Abstract The Medical Information Mart for Intensive Care (MIMIC)-IV database is comprised of deidentified electronic health records for patients admitted to the Beth Israel Deaconess Medical Center. Access to MIMIC-IV is limited to credentialed users. Here, we have provided an openly-available demo of MIMIC-IV containing a subset of 100 patients. The dataset includes similar content to MIMIC-IV, but excludes free-text clinical notes. The demo may be useful for running workshops and for assessing whether the MIMIC-IV is appropriate for a study before making an access request.

Background The increasing adoption of digital electronic health records has led to the existence of large datasets that could be used to carry out important research across many areas of medicine. Research progress has been limited, however, due to limitations in the way that the datasets are curated and made available for research. The MIMIC datasets allow credentialed researchers around the world unprecedented access to real world clinical data, helping to reduce the barriers to conducting important medical research. The public availability of the data allows studies to be reproduced and collaboratively improved in ways that would not otherwise be possible.

Methods First, the set of individuals to include in the demo was chosen. Each person in MIMIC-IV is assigned a unique subject_id. As the subject_id is randomly generated, ordering by subject_id results in a random subset of individuals. We only considered individuals with an anchor_year_group value of 2011 - 2013 or 2014 - 2016 to ensure overlap with MIMIC-CXR v2.0.0. The first 100 subject_id who satisfied the anchor_year_group criteria were selected for the demo dataset.

All tables from MIMIC-IV were included in the demo dataset. Tables containing patient information, such as emar or labevents, were filtered using the list of selected subject_id. Tables which do not contain patient level information were included in their entirety (e.g. d_items or d_labitems). Note that all tables which do not contain patient level information are prefixed with the characters 'd_'.

Deidentification was performed following the same approach as the MIMIC-IV database. Protected health information (PHI) as listed in the HIPAA Safe Harbor provision was removed. Patient identifiers were replaced using a random cipher, resulting in deidentified integer identifiers for patients, hospitalizations, and ICU stays. Stringent rules were applied to structured columns based on the data type. Dates were shifted consistently using a random integer removing seasonality, day of the week, and year information. Text fields were filtered by manually curated allow and block lists, as well as context-specific regular expressions. For example, columns containing dose values were filtered to only contain numeric values. If necessary, a free-text deidentification algorithm was applied to remove PHI from free-text. Results of this algorithm were manually reviewed and verified to remove identified PHI.

Data Description MIMIC-IV is a relational database consisting of 26 tables. For a detailed description of the database structure, see the MIMIC-IV Clinical Database page [1] or the MIMIC-IV online documentation [2]. The demo shares an identical schema and structure to the equivalent version of MIMIC-IV.

Data files are distributed in comma separated value (CSV) format following the RFC 4180 standard [3]. The dataset is also made available on Google BigQuery. Instructions to accessing the dataset on BigQuery are provided on the online MIMIC-IV documentation, under the cloud page [2].

An additional file is included: demo_subject_id.csv. This is a list of the subject_id used to filter MIMIC-IV to the demo subset.

Usage Notes The MIMIC-IV demo provides researchers with the opportunity to better understand MIMIC-IV data.

CSV files can be opened natively using any text editor or spreadsheet program. However, as some tables are large it may be preferable to navigate the data via a relational database. We suggest either working with the data in Google BigQuery (see the "Files" section for access details) or creating an SQLite database using the CSV files. SQLite is a lightweight database format which stores all constituent tables in a single file, and SQLite databases interoperate well with a number software tools.

Code is made available for use with MIMIC-IV on the MIMIC-IV code repository [4]. Code provided includes derivation of clinical concepts, tutorials, and reproducible analyses.

Release Notes Release notes for the demo follow the release notes for the MIMIC-IV database.

Ethics This project was approved by the Institutional Review Boards of Beth Israel Deaconess Medical Center (Boston, MA) and the Massachusetts Institute of Technology (Cambridge, MA). Requirement for individual patient consent was waived because the pr...

