Cares data

The International Cardiac Arrest REsearch consortium (I-CARE) Database includes baseline clinical information and continuous electroencephalogram (EEG) and electrocardiogram (ECG) recordings from comatose patients following cardiac arrest. The patients were admitted to an intensive care unit (ICU) in one of seven academic hospitals in the U.S. and Europe and monitored for several hours to several days. The long-term neurological function of the patients was determined using the Cerebral Performance Category scale.

HHS is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security (CARES) Act; the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act, which provide a total of $178 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund (PRF) money and these payments do not need to be repaid.

The Department allocated $50 billion in PRF payments for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. HHS has made other PRF distributions to a wide array of health care providers and more information on those distributions can be found here: https://www.hhs.gov/coronavirus/cares-act-provider-relief-fund/data/index.html

This database is part of the National Medical Information System (NMIS). The National Health Care Practitioner Database (NHCPD) supports Veterans Health Administration Privacy Act requirements by segregating personal information about health care practitioners such as name and social security number from patient information recorded in the National Patient Care Database for Ambulatory Care Reporting and Primary Care Management Module.

This feature class/shapefile contains locations of child day care centers for the 50 states of the USA, Washington D.C., and Puerto Rico. The dataset only includes center based child day care locations (including those located at schools and religious institutes) and does not include group, home, and family based child day cares. The SOURCEDATE is an indicator of when the source data was last acquired or was publicly available. All the data was acquired from respective states departments or their open source websites and only contains data provided by these sources. Information on the source of data for each state is available in the SOURCE field of the feature class/shapefile. The TYPE attribute is a common categorization of child day care centers for all states which categorizes every child day care into Center Based, School Based, Head Start, or Religious Facility solely based on the type of facility where the child day care center is geographically located. This update has 2608 fewer records than the previous version based on source data

Healthcare Data for use with GIS mapping software, databases, and web applications are from Caliper Corporation and contain point geographic files of healthcare organizations, providers, and hospitals and an boundary file of Primary Care Service Areas.

This dataset contains State data of several home health agency quality measures for Home Health Agencies. This survey is designed to measure the experiences of people receiving home health care from Medicare-certified home health agencies. The Home Health Care Consumer Assessment of Healthcare Providers and Systems (HHCAHPS) is conducted for home health agencies by approved HHCAHPS Survey vendors.

The complete data set of annual utilization data reported by primary care clinics contains basic clinic identification information including community services, clinic staffing data, and patient and staff language data; financial information including gross revenue, itemized write-offs by program, an income statement, and selected capital project items; and information on encounters by service, principal diagnosis, and procedure codes (CPT codes). These products provide trend utilization information for primary care clinics in the form of tables and pivot tables. The primary care clinic trends resource includes information on the number of clinics by type, the number of patients (by race, ethnicity, gender and age), the number of encounters by payer source; and revenues by payer source including the average revenue per encounter.

This dataset includes a list of hospice agencies with data on the quality of patient care measures shown on Hospice Compare. It includes information about hospice agencies such as address, phone number, ownership data and different Centers for Medicare & Medicaid Services (CMS) Regions they belong to. This dataset also contains data regarding the corresponding scores against each of the measures for quality of patient care.

HUD CARES Act Allocation Data

  HUD CARES Act supplemental allocation amounts - cities and counties plus non-entitlement About HUD CARES Act Allocation Data: Links to several different datasets related to CARES ACT supplemental funding, including Treasury Dept and HUD allocations for cities, counties, tribal communities and non-entitlements. An additional dataset contains allocations for HHS Provider Relief Fund COVID-19 High-Impact Payments to individual providers by city and state. Click for more detail.
  Geography Level: State, City or CountyItem Vintage: Not Available
  Update Frequency: N/AAgency: HUDAvailable File Type: Excel (Links goes to same HUD CPD dataset link as listed in HUD Housing datasets listed above) 

  Return to Other Federal Agency Datasets Page

Nivel Primary Care Database

Nivel's Primary Care Database (Nivel Zorgregistraties eerste lijn) uses routinely recorded data from health care providers to monitor health and utilisation of health services in a representative sample of the Dutch population.

This dataset includes a list of long-term care hospitals with information such as address, phone number, data on the quality of patient care measures and more. This dataset also shows the corresponding scores against each of the measures for quality of patient care.

Information about incoming calls to the Mesa CARES Outreach hotline (480-644-CARES) providing assistance with small business re-emergence, residential utility assistance and feeding Mesa programs. More information about Mesa CARES is at https://www.mesaaz.gov/government/mesa-cares.

