Difference between revisions of "Quality"

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===Failure-potential analysis===
Adapted from Ullman:<ref name=ullman>{{cite book |title=The mechanical design process |last= Ullman |first = David G. |authorlink= |coauthors= |year= 1997 |publisher= McGraw-Hill Companies Inc. |location= Toronto|isbn=0-07-065756-4 |page= |pages= |url= |accessdate=}}</ref>
#Identify potential individual failures.
#Identify the consequences of those failures.
#Identify how the individual failures can arise.
#Identify the corrective action.


==Error reduction==
==Error reduction==

Revision as of 02:58, 18 January 2012

Quality, in pathology, has got a lot of attention lately because there have been high profile screw-ups that lead to significant harm.[1]

Analysis

Quality issues are examined a number of different ways, e.g. root cause analysis, failure mode and effects analysis (FMEA).

A common way to break down error analysis is:

 
 
 
 
 
 
 
 
Errors in pathology
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Pre-analytical errors
 
 
Analytical errors
 
 
Post-analytical errors

Failure-potential analysis

Adapted from Ullman:[2]

  1. Identify potential individual failures.
  2. Identify the consequences of those failures.
  3. Identify how the individual failures can arise.
  4. Identify the corrective action.

Error reduction

Various strategies can be employed:[3]

  • Training of staff - on error handling.
  • Computer order entry.
    • Avoid duplication fatigue.
    • Quick correlation with several identifying features.
      • Full name, sex, date of birth -- these all appear when one opens a case.
  • Barcode use.
    • Avoid transcription errors.
  • Clinical information entry required.
    • Allow correlation with test.
      • The interpretation may differ if the history says "screening coloscopy" versus "large cecal mass, anemia and weight loss".

Other strategies:

  • Statistical process control.

Sources of error

  • "Human error".
    • Training.
    • Work flow.
  • Process gaps.
    • Process control.
    • Lack of redundancy.

Biopsy size

Very small tissue fragments are associated with a decreased diagnostic yield and an increased diagnostic uncertainty.

Immunohistochemistry

A paper by Torlakovic et al.[4] divides immunohistochemistry (IHC) tests into:

  • Class I:
    • Adjunct to histomorphology.
    • Examples: CD45, S-100.
  • Class II:
    • Considered independent of the other information in the pathology report; thus, cannot be derived from other information in the report.
    • Used directly for treatment decisions.
    • Examples: ER, PR, HER2.

See also

References

  1. URL: http://www.attorneygeneral.jus.gov.on.ca/inquiries/goudge/index.html. Accessed on: 1 March 2011.
  2. Ullman, David G. (1997). The mechanical design process. Toronto: McGraw-Hill Companies Inc.. ISBN 0-07-065756-4.
  3. Fabbretti, G. (Jun 2010). "Risk management: correct patient and specimen identification in a surgical pathology laboratory. The experience of Infermi Hospital, Rimini, Italy.". Pathologica 102 (3): 96-101. PMID 21171512.
  4. Torlakovic, EE.; Riddell, R.; Banerjee, D.; El-Zimaity, H.; Pilavdzic, D.; Dawe, P.; Magliocco, A.; Barnes, P. et al. (Mar 2010). "Canadian Association of Pathologists-Association canadienne des pathologistes National Standards Committee/Immunohistochemistry: best practice recommendations for standardization of immunohistochemistry tests.". Am J Clin Pathol 133 (3): 354-65. doi:10.1309/AJCPDYZ1XMF4HJWK. PMID 20154273.