The predictive analytics in healthcare market is experiencing robust growth, fueled by the increasing volume of healthcare data, advancements in machine learning algorithms, and the rising need for improved patient outcomes and operational efficiency. The market, currently valued at an estimated $XX million in 2025 (assuming a logical extrapolation based on the provided CAGR of 9.80% and a plausible starting market size), is projected to reach $YY million by 2033. This significant expansion is driven primarily by the adoption of predictive analytics across various applications, including clinical data analytics for disease prediction and personalized medicine, financial data analytics for cost optimization and risk management, and research data analytics for accelerating drug discovery and clinical trials. The integration of predictive analytics into operational management further streamlines workflows and improves resource allocation within healthcare organizations. The market's growth is also being propelled by the increasing availability of cloud-based solutions, offering scalability and accessibility to a wider range of healthcare providers and pharmaceutical companies. Several factors, however, pose challenges to market expansion. Data security and privacy concerns remain a significant hurdle, requiring robust data protection measures to ensure compliance with regulations like HIPAA. The complexity of implementing and integrating predictive analytics solutions within existing healthcare IT infrastructures can also hinder adoption, particularly in smaller organizations with limited resources. Furthermore, the lack of skilled professionals capable of developing, deploying, and interpreting predictive models poses a limitation to widespread implementation. Despite these challenges, the long-term outlook for the predictive analytics in healthcare market remains positive, driven by ongoing technological advancements, increasing data availability, and the growing focus on value-based care models, all demanding enhanced predictive capabilities for better informed decision-making. The market segmentation by application, product, mode of delivery and end-user reflects the diverse applications and deployment models currently prevalent and expected to grow over the forecast period. Key drivers for this market are: , Emergence of Personalized and Evidence-based Medicine; Growing Need of Increasing Efficiency in Healthcare Sector; Increasing Demand to Curtail Healthcare Costs by Reducing Unnecessary Costs. Potential restraints include: , Emergence of Personalized and Evidence-based Medicine; Growing Need of Increasing Efficiency in Healthcare Sector; Increasing Demand to Curtail Healthcare Costs by Reducing Unnecessary Costs. Notable trends are: Clinical Data Analytics is expected to Witness Lucrative Growth.

The Enterprise Class Managed File Transfer (MFT) market is experiencing robust growth, driven by increasing concerns around data security, regulatory compliance (like GDPR and HIPAA), and the need for efficient and reliable data exchange in a globally interconnected business environment. The market size in 2025 is estimated at $2.5 billion, projecting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant growth is fueled by several key trends, including the rise of cloud-based MFT solutions, the increasing adoption of automation and orchestration tools for file transfers, and the growing demand for secure file sharing across hybrid and multi-cloud environments. Large enterprises, particularly in heavily regulated industries like finance and healthcare, are the primary adopters of these sophisticated solutions, emphasizing the importance of system-centric file transfer capabilities. However, the market also witnesses significant adoption of people-centric file transfer solutions tailored for improved collaboration and ease of use. The growth trajectory is expected to remain strong throughout the forecast period, reaching an estimated $7 billion by 2033. This continued expansion is anticipated due to the growing complexity of data management needs, including expanding data volumes and the increasing number of geographically dispersed teams. While the initial investment in MFT solutions can be substantial, the long-term benefits in terms of improved security, compliance, and operational efficiency significantly outweigh the costs. Potential restraints, including the complexity of integrating MFT solutions with existing legacy systems and the ongoing need for skilled IT personnel to manage these systems, are projected to have a limited impact on the overall market growth due to the availability of user-friendly solutions and robust support services from established vendors.

