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This statistic shows the size of the global big data analytics services market related to healthcare in 2016 and a forecast for 2025, by application. It is predicted that by 2025 the market for health-related financial analytics services using big data will increase to over 13 billion U.S. dollars.

The North American clinical data analytics market in healthcare is experiencing robust growth, projected to reach $12.85 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 14.43% from 2025 to 2033. This expansion is driven by several key factors. The increasing volume of patient data generated through electronic health records (EHRs) and wearable devices necessitates advanced analytics for improved clinical decision-making. Furthermore, a growing emphasis on value-based care and the need for better population health management are pushing healthcare providers and payers to adopt data analytics solutions. The rising adoption of cloud-based solutions offers scalability and cost-effectiveness, accelerating market growth. Descriptive, diagnostic, predictive, and prescriptive analytics are all gaining traction, with predictive and prescriptive analytics showing particularly strong growth as organizations aim to anticipate patient needs and optimize resource allocation. The major players like IBM, Philips, and Cerner are driving innovation and market penetration through strategic partnerships and technological advancements. The market segmentation reveals a strong preference for cloud-based delivery models due to their flexibility and accessibility. Diagnostic and predictive analytics segments are experiencing faster growth compared to descriptive analysis, reflecting the industry's increasing focus on proactive care and risk mitigation. Payers are significant adopters of clinical data analytics, leveraging the technology for fraud detection, risk assessment, and network optimization. However, concerns regarding data security, interoperability challenges, and the need for skilled professionals to interpret and utilize the complex analytics outputs represent notable restraints. Future growth will likely be fueled by further technological advancements such as artificial intelligence (AI) and machine learning (ML) integration, enhanced data security measures, and increasing government support for digital health initiatives. The North American market, particularly the United States, is expected to remain the dominant region due to its advanced healthcare infrastructure and higher adoption rates. This comprehensive report provides an in-depth analysis of the North America clinical data analytics in healthcare industry, covering the period from 2019 to 2033. It offers valuable insights into market size, growth drivers, challenges, and key players, utilizing data from the base year 2025 and estimating the market value up to 2033. The report meticulously examines market segmentation by mode of delivery (cloud, on-premise), analytics type (descriptive, diagnostic, predictive, prescriptive), and end-user (payers, providers). This report is essential for stakeholders seeking to understand and navigate this rapidly evolving market landscape. Recent developments include: June 2023: MRO Corp., a clinical data exchange The company said it has started a new technology solution. The company implemented a digital and automated process of requesting and delivering patient information between providers and payers by means of this solution. MRO aims at removing the manual burden and reducing friction between providers. Payer Exchange automates the labor-intensive work previously performed by hospital staff to streamline workflows., April 2023: TripleBlind, a US-based healthcare analytics company, announced the launch of three new healthcare-focused products. The new product offered by the company provides secure accessibility to sensitive data, allowing healthcare users to gain detailed insights while maintaining privacy and compliance.. Key drivers for this market are: Increasing Healthcare Spending, Increasing Adoption of Big Data in Healthcare. Potential restraints include: High Cost of Data Analytics Solutions. Notable trends are: Cloud to Witness Significant Growth.

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

Healthcare Data Analytics Market size was valued at USD 32.87 Billion in 2024 and is projected to reach USD 173.57 Billion by 2032, growing at a CAGR of 23.12% during the forecasted period 2026 to 2032.

The healthcare data analytics market is driven by the increasing need to enhance patient care quality, reduce healthcare costs, and streamline operations within healthcare facilities. With the growing volume of patient data generated from electronic health records (EHRs), wearable devices, and telemedicine, healthcare providers seek advanced analytics to gain actionable insights, improve patient outcomes, and optimize resource allocation. Government regulations promoting data-driven healthcare and value-based care models further accelerate adoption. Additionally, advancements in artificial intelligence (AI) and machine learning (ML) enable predictive analytics, aiding in early diagnosis, personalized treatment plans, and efficient disease management, which are crucial in an aging population.

The Global Healthcare Data Compliance Market Size Was Worth USD 3.2 Billion in 2023 and Is Expected To Reach USD 8.5 Billion by 2032, CAGR of 11.5% .

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.

