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The Medicare Physician & Other Practitioners by Provider dataset provides information on use, payments, submitted charges and beneficiary demographic and health characteristics organized by National Provider Identifier (NPI). 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.

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Analysis of ‘Office-based Health Care Providers Database’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d2c20342-2ae3-4dde-bdcf-2cb273bee291 on 11 February 2022.

--- Dataset description provided by original source is as follows ---

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.

--- Original source retains full ownership of the source dataset ---

Comprehensive physician salary data covering 75+ medical specialties with 2,500+ verified submissions from practicing physicians, residents, and medical students.

The physician credentialing services market is experiencing robust growth, driven by increasing healthcare regulations, the rising number of healthcare providers, and the expanding demand for efficient and streamlined credentialing processes. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 5% from 2025 to 2033. This growth is fueled by several key trends, including the increasing adoption of technology solutions such as CAQH databases and cloud-based credentialing platforms to automate and accelerate the process. Furthermore, the rising focus on reducing administrative burdens for healthcare providers and improving patient access to care is significantly contributing to market expansion. The outsourcing of credentialing services is also gaining traction, as healthcare organizations seek to reduce internal costs and improve efficiency. This trend is particularly pronounced in larger enterprise settings. However, challenges remain, including the complexity of regulatory compliance across diverse jurisdictions and the potential for data breaches. Maintaining data security and ensuring compliance with evolving regulations represent key restraints to market growth. Segmentation within the market reveals significant opportunities across various service types, including individual physician credentialing, CAQH database utilization, insurance panel applications, and comprehensive outsourcing services. The application segment shows a strong demand from both enterprise-level healthcare systems and individual physicians, reflecting the widespread need for efficient credentialing solutions across all scales of operation. The North American region is expected to maintain a dominant market share, propelled by strong regulatory frameworks and high healthcare expenditure, followed by Europe and Asia-Pacific. The continued expansion of telehealth and value-based care models will further drive demand for sophisticated and streamlined credentialing services in the coming years, reinforcing the long-term growth prospects of this market.

Register of Health Care Providers is the basic national database
on health care system, medical staff and other health care employees. It is intended for planning and monitoring the public health service network, planning and monitoring the movement of health personnel, and implementation of health care and health insurance systems. It serves as a register of individual groups of medical staff, separately
doctors, dentists, pharmacists and private health professionals.

The Nationwide Readmissions Database is part of the Healthcare Cost and Utilization Project (HCUP) family of databases. The NRD is derived from the HCUP State Inpatient Databases (SID), and aims to provide nationally represenative data to support hospital readmission analyses. The NRD includes all-payer inpatient discharges from HCUP partner community hospitals in the SID which have verifiable patient linkage numbers. These synthetic linkage numbers allow analysts to track patients across hospital stays, while maintaining patient privacy. The NRD contains over 14 million discharge records per data year from about 85% of SID discharges from participating states. The 122 data elements in the NRD include diagnostic and procedure codes, and hospital characteristics. The data cannot be used to track readmissions across states or across data years or used for state-, facility-, or physician-level analyses.

BackgroundPhysicians are often encouraged to locate answers for their clinical queries via an evidence-based literature search approach. The methods used are often not clearly specified. Inappropriate search strategies, time constraint and contradictory information complicate evidence retrieval.AimsOur study aimed to develop a search strategy to answer clinical queries among physicians in a primary care settingMethodsSix clinical questions of different medical conditions seen in primary care were formulated. A series of experimental searches to answer each question was conducted on 3 commonly advocated medical databases. We compared search results from a PICO (patients, intervention, comparison, outcome) framework for questions using different combinations of PICO elements. We also compared outcomes from doing searches using text words, Medical Subject Headings (MeSH), or a combination of both. All searches were documented using screenshots and saved search strategies.ResultsAnswers to all 6 questions using the PICO framework were found. A higher number of systematic reviews were obtained using a 2 PICO element search compared to a 4 element search. A more optimal choice of search is a combination of both text words and MeSH terms. Despite searching using the Systematic Review filter, many non-systematic reviews or narrative reviews were found in PubMed. There was poor overlap between outcomes of searches using different databases. The duration of search and screening for the 6 questions ranged from 1 to 4 hours.ConclusionThis strategy has been shown to be feasible and can provide evidence to doctors’ clinical questions. It has the potential to be incorporated into an interventional study to determine the impact of an online evidence retrieval system.

