Literature DB >> 16779119

Inter-rater agreement in physician-coded problem lists.

Adam S Rothschild1, Harold P Lehmann, George Hripcsak.   

Abstract

Coded problem lists will be increasingly used for many purposes in healthcare. The usefulness of coded problem lists may be limited by 1) how consistently clinicians enumerate patients' problems and 2) how consistently clinicians choose a given concept from a controlled terminology to represent a given problem. In this study, 10 physicians reviewed the same 5 clinical cases and created a coded problem list for each case using UMLS as a controlled terminology. We assessed inter-rater agreement for coded problem lists by computing the average pair-wise positive specific agreement for each case for all 10 reviewers. We also standardized problems to common terms across reviewers' lists for a given case, adjusting sequentially for synonymy, granularity, and general concept representation. Our results suggest that inter-rater agreement in unstandardized problem lists is moderate at best; standardization improves agreement, but much variability may be attributable to differences in clinicians' style and the inherent fuzziness of medical diagnosis.

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Year:  2005        PMID: 16779119      PMCID: PMC1560827     

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


  23 in total

1.  Automated coded ambulatory problem lists: evaluation of a vocabulary and a data entry tool.

Authors:  Samuel J Wang; David W Bates; Henry C Chueh; Andrew S Karson; Saverio M Maviglia; Julie A Greim; Jennifer P Frost; Gilad J Kuperman
Journal:  Int J Med Inform       Date:  2003-12       Impact factor: 4.046

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.  Extracting medical knowledge for a coded problem list vocabulary from the UMLS Knowledge Sources.

Authors:  J W Hales; K M Schoeffler; D P Kessler
Journal:  Proc AMIA Symp       Date:  1998

Review 4.  Desiderata for controlled medical vocabularies in the twenty-first century.

Authors:  J J Cimino
Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

5.  The rubber meets the road: integrating the Unified Medical Language System Knowledge Source Server into the computer-based patient record.

Authors:  K B Johnson; E B George
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

6.  Categorization of free-text problem lists: an effective method of capturing clinical data.

Authors:  J Zelingher; D M Rind; E Caraballo; M S Tuttle; N E Olson; C Safran
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

7.  A simple approach to physician entry of patient problem list.

Authors:  H J Scherpbier; R S Abrams; D H Roth; J J Hail
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

8.  A comparison of four schemes for codification of problem lists.

Authors:  J R Campbell; T H Payne
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

9.  Standardized problem list generation, utilizing the Mayo canonical vocabulary embedded within the Unified Medical Language System.

Authors:  P L Elkin; D N Mohr; M S Tuttle; W G Cole; G E Atkin; K Keck; T B Fisk; B H Kaihoi; K E Lee; M C Higgins; H J Suermondt; N Olson; P L Claus; P C Carpenter; C G Chute
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

10.  Searching for answers on a clinical information system.

Authors:  C Safran
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

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  9 in total

1.  Variation of SNOMED CT coding of clinical research concepts among coding experts.

Authors:  James E Andrews; Rachel L Richesson; Jeffrey Krischer
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

2.  Building an automated problem list based on natural language processing: lessons learned in the early phase of development.

Authors:  Imre Solti; Barry Aaronson; Grant Fletcher; Magdolna Solti; John H Gennari; Melissa Cooper; Tom Payne
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

3.  Performance of a computable phenotype for pediatric asthma using the problem list.

Authors:  Monica Tang; Benjamin A Goldstein; Jingye He; Jillian H Hurst; Jason E Lang
Journal:  Ann Allergy Asthma Immunol       Date:  2020-07-17       Impact factor: 6.347

4.  Characterizing the Utilization of the Problem List for Pediatric Trauma Care.

Authors:  Ashimiyu B Durojaiye; Nicolette McGerorge; Webster Kristen; Cagla Oruc; James C Fackler; Ayse P Gurses
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

5.  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

6.  Healthcare provider attitudes towards the problem list in an electronic health record: a mixed-methods qualitative study.

Authors:  Casey Holmes; Michael Brown; Daniel St Hilaire; Adam Wright
Journal:  BMC Med Inform Decis Mak       Date:  2012-11-11       Impact factor: 2.796

7.  CDEGenerator: an online platform to learn from existing data models to build model registries.

Authors:  Julian Varghese; Michael Fujarski; Stefan Hegselmann; Philipp Neuhaus; Martin Dugas
Journal:  Clin Epidemiol       Date:  2018-08-10       Impact factor: 4.790

8.  Web-Based Information Infrastructure Increases the Interrater Reliability of Medical Coders: Quasi-Experimental Study.

Authors:  Julian Varghese; Sarah Sandmann; Martin Dugas
Journal:  J Med Internet Res       Date:  2018-10-15       Impact factor: 5.428

9.  Recording problems and diagnoses in clinical care: developing guidance for healthcare professionals and system designers.

Authors:  Anoop Dinesh Shah; Nicola J Quinn; Afzal Chaudhry; Ralph Sullivan; Julian Costello; Dermot O'Riordan; Jan Hoogewerf; Martin Orton; Lorraine Foley; Helene Feger; John G Williams
Journal:  BMJ Health Care Inform       Date:  2019-12
  9 in total

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