional cardiovascular practice for OHCA. However, little research has tracked the care OHCA patients receive along the whole pathway. 

To support a better understanding of OHCA care pathways, PIONEER, working with the NIHR Midlands Applied Research Collaboration and West Midlands Ambulance Service, has curated a highly granular dataset of 1588 OHCA events. The data includes demography, comorbidities, initial presentation, serial physiology, assessments, treatment provided both before and after West Midlands Ambulance Service arrival, onward hospital investigations, management and outcomes, including future healthcare use. The current dataset includes OHCA from 2018 to 2022 but can be expanded to assess other timelines of interest.

Geography: The West Midlands (WM) has a population of 6 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 & > 120 ITU bed capacity. 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”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

Land within Nottingham City where Planning permission will be granted for development which supports and enhances the provision of health facilities at the following sites:(a) The Queens Medical Centre site for hospital or other health services;(b) The City Hospital site for hospital or other health services.This dataset should be referenced alongside the Local Plan for Nottingham City and the Core Strategy which guides development in Nottingham City.Local plan documents located here: https://www.nottinghamcity.gov.uk/information-for-business/planning-and-building-control/planning-policy/the-local-plan-and-planning-policy/the-adopted-local-plan/

Snapshot img

Blockchain Technology In Healthcare Market Size 2024-2028

The blockchain technology in healthcare market size is forecast to increase by USD 8.03 billion at a CAGR of 58.96% between 2023 and 2028. Blockchain technology is revolutionizing the healthcare industry by offering enhanced security and transparency for medical records and patient histories. This technology enables secure data transactions through a decentralized system, ensuring that patient data is protected from financial losses due to theft or unauthorized access. The implementation of blockchain technology in healthcare can lead to revolutionary changes, including the creation of master patient indices for longitudinal records and an integrated workflow for seamless data exchange. The potential of the metaverse to create secure, great environments for healthcare applications is also being explored, enhancing patient engagement and data security. The merits of this technology extend beyond data security, as it also allows for informed consent and improved patient privacy management. The financial sector is also benefiting from blockchain technology through increased efficiency and reduced costs associated with traditional record-keeping methods. Overall, the adoption of blockchain technology in healthcare is a significant trend that is expected to continue, as the industry prioritizes data security and privacy while improving workflow and patient care.

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

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Blockchain technology, a digital ledger system, is revolutionizing various industries, including healthcare, by providing a secure and accountable method for recording and transferring data. This technology, which utilizes computers, blocks, and databases, operates on a network of interconnected nodes that maintain a permanent and unchangeable record of transactions. In the healthcare sector, blockchain technology offers significant advantages over traditional methods for managing data. With increasing concerns over healthcare data breaches and counterfeit drugs, the need for a secure and immutable system is paramount. Blockchain technology provides this security by creating a decentralized database that is resistant to data leaks and tampering.

One application of blockchain technology in healthcare is the secure exchange of sensitive information, such as vaccination certificates and medical records. By utilizing this technology, healthcare providers can ensure the authenticity and accuracy of these records, while patients maintain control over their data. Additionally, blockchain technology can be used to trace the origin of medications, preventing the distribution of counterfeit drugs and ensuring the integrity of the supply chain. Another area where blockchain technology can make a difference is in the management of medical devices and hospital equipment. By creating a digital ledger of device history, maintenance records, and ownership, healthcare facilities can ensure that all equipment is up-to-date and functioning properly.

Also, this not only improves patient safety but also reduces costs by eliminating the need for unnecessary repairs and replacements. Furthermore, blockchain technology can also be used to facilitate transactions with non-traditional suppliers, such as those in developing countries. By creating a secure and transparent system for recording and verifying transactions, blockchain technology can help to build trust and increase efficiency in global supply chains. In conclusion, blockchain technology is transforming the healthcare industry by providing a secure and accountable method for recording and transferring data. From preventing healthcare data breaches and drug counterfeiting to improving the management of medical devices and facilitating transactions with non-traditional suppliers, the benefits of this technology are vast.

Market Segmentation

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.

Type

  Private
  Public
  Hybrid


End-user

  Pharmaceutical and medical device companies
  Healthcare payers
  Healthcare providers


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By Type Insights

The private segment is estimated to witness significant growth during the forecast period. The implementation of blockchain technology in the healthcare sector is gaining traction in the United States, as businesses seek to enhance data security and patient privacy. Blockchain technology, which utilizes cryptographic algorithms and independent computers, offers immutability and transparency, making it an attractive solution

Improving outcomes for people with multiple long term conditions is a priority as set out in the NHS long term plan. ADMISSION is a Research Collaborative funded by UK Research and Innovation and the National Institute for Health Research and Care Research that brings together scientists, clinicians and patients from five UK universities and hospitals (Newcastle University and Newcastle Hospitals NHS Foundation Trust, University of Birmingham (PIONEER – the Health Data Research UK Acute Care Hub),  Manchester Metropolitan University, University of Dundeeand University College London) to transform understanding of multiple long-term conditions in hospital patients.

As part of this, PIONEER has curated a highly granular dataset of 119,815 unique hospitalised patients focusing on the impact of multiple long term conditions. The data includes admission details, demography, initial presentation, presenting symptoms, diagnoses, treatments, therapy, medications, imaging, wards, investigations, procedures, operations and outcomes. The current dataset includes admissions from 01-01-2000 to 07-02-2024 but can be expanded to assess other timelines of interest.