Long-term quantitative series for 20 Latin American countries, spanning from 1960 to 2020, on the number of hospital beds, physicians, nurses and healthcare expenditure.

Matus-Lopez, M. and Fernández Pérez, P. 2023. "Transformations in Latin American Healthcare: A Retrospective Analysis of Hospital Beds, Medical Doctors, and Nurses from 1960 to 2022". Journal of Evolutionary Studies in Business.

The information was extracted from official reports and cross-country databases. Official reports were available in digital format in the Institutional Repository for Information Sharing (IRIS) of Pan American Health Organization (PAHO). They were summary of four-year reports on Health Conditions in the Americas (PAHO 1962, 1966, 1970, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002a), annual reports of Basic Indicators (PAHO 2002b, 2007, 2008, 2010, 2013), Health in South America (PAHO 2012) and Core Indicators (PAHO 2016). Databases were Open Data Portal of the Pan American Health Organization (PLISA) (PAHO 2023), Core Indicator Database provided directly by PAHO (PAHO 2022), Data Portal of National Health Workforce Accounts of the World Health Organization (NHWA) (WHO 2022), and the Global Health Expenditure Database of the World Health Organization (GHED) (WHO 2023).

Serie 1. Hospital Beds per 1,000 inhabitants

Serie 2. Physicians per 10,000 inhabitants

Serie 3. Nurses per 10,000 inhabitants

Serie 4. Government spending on health, per capita. Constant US dollars of 2020

Cite as:

We searched the following electronic databases from January 1946 to 2016: English language (Medline, Embase), Chinese (CNKI, Wanfang, VIP), Japanese (Ichushi), Russian (Yandex, Rambler), and Spanish and Portuguese (SciELO). The search strategy was based on the Medline search described by Wilson et al (excluding steps 24–34). Sample search strategy can be found in the full paper Searches were supplemented by a survey of national members from the World Organization of National Colleges, Academies and Academic Associations of General Practitioners/Family Physicians (WONCA), who were asked to search the grey literature in their respective country for evidence relating to consultation length in either English or their native language. The grey literature search also included the WHO/INRUD database (2000–2016) and Robert Graham data repository (2009–2016). One author (GI) screened all references and excluded duplicate records and those that were not eligible based on our selection criteria for considering studies. Two authors (GI and ALN) then applied the criteria to the short-listed references for full-text screening. We included observational studies including cross-sectional studies, surveys and cohorts of consultation length with primary care physicians. Primary care physicians were defined broadly as any medically qualified physician who provides primary care. Terms for primary care physicians differ according to different settings and include general practitioners (GPs), family doctors, family practitioners and other physicians working in primary healthcare settings and who perform primary healthcare task. Studies set in secondary care and randomised controlled trials were excluded.

The Order and Referring dataset provides information on all physicians and non-physician practitioners, by their National Provider Identifier (NPI), who are of a type/specialty that is legally eligible to order and refer in the Medicare program and who have current enrollment records in Medicare. 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.

Trust in one’s physician drives positive health practices. However, the conceptualization and subsequent operationalization of trust have become clouded due to the multitude of approaches that have resulted in several different measures with varied dimensions and indicators. The objectives of this scoping review were: 1) to identify those measures of trust, whether newly created or refined in the last 10 years, whose reliability and validity had been studied, 2) to compare those instruments’ conceptualizations, dimensions, and indicators, and 3) to discover any new developments in the measurement of trust. This researcher conducted an electronic search of three databases (PubMed, SOCAB, and PsycINFO). Two reviewers screened those selected studies and extracted six distinct key measurement tools, of which three had shorter more abbreviated derivatives; of these six distinct tools, only one was developed and validated in non-US populations. Also extracted were ten dimensions of trust: fidelity, technical competence, communicative competence, interpersonal competence (i.e., caring), honesty, confidentiality, global, behavioral, fairness, and system trust/accountability. Interpersonal competence and fairness emerged as newer dimensions that deserve further study. A comparative analysis of the indicators of these trust dimensions revealed some discrepancies that deserve further theoretical and psychometric attention. In addition, the use of item-response theory to assess measurement invariance has been a productive addition to the assessment of external validity. This review provides a resource for researchers that will lead to a more uniform understanding of trust thereby setting the basis for future theoretical integration and measurement development.

