The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations

The quality data in this table have been collected from health plans using standardized Health Effectiveness Data and Information Set (HEDIS) and are maintained and provided by the Utah Department of Health, Office of Health Care Statistics. The data span the years from 2010 through 2017. Each year of data represents patient care that occurred in the previous calendar year. This dataset is a sample of the full HEDIS data which is available for purchase from the Office of Health Care Statistics. To request a copy of the data in its entirety, please fill out a data request form located at: http://health.utah.gov/hda/order/view.php?id=10441

The Agency for Healthcare Research and Quality (AHRQ) created SyH-DR from eligibility and claims files for Medicare, Medicaid, and commercial insurance plans in calendar year 2016. SyH-DR contains data from a nationally representative sample of insured individuals for the 2016 calendar year. SyH-DR uses synthetic data elements at the claim level to resemble the marginal distribution of the original data elements. SyH-DR person-level data elements are not synthetic, but identifying information is aggregated or masked.

Snapshot img

Healthcare Information Systems Market Size 2024-2028

The healthcare information systems market size is forecast to increase by USD 126.2 billion at a CAGR of 9.5% between 2023 and 2028.

The market is experiencing significant growth due to the increasing demand for efficient medical care and disease management. Key features of HIS, such as medical device integration and ease of use, are driving this growth. Remote patient monitoring and disease management are becoming increasingly important, enabling healthcare providers to deliver better patient care and financial savings through improved efficiency. However, technical considerations, including data security and privacy, remain challenges that must be addressed to ensure the successful implementation and adoption of HIS. The market is witnessing a high demand for electronic health record (EHR) solutions and an increasing number of mergers and acquisitions. Despite these opportunities, it is crucial for providers to carefully consider the technical aspects of HIS implementation to ensure seamless integration and optimal performance.

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

Request Free Sample

The healthcare industry is undergoing a significant transformation, driven by advancements in technology and the increasing demand for efficient, patient-centric care. The market is witnessing substantial growth as healthcare organizations seek to optimize their operations, improve patient outcomes, and reduce costs. Healthcare data management is a critical component of this transformation. The ability to collect, store, and analyze large volumes of patient data is essential for delivering personalized and precise medical care. Healthcare data analytics is playing an increasingly important role in this regard, enabling healthcare providers to gain valuable insights from patient data and make informed decisions.
In addition, another key trend in the market is healthcare data security. With the increasing digitization of healthcare data, ensuring its security and privacy is a top priority. Healthcare organizations are investing in advanced cybersecurity solutions to protect sensitive patient information from cyber threats. Mobile technology is also transforming the healthcare landscape. Mobile health apps, telehealth platforms, and wearable technology are enabling remote patient monitoring, teleconsultations, and other innovative healthcare services. These technologies are improving patient engagement, enhancing the patient experience, and reducing the need for in-person visits. Cloud-based healthcare systems are another area of growth in the market.

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

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Revenue cycle management
  Hospital information system
  Medical imaging information system
  Pharmacy information systems
  Laboratory information systems


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  Asia

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The revenue cycle management segment is estimated to witness significant growth during the forecast period.

The healthcare industry's shift towards digitalization is driving the adoption of Healthcare Information Systems (HCIS), particularly in patient engagement and managing patient-related data. Chronic diseases, which account for a significant portion of healthcare expenditures, necessitate effective data management and analysis. HCIS product lines, including hardware and healthcare IT solutions, enable healthcare facilities to streamline operations, reduce costs, and enhance patient care. As the US population ages and the prevalence of chronic diseases increases, the need for advanced healthcare data analytics becomes more critical. HCIS solutions help manage complex billing processes, ensuring accuracy and compliance with regulations such as HIPAA and FDCPA.

Get a glance at the market report of share of various segments Request Free Sample

The revenue cycle management segment was valued at USD 81.10 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 47% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions Request Free Sample

In North America, the market is among the most advanced, driven by substantial investments in healthcare and government initiativ

