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

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Comprehensive salary data for hospital employed physicians from 1000 verified submissions

Comprehensive salary data for government physicians from 841 verified submissions

Comprehensive salary data for academic physicians from 637 verified submissions

Our NHS doctors database holds current medical and clinical specialists, and has valid doctors email addresses, for responsive clinical marketing and medical research.

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

This dataset contains search strategies adapted to Medline (Ovid), Embase (Ovid), the Cochrane Library (Wiley), Web of Science, and LILACS. When executed in their respective databases, these strategies retrieve articles on cesarean sections which also contain terms indicating non-physicians, and which also indicate a country on the World Bank's list of Low to Middle Income Countries (as of Jan 2022). The date indicated in this description is the date the searches were performed (search date). The notes field contains the full MEDLINE (Ovid) search strategy, with result numbers removed. Result numbers are included in the rtf files.

Increasing numbers of primary care physicians (PCPs) are reducing their working hours. This decline may affect the workforce and the care provided to patients. This scoping review aims to determine the impact of PCPs working part-time on quality of patient care. A systematic search was conducted using the databases PubMed, CINAHL, Embase, and the Cochrane Library. Peer-reviewed, original articles with either quantitative, qualitative or mixed methods designs, published after 2000 and written in any language were considered. The search strings combined the two concepts: part-time work and primary care. Studies were included if they examined any effect of PCPs working part-time on quality of patient care. The initial search resulted in 2,323 unique studies. Abstracts were screened, and information from full texts on the study design, part-time and quality of patient care was extracted. The final dataset included 14 studies utilising data from 1996 onward. The studies suggest that PCPs working part-time may negatively affect patient care, particularly the access and continuity of care domains. Clinical outcomes and patient satisfaction seem mostly unaffected or even improved. There is evidence of both negative and positive effects of PCPs working part-time on quality of patient care. Approaches that mitigate negative effects of part-time work while maintaining positive effects should be implemented.

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...

Salary and employment data for part-time physicians

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.

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.

PurposeSelf-assessment of a physician’s performance in both procedure and non-procedural activities can be used to identify their deficiencies to allow for appropriate corrective measures. Physicians are inaccurate in their self-assessments, which may compromise opportunities for self- development. To improve this accuracy, video-based interventions of physicians watching their own performance, an experts’ performance or both, have been proposed to inform their self-assessment. We conducted a systematic review of the effectiveness of video-based interventions targeting improved self-assessment accuracy among physicians.Materials and methodsThe authors performed a systematic search of MEDLINE, Embase, EBM reviews, and Scopus databases from inception to August 23, 2022, using combinations of terms for “self-assessment”, “video-recording”, and “physician”. Eligible studies were empirical investigations assessing the effect of video-based interventions on physicians’ self-assessment accuracy with a comparison of self-assessment accuracy pre- and post- video intervention. We defined self-assessment accuracy as a “direct comparison between an external evaluator and self-assessment that was quantified using formal statistical analysis”. Two reviewers independently screened records, extracted data, assessed risk of bias, and evaluated quality of evidence. A narrative synthesis was conducted, as variable outcomes precluded a meta-analysis.ResultsA total of 2,376 papers were initially retrieved. Of these, 22 papers were selected for full-text review; a final 9 studies met inclusion criteria for data extraction. Across studies, 240 participants from 5 specialties were represented. Video-based interventions included self-video review (8/9), benchmark video review (3/9), and/or a combination of both types (1/9). Five out of nine studies reported that participants had inaccurate self-assessment at baseline. After the intervention, 5 of 9 studies found a statistically significant improvement in self-assessment accuracy.ConclusionsOverall, current data suggests video-based interventions can improve self-assessment accuracy. Benchmark video review may enable physicians to improve self-assessment accuracy, especially for those with limited experience performing a particular clinical skill. In contrast, self-video review may be able to provide improvement in self-assessment accuracy for more experience physicians. Future research should use standardized methods of comparison for self-assessment accuracy, such as the Bland-Altman analysis, to facilitate meta-analytic summation.

Comprehensive salary data for private practice physicians from 833 verified submissions

Comprehensive salary data for All Physicians physicians, including compensation trends and practice settings.

Comprehensive Medical Q&A Dataset

Unlocking Healthcare Data with Natural Language Processing

By Huggingface Hub [source]

About this dataset

The MedQuad dataset provides a comprehensive source of medical questions and answers for natural language processing. With over 43,000 patient inquiries from real-life situations categorized into 31 distinct types of questions, the dataset offers an invaluable opportunity to research correlations between treatments, chronic diseases, medical protocols and more. Answers provided in this database come not only from doctors but also other healthcare professionals such as nurses and pharmacists, providing a more complete array of responses to help researchers unlock deeper insights within the realm of healthcare. This incredible trove of knowledge is just waiting to be mined - so grab your data mining equipment and get exploring!

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How to use the dataset

In order to make the most out of this dataset, start by having a look at the column names and understanding what information they offer: qtype (the type of medical question), Question (the question in itself), and Answer (the expert response). The qtype column will help you categorize the dataset according to your desired question topics. Once you have filtered down your criteria as much as possible using qtype, it is time to analyze the data. Start by asking yourself questions such as “What treatments do most patients search for?” or “Are there any correlations between chronic conditions and protocols?” Then use simple queries such as SELECT Answer FROM MedQuad WHERE qtype='Treatment' AND Question LIKE '%pain%' to get closer to answering those questions.

Once you have obtained new insights about healthcare based on the answers provided in this dynmaic data set - now it’s time for action! Use all that newfound understanding about patient needs in order develop educational materials and implement any suggested changes necessary. If more criteria are needed for querying this data set see if MedQuad offers additional columns; sometimes extra columns may be added periodically that could further enhance analysis capabilities; look out for notifications if these happen.

Finally once making an impact with the use case(s) - don't forget proper citation etiquette; give credit where credit is due!

Research Ideas

• Developing medical diagnostic tools that use natural language processing (NLP) to better identify and diagnose health conditions in patients.
• Creating predictive models to anticipate treatment options for different medical conditions using machine learning techniques.
• Leveraging the dataset to build chatbots and virtual assistants that are able to answer a broad range of questions about healthcare with expert-level accuracy

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv | Column name | Description | |:--------------|:------------------------------------------------------| | qtype | The type of medical question. (String) | | Question | The medical question posed by the patient. (String) | | Answer | The expert response to the medical question. (String) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Huggingface Hub.

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)

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.