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Rapid information retrieval by creating a parallel implementation of Medline Bob Badgett Dept of Medicine UTHSC San Antonio 1/2006.

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Presentation on theme: "Rapid information retrieval by creating a parallel implementation of Medline Bob Badgett Dept of Medicine UTHSC San Antonio 1/2006."— Presentation transcript:

1 Rapid information retrieval by creating a parallel implementation of Medline Bob Badgett Dept of Medicine UTHSC San Antonio 1/2006

2 As Mark Twain reportedly put it, "Be careful about reading health books; you may die of a misprint" Johnson T. NEJM 1998

3 X Only errors that led to proximate adverse event Discharges have 12% adverse events

4 The most common diagnosis in primary care is… Questions occur in 1/3 of visits –We pursue answers to 55% of their questions –Find answers to 70% (with difficulty in 40%) –Result is only 40% of their questions being answered (guessing in 60%) The “diagnosis of information failure” occurs in about 20% of patients –Twice as common as the most frequent single primary care diagnosis

5 MEDLINE searching is misery when in a hurry –30 minutes to search –50% of clinical searches by experts fail –Compared to librarians, clinicians find 50% less relevant articles 50% more irrelevant articles Doctors have two minutes available

6 Current search engine http://SUMSearch.uthscsa.edu –Live searching of MEDLINE –Iterative searching –400 - 500 queries per day –Internationally recognized Review: equivalent to PubMed –Basis of current grant proposals NLM in collaboration with American College of Physicians, Thomson-MicroMedex, others

7 Current method http://sumsearch.uthscsa.edu –Externally searches MEDLINE via PubMed –PubMed’s publicly stated limit is one search every 8 seconds –We do ~6 per query

8 Users of proposal Department of Medicine, UTHSC San Antonio –Bob Badgett School of Health Information Sciences, UTHSC Houston –Elmer Bernstam

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10 Knowledge management – 1. Vastness USPSTF 1 – 1989: 60 Topics USPSTF 2 – 1996: 70 Topics USPSTF 3 – 2000-2003: >80 Topics Prevention: 7.4 hours/day Rx: Increasing # of meds

11 Knowledge management – Vast & complex Articles come –13 million citations –Half million added per year –MEDLINE’s doubling time is 15 years Articles go –1/3 of research eventually refuted/attenuated JAMA. 2005. PMID: 16014596 –Original studies - T1/2 = 45 years Ann Intern Med. 2002. PMID: 12069563 –Practice guidelines – T1/2 = 6 years JAMA. 2001. PMID: 11572738 Some articles never should have been –25 of 33 streptokinase studies maybe were not needed. PMID: 1614465 But there is more…

12 Knowledge management – Misinformation Manuscript reviewers prefer manuscripts they agree with –J Lab Clin Med. 1994. PMID: 8051481 Quality of reviews and textbooks –Original author misquoted in 15% of references –Errors in citation of references - 25% BMJ 1985. PMID: 3931753 Biases that hinder disseminination –Publication bias against negative studies BMJ 1998. PMID: 98113104 Industry sponsored research Media coverage of unpublished articles –1/3 never published

13 Proposed search engine http://medinformatics.uthscsa.edu/grant-public/

14 Overall strategy Search ‘systematic textbook’ –PIER (American College of Physicians) Depending on query –National Guidelines Clearinghouse –FDA –CDC –Others In case nothing found (20%?) –Evidence is too subtle or recent –MEDLINE

15 MEDLINE the data 15 million records in xml –Currently 52 GBs –Growing at 6 GBs per year Updated weekly Its thesaurus, MeSH is 23 descriptors and is updated yearly The UMLS meta-thesaurus has 5 million concept names

16 MEDLINE Strategy Original studies Systematic reviews Practice guidelines Other types 3-4 iterations with increasingly restrictive limits 12 searches per query Need subscecond


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