Facilitate marketing campaigns with the healthcare email list from Infotanks Media, including doctors, healthcare professionals, NPI numbers, physician specialties, and more. Buy targeted email lists of healthcare professionals and connect with doctors, specialists, and other healthcare professionals to promote your products and services. Hyper personalize campaigns to increase engagement for better chances of conversion. Reach out to our data experts today! Access 1.2 million physician contact database with 150+ specialties, including chiropractors, cardiologists, psychiatrists, and radiologists, among others. Get ready to integrate healthcare email lists from Infotanks Media to start email marketing campaigns through CRM and ESP. Contact us right now! Ensure guaranteed lead generation with segmented email marketing strategies for specialists, departments, and more. Make the best use of target marketing to progress and move closer to your business goals with email listing services for healthcare professionals. Infotanks Media provides 100% verified healthcare email lists with the highest email deliverability guarantee of 95%. Get a custom quote today as per your requirements. Enhance your marketing campaigns with healthcare email lists from 170+ countries to build your global outreach. Request your free sample today! Personalize your business communication and interactions to maximize conversion rates with high-quality contact data. Grow your business network in your target markets from anywhere globally with a guaranteed 95% contact accuracy of the healthcare email lists from Infotanks Media. Contact data experts at Infotanks Media from the healthcare industry to get a quick sample for free. Please write to us or call today!

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 globally 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!

Healthcare Data Storage Market size was valued at USD 3.97 Billion in 2024 and is projected to reach USD 10.27 Billion by 2032, growing at a CAGR of 13.90% during the forecast period 2026-2032.Global Healthcare Data Storage Market DriversThe market drivers for the Healthcare Data Storage Market can be influenced by various factors. These may include:Growing volume of healthcare data: The amount of data produced by healthcare providers has increased dramatically as a result of the digitalization of medical records. This covers genomic information, medical imaging, electronic health records (EHRs), and more. To handle this data, healthcare institutions need effective and safe storage options.Severe laws and compliance requirements: HIPAA (Health Insurance Portability and Accountability Act) in the US and GDPR (General Data Protection Regulation) in Europe are two examples of the severe laws that apply to healthcare data. In order to protect patient information, these requirements mandate that healthcare organisations employ secure data storage solutions.Cloud storage is becoming more and more popular since it is affordable, flexible, and scalable, which appeals to healthcare institutions. Adoption is accelerated by cloud storage companies' provision of specialised healthcare cloud solutions that meet legal and regulatory standards.Technological developments: Artificial intelligence (AI), machine learning (ML), and big data analytics are some of the technologies that are revolutionising healthcare. To handle the massive volumes of data collected and analysed, these technologies need reliable data storage systems.Growing need for data interoperability: In order to enhance patient care coordination and results, healthcare providers are placing a greater emphasis on interoperability. This calls for the smooth transfer of medical data between various systems, which calls for trustworthy data storage options.Escalating healthcare expenses: There is pressure on healthcare institutions to save expenses without sacrificing care quality. Healthcare data management and storage operations can be made more cost-effective with the use of efficient data storage solutions.Growing comprehension of data security's significance Healthcare data breaches may result in severe repercussions, such as monetary losses and reputational harm. To safeguard patient data from online dangers, healthcare institutions are investing in secure data storage solutions.

Snapshot img

Healthcare Analytics Market Size 2025-2029

The healthcare analytics market size is forecast to increase by USD 81.28 billion, at a CAGR of 25% between 2024 and 2029.

The market is experiencing significant growth due to several key trends. The integration of big data with healthcare analytics is a major growth factor, enabling healthcare providers to make data-driven decisions and improve patient outcomes.
Another trend is the increasing use of Internet-enabled mobile devices in healthcare services, allowing for remote monitoring and real-time data access. However, data security and privacy concerns remain a challenge, with the need for strong security measures to protect sensitive patient information. These trends are shaping the future of patient engagement and driving growth in the global healthcare analytics market as well.

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

Request Free Sample

The market is experiencing significant growth due to the increasing adoption of digital solutions for improving patient care and reducing treatment costs. Healthcare organizations are leveraging descriptive analytics to gain insights from clinical data, while predictive and prescriptive analytics enable the development of personalized treatment plans and optimal therapeutic strategies. Financial analytics help manage healthcare expenses, ensuring cost-effective patient care. The National Institutes of Health (NIH) and other research institutions are driving innovation in health data analytics, leading to advancements in areas such as patient compliance, medication selection, and disease management. Industry leaders are utilizing artificial intelligence and machine learning to enhance clinical care, outreach, and disease management, ultimately leading to better treatment consistency and optimal outcomes for patients.

