Literature DB >> 3140753

ICD, POR, and DRG. Unsolved scientific problems in the nosology of clinical medicine.

A R Feinstein1.   

Abstract

A system of scientific classification should have a suitable basic axis of organization, standardized names, clearly specified operational criteria, and multiaxial arrangements for citing important attributes beyond those included in the basic axis. During the past century, the main nosologic system for identifying human ailments has been the International Classification of Diseases (ICD), which has a well-organized and well-accepted nomenclature, but which lacks operational criteria and an appropriate multiaxial pattern. Two new systems of classification during the past two decades are intended for other purposes and would not be satisfactory as nosologic substitutes. The Problem-Oriented Record (POR) does not have a standardized nomenclature or criteria; and the Diagnosis-Related Group (DRG) approach was organized mainly for fiscal goals. As the basic taxonomy used for classifying human ailments, the ICD needs substantial improvement to fulfill its scientific role in statistics for the occurrence and treatment of disease.

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Year:  1988        PMID: 3140753     DOI: 10.1001/archinte.148.10.2269

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  13 in total

1.  Nosology and causal necessity; the relation between defining a disease and discovering its necessary cause.

Authors:  F J Flier; P F de Vries Robbé
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2.  Complexity of the concept of disease as shown through rival theoretical frameworks.

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Journal:  Theor Med Bioeth       Date:  2001-06

Review 3.  Administrative data based patient safety research: a critical review.

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4.  Admission and mid-stay MedisGroups scores as predictors of death within 30 days of hospital admission.

Authors:  L I Iezzoni; A S Ash; G Coffman; M A Moskowitz
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Review 5.  The knowledge-to-action cycle: identifying the gaps.

Authors:  Alison Kitson; Sharon E Straus
Journal:  CMAJ       Date:  2009-11-30       Impact factor: 8.262

6.  Measuring the Information Gain of Diagnosis vs. Diagnosis Category Coding.

Authors:  William R Hogan; Vergil N Slee
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  The causal relationship between clinical activity and journal use in a hospital library as analyzed by multiple regression.

Authors:  M L Colglazier
Journal:  Bull Med Libr Assoc       Date:  1996-10

8.  Experiments in concept modeling for radiographic image reports.

Authors:  D S Bell; E Pattison-Gordon; R A Greenes
Journal:  J Am Med Inform Assoc       Date:  1994 May-Jun       Impact factor: 4.497

9.  Non-categorical problem lists in a primary-care information system.

Authors:  R Wilton
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

10.  Two methods for developing and maintaining a database of clinical information on outpatient encounters: a comparison of process, costs, and benefits.

Authors:  L E Rodewald; P G Szilagyi; K D Wrenn; C M Slovis
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991
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