Literature DB >> 10419428

Empirical derivation of an electronic clinically useful problem statement system.

S H Brown1, R A Miller, H N Camp, D A Guise, H K Walker.   

Abstract

Problem lists are tools to improve patient management. In the medical record, they connect diagnoses to therapy, prognosis, and psychosocial issues. Computer-based problem lists enhance paper-based approaches by enabling cost-containment and quality assurance applications, but they require clinically expressive controlled vocabularies. Because existing controlled vocabularies do not represent problem statements at a clinically useful level, we derived a new canonical problem statement vocabulary through semi-automated analysis and distillation of provider-entered problem lists collected over 6 years from 74,696 patients. We combined automated and manual methods to condense 891,770 problem statements entered by 1961 care providers at Grady Memorial Hospital in Atlanta, Georgia, to 15,534 Canonical Clinical Problem Statement System (CCPSS) terms. The nature and frequency of problem statements were characterized, interrelations among them were enumerated, and a database capturing the epidemiology of problems was created. The authors identified 23,503 problem relations (co-occurrences, sign-symptom complexes, and differential diagnoses) and 22,690 modifier words that further categorized "canonical" problems. To assess completeness, CCPSS content was compared with that of the 1997 Unified Medical Language System Metathesaurus (containing terms from 44 clinical vocabularies). Unified Medical Language System terms expressed 25% of individual CCPSS terms exactly (71% of problems by frequency), 27% partially, and 48% poorly or not at all. Clinicians judged that CCPSS terms completely captured their clinical intent for 84% of 686 randomly selected free-text problem statements. The CCPSS represents clinical concepts at a level exceeding that of previous approaches. A similar national approach could create a standardized, useful, shared resource for clinical practice.

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Year:  1999        PMID: 10419428     DOI: 10.7326/0003-4819-131-2-199907200-00008

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  16 in total

1.  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

2.  Information retrieval performance of probabilistically generated, problem-specific computerized provider order entry pick-lists: a pilot study.

Authors:  Adam S Rothschild; Harold P Lehmann
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

Review 3.  Interface terminologies: facilitating direct entry of clinical data into electronic health record systems.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

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

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

5.  Medication and indication linkage: A practical therapy for the problem list?

Authors:  Matthew M Burton; Linas Simonaitis; Gunther Schadow
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

6.  Development and evaluation of a crowdsourcing methodology for knowledge base construction: identifying relationships between clinical problems and medications.

Authors:  Allison B McCoy; Adam Wright; Archana Laxmisan; Madelene J Ottosen; Jacob A McCoy; David Butten; Dean F Sittig
Journal:  J Am Med Inform Assoc       Date:  2012-05-12       Impact factor: 4.497

7.  Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.

Authors:  A B McCoy; A Wright; M Krousel-Wood; E J Thomas; J A McCoy; D F Sittig
Journal:  Appl Clin Inform       Date:  2015-05-20       Impact factor: 2.342

8.  Development of a clinician reputation metric to identify appropriate problem-medication pairs in a crowdsourced knowledge base.

Authors:  Allison B McCoy; Adam Wright; Deevakar Rogith; Safa Fathiamini; Allison J Ottenbacher; Dean F Sittig
Journal:  J Biomed Inform       Date:  2013-12-07       Impact factor: 6.317

9.  Using SNOMED CT to represent two interface terminologies.

Authors:  S Trent Rosenbloom; Steven H Brown; David Froehling; Brent A Bauer; Dietlind L Wahner-Roedler; William M Gregg; Peter L Elkin
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

10.  Impact of subsidizing effective anti-osteoporosis drugs on compliance with management guidelines in patients following low-impact fractures.

Authors:  Yair Liel; Hana Castel; Dan Y Bonneh
Journal:  Osteoporos Int       Date:  2003-04-18       Impact factor: 4.507

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