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

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

Component

  Services
  Software
  Hardware


Deployment

  On-premise
  Cloud-based


Type

  Descriptive Analysis
  Predictive Analysis
  Prescriptive and Diagnostics


Application

  Financial Analytics
  Clinical Analytics
  Operations and Administrative Analytics
  Population Health Analytics


End-User

  Insurance Company
  Government Agencies
  Healthcare Providers
  Pharmaceutical and Medical Device Companies


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America



  Middle East and Africa

By Component Insights

The services segment is estimated to witness significant growth during the forecast period. Healthcare analytics services encompass consulting, learning and training, development and integration, hardware maintenance and support, IT management, process management, and software support. The consulting and software support segments are experiencing significant growth due to the increasing demand for advanced healthcare delivery systems and cost-effective models. The healthcare sector's ongoing transition from on-premises to cloud-based software and IT infrastructure deployment is another growth driver. This shift is expected to increase the demand for IT education and training services. End-users of these services range from individual doctor offices to full-service hospitals and multi-location clinics, including large hospitals and tissue and blood processing organizations.

Get a glance at the share of various segments. Request Free Sample

The services segment was valued at USD 6.7 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 36% 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 share of various regions, Request Free Sample

The North American market is driven by the increasing demand for secure data access and effective patient information management. The US and Canada are the primary contributors to this market due to their early adoption of advanced technologies, such as machine learning, predictive analytics, and quantum computing, across various industries. These technologies enable the healthcare sector to optimize patient compliance, medication selection, and therapeutic strategies and, ultimately, achieve optimal outcomes. Major companies in this market provide solutions to help healthcare organizations manage and

Please cite the following paper when using this dataset: N. Thakur, “MonkeyPox2022Tweets: The first public Twitter dataset on the 2022 MonkeyPox outbreak,” Preprints, 2022, DOI: 10.20944/preprints202206.0172.v2

Abstract The world is currently facing an outbreak of the monkeypox virus, and confirmed cases have been reported from 28 countries. Following a recent “emergency meeting”, the World Health Organization just declared monkeypox a global health emergency. As a result, people from all over the world are using social media platforms, such as Twitter, for information seeking and sharing related to the outbreak, as well as for familiarizing themselves with the guidelines and protocols that are being recommended by various policy-making bodies to reduce the spread of the virus. This is resulting in the generation of tremendous amounts of Big Data related to such paradigms of social media behavior. Mining this Big Data and compiling it in the form of a dataset can serve a wide range of use-cases and applications such as analysis of public opinions, interests, views, perspectives, attitudes, and sentiment towards this outbreak. Therefore, this work presents MonkeyPox2022Tweets, an open-access dataset of Tweets related to the 2022 monkeypox outbreak that were posted on Twitter since the first detected case of this outbreak on May 7, 2022. The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter, as well as with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management.

Data Description The dataset consists of a total of 255,363 Tweet IDs of the same number of tweets about monkeypox that were posted on Twitter from 7th May 2022 to 23rd July 2022 (the most recent date at the time of dataset upload). The Tweet IDs are presented in 6 different .txt files based on the timelines of the associated tweets. The following provides the details of these dataset files. • Filename: TweetIDs_Part1.txt (No. of Tweet IDs: 13926, Date Range of the Tweet IDs: May 7, 2022 to May 21, 2022) • Filename: TweetIDs_Part2.txt (No. of Tweet IDs: 17705, Date Range of the Tweet IDs: May 21, 2022 to May 27, 2022) • Filename: TweetIDs_Part3.txt (No. of Tweet IDs: 17585, Date Range of the Tweet IDs: May 27, 2022 to June 5, 2022) • Filename: TweetIDs_Part4.txt (No. of Tweet IDs: 19718, Date Range of the Tweet IDs: June 5, 2022 to June 11, 2022) • Filename: TweetIDs_Part5.txt (No. of Tweet IDs: 47718, Date Range of the Tweet IDs: June 12, 2022 to June 30, 2022) • Filename: TweetIDs_Part6.txt (No. of Tweet IDs: 138711, Date Range of the Tweet IDs: July 1, 2022 to July 23, 2022)

The dataset contains only Tweet IDs in compliance with the terms and conditions mentioned in the privacy policy, developer agreement, and guidelines for content redistribution of Twitter. The Tweet IDs need to be hydrated to be used.