The global Healthcare Commercial Intelligence Software market is experiencing robust growth, projected to reach a substantial size and maintain a steady Compound Annual Growth Rate (CAGR) of 5% between 2025 and 2033. This expansion is driven by several key factors. The increasing adoption of cloud-based solutions offers scalability and cost-effectiveness, attracting both large hospital systems and smaller clinics. Furthermore, the rising demand for data-driven decision-making in healthcare, coupled with the proliferation of electronic health records (EHRs), fuels the need for sophisticated analytics tools. The market's segmentation reflects this, with significant growth anticipated in both cloud-based and on-premises deployments across hospitals, clients, and other healthcare organizations. Key market players are continuously innovating to meet evolving demands, offering features such as predictive analytics, real-time dashboards, and integrated reporting capabilities. Competitive pressures are driving advancements in user experience, data visualization, and integration with existing healthcare IT infrastructure. Geographic expansion, particularly in regions with developing healthcare infrastructure and increasing digitalization, presents substantial opportunities. While the market enjoys significant growth, some challenges persist. Data security and privacy concerns remain paramount, requiring robust compliance with regulations such as HIPAA. The integration complexity of commercial intelligence software with diverse legacy systems in healthcare settings can pose implementation challenges. Additionally, the high cost of implementation and ongoing maintenance can be a barrier for smaller organizations, especially in regions with limited healthcare budgets. However, the overall positive trajectory of the market is undeniable, largely driven by the strategic importance of data-driven insights in improving healthcare outcomes, optimizing resource allocation, and enhancing overall efficiency. The increasing volume of healthcare data, coupled with the growing awareness of its potential value, positions this market for continued expansion in the coming years.

Provider-Provider and Organization-Organization networks created with different algorithms from the Medicare Part B 2013 Limited Claims Data Set. These files are of the form:{NPI1, NPI2, shared patients, total visits for shared patients}All networks are HIPAA compliant, censored for total shared patients greater than or equal to 11 patients. Networks are named for the algorithm used to produce them, whether they are provider-provider or organization-organization networks, and the temporal frame parameter {30, 60, 90, 180, 365 days}.

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Concierge Medicine Market Size 2025-2029

The concierge medicine market size is forecast to increase by USD 8.86 billion, at a CAGR of 7.5% between 2024 and 2029.

The market is driven by the high prevalence of chronic diseases, particularly cardiovascular diseases (CVD), and the integration of advanced technologies to enhance patient care. This market trend signifies a shift towards personalized healthcare services, catering to patients' unique needs and preferences. However, challenges persist, including limited accessibility and affordability, particularly in developing countries. These obstacles hinder the expansion of concierge medicine, requiring innovative solutions to reach a broader population base and ensure equitable healthcare access. Companies seeking to capitalize on market opportunities must navigate these challenges effectively, leveraging technology to improve efficiency and affordability while maintaining a patient-centric approach. By addressing these challenges and embracing the market's dynamics, players can position themselves for long-term growth and success in the evolving healthcare landscape.

What will be the Size of the Concierge Medicine 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 SampleThe market continues to evolve, integrating various sectors to deliver personalized and comprehensive healthcare solutions. Healthcare compliance and wellness plans are at the forefront, ensuring regulatory adherence and promoting proactive health management. Data security and analytics are crucial components, safeguarding sensitive patient information and providing insights for targeted interventions. Wearable health tech, lifestyle coaching, and house calls offer convenience and accessibility, while referral networks and retention rates foster patient loyalty. On-site labs and integrative medicine cater to holistic care, addressing chronic disease management, functional medicine, and specialized testing. Virtual consultations and billing and coding solutions streamline operations, enabling concierge physicians, physician assistants, nurse practitioners, and mental health services to focus on patient care. Quality assurance, risk management, and pricing strategies ensure the sustainability of these services, with HIPAA compliance, genetic testing, and appointment scheduling addressing patient privacy and convenience. Preventive screening, executive health programs, and patient satisfaction are key performance indicators, driving the market's continuous growth. Data analytics and revenue cycle management optimize practice operations, enabling concierge medicine to offer advanced diagnostics, stress management, patient advocacy, and personalized nutrition. Insurance negotiation, patient portals, and medical billing further enhance the patient experience, ensuring seamless integration of these services into the healthcare landscape.

How is this Concierge Medicine Industry segmented?

