The Unified Medical Language System (UMLS) has a new homepage that features an updated design for a better user experience. It highlights the license sign-up link and content downloads as well as the browser and API, organizes training and documentation material, and provides links to related terminology resources at NLM. Additionally, the page features a new “Local Installation” menu. The new design is responsive to varying screen sizes.
Archive for the ‘Search Tools’ Category
Registration is available for the next NCBI Minute webinar on Wednesday, May 4, at 9:00 AM PDT. The presentation will include a short tutorial that will teach two ways to filter PubMed searches for publications linked to clinical trials in clinicaltrials.gov; you’ll also learn how to use the ClinicalTrials database to get more information on trials of interest.
After registering, you will receive a confirmation email with information about attending the webinar. After the live presentation, the webinar will be uploaded to the NCBI YouTube channel. Any related materials will be accessible on the Webinars and Courses page; future webinars are also listed on this page.
On March 22 the NLM History of Medicine Division’s image database, Images from the History of Medicine (IHM), launched in Open-iSM, the National Library of Medicine’s open access biomedical image search engine from the Lister Hill National Center for Biomedical Communications (LHNCBC). Open-iSM enables search and retrieval of abstracts and images (including charts, graphs, clinical images, etc.) from open source literature and biomedical image collections. IHM’s nearly 70,000 images now join over 1.6 million images already available through Open-iSM from sources including the open access subset of PMC, a free full-text archive of biomedical and life sciences journal literature at the National Library of Medicine, the Indiana University hospital network, and the Orthopaedic Surgical Anatomy Teaching Collection at the University of Southern California (USC) Digital Library. For additional details, visit NLM’s Circulating Now blog posting.
On April 6 the National Library of Medicine (NLM) Value Set Authority Center (VSAC), in collaboration with the Office of the National Coordinator for Health Information Technology (ONC) and Centers for Medicare & Medicaid Services (CMS), published the 2016 annual update for the electronic clinical quality measure (eCQM) value sets for eligible hospitals and eligible professionals. Providers will use these updated eCQM value sets to electronically report 2017 quality data for CMS quality reporting programs. CMS updates these electronic reporting specifications annually to improve alignment with current clinical guidelines and code systems so that they remain relevant and actionable within the clinical care setting. CMS has re-specified all of the updated measures using Quality Data Model (QDM) 4.2 based-HQMF version R 2.1.
Access to the VSAC suite of tools requires a free Unified Medical Language System® Metathesaurus License.
- Application Programming Interface (API): Programmatically retrieve value sets. Find VSAC API documentation in the VSAC Support Center.
- VSAC Web Page: Browse and download specific eCQM value sets. Filter by specific CMS eMeasure ID, QDM Category, or Meaningful Use Measure type (EH or EP). Accessible from the Search Value Sets tab on the VSAC Web page.
- Data Element Catalog: Data element names (value set names) required for capture in electronic health record (EHR) technology certified under the 2014 Edition of the ONC Standards and Certification Criteria.
- VSAC Collaboration Tool: Interactive and centralized collaboration among VSAC authors and collaborators. Find VSAC Collaboration documentation in the VSAC Support Center.
The updated eCQM measure specifications are available in the CMS eCQM Library and the Electronic Clinical Quality Improvement (eCQI) Resource Center.
- CMS eCQM Library: Guidance for understanding and using the eligible hospital and eligible professional Clinical Quality Measures.
- Electronic Clinical Quality Improvement (eCQI) Resource Center: One-stop shop for the most current resources to support Electronic Clinical Quality Improvement.
- ONC Clinical Quality Measure Feedback System: EHR technology developer and user communities can provide feedback regarding the implementation, structure, intent, and data elements pertaining to eCQMs.
- Questions about eCQM value sets? Contact NLM Value Set Authority Center Help.
PubMed subject filter strategies are reviewed each year to determine if modifications are necessary. Modifications may include revisions due to changes in Medical Subject Heading (MeSH) vocabulary or MEDLINE journals, adding or deleting terms, and changing parts of a strategy to optimize retrieval. The following subset strategies were recently revised:
- Complementary Medicine
- Dietary Supplements
- Space Life Sciences
- Systematic Reviews
The National Library of Medicine (NLM) announced its Pill Image Recognition Challenge January 19, 2016 in the Federal Register. The Pill Image Recognition Challenge will also be posted on Challenge.gov. The submission period for the Challenge is April 4, 2016 to May 31, 2016, with winners announced August 1, 2016.
