The Physician/Supplier Procedure Summary (PSPS) data provides a summary of calendar year Medicare Part B carrier and durable medical equipment fee-for-service (FFS) claims. The file is organized by carrier, pricing locality, Healthcare Common Procedure Coding System (HCPCS) code, HCPCS modifier, provider specialty, type of service, and place of service. The summarized fields are total submitted services and charges, total allowed services and charges, total denied services and charges, and total payment amounts. This dataset is produced annually and is typically available in July (i.e., data for CY2015 is usually available in July 2016). Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.
This dataset is grouped by service provider specialty, and provides information about the number of recipients, number of claims, and dollar amount for given diagnosis claims. Restricted to claims with service date between 01/2012 to 12/2017. Restricted to claims with a primary diagnosis only. Restricted to top 100 most frequent diagnosis codes that are marked as primary diagnosis of a claim. Provider is the rendering provider marked in the claim. Provider specialty is the primary specialty of the rendering provider. This data is for research purposes and is not intended to be used for reporting. Due to differences in geographic aggregation, time period considerations, and units of analysis, these numbers may differ from those reported by FSSA.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Market Size statistics on the Financial Data Service Providers industry in the US
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
A. SUMMARY This dataset contains information of Substance Use Disorder (SUD) programs / sites and its matching providers / clinicians. It serves as provider directory for the general public to know and search for SUD programs / sites contracted with the City and County of San Francisco.
B. HOW THE DATASET IS CREATED The dataset is pulled from our electronic systems.
C. UPDATE PROCESS The dataset is updated nightly through sf.gov through Application Programming Interface (API) whenever there are changes. There is monthly review and tracking.
D. HOW TO USE THIS DATASET There are filters for some data fields for quick search. For example, if we want to search all SUD programs that serve women, we would use the Gender filter and select “Women” and “All”.
E. RELATED DATASETS
The Home Health Agency PUF contains information on utilization, payment (Medicare payment and standard payment), and submitted charges organized by CMS Certification Number (6-digit provider identification number), Home Health Resource Group (HHRG), and state of service. This PUF is based on information from CMSs Chronic Conditions Data Warehouse (CCW) data files. The data in the Home Health Agency PUF covers calendar year 2013 and contains 100 percent final-action (i.e., all claim adjustments have been resolved) home health agency institutional claims for the Medicare fee-for-service (FFS) population.
The website shows data on the plan and implementation of the health services program by individual health activities (VZD) :
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.
ECM Community Support Services tables for a Quarterly Implementation Report. Including the County and Plan Details for both ECM and Community Support.This Medi-Cal Enhanced Care Management (ECM) and Community Supports Calendar Year Quarterly Implementation Report provides a comprehensive overview of ECM and Community Supports implementation in the programs' first year. It includes data at the state, county, and plan levels on total members served, utilization, and provider networks.ECM is a statewide MCP benefit that provides person-centered, community-based care management to the highest need members. The Department of Health Care Services (DHCS) and its MCP partners began implementing ECM in phases by Populations of Focus (POFs), with the first three POFs launching statewide in CY 2022.Community Supports are services that address members’ health-related social needs and help them avoid higher, costlier levels of care. Although it is optional for MCPs to offer these services, every Medi-Cal MCP offered Community Supports in 2022, and at least two Community Supports services were offered and available in every county by the end of the year.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The Alternative Data Provider market, currently valued at $1.252 billion (2025), is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 9% from 2025 to 2033. This expansion is driven by several key factors. Firstly, the increasing demand for more granular and timely insights across various sectors – BFSI (Banking, Financial Services, and Insurance), industrial, IT and telecommunications, retail and logistics – fuels the adoption of alternative data sources beyond traditional financial data. Secondly, the sophistication of analytical techniques and AI/ML-powered solutions allows for more effective processing and interpretation of diverse data types, including credit card transactions, web data, sentiment analysis, and public records. This enables businesses to make more informed, data-driven decisions. Finally, the emergence of specialized providers catering to niche needs within these sectors has created a competitive yet innovative marketplace. While regulatory hurdles and data privacy concerns pose challenges, the overall market trajectory remains positive, indicating strong potential for future growth and investment. The market segmentation reveals a diverse landscape. Application-wise, BFSI currently holds a significant share due to the sector's reliance on real-time insights for risk management and investment strategies. However, the IT and telecommunications and Retail and Logistics sectors are exhibiting strong growth potential, driving demand for alternative data solutions to improve operational efficiency and customer understanding. Regarding data types, credit card transactions and web data are currently dominant, but sentiment and public data are gaining traction due to their ability to provide nuanced understanding of market trends and consumer behavior. Leading companies such as Preqin, Dataminr, and others are constantly innovating their offerings, focusing on the development of advanced analytics and data integration capabilities to capture a larger market share in this dynamic space. Geographical expansion, particularly in the Asia-Pacific region driven by increasing digital adoption and economic growth, presents significant opportunities for future market expansion.
