US clinical medicine reference for practitioners: NIH/NLM structured resources (PubMed, MedlinePlus, NCBI Bookshelf), CDC clinical guidance, USPSTF preventive service recommendations, and FDA drug and device safety communications — grounded exclusively in nih.gov, nlm.nih.gov, cdc.gov, uspreventiveservicestaskforce.org, and fda.gov. General clinical reference only, never a substitute for individualized medical judgment.

Reference corpus of heyaftab/national-healthcare-record-exchange at a pinned commit for AI agents: A centralized healthcare record exchange platform for securely managing and sharing patient medical information

Discover the booming medical reference app market! This in-depth analysis reveals market size, growth trends, key players (WebMD, UpToDate, etc.), and future projections to 2033. Learn about regional variations and driving forces shaping this dynamic sector.

A collection of online books and documents in life science and healthcare whose full text can be searched through the Entrez system. Bookshelf provides free online access to books and documents in life science and healthcare.

We created an interactive dashboard that allows a clinician or researcher to easily compare their patient’s or research participants patient-reported, physical function, or strength data to the age-, sex-, and graft-specific reference values published by Kuenze et al. Instructions: The user can enter the sex, age, and graft source of their patient as well as the patient’s data for any or all the patient-reported, physical function, or strength measures included in this study into to corresponding boxes which are outlined in red. After doing so, the values in the “Overall”, “Sex”, “Age”, Age/Sex”, and "Graft" columns will automatically update to reflect the decile in which the patient falls for the overall sample, the sample of patients of the same sex or age group, and the sample of patients in their sex and age group. Reference Value Tables: We have also included detailed descriptive information for each patient-reported, physical function, or strength measure within the overall sample (Tab 2) and separated by biologic sex (Tab 3), age group (Tab 4), biologic sex in each age group (Tab 5), and graft source (Tab 6).

This dataset is highly valuable for medical research categorization and analysis. The structured format allows for efficient information retrieval and classification. The sheet can serve as a well-maintained reference for academic and clinical research. The validation process ensures credibility, making the sheet reliable for further study and use.

General Overview Total Number of Rows and Columns The sheet consists of 50 rows (excluding the header row) and 5 columns. Summary of Column… See the full description on the dataset page: https://huggingface.co/datasets/CNTXTAI0/Medical-Articles.

Explore the dynamic Human Clinical Reference Laboratory market, projected to exceed USD 229 billion by 2033. Discover key growth drivers, emerging trends in diagnostics, CAGR, market size, and regional analysis to understand the future of healthcare testing.

Publication speed, impact, uncited share, self-citation, retractions and scale for Medical Reference Services Quarterly and Information Technology and Libraries, each metric with its unit and which direction is better.

This dataset provides detailed laboratory test results, including test types, quantitative and qualitative outcomes, reference ranges, ordering physician information, specimen details, and timestamps. It enables clinical analysis, patient monitoring, and quality assurance in healthcare settings, supporting interoperability and regulatory compliance.

Industry ecosystem breakdown of companies surveyed and analyzed: Specialized Clinical Reference Laboratories (35%), Functional Medicine Diagnostic Test Kit Manufacturers (30%), Functional Medicine Clinic Chains/Networks (20%), Health Technology/Platform Providers (10%), Academic & Research Institutions (5%).

Graph and download economic data for Medical Services Expenditures by Disease: Other: Residual Codes; Unclassified; All E Codes, MEPS Account Basis (RECOUNEXPMEPS) from 2000 to 2021 about disease, residual, healthcare, medical, health, expenditures, services, and USA.

Bibliographic databases are essential research tools. In medicine, key databases are MEDLINE/PubMed, Embase, and Cochrane Central (MEC). In education, the Education Resource Information Center (ERIC) is a major database. Medical education, situated between medicine and education, has no dedicated database of its own. Many medical education researchers use MEC, some use ERIC and some do not. We performed a descriptive analysis using search strategies to retrieve medical education references from MEC and ERIC. ERIC references which were duplicates with MEC references were removed. Unique ERIC references were tallied. Between 1977 and 2022, MEC has 359,354 unique references relevant to medical education. ERIC provided 3925 unique references for the same period, all of which would be missed by searching only MEC. The mean unique ERIC medical education references per year for all 46 years is 85 (SD = ±29), or 119 (SD = ±15) for the last 10 years from 2013 to 2022. ERIC consistently offered a small yet significant number of unique references relevant to medical education for decades. We recommend the use of ERIC for medical education research when comprehensive literature searches are required, such as in systematic reviews, scoping reviews, evidence synthesis, or guideline development.

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Publication speed, impact, uncited share, self-citation, retractions and scale for Reference Services Review and Medical Reference Services Quarterly, each metric with its unit and which direction is better.

This dataset contains 1,000 structured, context-specific recommendation records derived from 76 English-language Clinical Practice Guidelines (CPGs) published by the Ministry of Health Malaysia, covering 20 clinical specialty categories. It was developed as a CPG-grounded reference dataset for small language model research, instruction tuning, retrieval-augmented generation, clinical guideline retrieval, and recommendation-generation evaluation.