Medline is a leading medical information and technology company that provides a vast array of healthcare solutions to professionals and consumers alike. Founded in 1959, Medline has established itself as a trusted and authoritative source of medical knowledge, with a presence in over 90 countries worldwide.

From pharmaceuticals and medical devices to healthcare technology and medical billing, Medline's extensive portfolio encompasses a wide range of products and services that cater to the needs of the medical community.

Healthcare Data Annotation Tools Market Size And Forecast

Healthcare Data Annotation Tools Market size was valued at USD 167.40 Million in 2023 and is projected to reach USD 719.15 Million by 2030, growing at a CAGR of 27.5% during the forecast period 2024-2030.

Global Healthcare Data Annotation Tools Market Drivers

The market drivers for the Healthcare Data Annotation Tools Market can be influenced by various factors. These may include:

Increased Use of AI in Healthcare: There is an increasing need for high-quality annotated data in healthcare due to the use of AI and machine learning for activities like diagnostics, medical imaging analysis, and predictive analytics. Labelled Medical Datasets Are Necessary: Labelled datasets are necessary for machine learning model training and validation. Tools for annotating healthcare data are essential for accurately labelling patient records, medical imaging, and other types of healthcare data. Technological Developments in Medical Imaging: New developments in medical imaging technologies, such CT and MRI scans, provide a lot of complex data. These photos can be labelled and annotated with the help of data annotation tools for AI model training. Drug Development and Discovery: Artificial Intelligence is being utilised in pharmaceutical research to find and develop new drugs. Training AI models in this domain requires annotated data on biological processes, molecular structures, and clinical trial details. Accurate Diagnosis Improvement: AI models that can help medical practitioners diagnose patients more accurately, detect diseases early, and improve patient outcomes can be developed thanks to annotated datasets. Personalised Health Care: AI models that are capable of analysing patient-specific data are necessary given the trend towards personalised treatment. Training algorithms to generate individualised treatment suggestions requires access to annotated healthcare data. Standards of Quality and Regulatory Compliance: Accurate and well-annotated datasets are necessary for model training and validation in order to comply with regulatory regulations and quality standards in the healthcare industry, guaranteeing the dependability and security of AI applications. Healthcare Record Digitization is Growing: Large volumes of data are produced by the digital transformation of healthcare records, particularly electronic health records (EHRs), which can be used for artificial intelligence (AI) applications. Tools for annotating data help get this data ready for analysis. Partnership Between Tech and Healthcare Companies: AI solutions are developed through partnerships between technology businesses and healthcare organisations. For these cooperative efforts to be successful, accurate data annotation is essential. Demand for Empirical Data: For AI applications in healthcare, real-world evidence—obtained from real clinical procedures and patient data—is invaluable. Annotated real-world data aids in the creation of reliable and broadly applicable models. Expanding Recognition of Telemedicine: Large datasets that can be annotated to train AI models for telehealth applications are produced by the growing use of telemedicine and remote healthcare services. Emphasis on Early Intervention and Disease Prevention: In line with the healthcare industry's emphasis on proactive healthcare, AI models trained on annotated data can support early intervention and illness prevention measures. Innovation and Market Competitiveness: Innovation in healthcare technology is stimulated by the competitive environment. Aiming to create state-of-the-art AI solutions, organisations are driving the need for superior annotated healthcare data.

1) Data Introduction • Hospital length of stay dataset is part of a hackathon organized by Analytics Vidhya, focusing on healthcare management challenges, particularly in optimizing hospital patient length of stay. This dataset includes detailed information on patient demographics, hospital attributes, and treatment details, which are critical for managing healthcare efficiency.

2) Data Utilization (1) Hospital length of stay data has characteristics that: • The dataset is structured to provide insights into various factors that affect the length of hospital stays. It contains data on numerous variables including patient age, medical conditions, previous admissions, and the type of hospital and care involved. • It supports predictive modeling to help hospitals improve service delivery by accurately forecasting patient stay durations and managing hospital bed occupancy and staffing needs more effectively. (2) Hospital length of stay data can be used to: • Hospital Management: The data can assist in strategic planning and resource allocation, helping hospitals reduce costs while maintaining high care standards. • Research in Healthcare Systems: It serves as a foundational dataset for academic and commercial research aimed at understanding and improving healthcare systems efficiency.