The Institutional Provider Network Data displays information on health facilities and ancillary service providers (for example: hospitals, labs, home care agencies) participating in health plan networks from July through September 2019. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by NYSoH, including managed care plans, as well as PPO/EPO plans. For more information, please visit: https://pndslookup.health.ny.gov.
This statistic shows the leading vendors of big data and analytics software from 2015 to 2017. In 2017, Splunk was the largest big data and analytics software provider with 11 percent of the market.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
BackgroundThe impact of provider payment mechanisms under Indonesia’s National Health Insurance (NHI) scheme on healthcare providers’ behavior–particularly in tuberculosis (TB) service delivery– remains underexplored. This study examines the consequences of provider payment incentives on TB service provider behavior.MethodsA mixed-methods study was conducted using quantitative analysis of NHI claims data from 2015 to 2016 and qualitative data from focus group discussions with healthcare providers—22 primary care facilities and 14 hospitals across five provinces-. Quantitative analysis examined TB service utilization patterns, assessed referral appropriateness based on case complexity, and claim of TB services. Qualitative data were thematically analyzed to explore factors influencing provider decision-making in the context of payment mechanisms and service delivery under the NHI scheme.ResultsFindings indicate that primary care facilities refer a high proportion of TB cases to secondary-level care, even for uncomplicated cases (81% of 782 visits). Secondary care recorded significantly more TB visits than primary care (5,249 vs. 1,094 visits), resulting in an estimated USD 14.1 million in potentially avoidable costs for the NHI program. If these cases had been managed at the primary level, potential cost savings could have been substantial. Qualitative analysis revealed that provider referral decisions were influenced by capitation-based payment structures, limited diagnostic tools, absence of dedicated TB rooms, lack of provider capacity, patient preferences, financial incentives favoring more profitable diseases, and providers’ social ties. The high rate of up-referrals may negatively impact service quality and TB treatment outcomes.ConclusionCurrent provider payment mechanisms under NHI contribute to inefficiencies in TB service delivery by incentivizing unnecessary referrals to secondary care. Optimizing payment methods and strengthening implementation by addressing weak provider capacity at the primary care level could enhance incentives for primary-level management of TB cases, improving cost-effectiveness and service quality.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This data set contains details information on the prescription drugs that were prescribed by individual physicians in Utah and other health care providers in Utah and paid for under the Medicare Part D Prescription Drug Program in 2014.
Comprehensive dataset of 87 Internet service providers in Sakha Republic, Russia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Comprehensive dataset of 22 Paralegal services providers in Austria as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions
This publication provides the most timely statistics available relating to NHS funded secondary mental health, learning disabilities and autism services in England. This information will be of use to people needing access to information quickly for operational decision making and other purposes. These statistics are derived from submissions made using version 2.0 of the Mental Health Services Dataset (MHSDS). NHS Digital review the quality and completeness of the submissions used to create these statistics on an ongoing basis. More information about this work can be found in the Accuracy and reliability section of this report. Fully detailed information on the quality and completeness of particular statistics in this release is not available due to the timescales involved in reviewing submissions and engaging with data providers. The information that has been obtained at the time of publication is made available in the Provider Feedback sections of the Data Quality Reports which accompany this release. Information gathered after publication is released in future editions of this publication series. More detailed information on the quality and completeness of these statistics and a summary of how these statistics may be interpreted is made available later in our Mental Health Bulletin: Annual Report publication series. All elements of this publication, other editions of this publication series, and related annual publication series' can be found in the Related Links below. From May 2018 Learning disabilities and autism service specific statistics will move to its own monthly publication and, as such, be removed from this publication; further information will be available in future publications. If you have any feedback on these proposed changes please send these to enquiries@nhsdigital.nhs.uk with 'MHSDS Monthly' in the subject. The Mental Health Data Hub was launched In February 2018; the hub brings together information on mental health data into a single place and contains visualisations and time series of select data from within this publication. The hub is available here: https://digital.nhs.uk/data-tools-and-services/services/mental-health-data-hub. Included in this months publication are two exploratory analyses. The first is an exploratory piece of analysis on bed types and the differing methodologies that can be used for reporting. The second exploratory analysis is an analysis of women in contact with mental health services who were new or expectant mothers between January 2017 and December 2017. A correction has been made to this publication on 10 September 2018. This amendment relates to statistics in the monthly CSV data file; the specific measures effected are listed in the “Corrected Measures” CSV. All listed measures have now been corrected. NHS Digital apologises for any inconvenience caused.