Literature DB >> 23304273

Lexical concept distribution reflects clinical practice.

Eugene Breydo1, Maria Shubina, James W Shalaby, Jonathan S Einbinder, Alexander Turchin.   

Abstract

It is not known whether narrative medical text directly reflects clinical reality. We have tested the hypothesis that the pattern of distribution of lexical concept of medication intensification in narrative provider notes correlates with clinical practice as reflected in electronic medication records. Over 29,000 medication intensifications identified in narrative provider notes and 444,000 electronic medication records for 82 anti-hypertensive, anti-hyperlipidemic and anti-hyperglycemic medications were analyzed. Pearson correlation coefficient between the fraction of dose increases among all medication intensifications and therapeutic range calculated from EMR medication records was 0.39 (p = 0.0003). Correlations with therapeutic ranges obtained from two medication dictionaries, used as a negative control, were not significant. These findings provide evidence that narrative medical documents directly reflect clinical practice and constitute a valid source of medical data.

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Year:  2012        PMID: 23304273      PMCID: PMC3540521     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  13 in total

1.  Improving acceptance of computerized prescribing alerts in ambulatory care.

Authors:  Nidhi R Shah; Andrew C Seger; Diane L Seger; Julie M Fiskio; Gilad J Kuperman; Barry Blumenfeld; Elaine G Recklet; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

2.  Identification of patients with diabetes from the text of physician notes in the electronic medical record.

Authors:  Alexander Turchin; Isaac S Kohane; Merri L Pendergrass
Journal:  Diabetes Care       Date:  2005-07       Impact factor: 19.112

3.  Off the record--avoiding the pitfalls of going electronic.

Authors:  Pamela Hartzband; Jerome Groopman
Journal:  N Engl J Med       Date:  2008-04-17       Impact factor: 91.245

4.  Inadequate management of blood pressure in a hypertensive population.

Authors:  D R Berlowitz; A S Ash; E C Hickey; R H Friedman; M Glickman; B Kader; M A Moskowitz
Journal:  N Engl J Med       Date:  1998-12-31       Impact factor: 91.245

5.  Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. UK Prospective Diabetes Study Group.

Authors: 
Journal:  BMJ       Date:  1998-09-12

6.  Using regular expressions to abstract blood pressure and treatment intensification information from the text of physician notes.

Authors:  Alexander Turchin; Nikheel S Kolatkar; Richard W Grant; Eric C Makhni; Merri L Pendergrass; Jonathan S Einbinder
Journal:  J Am Med Inform Assoc       Date:  2006-08-23       Impact factor: 4.497

7.  Quality of diabetes care in U.S. academic medical centers: low rates of medical regimen change.

Authors:  Richard W Grant; John B Buse; James B Meigs
Journal:  Diabetes Care       Date:  2005-02       Impact factor: 19.112

8.  Unlocking clinical data from narrative reports: a study of natural language processing.

Authors:  G Hripcsak; C Friedman; P O Alderson; W DuMouchel; S B Johnson; P D Clayton
Journal:  Ann Intern Med       Date:  1995-05-01       Impact factor: 25.391

9.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

Authors:  D M Nathan; S Genuth; J Lachin; P Cleary; O Crofford; M Davis; L Rand; C Siebert
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

10.  Comparison of information content of structured and narrative text data sources on the example of medication intensification.

Authors:  Alexander Turchin; Maria Shubina; Eugene Breydo; Merri L Pendergrass; Jonathan S Einbinder
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

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