Preferred Medical is a leading healthcare organization that specializes in medical supplies, equipment, and services. With a rich history of delivering high-quality products and solutions, the company has established itself as a trusted partner for healthcare providers, patients, and medical professionals.

The company's extensive range of products includes medical devices, pharmaceuticals, and consumable supplies, which cater to a broad spectrum of medical disciplines. From diagnostic tools to surgical equipment, Preferred Medical's portfolio is designed to meet the evolving needs of the healthcare industry. With a commitment to excellence and customer satisfaction, the company continues to grow and expand its offerings to meet the demands of the rapidly changing healthcare landscape.

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!

United Healthcare Transparency in Coverage Dataset

Unlock the power of healthcare pricing transparency with our comprehensive United Healthcare Transparency in Coverage dataset. This invaluable resource provides unparalleled insights into healthcare costs, enabling data-driven decision-making for insurers, employers, researchers, and policymakers.

Key Features:

• Extensive Coverage: Access detailed pricing information for a wide range of medical procedures and services across the United States, covering approximately 76,000 employers.
• Granular Data: Analyze costs at the provider, plan, and employer levels, allowing for in-depth comparisons and trend analysis.
• Massive Scale: Over 400TB of data generated monthly, providing a wealth of information for comprehensive analysis.
• Historical Perspective: Track pricing changes over time to identify patterns and forecast future trends.
• Regular Updates: Stay current with the latest pricing information, ensuring your analyses are always based on the most recent data.

Detailed Data Points:

For each of the 76,000 employers, the dataset includes: 1. In-network negotiated rates for covered items and services 2. Historical out-of-network allowed amounts and billed charges 3. Cost-sharing information for specific items and services 4. Pricing data for medical procedures and services across providers, plans, and employers

Use Cases

For Insurers: - Benchmark your rates against competitors - Optimize network design and provider contracting - Develop more competitive and cost-effective insurance products

For Employers: - Make informed decisions about health plan offerings - Negotiate better rates with insurers and providers - Implement cost-saving strategies for employee healthcare

For Researchers: - Conduct in-depth studies on healthcare pricing variations - Analyze the impact of policy changes on healthcare costs - Investigate regional differences in healthcare pricing

For Policymakers: - Develop evidence-based healthcare policies - Monitor the effectiveness of price transparency initiatives - Identify areas for potential cost-saving interventions

Data Delivery

Our flexible data delivery options ensure you receive the information you need in the most convenient format:

• Custom Extracts: We can provide targeted datasets focusing on specific regions, procedures, or time periods.
• Regular Reports: Receive scheduled updates tailored to your specific requirements.

Why Choose Our Dataset?

1. Expertise: Our team has extensive experience in healthcare data retrieval and analysis, ensuring high-quality, reliable data.
2. Customization: We can tailor the dataset to meet your specific needs, whether you're interested in particular companies, regions, or procedures.
3. Scalability: Our infrastructure is designed to handle the massive scale of this dataset (400TB+ monthly), allowing us to provide comprehensive coverage without compromise.
4. Support: Our dedicated team is available to assist with data interpretation and technical support.

Harness the power of healthcare pricing transparency to drive your business forward. Contact us today to discuss how our United Healthcare Transparency in Coverage dataset can meet your specific needs and unlock valuable insights for your organization.

Healthcare Data Mesh Market Outlook

According to our latest research, the global Healthcare Data Mesh market size reached USD 1.82 billion in 2024 and is expected to grow at a robust CAGR of 19.4% from 2025 to 2033. By the end of 2033, the market is forecasted to reach USD 8.98 billion, driven by the increasing need for decentralized data architecture, enhanced interoperability, and the growing adoption of advanced analytics in healthcare. The proliferation of digital health records and the demand for real-time, actionable insights are among the primary growth drivers shaping the landscape of the healthcare data mesh market.

A significant growth factor for the healthcare data mesh market is the rapid digital transformation occurring across healthcare systems globally. With the exponential rise in healthcare data generated from electronic health records (EHRs), clinical trials, genomics, and patient monitoring devices, traditional centralized data architectures are struggling to scale efficiently. Healthcare data mesh offers a decentralized approach, allowing organizations to manage data as a product, enabling domain-oriented teams to own, share, and utilize data more effectively. This shift not only enhances data accessibility and quality but also accelerates the deployment of innovative healthcare solutions, such as personalized medicine and predictive analytics, thereby driving market growth.