Techsalerator covers all healthcare professionals and contacts with emails, NPI addresses, home addresses and more.

This dataset includes all types of Healthcare professional categories including:

Abdominal Radiology Addiction Medicine Addiction Psychiatry, Psychiatry Adolescent Medicine, Pediatrics Adolescent Medicine, Internal Medicine Adult Cardiac Anesthesiology, Anesthesiology Adult Congenital Heart Disease, Internal Medicine Adult Reconstructive Orthopaedic Surgery, Orthopaedic Surgery Advanced Heart Failure and Transplant Cardiology, Internal Medicine Aerospace Medicine, Preventive Medicine Allergy and Immunology Anesthesiology Anesthesiology Critical Care Medicine, Emergency Medicine Blood Banking-Transfusion Medicine, Pathology Brain Injury Medicine, Neurology Brain Injury Medicine, Physical Medicine and Rehabilitation Brain Injury Medicine, Psychiatry Cardiothoracic Radiology, Diagnostic Radiology Cardiovascular Disease, Internal Medicine Chemical Pathology, Pathology Child Abuse Pediatrics, Pediatrics Child and Adolescent Psychiatry, Psychiatry Child Neurology/Pediatric Neurology, Neurology Clinical Biochemical Genetics, Medical Genetics and Genomics Clinical Cardiac Electrophysiology, Internal Medicine Clinical Genetics and Genomics, Medical Genetics and Genomics Clinical Informatics, Diagnostic Radiology Clinical Informatics, Anesthesiology Clinical Informatics, Preventive Medicine Clinical Informatics, Pathology Clinical Neurophysiology, Neurology Colon and Rectal Surgery Complex Family Planning, Obstetrics and Gynecology Complex General Surgical Oncology, General Surgery Complex Pediatric Otolaryngology, Otolaryngology-Head and Neck Surgery Congenital Cardiac Surgery, Thoracic Surgery/Thoracic and Cardiac Surgery Consultation-Liaison Psychiatry/Psychosomatic Medicine, Psychiatry Craniofacial Surgery, Plastic Surgery Critical Care Medicine, Obstetrics and Gynecology Critical Care Medicine, Anesthesiology Critical Care Medicine, Internal Medicine Cytopathology, Pathology Dermatology Dermatopathology, Pathology Dermatopathology, Dermatology Developmental and Behavioral Pediatrics, Pediatrics Diagnostic Medical Physics, Medical Physics Diagnostic Radiology Emergency Medical Services, Emergency Medicine Emergency Medicine Endocrinology, Diabetes, and Metabolism, Internal Medicine Endovascular Surgical Neuroradiology, Neurological Surgery Endovascular Surgical Neuroradiology, Diagnostic Radiology Epilepsy, Neurology Family Medicine/Family Practice Female Pelvic Medicine and Reconstructive Surgery, Obstetrics and Gynecology Female Pelvic Medicine and Reconstructive Surgery, Urology Foot and Ankle Orthopaedic Surgery, Orthopaedic Surgery Forensic Pathology, Pathology Forensic Psychiatry, Psychiatry Gastroenterology, Internal Medicine General Surgery Geriatric Medicine, Family Medicine/Family Practice Geriatric Medicine, Internal Medicine Geriatric Psychiatry, Psychiatry Gynecologic Oncology, Obstetrics and Gynecology Hand Surgery, General Surgery Hand Surgery, Orthopaedic Surgery Hand Surgery, Plastic Surgery Hematology, Internal Medicine Hematology and Medical Oncology, Internal Medicine Hematopathology/Hematology, Pathology Hospice and Palliative Medicine Infectious Disease, Internal Medicine Integrated Plastic Surgery Integrated Thoracic Surgery Integrated Vascular Surgery Internal Medicine Internal Medicine-Critical Care Medicine, Emergency Medicine Internal Medicine-Emergency Medicine Internal Medicine-Pediatrics Internal Medicine-Psychiatry Interventional Cardiology, Internal Medicine Interventional Radiology, Diagnostic Radiology Laboratory Genetics and Genomics, Medical Genetics and Genomics Maternal-Fetal Medicine, Obstetrics and Gynecology Medical Biochemical Genetics, Medical Genetics and Genomics Medical Genetics and Genomics Medical Microbiology Pathology, Pathology Medical Oncology, Internal Medicine Medical Physics, Diagnostic Radiology Medical Toxicology, Pediatrics Medical Toxicology, Emergency Medicine Medical Toxicology, Preventive Medicine Micrographic Dermatologic Surgery, Dermatology Molecular Genetic Pathology, Pathology Molecular Genetic Pathology, Medical Genetics and Genomics Musculoskeletal Imaging Radiology, Diagnostic Radiology Musculoskeletal Oncology Musculoskeletal Oncology, Orthopaedic Surgery Neonatal-Perinatal Medicine, Pediatrics Nephrology, Internal Medicine Neuro-Ophthalmology, Ophthalmology Neurocritcial Care , Anesthesiology Neurocritical Care, Internal Medicine Neurocritical Care, Neurological Surgery Neurocritical Care, Neurology Neurodevelopmental Disabilities, Neurology Neurological Surgery Neurology Neuromuscular Medicine, Neurology Neuromuscular Medicine, Physical Medicine and Rehabilitation Neuropathology, Pathology Neuroradiology, Diagnostic Radiology Neurotology, Otolaryngology-Head and Neck Surgery Nuclear Medical Physics, Med...

