The Physician and Physician Practice Research Database (3P-RD) captures characteristics of physicians and physician practices in 13 states. The database describes the supply of physician services available across selected states for data year 2019-2020.

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.

Variability in mean payment per physician, number of physicians, and aggregated payments for transactions in the Open Payments database, 2014–2018, for each top-category specialty available for allopathic and osteopathic physicians.

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This data package shows the Physician and Other Healthcare Information like Business Wire Healthcare Press Release Distribution List, Health Professional Shortage Area Mental and Dental Health, Physician Evaluation and Management Medicare Service Events and Physicians Malpractice Payments.

Comprehensive database of physician contact information across all medical specialties in the United States

This dataset tracks the updates made on the dataset "Physician and Physician Practice Research Database (3P-RD)" as a repository for previous versions of the data and metadata.

We offer a doctor database in India that is designed to help you generate highly qualified sales leads. With our Doctors Database, you can easily connect with the appropriate healthcare professionals in India and abroad. These doctor data are invaluable for promoting and selling products, services, and solutions within the healthcare industry, as well as for medical publications, travel-related services, insurance, banking, charity/donations, and memberships, among other areas. All India Doctors Database list consists of approximately 11 lakh doctors in India who are specialists in various fields of medicine. This database of doctors in India includes Doctors across various specialties/fields of medicine such as General Practitioners, Family Physicians, Obstetrics and Gynecology Cardiology, Gastroenterology, Endocrinology and Diabetes, Anesthesia, Pediatrics, Oncology, Emergency Medicine, Neurology, Nephrology, Haematology, Internal Medicine, Dermatology etc.

This data package contains the Physician Quality Reporting System (PQRS), Performance Rates for Individual Eligible Professionals (EP) PQRS, Consumer Assessment of Healthcare Providers and Systems (CAHPS) and Group Practice.

This database has information regarding theoretical knowledge about basic and advanced life support in Ecuadorian physicians.

Comprehensive salary data for hospital employed physicians from 1000 verified submissions

Explore the booming Physician Credentialing Services market analysis, including market size, CAGR, drivers, restraints, and regional growth trends. Discover key insights for healthcare providers and payers.

The Physician Compare website was created by the Centers for Medicare & Medicaid Services (CMS) in December 2010 as required by the Affordable Care Act (ACA) of 2010 to help patients assess and find doctors and hospitals. This dataset contains the information supplied to patients via that website, including patient satisfaction surveys and performance scores across over 100 metrics.

Acknowledgements

This dataset was kindly released by the Centers for Medicare & Medicaid Services. You can find the original copy of the dataset here.

Comprehensive employment and salary data for full-time physicians from 87 verified submissions

Gujarat Doctor Database – Verified & Updated Medical Professionals DirectoryThe All Gujarat Doctor Database is a comprehensive and regularly updated directory of medical professionals across Gujarat. This verified database is perfect for hospitals, pharmaceutical companies, healthcare service pr...

ABSTRACT Objective: to analyze demographic Brazilian medical data from the national public healthcare system (SUS), which provides free universal health coverage for the entire population, and discuss the problems revealed, with particular focus on surgical care. Methods: data was obtained from public healthcare databases including the Medical Demography, the Brazilian Federal Council of Medicine, the Brazilian Institute of Geography and Statistics, and the National Database of Healthcare Establishments. Density and distribution of the medical workforce and healthcare facilities were calculated, and the geographic regions were analyzed using the public private inequality index. Results: Brazil has an average of two physicians for every 1,000 inhabitants, who are unequally distributed throughout the country. There are 22,276 board certified general surgeons in Brazil (11.49 for every 100,000 people). The country currently has 257 medical schools, with 25,159 vacancies for medical students each year, with only around 13,500 vacancies for residency. The public private inequality index is 3.90 for the country, and ranges from 1.63 in the Rio de Janeiro up to 12.06 in Bahia. Conclusions: A significant part of the local population still faces many difficulties in accessing surgical care, particularly in the north and northeast of the country, where there are fewer hospitals and surgeons. Physicians and surgeons are particularly scarce in the public health system nationwide, and better incentives are needed to ensure an equal public and private workforce.

ObjectiveWe evaluated the validity of physician billing claims to identify deceased organ donors in large provincial healthcare databases.MethodsWe conducted a population-based retrospective validation study of all deceased donors in Ontario, Canada from 2006 to 2011 (n = 988). We included all registered deaths during the same period (n = 458,074). Our main outcome measures included sensitivity, specificity, positive predictive value, and negative predictive value of various algorithms consisting of physician billing claims to identify deceased organ donors and organ-specific donors compared to a reference standard of medical chart abstraction.ResultsThe best performing algorithm consisted of any one of 10 different physician billing claims. This algorithm had a sensitivity of 75.4% (95% CI: 72.6% to 78.0%) and a positive predictive value of 77.4% (95% CI: 74.7% to 80.0%) for the identification of deceased organ donors. As expected, specificity and negative predictive value were near 100%. The number of organ donors identified by the algorithm each year was similar to the expected value, and this included the pre-validation period (1991 to 2005). Algorithms to identify organ–specific donors performed poorly (e.g. sensitivity ranged from 0% for small intestine to 67% for heart; positive predictive values ranged from 0% for small intestine to 37% for heart).InterpretationPrimary data abstraction to identify deceased organ donors should be used whenever possible, particularly for the detection of organ-specific donations. The limitations of physician billing claims should be considered whenever they are used.

Comprehensive salary data for government physicians from 841 verified submissions

Distribution of total physician encounters by specialties, 2000–2013.

Salary and employment data for part-time physicians