Real-Time Evidence Based Medicine
Clinical Decision Support
CureHunter is the only fully integrated scientific search, data retrieval and analysis engine on the web that can read the entire US National Library of Medicine Medline Archive and automatically extract and quantify the evidence for successful clinical outcomes of all known drugs for all known human diseases.
· For patients we provide low-cost Summary PDF Reports with all drug evidence for all known cures or symptom improvement
· For medical professionals CureHunter on-line access delivers decision support in 10-20 seconds of real clinical time to make an evidence check as SOP as a BP or Temp
· For pharma research scientists we offer powerful data export functions that deliver over 1.5 million specific clinical outcome data points to new drug discovery software
Google has launched a free tutorial website,
Web search can be a remarkable tool for students, and a bit of instruction in how to search for academic sources will help your students become critical thinkers and independent learners. With the materials on this site, you can help your students become skilled searchers- whether they're just starting out with search, or ready for more advanced training.
With more and more of the world's content online, it is critical that students understand how to effectively use web search to find quality sources appropriate to their task. We've created a series of lessons to help you guide your students to use search meaningfully in their schoolwork and beyond. On this page, you'll find Search Literacy lessons and A Google A Day classroom challenges. Our search literacy lessons help you meet the new Common Core State Standards and are broken down based on level of expertise in search: Beginner, Intermediate, or Advanced.
A Google A Day challenges help your students put their search skills to the test, and to get your classroom engaged and excited about using technology to discover the world around them.
With these webinars, you can improve your own search skills and learn how to bring search literacy to your school. Browse the archive of past trainings, and make sure to
Sensitivity and Predictive Value of 15 PubMed Search Strategies to Answer Clinical Questions Rated Against Full Systematic Reviews
Background: Clinicians perform searches in PubMed daily, but retrieving relevant studies is challenging due to the rapid expansion of medical knowledge. Little is known about the performance of search strategies when they are applied to answer specific clinical questions.
Objective: To compare the performance of 15 PubMed search strategies in retrieving relevant clinical trials on therapeutic interventions.
Methods: We used Cochrane systematic reviews to identify relevant trials for 30 clinical questions. Search terms were extracted fr om the abstract using a predefined procedure based on the population, interventions, comparison, outcomes (PICO) framework and combined into queries. We tested 15 search strategies that varied in their query (PIC or PICO), use of PubMed’s Clinical Queries therapeutic filters (broad or narrow), search lim its, and PubMed links to related articles. We assessed sensitivity (recall) and positive predictive value (precision) of each strategy on the first 2 PubMed pages (40 articles) and on the complete search output.
Results: The performance of the search strategies varied widely according to the clinical question. Unfiltered searches and those using the broad filter of Clinical Queries produced large outputs and retrieved few relevant articles within the first 2 pages, resulting in a median sensitivity of only 10%–25%. In contrast, all searches using the narrow filter performed significantly better, with a median sensitivity of about 50% (all P < .001 compared with unfiltered queries) and positive predictive values of 20%–30% (P < .001 compared with unfiltered queries). This benefit was consistent for most clinical questions. Searches based on related articles retrieved about a third of the relevant studies.
Conclusions: The Clinical Queries narrow filter, along with well-formulated queries based on the PICO framework, provided the greatest aid in retrieving relevant clinical trials within the 2 first PubMed pages. These results can help clinicians apply effective strategies to answer their questions at the point of care.
(J Med Internet Res 2012;14(3):e85)
PubMed Discovery Tools
Canese K. PubMed Discovery Tools. NLM Tech Bull. 2012 May-Jun;(386):e7.
2012 June 08 [posted]
PubMed "Results by year" and PubMed Central "PMC images search" tools will soon display in the discovery column for all PubMed users (see
Figure 1: PubMed results with "Results by year" and "PMC images search" tools.[/CENTER]The "Results by year" timeline tool will display for search results with 10,000 or more citations. Mouseover the bars in the timeline to display the number of citations for each year, click the right and left arrows to display older or newer years, and click the individual bars in the timeline to display the results for a single year
The National Library of Medicine (NLM) is the world's largest library of the health sciences and collects, organizes and makes available biomedical science information to scientists, health professionals and the public.