Literature DB >> 22195218

Comparative analysis of the VA/Kaiser and NLM CORE problem subsets: an empirical study based on problem frequency.

Adam Wright1, Joshua Feblowitz, Allison B McCoy, Dean F Sittig.   

Abstract

The problem list is a critical component of the electronic medical record, with implications for clinical care, provider communication, clinical decision support, quality measurement and research. However, many of its benefits depend on the use of coded terminologies. Two standard terminologies (ICD-9 and SNOMED-CT) are available for problem documentation, and two SNOMED-CT subsets (VA/KP and CORE) are available for SNOMED-CT users. We set out to examine these subsets, characterize their overlap and measure their coverage. We applied the subsets to a random sample of 100,000 records from Brigham and Women's Hospital to determine the proportion of problems covered. Though CORE is smaller (5,814 terms vs. 17,761 terms for VA/KP), 94.8% of coded problem entries from BWH were in the CORE subset, while only 84.0% of entries had matches in VA/KP (p<0.001). Though both subsets had reasonable coverage, CORE was superior in our sample, and had fewer clinically significant gaps.

Entities:  

Mesh:

Year:  2011        PMID: 22195218      PMCID: PMC3243236     

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


  16 in total

1.  A security architecture for query tools used to access large biomedical databases.

Authors:  Shawn N Murphy; Henry C Chueh
Journal:  Proc AMIA Symp       Date:  2002

2.  An applied evaluation of SNOMED CT as a clinical vocabulary for the computerized diagnosis and problem list.

Authors:  Henry Wasserman; Jerome Wang
Journal:  AMIA Annu Symp Proc       Date:  2003

3.  Integrating SNOMED CT into the UMLS: an exploration of different views of synonymy and quality of editing.

Authors:  Kin Wah Fung; William T Hole; Stuart J Nelson; Suresh Srinivasan; Tammy Powell; Laura Roth
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

4.  Best practices for problem lists in an EHR.

Authors:  Raeanna Bonetti; Joe Castelli; Jennifer L Childress; Joan Cohen; Lisa Hanson; Maribeth Hernan; Teonna Ingram; Daniel A Kowalczyk; Mary Lambert; Melanie Loucks; Katherine Maddox; Sue Mitchell; Deborah Neville; Susan Penders; Clarice P Smith; Sharon Sprenger; Kimberly Suggs; Anne Tegen; Patricia S Wilson
Journal:  J AHIMA       Date:  2008-01

5.  A description and functional taxonomy of rule-based decision support content at a large integrated delivery network.

Authors:  Adam Wright; Howard Goldberg; Tonya Hongsermeier; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

6.  SNOMED RT: a reference terminology for health care.

Authors:  K A Spackman; K E Campbell; R A Côté
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

7.  Medical records that guide and teach.

Authors:  L L Weed
Journal:  N Engl J Med       Date:  1968-03-21       Impact factor: 91.245

8.  Evaluation of the content coverage of SNOMED CT: ability of SNOMED clinical terms to represent clinical problem lists.

Authors:  Peter L Elkin; Steven H Brown; Casey S Husser; Brent A Bauer; Dietlind Wahner-Roedler; S Trent Rosenbloom; Ted Speroff
Journal:  Mayo Clin Proc       Date:  2006-06       Impact factor: 7.616

9.  Distribution of Problems, Medications and Lab Results in Electronic Health Records: The Pareto Principle at Work.

Authors:  Adam Wright; David W Bates
Journal:  Appl Clin Inform       Date:  2010       Impact factor: 2.342

10.  A case report: using SNOMED CT for grouping Adverse Drug Reactions Terms.

Authors:  Iulian Alecu; Cedric Bousquet; Marie-Christine Jaulent
Journal:  BMC Med Inform Decis Mak       Date:  2008-10-27       Impact factor: 2.796

View more
  4 in total

1.  Identifying inconsistencies in SNOMED CT problem lists using structural indicators.

Authors:  Ankur Agrawal; Yehoshua Perl; Yan Chen; Gai Elhanan; Mei Liu
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

2.  Design, Development, and Initial Evaluation of a Terminology for Clinical Decision Support and Electronic Clinical Quality Measurement.

Authors:  Yanhua Lin; Catherine J Staes; David E Shields; Vijay Kandula; Brandon M Welch; Kensaku Kawamoto
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

3.  Is the problem list in the eye of the beholder? An exploration of consistency across physicians.

Authors:  John C Krauss; Philip S Boonstra; Anna V Vantsevich; Charles P Friedman
Journal:  J Am Med Inform Assoc       Date:  2016-03-21       Impact factor: 4.497

4.  An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT.

Authors:  Kin Wah Fung; Julia Xu
Journal:  J Am Med Inform Assoc       Date:  2015-02-26       Impact factor: 4.497

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.