Geography: The West Midlands (WM) has a population of 6 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 & > 120 ITU bed capacity. 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”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

This dataset, curated by PIONEER, encompasses a detailed collection of 181,207 asthma admissions from 1st June 2016 to 31st May 2022, offering a comprehensive analysis tool for researchers examining the effects of air quality on respiratory health. It includes extensive patient demographics, serial physiological measurements, assessments, diagnostic codes (ICD-10 and SNOMED-CT), initial presentations, symptoms, and outcomes. Additionally, it integrates DEFRA air pollution data, geographically linked t individual health data, allowing for a nuanced exploration of environmental impacts on asthma incidence and severity. The dataset includes 4 years of data prior to and currently 1 year post introduction of the clean air zone.

The dataset invites longitudinal studies to evaluate the Clean Air Zones' effectiveness. Timelines post-introduction of the clean air zone can be expanded to include data up to 2024. Its granular detail provides invaluable insights into emergency medicine, public health policy, and environmental science, supporting targeted interventions and policy formulations aimed at reducing asthma exacerbations and improving air quality standards.

Geography: The West Midlands (WM) has a population of 6 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 & > 120 ITU bed capacity. 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”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy')

Features may have these attributes:

• name
• name:en
• amenity
• building
• healthcare
• healthcare:speciality
• operator:type
• capacity:persons
• addr:full
• addr:city
• source

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This is a checklist that has been specifically developed for the classification of inpatient facilities for mentally ill people in terms of domesticity vs institutionalisation. Each building has been dissected into 212 traits. If the trait is similar to domestic buildings in the region then there is no score for that trait. If however, that particular trait is not similar with what happens in domestic buildings in the region then it acquires one institutional point. The more points a building accumulates, the higher it scores in an institutional vs domestic-looking comparison. This checklist has been adapted from an earlier checklist for environments for people with learning difficulties Robinson, Emmons and Graffs created the Architectural Checklist (1984) to assess whether or not the environment of a facility was institutional or homelike. More specifically, their checklist was formed to assess the context and the architectural environment of facilities for people with learning difficulties in Minnesota. Here we have the completed checklists from five Acute Mental Health Wards in the UK and five Foyers de Post Cure in France. Each group included facilities with differences in terms of location and sitting, scale and building layout.References:• Chrysikou, E., 2020. A tale of two Countries: Comparing France and the UK to understand the elements of Psychosocially supportive design. In Bologna R. and Schinko, T. ed. Hospital 21: Breathing new Life in the 21st century Hospital. ISBN-10: 8894151832•Chrysikou, E., 2019. Psychiatric institutions and the physical environment: combining medical architecture methodologies and architectural morphology to increase our understanding. Journal of Healthcare Engineering, vol. 2019, Article ID 4076259, 16 pages, https://doi.org/10.1155/2019/4076259•Chrysikou, E., 2018. The ecopsychosocial complexities of acute psychiatric wards. In K. Christer, C. Claire, D. Wolstenholme, eds. 2018. Proceedings of the European Conference on Design 4 Health 2018, Sheffield 4th-6th September 2018. Sheffield: Sheffield Hallam University. ISBN: 978-1-84387-421-8• Chrysikou, E., 2017. Ecopsychosocial parameters and mental health: the complexities of the psychiatric ward. Proceedings of the 11th International Space Syntax Symposium, 3th – 7th July 2017. Lisbon: University of Lisbon. ISBN: 978-972-98994-4-7• Chrysikou, Ε., 2014. Architecture for psychiatric environments and therapeutic spaces. Amsterdam: IOS Press. ISBN 978-1-61499-459-6• Chrysikou, Ε., 2013. Accessibility for mental healthcare. Facilities, 31 (9/10), p. 418-426. ISSN: 0263-2772

Strokes can be ischaemic or haemorrhagic in nature, leading to debilitating symptoms which are dependent on the location of the stroke in the brain and the severity of the insult. Stroke care is centred around Hyper-acute Stroke Units (HASU), Acute Stroke and Brain Injury Units (ASU/ABIU) and specialist stroke services. Early presentation enables the use of more invasive treatments to clear blood clots, but commonly strokes present late, preventing their use.

This synthetic dataset represents approximately 29,000 stroke patients. Data includes demography, socioeconomic status, co-morbidities, “time stamped” serial acuity, physiology and treatments, investigations (structured and unstructured data), hospital care processes, and outcomes.

The dataset was created using the Synthetic Data Vault (SDV) package, specifically employing the GAN synthesizer. Real. data was first read and pre-processed, ensuring datetime columns were correctly parsed and identifiers were handled as strings. Metadata was defined to capture the schema, specifying field types and primary keys. This metadata guided the synthesizer in understanding the structure of the data. The GAN synthesizer was then fitted to the real data, learning the distributions and dependencies within. After fitting, the synthesizer generated synthetic data that mirrors the statistical properties and relationships of the original dataset.

Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. UHB is one of the largest NHS Trusts in England, providing direct acute stroke services & specialist care across four hospital sites.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

Hospital Associated Pneumonia (HAP) is a common healthcare associated infection, thought to affect 1-2% of all UK hospital admissions. Patients with HAP are more likely to need intensive care support and have increased length of stay and mortality rates. Unlike in community-acquired pneumonia, tools to stratify risk or severity are lacking. While there is some understanding of risk-factors that predispose people to HAP, prognostic factors are less well defined.  Treatment guidelines suggest broad spectrum antibiotics but there is little understanding of the causative organisms which cause HAP. 

​To explore HAP, PIONEER, with the NIHR Birmingham BRC Infection and Acute Care theme, have curated a highly granular dataset of 22,580 hospital acquired pneumonia spells. The data includes demography, co-morbidities including Charlson comorbidity index, symptoms, serial physiology and acuity, investigations including microbiology, imaging, medications (dose and route), ward locations including intensive care details and outcomes. The current dataset includes admissions from 01-01-2018 to 31-12-2022 but can be expanded to assess other timelines of interest.

Geography: The West Midlands (WM) has a population of 6 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 & > 120 ITU bed capacity. 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”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.