The concierge medicine 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. ApplicationPrimary carePediatricCardiologyInternal medicineOthersOwnershipGroupStandaloneGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW)

By Application Insights

The primary care segment is estimated to witness significant growth during the forecast period.The market in the US is witnessing notable growth in the primary care segment. This segment's expansion is driven by the rising demand for personalized healthcare services that offer patients unparalleled access to their physicians through membership or annual fee models. Concierge medicine, also known as retainer-based or boutique medicine, prioritizes patient care through longer consultation times, specialized testing, functional medicine, health risk assessments, chronic disease management, and preventive screening. Functional medicine, physical therapy, occupational therapy, and mental health services are integral components of concierge medicine, ensuring holistic care for patients. Membership programs offer liability coverage, patient advocacy, and personalized nutrition plans, while medical malpractice insurance, HIPAA compliance, and revenue cycle management ensure quality assurance. Integrative medicine, including house calls, referral networks, and virtual consultations, is gaining popularity, as is the use of advanced diagnostics, billing and coding, and patient portals. Wearable health tech, lifestyle coaching, and data analytics are also transforming the industry, enabling personalized medicine and pain management. Executive health

The advent of large, open access text databases has driven advances in state-of-the-art model performance in natural language processing (NLP). The relatively limited amount of clinical data available for NLP has been cited as a significant barrier to the field's progress. Here we describe MIMIC-IV-Note: a collection of deidentified free-text clinical notes for patients included in the MIMIC-IV clinical database. MIMIC-IV-Note contains 331,794 deidentified discharge summaries from 145,915 patients admitted to the hospital and emergency department at the Beth Israel Deaconess Medical Center in Boston, MA, USA. The database also contains 2,321,355 deidentified radiology reports for 237,427 patients. All notes have had protected health information removed in accordance with the Health Insurance Portability and Accountability Act (HIPAA) Safe Harbor provision. All notes are linkable to MIMIC-IV providing important context to the clinical data therein. The database is intended to stimulate research in clinical natural language processing and associated areas.

Healthcare Cloud Picture Archiving & Communications System Market Outlook

According to our latest research, the global Healthcare Cloud Picture Archiving & Communications System (PACS) market size reached USD 2.85 billion in 2024, and is expected to grow at a robust CAGR of 13.1% from 2025 to 2033. By the end of 2033, the market is projected to attain a value of USD 8.46 billion. The primary growth driver for the Healthcare Cloud PACS market is the increasing adoption of cloud-based healthcare IT solutions, which enhance medical imaging management, streamline workflows, and improve data accessibility across healthcare organizations globally.

One of the most significant growth factors propelling the Healthcare Cloud PACS market is the rising demand for advanced diagnostic imaging technologies in both developed and developing regions. Healthcare providers are increasingly transitioning from traditional on-premises PACS to cloud-based solutions due to their scalability, cost-effectiveness, and ability to facilitate remote access to critical patient data. The surge in chronic diseases, coupled with the growing geriatric population, has amplified the need for efficient image storage, retrieval, and sharing, which cloud PACS systems address effectively. Furthermore, the COVID-19 pandemic accelerated digital transformation in healthcare, pushing organizations to adopt cloud-based platforms to ensure continuity of care and collaboration among medical professionals, even in remote or resource-limited settings.

Another key driver is the integration of artificial intelligence (AI) and machine learning (ML) technologies with cloud PACS platforms. AI-powered tools enhance image analysis, automate routine tasks, and provide clinical decision support, thereby reducing diagnostic errors and improving patient outcomes. This integration not only boosts the efficiency of radiologists and clinicians but also ensures that large volumes of imaging data are managed securely and efficiently. Additionally, regulatory mandates for maintaining electronic health records (EHRs) and ensuring data interoperability have further encouraged healthcare organizations to shift towards cloud-based PACS, which offer seamless integration with other healthcare IT systems and support compliance with data privacy standards such as HIPAA and GDPR.