Another key driver is the increasing emphasis on interoperability and compliance with healthcare regulations. Regulatory frameworks such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe mandate stringent data privacy and security measures. Healthcare data mesh platforms are designed to facilitate secure data sharing across multiple domains and stakeholders while maintaining compliance with regulatory standards. This capability is crucial for organizations seeking to leverage data-driven insights without compromising patient privacy or breaching legal requirements, further propelling the adoption of data mesh architectures in healthcare.

The integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), and cloud computing is also significantly influencing the healthcare data mesh market. These technologies empower healthcare organizations to derive actionable insights from vast and complex datasets, improving clinical outcomes, operational efficiency, and patient experiences. The scalability and flexibility offered by data mesh architectures enable seamless integration with AI and ML tools, facilitating real-time analytics and fostering innovation. As healthcare providers increasingly recognize the value of data-driven decision-making, investment in data mesh solutions is expected to surge, fueling sustained market expansion.

From a regional perspective, North America currently dominates the healthcare data mesh market, owing to its advanced healthcare infrastructure, significant investments in health IT, and a strong focus on data interoperability. However, Asia Pacific is witnessing the fastest growth, driven by the rapid digitalization of healthcare systems, expanding patient populations, and government initiatives to modernize healthcare data management. Europe also presents substantial opportunities, supported by robust regulatory frameworks and growing adoption of digital health technologies. As global healthcare organizations continue to prioritize data-centric strategies, the healthcare data mesh market is poised for remarkable growth across all major regions.

Component Analysis

The healthcare data mesh market by component is segmented into platforms, solutions, and services, each playing a critical role in the overall ecosystem. Platforms form the foundational layer, providing the necessary infrastructure for data mesh implementation. These platforms are designed to support decentralized data ownership, facilitate data discovery, and ensure seamless i

1) Data Introduction • The Healthcare Dataset is a synthetic dataset designed to mimic real-world healthcare data for data science, machine learning, and data analysis purposes. It includes patient information, medical conditions, admission details, and healthcare services provided. This dataset is ideal for developing and testing healthcare predictive models, practicing data manipulation techniques, and creating data visualizations.

2) Data Utilization (1) Healthcare data has characteristics that: • It includes detailed patient information such as age, gender, blood type, medical condition, and admission details. This information can be used to analyze healthcare trends, patient demographics, and the effectiveness of medical treatments. (2) Healthcare data can be used to: • Predictive Modeling: Helps in developing models to predict patient outcomes, treatment success rates, and disease progression. • Healthcare Analytics: Assists in analyzing patient data to identify patterns, improve patient care, and optimize resource allocation. • Educational Purposes: Supports learning and teaching data science concepts in a healthcare context, providing realistic data for experimentation and practice.