The size of the Healthcare Prescriptive Analytics Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of > 18.00% during the forecast period. Healthcare prescriptive analytics is one of the forms of healthcare analytics with an objective of doing more than just analyzing data. It makes decisions of the prescriptive kind instead. Even a slightly sophisticated algorithm can enable HPA to predict future health outcomes and suggest some best courses of actions to be undertaken for improvement in patient care. HPA is adopted by various health care organizations in developing decision-making and also patient care. For example, in hospitals, HPA may thus be applied as follows: to optimize the use of resources and trace out latent outbreaks and forecast readmission of patients. The analysis of historical data combined with online information tends to make human analysts overlook some of the patterns and trends marked up by the HPA algorithms. This would make care providers more informed in their decisions on staffing, inventory management, and treatment protocols. HPA is very important in personalized medicine that designs treatment approaches to specific patients. It does so considering whether the patient has specific genetic information, medical history, and a current health status in coming up with the very best treatments available for the patient. Such approaches can prove to be worth it to determine better patient outcomes, reduced adverse effects, and improved general patient satisfaction. Thus, HPA can be used in the optimization of clinical workflows to ensure that effectiveness is achieved in the operations. The main way it does this is through the analysis of data on patient flow and resource use, as well as the staffing levels that would point out the bottlenecks in the delivery of healthcare. In so doing, it can use the right process improvements to ensure waiting times are reduced, and the experience of the patients improved. Basically, Health Care Prescriptive Analytics provides an extremely powerful and effective tool that can improve a person's decision-making and improve the outcome of patients. With power algorithms and data-driven insights, HPA will facilitate healthcare providers to optimize resource allocations, personalize treatment plans, and increase operational efficiency. In other words, as the amount and complexity of health care data continue to multiply and rise, so shall HPA roles within the transformation of the health care industry. Key drivers for this market are: , Integration of Big Data in Healthcare; Growing Need of Increasing Efficiency in Healthcare Sector; Increasing Demand to Curtail Healthcare Costs. Potential restraints include: , Data Security and Privacy Concerns; Lack of Properly Trained IT Professionals in Healthcare. Notable trends are: Cloud Based Segment is Expected to Show Better Growth in the Forecast Years.

The website shows data on the plan and implementation of the health services program by individual health activities (VZD) :

• hospital medical activity,
• general outpatient medical activity,
• specialist outpatient medical activity,
• dental practice,
• other health activities,
• activity of accommodation facilities for patient care,
• social care without accommodation for the elderly and disabled,
• production of pharmaceutical preparations,
• retail trade in specialized stores with pharmaceutical products,
• compulsory social security activity.

Within the framework of each activity, the data for each period are shown separately by contractors and together, the activity by regional units of ZZZS and the activity data at the level of Slovenia together.

Data on the plan and implementation of the health services program are shown in the accounting unit (e.g. points, quotients, weights, groups of comparable cases, non-medical care day, care, days...), which are used to calculate the work performed in the field of individual activities.

The publication of information about the plan and implementation of the program on the ZZZS website is primarily intended for the professional public. The displayed program plan for an individual contractor refers to the defined billing period. (example: The plan for the period 1-3 201X is calculated as 3/12 of the annual plan agreed in the contract).

The data on the implementation of the program represents the implementation of the program at an individual provider for insured persons who benefited from medical services from him during the accounting period. Data on the realization of the program do not refer to persons insured in accordance with the European legal order and bilateral agreements on social security. Data for individual contractors are classified by regional units based on the contractor's headquarters. The content of the data on the "number of cases" is defined in the Instruction on recording and accounting for medical services and issued materials.

The institute reserves the right to change the data, in the event of subsequently discovered irregularities after already published on the Internet.

The National Health Data System (SNDS) will make it possible to link:

• health insurance data (SNIIRAM database);
• hospital data (PMSI database);
• the medical causes of death (base of the CépiDC of Inserm);
• disability-related data (from MDPH - CNSA data);
• a sample of data from complementary health insurance organisations.

The first two categories of data are already available and constitute the first version of the SNDS. The medical causes of death should feed the SNDS from the second half of 2017. The first data from the CNSA will arrive from 2018 and the sample of complementary organizations in 2019.

The purpose of the SNDS is to make these data available in order to promote studies, research or evaluations of a nature in the public interest and contributing to one of the following purposes:

• health information;
• the implementation of health policies;
• knowledge of health expenditure;
• informing professionals and establishments about their activities;
• innovation in the fields of health and medico-social care;
• monitoring, surveillance and health security.