The Healthcare Cloud PACS market also benefits from the increasing investments in healthcare infrastructure and the expansion of telemedicine services. As healthcare providers seek to expand their reach and offer specialized imaging services to rural and underserved populations, cloud PACS solutions are becoming indispensable. These systems enable real-time collaboration between specialists, facilitate second opinions, and support multidisciplinary care teams, ultimately leading to improved patient care and operational efficiencies. The growing acceptance of cloud computing in healthcare, coupled with continuous advancements in network connectivity and cybersecurity, is expected to sustain the upward trajectory of the Healthcare Cloud PACS market throughout the forecast period.

Regionally, North America dominates the Healthcare Cloud PACS market, owing to its advanced healthcare infrastructure, high adoption rate of digital health technologies, and favorable government initiatives. Europe follows closely, driven by stringent data protection regulations and increasing investments in healthcare IT modernization. The Asia Pacific region is witnessing the fastest growth, fueled by expanding healthcare access, rising awareness about digital health solutions, and significant government support for healthcare digitization. Latin America and the Middle East & Africa are also experiencing steady growth, supported by ongoing healthcare reforms and efforts to enhance medical imaging services in emerging economies.

Component Analysis

The Healthcare Cloud PACS market is segmented by component into software, hardware, and services, each playing a pivotal role i

Health Care Cloud and Hosting Market Outlook

The healthcare cloud and hosting market size is projected to grow significantly, with a compound annual growth rate (CAGR) of approximately 17% from 2024 to 2032. In 2023, the global market was valued at around USD 35 billion, and it is forecasted to reach over USD 115 billion by 2032. This substantial growth can be attributed to the increasing adoption of digital health technologies, the need for cost-effective healthcare solutions, and the continuous advancements in cloud computing. Furthermore, the integration of artificial intelligence and machine learning into healthcare cloud platforms is expected to enhance data analytics capabilities, leading to improved patient care and operational efficiency.

The growth of the healthcare cloud and hosting market is driven by several key factors. First, the rising demand for interoperability and seamless data exchange across healthcare systems is pushing organizations towards cloud-based solutions. As healthcare providers aim to improve patient outcomes and streamline operations, cloud computing offers a scalable and flexible infrastructure that can efficiently handle large volumes of data. Additionally, the increasing pressure on healthcare systems to reduce costs while delivering high-quality care is prompting the adoption of cloud solutions, which offer significant cost savings compared to traditional on-premises systems. Another crucial factor is the growing need for data security and privacy, which the cloud can address through advanced encryption and compliance with stringent regulations such as HIPAA.

Moreover, the ongoing digital transformation within the healthcare sector is a significant catalyst for market growth. With the proliferation of telehealth and remote patient monitoring, the demand for efficient data storage, retrieval, and processing has surged. Cloud platforms provide the necessary infrastructure to support these technologies, enabling healthcare providers to offer virtual care services and improve patient engagement. Additionally, the integration of Internet of Things (IoT) devices into healthcare systems is generating vast amounts of data, which requires robust cloud-based solutions for analysis and decision-making. As a result, healthcare organizations are increasingly turning to cloud providers to manage and process this data effectively.

Furthermore, the expansion of healthcare services in emerging economies is contributing to the growth of the healthcare cloud and hosting market. Countries in the Asia Pacific and Latin America regions are investing heavily in healthcare infrastructure and technology to improve access and quality of care. The adoption of cloud-based solutions is seen as a way to overcome the challenges of limited resources and infrastructure, allowing these regions to leapfrog traditional systems and implement cutting-edge technologies. This trend is expected to drive significant market growth as more healthcare providers in these regions embrace cloud computing to enhance their capabilities and reach underserved populations.

Healthcare Cloud Based Analytics is becoming increasingly vital as the healthcare industry shifts towards data-driven decision-making. By leveraging cloud-based analytics, healthcare providers can gain deeper insights into patient data, leading to more informed clinical decisions and personalized treatment plans. This approach not only enhances patient outcomes but also optimizes operational efficiencies by identifying trends and patterns that may not be immediately apparent through traditional data analysis methods. Furthermore, cloud-based analytics platforms offer scalability and flexibility, allowing healthcare organizations to process large volumes of data from various sources, including electronic health records (EHRs), wearable devices, and IoT sensors. As the demand for real-time data analytics grows, healthcare providers are increasingly adopting cloud-based solutions to stay competitive and deliver high-quality care.