The European healthcare big data analytics market is experiencing robust growth, driven by the increasing volume of patient data generated from electronic health records (EHRs), wearables, and other connected health devices. A compound annual growth rate (CAGR) of 19% from 2019 to 2024 suggests a significant market expansion, and this momentum is projected to continue through 2033. Key drivers include the rising prevalence of chronic diseases necessitating improved disease management, the increasing demand for personalized medicine, and government initiatives promoting the adoption of digital health technologies across Europe. The market is segmented by technology type (predictive, prescriptive, and descriptive analytics), application (clinical, financial, and operational data analytics), product (hardware, software, and services), mode of delivery (on-premise and cloud-based), and end-user (healthcare providers, pharmaceutical companies, biotechnology firms, and academic organizations). The strong presence of major players like SAS Institute, IBM, and McKesson underscores the market's maturity and competitive landscape. Specific regional growth within Europe will likely be influenced by factors such as national healthcare policies, digital infrastructure development, and data privacy regulations, with countries like the United Kingdom, Germany, and France expected to lead the market due to their advanced healthcare systems and substantial investments in digital health initiatives. The cloud-based model is expected to dominate the market due to its scalability, cost-effectiveness, and accessibility. Predictive analytics, enabling proactive interventions and risk stratification, is gaining significant traction, particularly within the clinical data analytics segment. However, challenges such as data interoperability issues, concerns around data security and privacy (GDPR compliance being particularly relevant in Europe), and the high cost of implementation could potentially restrain market growth. Nevertheless, the overall outlook for the European healthcare big data analytics market remains positive, promising substantial opportunities for technology providers and healthcare organizations alike to improve patient care, optimize operational efficiency, and drive innovation in healthcare delivery. The market’s size in 2025 is estimated at €X billion (a figure readily obtainable through market research databases given the specified CAGR and available historical data), providing a strong base for future growth projections. This report provides a detailed analysis of the burgeoning Europe healthcare big data analytics market, projecting its growth from 2019 to 2033. With a base year of 2025 and an estimated market value of XXX million, this study offers invaluable insights for stakeholders across the healthcare ecosystem. We delve into market segmentation, competitive landscape, and key trends shaping this dynamic sector, empowering businesses to make informed strategic decisions. The report covers the period from 2019 to 2024 (historical period), with a forecast period spanning 2025 to 2033. Recent developments include: May 2022 : The European Health Data Space was introduced by the European Commission (EHDS). The EHDS should assist the EU in significantly improving how healthcare is supplied to people throughout Europe. People should be able to manage and use their health information in their nation or another Member State. It should promote a single market for services and goods related to digital health. Additionally, it should guarantee complete adherence to the stringent data protection requirements set by the EU and provide a consistent, reliable, and effective framework for using health data for research, innovation, policy-making, and regulatory activities., November 2022 : The largest health services provider in Israel, Clalit, and IQVIA, a leading global provider of advanced analytics, technological solutions, and clinical research services to the life sciences sector, have announced a long-term partnership. The partnership assures IQVIA it can meet the pharmaceutical industry's interest in Israel as a top location for research and innovation by combining Clalit's aim to improve policy and healthcare with IQVIA's Connected Intelligence.. Key drivers for this market are: Reduced Cost of Care and Prediction of Possible Emergency Services, Increasing Evidence-based Activities and Shift from Volume- to Value-based Commissioning. Potential restraints include: Maintaining the Privacy and Integrity of Patient Data. Notable trends are: Clinical Data Analytics to Witness Significant Growth Over the Forecast Period.

The Medicare Electronic Health Record (EHR) Incentive Program provides incentives to eligible clinicians and hospitals to adopt electronic health records. This dataset combines meaningful use attestations from the Medicare EHR Incentive Program and certified health IT product data from the ONC Certified Health IT Product List (CHPL) to identify the unique vendors, products, and product types of each certified health IT product used to attest to meaningful use. The dataset also includes important provider-specific data, related to the provider's participation and status in the program, unique provider identifiers, and other characteristics unique to each provider, like geography and provider type.

All of the data used on the Finder.HealthCare.gov web application is available through this API. There are multiple collections of data available through the API.
1. Public Options Data - This data set includes Medicaid, CHIP, High Risk and Territory data along with all of the other public options available. The appropriate options are returned based on the criteria submitted in the API call.
2. Individual and Family Health Insurance Options Data - Paginated individual and family health insurance plan data, a subset of the full plan data including pricing, is returned for plans that match the criteria submitted in the API call for available plans. Full plan data is returned when a specific plan is requested with all appropriate criteria.
3. Small Group Insurance Options Data - Paginated Small Group health insurance product data, a subset of the full product data including pricing, is returned for products that match the criteria submitted in the API call for available products. Full product data is returned when a specific product is requested with all appropriate criteria.

The Office of Enterprise Data and Analytics, within the Centers for Medicare aqnd Medicaid Services (CMS), has developed a set of information products and analytics examining enrollment activity in the Health Insurance Marketplaces (the Marketplaces). The Marketplaces were established in 2014 and allow individuals to shop for health insurance and dental plans. While some of the data products available here include data for all 50 states and the District of Columbia, other products focus only on states that utilize the Healthcare.gov platform (38 states in 2016). Each product clearly defines the population. Caution is recommended when comparing annual data as the definitions for some variables have changed from one reporting period to another. These changes are noted in the affected products.

Big Data Analytics in Healthcare Market by Component (Software, Hardware, Services [Descriptive, Prescriptive, Diagnostic]), Deployment (On-premise, Cloud), Application (Clinical, Financial, Operational, Population Health), and End User - Global Forecast to 2032