The information flow of the Hospital Discharge database (SDO flow) is the tool for collecting information relating to all hospitalization episodes provided in public and private hospitals throughout the national territory.

Born for purely administrative purposes of the hospital setting, the SDO, thanks to the wealth of information contained, not only of an administrative but also of a clinical nature, has become an indispensable tool for a wide range of analyzes and elaborations, ranging from areas to support of health planning activities for monitoring the provision of hospital assistance and the Essential Levels of Assistance, for use for proxy analyzes of other levels of assistance as well as for more strictly clinical-epidemiological and outcome analyzes. In this regard, the SDO database is a fundamental element of the National Outcomes Program (PNE).

The information collected includes the patient's personal characteristics (including age, sex, residence, level of education), characteristics of the hospitalization (for example institution and discharge discipline, hospitalization regime, method of discharge, booking date, priority class of hospitalization) and clinical features (e.g. main diagnosis, concomitant diagnoses, diagnostic or therapeutic procedures)

Information relating to drugs administered during hospitalization or adverse reactions to them (subject to other specific information flows) is excluded from the discharge form.

Clinical Data Analytics Market Outlook

As per our latest research, the global clinical data analytics market size reached USD 12.8 billion in 2024, reflecting robust momentum driven by the increasing adoption of digital health technologies and the growing emphasis on data-driven decision-making in healthcare. The market is expected to expand at a CAGR of 24.1% from 2025 to 2033, with the forecasted market size projected to reach USD 86.7 billion by 2033. This remarkable growth trajectory is primarily fueled by the rising need for advanced analytics to improve patient outcomes, optimize operational efficiency, and comply with stringent regulatory requirements. The integration of artificial intelligence and machine learning into clinical data analytics platforms is further enhancing the market’s value proposition, making it an indispensable tool for modern healthcare organizations globally.

A key growth driver for the clinical data analytics market is the exponential increase in healthcare data generation, stemming from widespread adoption of electronic health records (EHRs), wearable devices, and connected health systems. Healthcare institutions are increasingly leveraging clinical data analytics solutions to extract actionable insights from these vast data pools, enabling more accurate diagnoses, personalized treatment plans, and proactive disease management. The need to reduce healthcare costs while maintaining high standards of patient care is compelling providers to adopt analytics-driven approaches. Clinical data analytics helps identify inefficiencies, detect patterns in patient care, and predict adverse events, which collectively contribute to improved clinical outcomes and operational savings.

Another significant growth factor is the rising prevalence of chronic diseases and the aging global population, which are placing unprecedented pressure on healthcare systems worldwide. Clinical data analytics empowers providers to stratify patient populations, monitor disease progression, and implement targeted interventions for high-risk groups. The ability to harness predictive analytics for early detection and prevention of complications is especially valuable in managing chronic conditions such as diabetes, cardiovascular diseases, and cancer. Moreover, the growing focus on value-based care models is incentivizing healthcare organizations to invest in analytics platforms that can demonstrate measurable improvements in quality and efficiency, further propelling market expansion.

The increasing regulatory scrutiny and demand for compliance with healthcare standards such as HIPAA, GDPR, and other regional data protection laws are also accelerating market growth. Clinical data analytics platforms are being designed with robust security and privacy features to ensure the safe handling of sensitive patient information. This not only helps organizations avoid costly penalties but also builds trust among patients, clinicians, and stakeholders. Additionally, the ongoing digital transformation in healthcare, supported by government initiatives and funding programs, is creating a favorable environment for the adoption of advanced analytics solutions across hospitals, clinics, research organizations, and pharmaceutical companies.

Regionally, North America continues to dominate the clinical data analytics market, accounting for the largest share due to its advanced healthcare infrastructure, high adoption of digital technologies, and supportive regulatory landscape. Europe follows closely, driven by strong government support for digital health initiatives and increasing investments in healthcare IT. The Asia Pacific region is emerging as a high-growth market, fueled by rapid healthcare modernization, rising healthcare expenditures, and growing awareness of the benefits of analytics. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as healthcare providers in these regions increasingly recognize the value of data-driven decision-making.

Component Analysis

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

Snapshot img

Big Data Spending In Healthcare Sector Market Size 2025-2029

The big data spending in healthcare sector market size is forecast to increase by USD 7.78 billion at a CAGR of 10.2% between 2024 and 2029.

