The Healthcare Provider Cost Report Information System (HCRIS) contains annual reports submitted by Medicare-certified institutional providers to Medicare Administrative Contractors (MAC). This dataset contains all numeric data reported on a cost report such as costs, charges, ratios, number of beds, etc.

The Skilled Nursing Facility (SNF) Cost Report dataset is a public use file that provides select measures from the skilled nursing facility annual cost report. This data includes provider information such as facility characteristics, utilization data, cost and charges by cost center (in total and for Medicare), Medicare settlement data, and financial statement data organized by CMS Certification Number.

The Hospital Provider Cost Report dataset provides select measures from the hospital annual cost report. This data includes provider information such as facility characteristics, utilization data, cost and charges by cost center (in total and for Medicare), Medicare settlement data, and financial statement data organized by CMS Certification Number.

The Healthcare Provider Cost Report Information System (HCRIS) contains annual reports submitted by Medicare-certified institutional providers to Medicare Administrative Contractors (MAC). This dataset contains all alpha data reported on a cost report such as hospital name, address, dates, and questions that require a ‘yes’ response.

The dataset, HHA Cost Report Data 2020-2022 has information on the Home Health Agency (HHA) cost reports received by Healthcare Cost Report Information System (HCRIS). This dataset is one among the 4 files in Home Health Agency (HHA) cost reports, the HHA Cost Alphanumeric Data 2020-2022, HHA Cost Numeric Data 2020-2022, HHA Cost Report Data 2020-2022 and HHA Cost Rollup Data 2020-2022.

This version of the Institutional Cost Report (ICR) has been audited by a Certified Public Accounting Firm. The ICR is a uniform report completed by New York State hospitals to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations, (Part 86-1.2), Article 28 hospitals are required to file financial and statistical data with DOH annually. The data filed is part of the ICR and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends. For more information, check out: http://www.health.ny.gov/facilities/hospital/index.htm

This dataset Healthcare Cost Report Information System (HCRIS) contains cost and statistical data for free-standing Hospice providers. The dataset includes only the most precise version of each cost report from 1999 to 2014.

The Institutional Cost Report (ICR) is a uniform report completed by New York hospitals to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations, (Part 86-1.2), Article 28 hospitals are required to file financial and statistical data with DOH annually. The data filed is part of the ICR and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends. The ICR is a comprehensive compilation of exhibits that have been modified over time that users should consider when using the ICR dataset. It is possible that data is updated subsequent to posting on this website; therefore the data could become obsolete. To get the details related to the exhibits and data elements, please refer to the blank ICR form, the ICR Table of Contents, the ICR Instructions and the Glossary of Terms, Acronyms, and Abbreviations which are in the Supporting Information section of this site. The data posted as edited contains desk edit adjustments by DOH personnel. In 2009, this information was not audited; however effective with the 2010 ICR, all ICRs will be audited by a Certified Public Accounting Firm annually.

The Nursing Home Cost Report (RHCF) is a uniform report completed by New York nursing homes to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations (Part 86-2.2), nursing homes are required to file financial and statistical data with DOH annually. The data filed is part of the cost report and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends.

The Monthly Program Cost Report (MPCR) replaces the Cost Distribution Report (CDR). The MPCR provides summary information about Veterans Affairs operational costs, Full Time Equivalents (FTE), and workload (number of patient bed days, outpatient clinic stops, etc.). MPCR receives financial data feeds from Decision Support System and workload data feeds from National Patient Care Database, Home Based Primary Care and Veterans Health Administration (VHA) Work Measurement in order to provide the VHA with a flexible cost reporting system. The MPCR is assembled from information from all Veterans Affairs Medical Centers (VAMCs). MPCR is processed monthly and consists of two reports: station level and a national level rollup. These two reports are available to users via Roger's Software Development (RSD) on the Austin Information Technology Center mainframe and CD ROM. The primary users of MPCR are the VAMC staff, VHA Budget Office, Medical Care Cost Recovery, and Deputy Assistant Secretary for Budget.

The PC Pricer is a tool used to estimate Medicare PPS payments. The final payment may not be precise to how payments are determined in the Medicare claims processing system due to the fact that some data is factored in the PC Pricer payment amount that is paid by Medicare via provider cost reports.

WA-APCD - Washington All-Payer Claims Database

The WA-APCD is the state’s most complete source of health care eligibility, medical claims, pharmacy claims, and dental claims insurance data. It contains claims from more than 50 data suppliers, spanning commercial, Medicaid, and Medicare managed care. The WA-APCD has historical claims data for five years (2013-2017), with ongoing refreshes scheduled quarterly. Workers' compensation data from the Washington Department of Labor & Industries will be added in fall 2018.