This public version redacts the Agent ID field.

About OPCRD

Optimum Patient Care Research Database (OPCRD) is a real-world, longitudinal, research database that provides anonymised data to support scientific, medical, public health and exploratory research. OPCRD is established, funded and maintained by Optimum Patient Care Limited (OPC) – which is a not-for-profit social enterprise that has been providing quality improvement programmes and research support services to general practices across the UK since 2005.

Key Features of OPCRD

OPCRD has been purposefully designed to facilitate real-world data collection and address the growing demand for observational and pragmatic medical research, both in the UK and internationally. Data held in OPCRD is representative of routine clinical care and thus enables the study of ‘real-world’ effectiveness and health care utilisation patterns for chronic health conditions.

OPCRD unique qualities which set it apart from other research data resources: • De-identified electronic medical records of more than 24.4 million patients • OPCRD covers all major UK primary care clinical systems • OPCRD covers approximately 35% of the UK population • One of the biggest primary care research networks in the world, with over 1,175 practices • Linked patient reported outcomes for over 68,000 patients including Covid-19 patient reported data • Linkage to secondary care data sources including Hospital Episode Statistics (HES)

Data Available in OPCRD

OPCRD has received data contributions from over 1,175 practices and currently holds de-identified research ready data for over 24.4 million patients or data subjects. This includes longitudinal primary care patient data and any data relevant to the management of patients in primary care, and thus covers all conditions. The data is derived from both electronic health records (EHR) data and patient reported data from patient questionnaires delivered as part of quality improvement. OPCRD currently holds over 68,000 patient reported questionnaire data on Covid-19, asthma, COPD and rare diseases.

Approvals and Governance

OPCRD has NHS research ethics committee (REC) approval to provide anonymised data for scientific and medical research since 2010, with its most recent approval in 2020 (NHS HRA REC ref: 20/EM/0148). OPCRD is governed by the Anonymised Data Ethics and Protocols Transparency committee (ADEPT). All research conducted using anonymised data from OPCRD must gain prior approval from ADEPT. Proceeds from OPCRD data access fees and detailed feasibility assessments are re-invested into OPC services for the continued free provision of patient quality improvement programmes for contributing practices and patients.

For more information on OPCRD please visit: https://opcrd.co.uk/

The Global Point-of-Care Data Management Software Market is segmented by End User (Hospitals/Critical Care Units, Diagnostic Centers, Clinics/Outpatient), Application (Infectious Disease Devices, Glucose Monitoring, Coagulation Monitoring, Urinalysis, Cardiometabolic Monitoring, Cancer Markers, Hematology), and Geography.

ONC uses the SK&A Office-based Provider Database to calculate the counts of medical doctors, doctors of osteopathy, nurse practitioners, and physician assistants at the state and count level from 2011 through 2013. These counts are grouped as a total, as well as segmented by each provider type and separately as counts of primary care providers.

According to Cognitive Market Research, the global point of care data management systems market size will be USD 815.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 11.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 326.24 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 244.68 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 187.59 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 40.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 16.31 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2% from 2024 to 2031.
The hospitals/critical care units held the highest Point of Care Data Management Systems market revenue share in 2024.

Market Dynamics of Point of Care Data Management Systems Market

Key Drivers for Point of Care Data Management Systems Market

Increasing Popularity of Point of Care Testing to Increase the Demand Globally

The increasing need for quick and decentralized diagnostic tests has led to a surge in POCT use. The market prognosis for point-of-care data management software is therefore being driven by this. The need for this software is growing because it facilitates the integration of data from POCT devices into laboratory information systems (LIS) and electronic health records (EHRs). The necessity for real-time data access and the growing emphasis on patient-centered treatment make the use of this software even more essential. It is impossible to overstate the importance of having rapid access to reliable patient information, particularly in critical care situations.

Rising Focus on Remote Patient Monitoring to Propel Market Growth

Numerous point-of-care data management system market advancements, including data management solutions, have been brought about by the growth of telehealth services and the growing need for efficient records administration systems to support remote patient monitoring and virtual consultations. No matter where patients are, the software enables remote access to patient data, real-time follow-up therapy monitoring, and vital sign monitoring. This reduces the need for in-person visits and hospital stays, which improves the effectiveness of healthcare delivery. There would be a greater demand for complex point-of-care data management software as telemedicine is expected to increase. The price of point-of-care data management software will therefore be determined by this.

