Literature DB >> 9929226

Just-in-time coding of the problem list in a clinical environment.

J J Warren1, J Collins, C Sorrentino, J R Campbell.   

Abstract

Clinically useful problem lists are essential to the CPR. Providing a terminology that is standardized and understood by all clinicians is a major challenge. UNMC has developed a lexicon to support their problem list. Using a just-in-time coding strategy, the lexicon is maintained and extended prospectively in a dynamic clinical environment. The terms in the lexicon are mapped to ICD-9-CM, NANDA, and SNOMED International classification schemes. Currently, the lexicon contains 12,000 terms. This process of development and maintenance of the lexicon is described.

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Year:  1998        PMID: 9929226      PMCID: PMC2232253     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  8 in total

1.  Clinical terminologies and computer-based patient records.

Authors:  S P Cohn; C G Chute
Journal:  J AHIMA       Date:  1997-02

2.  Toward standardization of health information.

Authors:  M S Greenberg; J M Jones
Journal:  J AHIMA       Date:  1997-02

Review 3.  Health status measurement in computer-based patient record systems.

Authors:  S B Henry; M Lush; M Costantino; K Sousa; C N Mead; W L Holzemer
Journal:  Nurs Adm Q       Date:  1997

Review 4.  Review paper: coding systems in health care.

Authors:  J J Cimino
Journal:  Methods Inf Med       Date:  1996-12       Impact factor: 2.176

5.  The content coverage of clinical classifications. For The Computer-Based Patient Record Institute's Work Group on Codes & Structures.

Authors:  C G Chute; S P Cohn; K E Campbell; D E Oliver; J R Campbell
Journal:  J Am Med Inform Assoc       Date:  1996 May-Jun       Impact factor: 4.497

6.  Medical records that guide and teach.

Authors:  L L Weed
Journal:  N Engl J Med       Date:  1968-03-14       Impact factor: 91.245

7.  Phase II evaluation of clinical coding schemes: completeness, taxonomy, mapping, definitions, and clarity. CPRI Work Group on Codes and Structures.

Authors:  J R Campbell; P Carpenter; C Sneiderman; S Cohn; C G Chute; J Warren
Journal:  J Am Med Inform Assoc       Date:  1997 May-Jun       Impact factor: 4.497

8.  Patient Core Data Set. Standard for a longitudinal health/medical record.

Authors:  A L Renner; J C Swart
Journal:  Comput Nurs       Date:  1997 Mar-Apr
  8 in total
  15 in total

1.  Medical problem and document model for natural language understanding.

Authors:  Stephanie Meystre; Peter J Haug
Journal:  AMIA Annu Symp Proc       Date:  2003

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.  Migrating existing clinical content from ICD-9 to SNOMED.

Authors:  Prakash M Nadkarni; Jonathan A Darer
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

4.  The UMLS-CORE project: a study of the problem list terminologies used in large healthcare institutions.

Authors:  Kin Wah Fung; Clement McDonald; Suresh Srinivasan
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

5.  Drug safety surveillance using de-identified EMR and claims data: issues and challenges.

Authors:  Prakash M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

6.  Development and evaluation of methods for structured recording of heart murmur findings using SNOMED-CT post-coordination.

Authors:  Julie M Green; Jeffrey R Wilcke; Jonathon Abbott; Loren P Rees
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

7.  Inter-rater agreement in physician-coded problem lists.

Authors:  Adam S Rothschild; Harold P Lehmann; George Hripcsak
Journal:  AMIA Annu Symp Proc       Date:  2005

8.  Handling age specification in the SNOMED CT to ICD-10-CM cross-map.

Authors:  Junchuan Xu; Kin Wah Fung
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

9.  Assessing the accuracy of an inter-institutional automated patient-specific health problem list.

Authors:  Lise Poissant; Laurel Taylor; Allen Huang; Robyn Tamblyn
Journal:  BMC Med Inform Decis Mak       Date:  2010-02-23       Impact factor: 2.796

10.  Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study.

Authors:  Prakash M Nadkarni; Jonathan D Darer
Journal:  BMC Med Inform Decis Mak       Date:  2010-10-28       Impact factor: 2.796

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