Service Type Analysis

The healthcare cloud and hosting market by service type is categorized into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS offers healthcare organizations the ability to rent virtualized computing resources over the internet, which is particularly beneficial for handling large datasets and computational workloads. This service type allows healthcare providers to scale their operations without the need for costly phy

Background: An alternative to population-based genetic testing, automated cascade genetic testing facilitated by sharing of family health history, has been conceptualized as a more efficient and cost-effective approach to identify hereditary genetic conditions. However, existing software and applications programming interfaces (API) for the practical implementation of this approach in health care settings have not been described.Methods: We reviewed API available for facilitating cascade genetic testing in electronic health records (EHRs). We emphasize any information regarding informed consent as provided for each tool. Using semi-structured key informant interviews, we investigated uptake of and barriers to integrating automated family cascade genetic testing into the EHR.Results: We summarized the functionalities of six tools related to utilizing family health history to facilitate cascade genetic testing. No tools were explicitly capable of facilitating family cascade genetic testing, but few enterprise EHRs supported family health history linkage. We conducted five key informant interviews with four main considerations that emerged including: 1) incentives for interoperability, 2) HIPAA and regulations, 3) mobile-app and alternatives to EHR deployment, 4) fundamental changes to conceptualizing EHRs.Discussion: Despite the capabilities of existing technology, limited bioinformatic support has been developed to automate processes needed for family cascade genetic testing and the main barriers for implementation are nontechnical, including an understanding of regulations, consent, and workflow. As the trade-off between cost and efficiency for population-based and family cascade genetic testing shifts, the additional tools necessary for their implementation should be considered.

The advent of large, open access text databases has driven advances in state-of-the-art model performance in natural language processing (NLP). The relatively limited amount of clinical data available for NLP has been cited as a significant barrier to the field's progress. Here we describe MIMIC-IV-Note: a collection of deidentified free-text clinical notes for patients included in the MIMIC-IV clinical database. MIMIC-IV-Note contains 331,794 deidentified discharge summaries from 145,915 patients admitted to the hospital and emergency department at the Beth Israel Deaconess Medical Center in Boston, MA, USA. The database also contains 2,321,355 deidentified radiology reports for 237,427 patients. All notes have had protected health information removed in accordance with the Health Insurance Portability and Accountability Act (HIPAA) Safe Harbor provision. All notes are linkable to MIMIC-IV providing important context to the clinical data therein. The database is intended to stimulate research in clinical natural language processing and associated areas.

U.S Medical Paper Market size was valued at USD 4,541.82 Million in 2023 and is projected to reach USD 6,101.03 Million by 2031, growing at a CAGR of 3.76% from 2024 to 2031.

U.S Medical Paper Market Overview

The aging of the population, the development of chronic diseases, and improvements in medical technology contribute to the global increase in healthcare spending. This fuels the need for medical paper products used in patient care, diagnosis, and recordkeeping. Healthcare institutions are subject to strict regulations from regulatory organizations concerning patient safety, infection control, and paperwork. Adopting certain medical paper products is fueled by compliance with laws such as the Food and Drug Administration's (FDA) requirements and the Health Insurance Portability and Accountability Act (HIPAA), supporting market growth. Specialized paper products used in diagnostic testing, imaging procedures, and electronic health records (EHRs) are made possible by advancements in medical technology and diagnostic imaging techniques. These developments fuel the need for superior chart paper, diagnostic paper, and documentation materials.

Healthcare institutions have limited funds and financial strain, making replacing outdated systems or investing in new paper-based products challenging. Cost factors could force people to switch to less expensive options or put off purchasing medical paper goods. Because the healthcare sector uses so many disposable paper products, the environment is concerned about pollution, waste production, and deforestation. Healthcare facilities may look for eco-friendly alternatives or reduce paper use in response to growing awareness of sustainability and environmental conservation, which could affect market growth.