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Information and Knowledge Management using ArcGIS ModelBuilder

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Mohamad Norzamani Sahroni <strong>and</strong> Maryati Mohd Yusof<br />

attributed to lack of underst<strong>and</strong>ing of the evaluation process (Tuten 2009) on the overall medical error<br />

management (Donabedian <strong>and</strong> Bashshur 2003, Hakimzada et al. 2008, Patel <strong>and</strong> Kane-Gill 2010). It<br />

also includes lack of the definition <strong>and</strong> the classification on type of error occurred (Zapf et al. 1992,<br />

Vozikis 2009, Habraken <strong>and</strong> Van Der Schaaf 2010) <strong>and</strong> limited error identification (Esimai 2005,<br />

Koppel et al. 2008, Garfield et al. 2009) of medical processes. Furthermore, it may also contribute to<br />

the difficulty to perform evaluation process (Mohd Yusof 2007) due to the complexity of medical<br />

process (Hübner-Bloder <strong>and</strong> Ammenwerth 2009). So, evaluation of medical error should be allencompassing<br />

in its specific setting if not entirely in the whole complex health care systems in order to<br />

get holistic underst<strong>and</strong>ing on the occurrence of error, <strong>and</strong> how well HIS is integrated <strong>and</strong> supported<br />

medical processes (Garcia-Smith 2007, Hübner-Bloder <strong>and</strong> Ammenwerth 2009). Thus, with a clear<br />

definition <strong>and</strong> classification type of error in HIS, it is expected to underst<strong>and</strong> the extent of HIS<br />

outcome in reducing error as well as nurturing new error in medical process.<br />

3.1.1 Definition of error<br />

Various definitions of error have been applied towards patient safety but there was lack of st<strong>and</strong>ard<br />

definitions <strong>and</strong> taxonomy of medical errors (Vozikis 2009) especially to have a definition of error that<br />

associates with HIS. This situation bring more issues to this area of study that lead to unclear <strong>and</strong><br />

uniform of medical error reporting. Error in general is defined as “failure of planned actions to achieve<br />

their desired goal” (Reason 1995). Cosby (2003) defines error as “a failure to meet some realistic<br />

expectation (an action, process, diagnosis, or endpoint. Therefore, this research context will define<br />

error in HIS is referred to the failure of HIS to attain its desired goal in reducing error <strong>and</strong>/or<br />

preventing new error to occur in medical process because of following wrong or incomplete planned<br />

action or deviating from its original planned action. Failure in the given definition is referring to the<br />

partial failure of HIS instead of total failure where there might be certain goal is not attained or HIS is<br />

produced undesirable outcome (Heeks 2006) such as new error.<br />

3.1.2 Type of error<br />

Literature shows that there are lacks of uniform classification on type of medical error (Vozikis 2009).<br />

This may be resulting of unclear type of error reduces or nurtures in HIS. Table 1 summarizes<br />

different classification on type of medical error.<br />

According to Leape (1993), type of medical error can be viewed from four types of diagnostic,<br />

treatment, preventive <strong>and</strong> other types. This kind of classification is based on general medical<br />

management process where the sub type of error might be changed according to setting <strong>and</strong> context.<br />

Whilst (Koppel et al. 2005) used themes to describe its two types of error; information error <strong>and</strong> HIS<br />

interface flaws. Koppel et al. study is based on the identified 22 previously unexplored medicationerror<br />

in CPOE.<br />

Meanwhile Reason’s (1995) Theory of Human Error proposed that medical error is divided into two<br />

types; slips <strong>and</strong> laps, <strong>and</strong> mistakes. Slips <strong>and</strong> lapse means the failure of the execution of planned<br />

action <strong>and</strong> mistake is the failure of the plan of intended goal even though the execution is faultless.<br />

Besides, Zhang et al. (2004) also proposed two major type cognitive taxonomy of medical error due to<br />

human factor associates with technology; mistakes <strong>and</strong> slips. Mistake is an error occurs because of<br />

the person has incorrect or incomplete knowledge to perform certain task. Meanwhile if error occurs<br />

with the person has correct knowledge to perform certain task, it was a slip. Each type then is divided<br />

into execution <strong>and</strong> evaluation where evaluation is the result of the action of executions. These types<br />

are based on the combination theories of Human Error <strong>and</strong> Norman’s Human Action. Further both<br />

Reason (1995) <strong>and</strong> Zhang et al. (2004) discussed important aspect of human error as well as<br />

contributing factor to human error. Both Reason’s (1995) <strong>and</strong> Zhang et al. (2004) classification looking<br />

consistent to be applied in different setting <strong>and</strong> context of evaluation in health care. In addition, both<br />

studies also highlighted factors associated to the occurrences of medical error. However, the limitation<br />

lingers on the cognitive of human factors.<br />

However, the classification type of error provided by Zapf et al. (1992) is much easier to apply. Zapf et<br />

al. identified functionality to represent technical error, usability to represent human error that<br />

associates with systems, interaction to represent individual communication <strong>and</strong> organization process,<br />

<strong>and</strong> inefficiency that also due to human factor because of lack of knowledge to perform optimal action<br />

path or due to habit. These types of error represent comprehensive approach to evaluation.

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