Literature DB >> 1511593

Performance of a diagnostic system (Iliad) as a tool for quality assurance.

L M Lau1, H R Warner.   

Abstract

Quality assurance improves health care through detection of quality problems and feedback to the care giver. Current review procedures employed by the Peer Review Organizations (PROs), however, appear to underdetect quality problems, particularly those arising from diagnostic errors. We studied the use of an expert diagnostic system, Iliad, to detect quality problems arising from diagnostic errors. One hundred cases were selected from among those Medicare cases reviewed by the Utah PRO (UPRO) and which contained diagnoses recognized by Iliad. Iliad flagged 28 cases out of the 100 as containing diagnostic errors, and a gold standard physician review confirmed quality problems in 17 cases (60.7%). The UPRO review found 28 cases with quality problems, mostly treatment and documentation errors. The quality problems detected by Iliad appeared to be more serious than those detected by the UPRO review. Among the six cases with quality problems detected by both the UPRO and the Iliad review, there was none for which the same quality problem was detected by the two procedures. The two review procedures were therefore complementary.

Mesh:

Year:  1992        PMID: 1511593     DOI: 10.1016/0010-4809(92)90022-3

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  7 in total

1.  Influence of case and physician characteristics on perceptions of decision support systems.

Authors:  E S Berner; R S Maisiak
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

2.  Effects of a decision support system on physicians' diagnostic performance.

Authors:  E S Berner; R S Maisiak; C G Cobbs; O D Taunton
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

Review 3.  Detecting adverse events using information technology.

Authors:  David W Bates; R Scott Evans; Harvey Murff; Peter D Stetson; Lisa Pizziferri; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

4.  Relationships among performance scores of four diagnostic decision support systems.

Authors:  E S Berner; J R Jackson; J Algina
Journal:  J Am Med Inform Assoc       Date:  1996 May-Jun       Impact factor: 4.497

Review 5.  Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.

Authors:  R A Miller
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

6.  Evaluating the quality of a probabilistic diagnostic system using different inferencing strategies.

Authors:  Y C Li; P J Haug
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

7.  In defense of the Desiderata.

Authors:  James J Cimino
Journal:  J Biomed Inform       Date:  2005-12-09       Impact factor: 6.317

  7 in total

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