The market is driven by the growing need to improve business efficiency and the increasing use of big data analytics in healthcare. The healthcare industry is generating vast amounts of data daily, and harnessing this data through analytics can lead to enhanced patient care, operational efficiency, and research advancements. However, this trend faces significant challenges. Consumer behavior and customer experience are also under scrutiny, with data talent and natural language processing essential for last-mile delivery of personalized services.
Companies must navigate these complexities to effectively leverage data for improved patient outcomes and operational excellence. Ensuring the protection of sensitive health information is crucial to maintain patient trust and adhere to regulatory requirements. Data security and privacy concerns related to patients' medical data are becoming increasingly prominent. As the healthcare sector continues to digitize, addressing these challenges while capitalizing on the opportunities presented by big data analytics will be essential for market success. 

What will be the Size of the Big Data Spending In Healthcare Sector Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

In the dynamic healthcare sector, the adoption of big data has become a key driver for innovation and improvement. The market is witnessing significant investments in structured and unstructured data integration, ensuring data quality and security for data-driven decision-making. Risk management is a major focus, with predictive modeling and continuous intelligence enabling early fraud detection. The variety and velocity of data require advanced data analytics and machine learning techniques for effective decision-making. Data management and storage solutions in the cloud are increasingly popular due to their scalability and flexibility.

Semi-structured data and artificial intelligence are revolutionizing data visualization and enabling more accurate predictions, enhancing the overall value of big data in healthcare. The healthcare sector's big data landscape is continuously unfolding, with new applications and challenges emerging. Data integration and analytics are essential for making informed business decisions and improving patient care.

How is this Big Data Spending In Healthcare Sector Industry segmented?

The big data spending in healthcare sector 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.

Service

  Services
  Software


Type

  Descriptive analytics
  Predictive analytics
  Prescriptive analytics
  Diagnostic analytics


Application

  Financial analytics
  Population health management
  Clinical decision support
  Operational analytics
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Ireland
    UK


  APAC

    China
    India
    Philippines


  South America

    Brazil


  Rest of World (ROW)

By Service Insights

The Services segment is estimated to witness significant growth during the forecast period. In the dynamic healthcare sector, the adoption of big data solutions is increasingly becoming a priority for organizations. The services segment, which includes professional services, consulting, and managed services, is experiencing significant growth. Professional services, offered by third-party analytics companies, provide tailor-made solutions for the healthcare industry. These services enable organizations to discover new revenue streams, enhance data security, and improve service support for increased productivity. The demand for industry-specific, consumer group-specific, and region-specific data analysis is on the rise due to intensifying competition and innovation. Consulting services, though holding a smaller revenue share, significantly contribute to the overall growth of the services segment.

Flexibility, continuous intelligence, and data visualization are crucial elements of these services, ensuring business value in the face of data volume and variety. Risk management, cyber attacks, data quality, and data breaches are major concerns, necessitating advanced solutions like AI, machine learning, and natural language processing. Data collection, data storage, and data integration are essential components of data management, which must address velocity, noise, and data overload. Cloud services, data la

Healthcare Provider/Professional Data contains the data of individual providers and facilities, including their information about opening hours, insurance networks, specialties, NPI, etcetera. In addition to discovering data sources, merging data, running analytics, and receiving decision-making guidance, the bigger problem is responding to marketplace business and patient care demands in a timely manner. Pharmacy contains the location details of pharmacies and has attributes such as addresses, opening hours, facilities, etcetera.

A. Usecase/Applications possible with the data:

a. Provider network data systems (PNDS) - The primary goal of the PNDS is to collect data needed to evaluate provider networks, which include physicians, hospitals, labs, home health agencies, durable medical equipment providers, and so on, for all types of Health Insurers. Such information can be used to:

b. Find health care providers in my network - Use this directory to easily find other providers in my network.

c. Comprehensive services assessment - Determine whether insurers have contracted with a sufficient number of primary care practitioners, clinical specialists, and service facilities (hospitals, labs, etc.) within the insurer's service area.

d. Capacity analysis - Calculate the potential capacity of a managed care plan’s primary care providers.

e. Locate pharmacies in your local areas.

f. Support Employee Benefits Decisions - Having access to network data can help you make better decisions about which providers to use for Employee Medical Benefits.

g. Know about the facilities available across different pharmacies.

