Using Data to Improve Patient Outcomes

March 7th, J105, 9:45am-12:20pm

Library & Knowledge Services is pleased to invite you to a live webinar on the use of data to improve patient outcomes. The forum will provide an overview of current and potential uses of patient data from the electronic health record to improve patient safety, quality of care and evidence-based practice.

There will be four 30-min talks; feel free to drop in for one or for the whole session.

 Although designed for health sciences librarians the organizers expect a diverse audience to benefit from the presentations and discussion. The forum has two objectives:

  • Participants will gain increased awareness of the role of data to improve healthcare delivery; and
  • Participants will gain knowledge about emerging uses of clinical data mining to improve evidence-based practice.

More details here.

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Mapping the Intersections between Disciplines

Librarians perform scoping searches to highlight the amount and makeup of literature on a given topic. Searches can be visualized in various ways. Below are two samples for a search on connective tissue diseases, interstitial lung diseases and undifferentiated connective tissue diseases.

Figure 1. Visual groups of related keywords and Medical Subject Headings

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Figure 2. Mapping content with Venn diagrams using eulerAPE

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1 Colquhoun HL, Levac D, O’Brien KK, et al. Scoping reviews: time for clarity in definition, methods, and reporting. J Clin Epidemiol 2014; 67:1291-1294.

2 Micallef L, Rodgers P. eulerAPE: drawing area-proportional 3-Venn diagrams using ellipses. PLoS One 2014; 9:e101717.

3 Fischer A, West SG, Swigris JJ, et al. Connective tissue disease-associated interstitial lung disease: a call for clarification. Chest 2010; 138:251-256.

4 Fischer A, Antoniou KM, Brown KK, et al. An official European Respiratory Society/American Thoracic Society research statement: interstitial pneumonia with autoimmune features. Eur Respir J 2015; 46:976-987.

PMC Manuscript Collection Available for Text Mining

As reported by the National Network of Libraries of Medicine (see original post):

NIH-supported scientists have made over 300,000 author manuscripts available in PMC. Now NIH is making these papers accessible to the public in a format that will allow robust text analyses.

You can download the PMC collection of NIH-supported author manuscripts as a package in either XML or plain-text format at ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/manuscript/. The collection encompasses all NIH manuscripts posted to PMC that were published in July 2008 or later. While the public can access the manuscripts’ full text and accompanying figures, tables, and multimedia via the PMC website, the newly available XML and plain-text files include full text only. In addition to text mining, the files may be used consistent with the principles of fair use under copyright law.

Please note that these author manuscript files are not part of the PMC Open Access Subset.

The NIH Office of Extramural Research developed this resource to increase the impact of NIH funding. Through this collection, scientists will be able to analyze these manuscripts, further apply NIH research findings, and generate new discoveries.

For more information and instructions, please visit the PMC author manuscript collection webpage.

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