The dataset is provided in JSON Lines (JSONL) format, with one independent record per line. Each record contains three fields:

• “instruction”: A standard request for a CPG recommendation. • “input”: A disease or clinical condition and its specific clinical context. • “output”: A concise CPG-grounded recommendation for that context.

Example:

{"instruction": "Provide standard CPG recommendations.", "input": "Disease: retinopathy of prematurity Clinical context: screening examination", "output": "CPG Recommendation: Use binocular indirect ophthalmoscopy or an approved imaging pathway by trained personnel and document zone, stage, extent, and plus disease."}

The records address clinical contexts such as screening, diagnosis, risk assessment, treatment, medication, monitoring, referral, prevention, follow-up, warning signs, and intervention cessation. A disease may appear in multiple records representing different clinical contexts.

The source CPGs were obtained from official Malaysian Ministry of Health websites. Dataset preparation involved identifying recommendation-bearing content, assigning the relevant disease and clinical context, converting the content into a consistent instruction–input–output structure, and checking JSONL validity, duplication, relevance, and source consistency.

The dataset may be used as an experimental ground-truth reference for model evaluation but has not been independently validated as clinical ground truth by qualified clinical experts. It must not replace the original CPGs, professional medical judgement, diagnosis, or patient-specific treatment decisions.

Copyright in the original CPG documents remains with the Malaysian Ministry of Health or the respective rights holders.

Publication speed, impact, uncited share, self-citation, retractions and scale for Medical Reference Services Quarterly and D-Lib Magazine, each metric with its unit and which direction is better.

The medical reference apps market in Mexico - North America is expected to reach a projected revenue of US$ 34.6 million by 2030. A compound annual growth rate of 11% is expected of Mexico - North America medical reference apps market from 2025 to 2030.

The Drug Reference App Market was valued at USD 1165.4 Million in 2025 and is projected to grow to USD 3500 Million by 2035, at a CAGR of 11.7%. Drug Reference App Market Overview: The Drug Reference App Market Size was valued at 1,043.3 USD Million in 2024. The Drug Reference App Market is expected to grow from 1,165.4 USD Million in 2025 to 3,500 USD Million by 2035. The Drug Reference App Market CAGR (growth rate) is expected to be around 11.7% during the forecast period (2025 - 2035). Key Drug Reference App Market Trends Highlighted The Global Drug Reference App Market is experiencing significant growth driven by several key market drivers. The increasing need for healthcare professionals to access drug information quickly and accurately is a primary factor. As the world becomes more health-conscious, medical practitioners are under pressure to provide immediate and reliable information, which drug reference apps facilitate through real-time data updates and user-friendly interfaces. Additionally, the global push for digitization in healthcare is boosting the demand for these apps, as they integrate seamlessly into electronic health records and telemedicine platforms. Recent trends indicate a growing preference for mobile health solutions among both healthcare providers and patients.The ubiquity of smartphones and tablets has made it easier to access drug information anytime and anywhere, making these apps an essential tool in clinical decision-making. In light of the COVID-19 pandemic, there has been a notable increase in the utilization of digital healthcare resources, which further propels the adoption of drug reference applications. Another trend is the incorporation of AI and machine learning capabilities in these apps, enhancing their functionality by providing personalized experiences and predictive analytics. Moreover, there are numerous opportunities to be explored in this evolving landscape. Expanding adoption in emerging markets presents a substantial avenue for growth, as healthcare systems in these regions increasingly rely on digital solutions.Additionally, partnerships between app developers and pharmaceutical companies can lead to enhanced content accuracy and user engagement, establishing a competitive edge in the market. Overall, the Global Drug Reference App Market is poised for robust expansion as it aligns with the broader trends of digital transformation and personalized healthcare solutions. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Drug Reference App Market Segment Insights: Drug Reference App Market Regional Insights The Regional segment of the Global Drug Reference App Market reveals diverse dynamics across different areas. North America dominates this sector significantly, with a robust valuation of 560 USD Million in 2024 and projected to reach 1,700 USD Million by 2035. This dominance is driven by the advanced healthcare infrastructure and high adoption rates of digital health solutions in the region. Europe displays steady expansion, as increasing demand for mobile health applications enhances its market presence. In APAC, moderate increase is expected, fueled by rising smartphone penetration and a growing emphasis on mobile healthcare solutions.South America is experiencing gradual growth in the adoption of Drug Reference Apps, driven by an improving healthcare landscape. Meanwhile, the MEA region shows potential for upturn, with ongoing investments in digital healthcare initiatives that contribute to market growth. Overall, the trends in each regional area portray a vivid picture of the Global Drug Reference App Market's segmentation, demonstrating areas of opportunity and development influenced by local healthcare demands and technological advancements. Source: Primary Research, Secondary Research, WGR Database and Analyst Review North America : The Drug Reference App Market in North America is driven by advancements in healthcare technology and increasing smartphone adoption among healthcare professionals. The region is witnessing a surge in AI integration for drug-safety monitoring and prescript

Top author-affiliation countries by articles and citations, with shares, affiliation coverage, peer reference ranges and screening results.

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