The Washington State Department of Health presents this information as a service to the public. True and correct copies of legal disciplinary actions taken after July 1998 are available on our Provider Credential Search site. These records are considered certified by the Department of Health.

This includes information on health care providers.

Please contact our Customer Service Center at 360-236-4700 for information about actions before July 1998. The information on this site comes directly from our database and is updated daily at 10:00 a.m.. This data is a primary source for verification of credentials and is extracted from the primary database at 2:00 a.m. daily.

News releases about disciplinary actions taken against Washington State healthcare providers, agencies or facilities are on the agency's Newsroom webpage.

Disclaimer The absence of information in the Provider Credential Search system doesn't imply any recommendation, endorsement or guarantee of competence of any healthcare professional. The presence of information in this system doesn't imply a provider isn't competent or qualified to practice. The reader is encouraged to carefully evaluate any information found in this data set.

BackgroundOne potential solution to limited healthcare access in low and middle income countries (LMIC) is task-shifting- the training of non-physician healthcare workers (NPHWs) to perform tasks traditionally undertaken by physicians. The aim of this paper is to conduct a systematic review of studies involving task-shifting for the management of non-communicable disease (NCD) in LMIC.MethodsA search strategy with the following terms “task-shifting”, “non-physician healthcare workers”, “community healthcare worker”, “hypertension”, “diabetes”, “cardiovascular disease”, “mental health”, “depression”, “chronic obstructive pulmonary disease”, “respiratory disease”, “cancer” was conducted using Medline via Pubmed and the Cochrane library. Two reviewers independently reviewed the databases and extracted the data.FindingsOur search generated 7176 articles of which 22 were included in the review. Seven studies were randomised controlled trials and 15 were observational studies. Tasks performed by NPHWs included screening for NCDs and providing primary health care. The majority of studies showed improved health outcomes when compared with usual healthcare, including reductions in blood pressure, increased uptake of medications and lower depression scores. Factors such as training of NPHWs, provision of algorithms and protocols for screening, treatment and drug titration were the main enablers of the task-shifting intervention. The main barriers identified were restrictions on prescribing medications and availability of medicines. Only two studies described cost-effective analyses, both of which demonstrated that task-shifting was cost-effective.ConclusionsTask-shifting from physicians to NPHWs, if accompanied by health system re-structuring is a potentially effective and affordable strategy for improving access to healthcare for NCDs. Since the majority of study designs reviewed were of inadequate quality, future research methods should include robust evaluations of such strategies.