How does it work?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

Snapshot img

Healthcare Archiving Ediscovery Market Size and Trends

The healthcare archiving Ediscovery market size is forecast to increase by USD 1.86 billion, at a CAGR of 9.8% between 2023 and 2028. In the healthcare industry, the volume of electronic data continues to grow, driven by the increasing use of digital tools in healthcare facilities. This data includes patient records, social media interactions, and collaboration tools. The rising data necessitates effective archiving and eDiscovery solutions to mitigate medical errors and ensure the timely identification and treatment of symptoms related to untreated conditions. Moreover, healthcare organizations face increasing litigation risks, leading to an escalating number of eDiscovery requests. Consequently, data security and privacy concerns have become paramount, necessitating powerful solutions to protect sensitive patient information. The healthcare archiving eDiscovery market is poised for growth, driven by these factors. Women and BIPOC communities, in particular, stand to benefit from improved data management and eDiscovery processes, ensuring equitable access to quality healthcare services.

Request Free Sample

The healthcare industry generates vast amounts of electronically stored information (ESI) daily, including patient files, emails, text messages, images, social media postings, and other digital communications. This data plays a crucial role in providing quality patient care, but it also poses challenges when faced with e-discovery requests during litigation. Medical errors, untreated conditions, and miscommunications can lead to costly legal cases for healthcare facilities, insurance companies, hospitals, and private practitioners. E-discovery requests for relevant ESI can significantly impact the outcome of these cases. Properly sourcing, organizing, and sharing this data is essential to ensure accurate and timely responses. Women and BIPOC communities are disproportionately affected by medical errors and misdiagnoses.

Further, ensuring the availability and accessibility of their electronic health records during e-discovery is essential for fair representation and just outcomes. E-discovery in healthcare involves managing symptoms, untreated conditions, and other sensitive information. This data must be handled with care to protect patient privacy while ensuring compliance with legal requirements. Effective healthcare archiving solutions can help these organizations streamline their e-discovery processes and reduce costs associated with litigation. In conclusion, healthcare archiving plays a vital role in e-discovery, enabling organizations to mitigate medical errors, ensure fair representation, and maintain compliance with legal requirements. Properly managing and preserving electronic data can help reduce costs, minimize risk, and improve overall e-discovery readiness in the healthcare industry.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.

Deployment

  On-premises
  Cloud-based


Geography

  North America

    US


  Europe

    Germany
    UK


  Asia

    China
    Japan


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period. In the healthcare industry, medical errors and untreated conditions can lead to litigation, resulting in eDiscovery requests for relevant data. Women and BIPOC communities are disproportionately affected by such issues in healthcare facilities.

Get a glance at the market share of various segment Download the PDF Sample

The on-premises segment accounted for USD 1.50 billion in 2018 and showed a gradual increase during the forecast period. On-premises healthcare archiving eDiscovery solutions offer control and customization for law firms, service providers, and corporate counsel. Installed behind a client's firewall and configured on their hardware, these solutions provide complete control over the technology infrastructure and enable strong security measures to meet IT and information security regulations. However, the market share of on-premises healthcare archiving eDiscovery is projected to decrease due to the increasing popularity of cloud-based solutions. These offer ease of access, scalability, and cost savings, making them an attractive alternative for organizations seeking to manage their healthcare data more efficiently.

Regional Analysis

For more insights on the market share of various regions Download PDF Sample now!

North America is estimated to contribute 42% 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

On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.

Due to the large size of the complete dataset, a selected set of data representing a wide range of commonly used data items, has been created that can be easily managed and downloaded. The selected data file includes general hospital information, utilization data by payer, revenue data by payer, expense data by natural expense category, financial ratios, and labor information.

There are two groups of data contained in this dataset: 1) Selected Data - Calendar Year: To make it easier to compare hospitals by year, hospital reports with report periods ending within a given calendar year are grouped together. The Pivot Tables for a specific calendar year are also found here. 2) Selected Data - Fiscal Year: Hospital reports with report periods ending within a given fiscal year (July-June) are grouped together.

Context

Part of Janatahack Hackathon in Analytics Vidhya

Content

The healthcare sector has long been an early adopter of and benefited greatly from technological advances. These days, machine learning plays a key role in many health-related realms, including the development of new medical procedures, the handling of patient data, health camps and records, and the treatment of chronic diseases.

MedCamp organizes health camps in several cities with low work life balance. They reach out to working people and ask them to register for these health camps. For those who attend, MedCamp provides them facility to undergo health checks or increase awareness by visiting various stalls (depending on the format of camp).

