Applying hierarchical task analysis to medication administration errors
Applying hierarchical task analysis to medication administration errors
Medication use in hospitals is a complex process and is dependent on the successful interaction of health professionals functioning within different disciplines. Errors can occur at any one of the five main stages of prescribing, documenting, dispensing or preparation, administering and monitoring. The responsibility for the error is often placed on the nurse, as she or he is the last person in the drug administration chain whilst more pressing underlying causal factors remain unresolved.
This paper demonstrates how hierarchical task analysis can be used to model drug administration and then uses the systematic human error reduction and prediction approach to predict which errors are likely to occur. The paper also puts forward design solutions to mitigate these errors.
medication administration errors, hta, sherpa, human error
669-679
Lane, Rhonda
e0863810-1537-4c6c-8945-7025f9dc10a1
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Harrison, David
864be260-5888-46c3-a883-c683bd9bcc98
September 2006
Lane, Rhonda
e0863810-1537-4c6c-8945-7025f9dc10a1
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Harrison, David
864be260-5888-46c3-a883-c683bd9bcc98
Lane, Rhonda, Stanton, Neville A. and Harrison, David
(2006)
Applying hierarchical task analysis to medication administration errors.
Applied Ergonomics, 37 (5), .
(doi:10.1016/j.apergo.2005.08.001).
Abstract
Medication use in hospitals is a complex process and is dependent on the successful interaction of health professionals functioning within different disciplines. Errors can occur at any one of the five main stages of prescribing, documenting, dispensing or preparation, administering and monitoring. The responsibility for the error is often placed on the nurse, as she or he is the last person in the drug administration chain whilst more pressing underlying causal factors remain unresolved.
This paper demonstrates how hierarchical task analysis can be used to model drug administration and then uses the systematic human error reduction and prediction approach to predict which errors are likely to occur. The paper also puts forward design solutions to mitigate these errors.
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Published date: September 2006
Keywords:
medication administration errors, hta, sherpa, human error
Identifiers
Local EPrints ID: 75987
URI: http://eprints.soton.ac.uk/id/eprint/75987
ISSN: 0003-6870
PURE UUID: 597cde40-366b-44b2-a073-d7309c15a46d
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Date deposited: 11 Mar 2010
Last modified: 14 Mar 2024 02:54
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Contributors
Author:
Rhonda Lane
Author:
David Harrison
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