Abstract (en): The National Study of Physician Organizations and the Management of Chronic Illness (NSPO) examined relationships among physician organization characteristics and the implementation of care management processes (CMP) aimed at improving outcomes and reducing costs for the treatment of four chronic diseases: asthma, congestive heart failure (CHF), depression, and diabetes. To that end, NSPO conducted this national survey of medical groups and independent practice associations (IPA) with 20 or more physicians. An IPA is defined as an organization through which physicians contract with managed care plans. Examples of CMPs include evidence-based clinical practice guidelines, protocols and pathways, case and care management systems, and disease management, demand management, and health promotion programs. Interviews were conducted with the medical director, president, or chief executive officer of each surveyed physician organization. The survey collected data on (1) practice type, size, age, location, and ownership, (2) governance, management, and use of computerized data systems, (3) revenue and overall financial position, (4) physician compensation models, (5) relationships with health plans and degree of risk assumption, and (6) care management and clinical practice -- particularly in regard to asthma, CHF, depression, and diabetes. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. All medical groups and IPAs in the United States with 20 or more physicians, with the exception of some single-specialty physician organizations composed of specialists who typically do not treat patients for at least one of the chronic diseases of interest (i.e., asthma, CHF, depression, and diabetes). The excluded specialties were radiology, pathology, ophthalmology, anesthesiology, emergency medicine, and/or imaging. Chiropractors, podiatrists, dentists, and optometrists were outside the scope of the study. The goal of NSPO was to collect data on all members of the universe. Four data sources were used to create the sampling frame: the Dorland Healthcare Information 2000 Directory of Physician Groups, the Virginia Commonwealth University Physician Organization Inventory, The National IPA Coalition membership list, and the Medical Group Management Association database. The four sources were used to construct an inventory of medical groups and IPAs with 20 or more physicians, resulting in a contact database of 3,233 organizations, of which 1,646 were found to be ineligible because they could not be located or were no longer in business, were duplicate listings, or did not meet the eligibility criteria. Kaiser Permanente cases were included only on a regional basis, so individual Permanente units were excluded. Of the 1,587 organizations determined to be eligible for the study, 1,104 (69.6 percent) completed the interview. Funding insitution(s): California HealthCare Foundation (01-1159). Robert Wood Johnson Foundation (38690, 040087). computer-assisted telephone interview (CATI)

Characteristics for studies included in qualitative synthesis (n = 9).

The Medicare Fee-For-Service Public Provider Enrollment dataset includes information on providers who are actively approved to bill Medicare or have completed the 855O at the time the data was pulled from the Provider Enrollment, Chain, and Ownership System (PECOS). The release of this provider enrollment data is not related to other provider information releases such as Physician Compare or Data Transparency. 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.

The term “rare diseases” is used to refer to diseases that occur in a relatively small number of people. They often involve specific problems because of the fact that they are rare. You can read more about this here.

The Central Registry of Rare Diseases is a database containing certain basic data of all Belgian patients with a rare disease. At present, data is collected only at the genetic centres, but this will later be extended to other centres in order to gain a complete overview. A registry is a valuable source of information for patients and patient organisations, care providers, researchers and authorities, and can contribute to improvements in several areas (including epidemiology, care policy, quality assurance, research, administration).

All the information on the data collection for this Central Registry of Rare Diseases can be found here. The data that are gathered contains the identification details of the genetic centre and the treating physician (NIHDI-numbers), some demographic data about the patient and details of the diagnosis:

• The demographic data that are gathered about the patient includes: encoded national register number, gender, date of birth, if applicable the date of death, and the zip code for the place of residence.
• In terms of the diagnosis, various data are requested:
  • the date of the first symptoms of the rare disease (defined as the date of the first consultation with a physician for this reason)
  • the date of the first consultation at the specialist healthcare institution
  • the date the current diagnosis was made
  • whether this diagnosis is provisional or definitive
  • the code for the disease within an existing disease classification system
  • the base on which the diagnosis was made (e.g. based on clinical symptoms, genetic test, biochemical test etc.)​.

For any audience, Orphanet ​is the reference portal for information about rare diseases and orphan drugs. The aim of Orphanet is to help to improve diagnosis, care and treatment of patients with a rare disease.