MedCamp has conducted 65 such events over a period of 4 years and they see a high drop off between “Registration” and number of people taking tests at the Camps. In last 4 years, they have stored data of ~110,000 registrations they have done.

One of the huge costs in arranging these camps is the amount of inventory you need to carry. If you carry more than required inventory, you incur unnecessarily high costs. On the other hand, if you carry less than required inventory for conducting these medical checks, people end up having bad experience.

The Process:

MedCamp employees / volunteers reach out to people and drive registrations.
During the camp, People who “ShowUp” either undergo the medical tests or visit stalls depending on the format of health camp.

Other things to note:

Since this is a completely voluntary activity for the working professionals, MedCamp usually has little profile information about these people.
For a few camps, there was hardware failure, so some information about date and time of registration is lost.
MedCamp runs 3 formats of these camps. The first and second format provides people with an instantaneous health score. The third format provides  
information about several health issues through various awareness stalls.

Favorable outcome:

For the first 2 formats, a favourable outcome is defined as getting a health_score, while in the third format it is defined as visiting at least a stall.
You need to predict the chances (probability) of having a favourable outcome.

Train / Test split:

Camps started on or before 31st March 2006 are considered in Train
Test data is for all camps conducted on or after 1st April 2006.

Acknowledgements

Credits to AV

Inspiration

To share with the data science community to jump start their journey in Healthcare Analytics

US Healthcare NPI Data is a comprehensive resource offering detailed information on health providers registered in the United States.

Dataset Highlights:

• NPI Numbers: Unique identification numbers for health providers.
• Contact Details: Includes addresses and phone numbers.
• State License Numbers: State-specific licensing information.
• Additional Identifiers: Other identifiers related to the providers.
• Business Names: Names of the provider’s business entities.
• Taxonomies: Classification of provider types and specialties.

Taxonomy Data:

• Includes codes, groupings, and classifications.
• Facilitates detailed analysis and categorization of providers.

Data Updates:

• Weekly Delta Changes: Ensures the dataset is current with the latest changes.
• Monthly Full Refresh: Comprehensive update to maintain accuracy.

Use Cases:

• Market Analysis: Understand the distribution and types of healthcare providers across the US. Analyze market trends and identify potential gaps in healthcare services.
• Outreach: Create targeted marketing campaigns to reach specific types of healthcare providers. Use contact details for direct outreach and engagement with providers.
• Research: Conduct in-depth research on healthcare providers and their specialties. Analyze provider attributes to support academic or commercial research projects.
• Compliance and Verification: Verify provider credentials and compliance with state licensing requirements. Ensure accurate provider information for regulatory and compliance purposes.

Data Quality and Reliability:

• The dataset is meticulously curated to ensure high quality and reliability. Regular updates, both weekly and monthly, ensure that users have access to the most current information. The comprehensive nature of the data, combined with its regular updates, makes it a valuable tool for a wide range of applications in the healthcare sector.

Access and Integration: - CSV Format: The dataset is provided in CSV format, making it easy to integrate with various data analysis tools and platforms. - Ease of Use: The structured format of the data ensures that it can be easily imported, analyzed, and utilized for various applications without extensive preprocessing.

Ideal for:

• Healthcare Professionals: Physicians, nurses, and other healthcare providers who need to verify information about their peers.
• Analysts: Data analysts and business analysts who require detailed and accurate healthcare provider data for their projects.
• Businesses: Companies in the healthcare sector looking to understand market dynamics and reach out to providers.
• Researchers: Academic and commercial researchers conducting studies on healthcare providers and services.

Why Choose This Dataset?

• Comprehensive Coverage: Detailed information on millions of healthcare providers across the US.
• Regular Updates: Weekly and monthly updates ensure that the data remains current and reliable.
• Ease of Integration: Provided in a user-friendly CSV format for easy integration with your existing systems.
• Versatility: Suitable for a wide range of applications, from market analysis to compliance and research.

By leveraging the US Healthcare NPI & Taxonomy Data, users can gain valuable insights into the healthcare landscape, enhance their outreach efforts, and conduct detailed research with confidence in the accuracy and comprehensiveness of the data.

Summary:

• This dataset is an invaluable resource for anyone needing detailed and up-to-date information on US healthcare providers. Whether for market analysis, research, outreach, or compliance, the US Healthcare NPI & Taxonomy Data offers the detailed, reliable information needed to achieve your goals.