Download the attachment for the data dictionary and more information about WA-APCD and the data.

The Nursing Home Cost Report (RHCF) is a uniform report completed by New York nursing homes to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations (Part 86-2.2), nursing homes are required to file financial and statistical data with DOH annually. The data filed is part of the cost report and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends.

The Nursing Home Cost Report (RHCF) is a uniform report completed by New York nursing homes to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations (Part 86-2.2), nursing homes are required to file financial and statistical data with DOH annually. The data filed is part of the cost report and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends.

Hospital Price Compare App Market Outlook

According to our latest research, the global hospital price compare app market size reached USD 1.72 billion in 2024, demonstrating robust digital transformation in healthcare transparency tools. Driven by regulatory mandates and consumer demand for price transparency, the market is expanding at a CAGR of 15.4% from 2025 to 2033. By 2033, the hospital price compare app market is projected to reach USD 5.65 billion. The growth of this market is primarily fueled by increasing adoption of digital health solutions, rising healthcare costs, and the pressing need for transparency in medical billing and pricing.

One of the key growth factors propelling the hospital price compare app market is the global push for healthcare price transparency. Governments and regulatory bodies, especially in developed regions, are introducing mandates that require hospitals to disclose pricing information to the public. This regulatory environment has created fertile ground for hospital price compare apps, which aggregate and present complex pricing data in user-friendly formats for patients, providers, and payers. These apps are becoming essential tools for empowering patients to make informed choices about their healthcare expenditures, thereby driving adoption across diverse healthcare settings. Furthermore, the rising trend of consumerism in healthcare, where patients are increasingly acting as informed buyers, is amplifying the demand for such solutions.

Another significant driver is the rapid technological advancement in mobile and web-based platforms. The proliferation of smartphones and high-speed internet access has made it easier for patients and healthcare stakeholders to access real-time hospital price data. The integration of artificial intelligence, machine learning, and advanced analytics within these apps has further enhanced their capabilities, enabling personalized recommendations, predictive cost estimations, and seamless comparisons across various hospitals and services. This technological evolution is not only improving user experience but also attracting investments from both established healthcare IT players and new entrants, thereby accelerating market growth.

Additionally, the escalating cost of healthcare services worldwide is compelling patients and insurance providers to seek cost-effective treatment options. Hospital price compare apps bridge the information gap and facilitate price-based competition among hospitals, ultimately promoting transparency and cost reduction. Employers and insurance companies are also leveraging these apps to guide their beneficiaries towards high-quality, lower-cost providers, thereby optimizing healthcare spending. As healthcare systems globally transition towards value-based care models, the strategic importance of price comparison tools is expected to intensify, further fueling market expansion.

The emergence of Healthcare Price Transparency Solutions is revolutionizing the way patients and healthcare providers interact with pricing data. These solutions are designed to simplify the complex landscape of healthcare costs, enabling patients to access detailed information about the pricing of medical services and procedures. By providing a clear breakdown of costs, these solutions empower patients to make informed decisions about their healthcare, promoting a more competitive market environment. As healthcare systems continue to evolve towards transparency and accountability, the adoption of these solutions is expected to rise, further enhancing patient engagement and satisfaction.

Regionally, North America dominates the hospital price compare app market, accounting for the largest revenue share in 2024, owing to advanced healthcare infrastructure, stringent regulatory frameworks, and high digital literacy rates. Europe follows closely, supported by strong policy directives towards healthcare transparency and widespread adoption of digital health solutions. The Asia Pacific region is poised for the fastest growth, driven by rising healthcare expenditures, increasing smartphone penetration, and government initiatives aimed at digitalizing healthcare delivery. Latin America and the Middle East & Africa are gradually catching up, with market growth being supported by expanding healthcare access and growing awareness of price tran

The Nursing Home Cost Report (RHCF) is a uniform report completed by New York nursing homes to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations (Part 86-2.2), nursing homes are required to file financial and statistical data with DOH annually. The data filed is part of the cost report and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends.

Hospital Price Transparency Platform Market Outlook

According to our latest research, the global hospital price transparency platform market size reached USD 1.42 billion in 2024, with a robust growth trajectory expected through the next decade. The market is projected to expand at a CAGR of 17.8% from 2025 to 2033, reaching an estimated USD 6.23 billion by 2033. This remarkable growth is propelled by stringent regulatory mandates, rising consumer demand for healthcare cost clarity, and the accelerated adoption of digital health solutions across the globe. The increasing emphasis on value-based care and the growing need for healthcare organizations to comply with governmental price transparency regulations are further fueling the expansion of the hospital price transparency platform market.