Restraint Factor for the Point of Care Data Management Systems Market

High Cost and Operational Challenge to Limit the Sales

Clinical workers rather than laboratory-trained individuals undertake point-of-care testing, which might result in errors due to a lack of understanding regarding the significance of quality control and quality assurance processes. Furthermore, POCT typically costs more than testing done in the central laboratory and requires a lot of laboratory assistance to guarantee high-quality testing while fulfilling accreditation standards. The clinical areas frequently overlook the numerous hidden expenses associated with point-of-care testing, such as the cost of proficiency testing, quality control supplies, and reagents for equipment validation. The costs associated with hiring medical laboratory technologists who are needed to support the POCT quality assurance system as well as information system and IT personnel who are critical to the POCT connectivity platforms must also be taken into account. Additionally, there is a cost involved in developing the interface that links POCT devices or software to the electronic medical record (EMR) and laboratory information system. It is difficult to gain the connectivity required to enter POCT results into the EHR quickly enough to alter patient care.

Impact of Covid-19 on the Point of Care Data Management Systems Market

The point of care data management s...

The Affordable Care Act (ACA) is a federal statute enacted with a goal of increasing the quality and affordability of health insurance. Through a web service, CMS sends applicant information to SSA. SSA matches applicant data to various SSA data sources and provides a response back to CMS, based on the results of the matches. The results of these matches help CMS and states determine an applicant's eligibility and cost for health insurance. SSA provides results to CMS for matches of SSN, Name, and DOB against the Numident. SSA may also provide incarceration data from PUPS, Title II income from the MBR, and quarters of coverage data from the MEF.

The Medical Care Cost Recovery National Database (MCCR NDB) provides a repository of summary Medical Care Collections Fund (MCCF) billing and collection information used by program management to compare facility performance. It stores summary information for Veterans Health Administration (VHA) receivables including the number of receivables and their summarized status information. This database is used to monitor the status of the VHA's collection process and to provide visibility on the types of bills and collections being done by the Department. The objective of the VA MCCF Program is to collect reimbursement from third party health insurers and co-payments from certain non-service-connected (NSC) Veterans for the cost of medical care furnished to Veterans. Legislation has authorized VHA to: submit claims to and recover payments from Veterans' third party health insurance carriers for treatment of non-service-connected conditions; recover co-payments from certain Veterans for treatment of non-service-connected conditions; and recover co-payments for medications from certain Veterans for treatment of non-service-connected conditions. All of the information captured in the MCCR NDB is derived from the Accounts Receivable (AR) modules running at each medical center. MCCR NDB is not used for official collections figures; instead, the Department uses the Financial Management System (FMS).

The Older Persons and Informal Caregivers Survey - Minimum DataSet (TOPICS-MDS) is a public data repository which contains information on the physical and mental health and well-being of older persons and informal caregivers and their care use across the Netherlands. The database was developed at the start of The National Care for the Elderly Programme (‘Nationaal Programma Ouderenzorg’ - NPO) on behalf of the Organisation of Health Research and Development (ZonMw - The Netherlands), in part to ensure uniform collection of outcome measures, thus promoting comparability between studies.Since September 2014, TOPICS-MDS data are also collected within the ZonMw funded ‘Memorabel’ programme, that is specifically aimed at improving the quality of life for people with dementia and the care and support provided to them. In Memorabel round 1 through 4, 11 different research projects have collected TOPICS-MDS data, which has resulted in a pooled database with cross-sectional and (partly) longitudinal data of 1,400 older persons with early onset or advanced dementia and about 950 informal caregivers. Out of these numbers, a number of 919 concerns care receiver - caregiver dyads of whom information on both the care receiver and caregiver is available.More background information on both NPO and Memorabel 1-4 can be found in the overall information on TOPICS-MDS under the tab ‘Data files’ in DANS EASY (doi.org/10.17026/dans-xvh-dbbf).The 'TOPICS-MDS Memorabel 1-4 care receiver' dataset, as part of the Memorabel 1-4 database, contains no informal caregiver data, only care receiver (older person) data. The dataset includes data on age, gender, country of birth, level of education, marital status and living situation of the care receiver, as well as data on physical and emotional health and well-being, quality of life, daily functioning and use of care, such as GP visits, home care, day care/treatment and admittance in a hospital, home for the aged or nursing home.Although the TOPICS-MDS survey instrument for the care receiver was updated in 2017, the same initial version of the instrument was used in both NPO and Memorabel 1-4 projects. The TOPICS-MDS care receiver data from NPO and Memorabel 1-4 can therefore be easily merged.