The Pill Image Recognition Challenge is a National Institutes of Health (NIH) Challenge under the America COMPETES (Creating Opportunities to Meaningfully Promote Excellence in Technology, Education, and Science) Reauthorization Act of 2010 (Public Law 111-358). Through this Challenge the National Library of Medicine (NLM) seeks algorithms and software to match images of prescription oral solid-dose pharmaceutical medications (pills, including capsules and tablets). The objective of the Challenge is the development and discovery of high-quality algorithms and software that rank how well consumer images of prescription pills match reference images of pills in the authoritative NLM RxIMAGE database. NLM will use the Challenge entries (i.e., algorithm and software) to create a future API (Application Programming Interface) and a future software system for pill image recognition; the API will be freely accessible and the system will be freely usable.
For further details, visit the NLM News & Events page.
Join NCBI staff for the upcoming webinars on RefSeq and NCBI Graphical Viewers (including Sequence Viewer and Variation Viewer):
Eukaryotic Genome Data Curation at NCBI
Tuesday, January 5, 2016, 10:00-11:00 am PST
What do a fish, a plant, and a protozoan have in common? These are all example organisms for which NCBI Reference Sequence (RefSeq) staff manually examine and improve the scientific data in NCBI Assembly, Gene, Genome, and RefSeq (among other) databases. The RefSeq project spans viruses to human and in this webinar, three RefSeq biocurators will focus on aspects of data curation for eukaryotic organisms. We will discuss several aspects of manual curation including sequence analysis, functional annotation, data validation and community collaboration. We will also highlight how these curation efforts improve the programmatic approaches used by RefSeq genome annotation pipelines, which allow NCBI to handle the ever-increasing amount of data generated by researchers.
NCBI Minute: New track options for getting the most out of NCBI Graphical Viewers
Thursday, January 7, 2016, 9:00-9:15 am PST
New track options in the NCBI graphical viewers and genome browsers provide powerful features including seven different NCBI Recommended Track Sets, the ability to create, save and share custom track sets as a collection in My NCBI. You will learn how to use these new features as well see how to search and quickly find relevant tracks and to upload your own custom data. This webinar will help you get the most out of the NCBI Graphical Sequence Viewer, Variation Viewer and other NCBI graphical browsers.
MedlinePlus and MedlinePlus en español currently have over 950 health topics in both English and Spanish. These health topic pages contain collections of vetted links to consumer health resources, which are organized into subcategories. On January 12, 2016, in an effort to simplify and streamline the subcategories schema, the following changes were made to both MedlinePlus and MedlinePlus en español:
- “Finance and Policy”
- “Diagnosis and Tests”
- “Prevention and Risks Factors”
- Videos and Tutorials into “Videos and Tutorials”
- Specific Conditions to “Specifics”
As of December 15, PubMed/MEDLINE citations (including the backlog of citations indexed since November 18 with 2016 MeSH), the MeSH database, and the NLM Catalog were updated to reflect 2016 MeSH. The MeSH translation tables were also updated on December 15. Now that end-of-year activities are complete, MEDLINE/PubMed may be searched using 2016 MeSH vocabulary. See MEDLINE Data Changes — 2016 for details on the data changes. On December 16, NLM resumed daily MEDLINE updates to PubMed.
Earlier this year PubMed Health was expanded with research on research methods. These are studies and guidance for doing systematic reviews and helping them make an impact. A new resource takes this process a step further; the PubMed Systematic Review Methods Filter, as well as a new section at PubMed Health “For Researchers.” Also available are new glossary pages especially for research methods for anyone who wants to understand more about the mechanics of health research. The glossary will grow to cover the most common research terms used in PubMed Health.
Whenever you search in PubMed Health, you also get results from PubMed using the new filter. They will appear to the right of the main search results, in a box called “Systematic Review Methods in PubMed.” It’s below a box called “Systematic Reviews in PubMed,” which is a search for systematic reviews themselves. The filter searches through a subset of PubMed records that are either research or guidance on systematic review methods. The publications could relate to the development or evaluation of any step in doing or using systematic reviews. To use the filter in PubMed, enter sysrev_methods [sb] in the search box. You can use it like any search term, for example, sysrev_methods [sb] AND “network meta-analysis.”
The methods filter is a result of collaboration between the PubMed Health team and the Scientific Resource Center (SRC) for the U.S. Agency for Healthcare Research and Quality (AHRQ). The SRC team selects the publications, after scanning widely every day looking for new candidates. When you see a systematic review at PubMed Health, there will often be a methods box to the right. That links to the relevant methods guide from the organization behind the review. Six groups so far have started contributing their methods guidance and research to PubMed Health. You can see the list on the new “For Researchers” page.
Navigation isn’t the only part of PubMed Health with a new look. The homepage also has a new design. For further details, visit the PubMed Health Blog.