One of the primary growth factors for the hospital price transparency platform market is the evolving regulatory landscape, particularly in the United States and Europe. Mandates such as the Centers for Medicare & Medicaid Services (CMS) Hospital Price Transparency Rule, which requires hospitals to disclose their standard charges for items and services, have created a pressing need for robust digital platforms that can seamlessly aggregate, manage, and display pricing data. As a result, healthcare providers are increasingly investing in advanced price transparency solutions to ensure compliance, avoid penalties, and enhance their reputation as patient-centric organizations. Moreover, the proliferation of similar regulations in other regions is expected to drive global market adoption, as transparency becomes a universal expectation in healthcare delivery.

Another significant growth driver is the rising consumer demand for accessible and understandable healthcare pricing information. As patients shoulder a greater share of healthcare costs through high-deductible health plans and out-of-pocket expenses, there is mounting pressure on providers to deliver clear, accurate, and real-time pricing data. Hospital price transparency platforms empower patients to make informed decisions about their care by comparing prices, understanding potential costs, and selecting providers that best align with their financial and clinical needs. This shift toward patient empowerment is fostering a more competitive and consumer-friendly healthcare ecosystem, compelling providers to adopt advanced transparency tools that improve patient satisfaction and loyalty.

Technological advancements and the digital transformation of healthcare systems are also playing a pivotal role in the expansion of the hospital price transparency platform market. The integration of artificial intelligence, machine learning, and advanced analytics into these platforms enables healthcare organizations to automate complex pricing workflows, identify cost-saving opportunities, and generate actionable insights for both providers and patients. Cloud-based deployment models, interoperability with electronic health records (EHRs), and mobile accessibility are further enhancing the usability and scalability of price transparency solutions. As hospitals and health systems strive to optimize revenue cycle management, reduce administrative burdens, and meet evolving patient expectations, investment in innovative transparency platforms is becoming a strategic imperative.

From a regional perspective, North America currently dominates the hospital price transparency platform market, accounting for approximately 48% of global revenue in 2024, driven by stringent regulatory frameworks, high healthcare expenditure, and widespread digital adoption. Europe follows closely, with substantial growth anticipated in countries implementing price transparency mandates and digital health initiatives. The Asia Pacific region is poised for the fastest growth over the forecast period, fueled by expanding healthcare infrastructure, increasing government investment in health IT, and rising awareness of patient rights. Latin America and the Middle East & Africa are also witnessing steady adoption, albeit at a comparatively slower pace, due to evolving regulatory landscapes and infrastructural challenges.

Component Analysis

The hospital price transparency platform market is segmented by component into software and services, both of which play integral roles in the overall solution ecosystem. The software segment encompasses a wide array of applications, including pricing engines, data aggregation tools, compliance modules, and patient-facin

This dataset tracks the updates made on the dataset "Hospital Cost Report Edited Data Print Image: 2009" as a repository for previous versions of the data and metadata.

Original survey findings from 173 U.S. childcare providers compiled by HINGE Early Education Advisors. Includes data on staff pay trends, tuition allocations, and cost management strategies in the early education industry.

With global estimates of 15 million cases of sepsis annually, together with a 24% in-hospital mortality rate, this condition comes at a high cost to both the patient and to the health services delivering care. This translational research determined the cost-effectiveness of state-wide implementation of a whole of hospital Sepsis Pathway in reducing mortality and/or hospital admission costs from a healthcare sector perspective, and report the cost of implementation over 12-months. A non-randomised stepped wedge cluster implementation study design was used to implement an existing Sepsis Pathway (“Think sepsis. Act fast”) across 10 of Victoria’s public health services, comprising 23 hospitals, which provide hospital care to 63% of the State’s population, or 15% of the Australian population. The pathway utilised a nurse led model with early warning and severity criteria, and actions to be initiated within 60 minutes of sepsis recognition. Pathway elements included oxygen administration; blood cultures (x2); venous blood lactate; fluid resuscitation; intravenous antibiotics, and increased monitoring. At baseline there were 876 participants (392 female (44.7%), mean 68.4 years); and during the intervention, there were 1,476 participants (684 female (46.3%), mean 66.8 years). Mortality significantly reduced from 11.4% (100/876) at baseline to 5.8% (85/1,476) during implementation (p>0.001). Respectively, at baseline and intervention the average length of stay was 9.1 (SD 10.3) and 6.2 (SD 7.9) days, and cost was $AUD22,107 (SD $26,937) and $14,203 (SD $17,611) per patient, with a significant 2.9 day reduction in length of stay (-2.9; 95%CI -3.7 to -2.2, p