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The global healthcare services outsourcing market is experiencing robust growth, driven by escalating healthcare costs, increasing demand for improved operational efficiency, and the growing adoption of advanced technologies like AI and machine learning in healthcare processes. The market is segmented by application (healthcare payers, providers, pharmaceutical companies, and others) and type of service (medical billing, healthcare support, claims processing, transcription, healthcare data analytics, and others). North America currently holds a significant market share due to its advanced healthcare infrastructure and early adoption of outsourcing models. However, regions like Asia Pacific are witnessing rapid growth, fueled by increasing healthcare expenditure and a burgeoning middle class. The competitive landscape is characterized by a mix of large multinational companies and specialized service providers, each focusing on specific segments of the market. Key players are continuously investing in technological advancements and strategic partnerships to enhance their service offerings and expand their market reach. This competitive landscape fosters innovation and drives down costs, benefiting both healthcare providers and patients. The forecast period (2025-2033) anticipates continued expansion, driven by factors such as the increasing prevalence of chronic diseases, the rising adoption of value-based care models, and the growing need for data-driven insights in healthcare decision-making. While regulatory hurdles and data security concerns pose challenges, the overall market outlook remains positive. The shift towards digitalization and remote healthcare delivery is further accelerating the demand for outsourcing services, especially in areas like telehealth support and remote patient monitoring. Specific service areas like healthcare data analytics are expected to exhibit particularly strong growth due to the increasing need for effective data management and analysis to improve patient outcomes and operational efficiency. This market is poised for continued expansion as technology evolves and healthcare systems globally seek to enhance efficiency and reduce costs.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Real personal consumption expenditures: Health care: Outpatient services: Physician services was 722.95800 Bil. of Chn. 2009 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Real personal consumption expenditures: Health care: Outpatient services: Physician services reached a record high of 722.95800 in January of 2024 and a record low of 254.10000 in January of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Real personal consumption expenditures: Health care: Outpatient services: Physician services - last updated from the United States Federal Reserve on June of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset describes the number and density of health care services in each census tract in the United States. The data includes counts, per capita densities, and area densities per tract for many types of businesses in the health care sector, including doctors, dentists, mental health providers, nursing homes, and pharmacies.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
ECM Community Support Services tables for a Quarterly Implementation Report. Including the County and Plan Details for both ECM and Community Support.
This Medi-Cal Enhanced Care Management (ECM) and Community Supports Calendar Year Quarterly Implementation Report provides a comprehensive overview of ECM and Community Supports implementation in the programs' first year. It includes data at the state, county, and plan levels on total members served, utilization, and provider networks.
ECM is a statewide MCP benefit that provides person-centered, community-based care management to the highest need members. The Department of Health Care Services (DHCS) and its MCP partners began implementing ECM in phases by Populations of Focus (POFs), with the first three POFs launching statewide in CY 2022.
Community Supports are services that address members’ health-related social needs and help them avoid higher, costlier levels of care. Although it is optional for MCPs to offer these services, every Medi-Cal MCP offered Community Supports in 2022, and at least two Community Supports services were offered and available in every county by the end of the year.
This service provides web services used to obtain order releated data. Users of this service are intended to be healthcare providers
The Physician/Supplier Procedure Summary (PSPS) data provides a summary of calendar year Medicare Part B carrier and durable medical equipment fee-for-service (FFS) claims. The file is organized by carrier, pricing locality, Healthcare Common Procedure Coding System (HCPCS) code, HCPCS modifier, provider specialty, type of service, and place of service. The summarized fields are total submitted services and charges, total allowed services and charges, total denied services and charges, and total payment amounts. This dataset is produced annually and is typically available in July (i.e., data for CY2015 is usually available in July 2016). Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.