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Pediatric Informatics: Computer Applications in Child Health (Health ...

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374 M. Apkon<br />

of failures experienced, the consequences of those failures, and the likelihoods of<br />

specific failure types occurr<strong>in</strong>g. 8–10 FMEA considers risk to be a consequence of not<br />

only the likelihood of failure occurr<strong>in</strong>g, but also the severity of the consequence of<br />

failure and the ease with which failures are detected prior to the consequences<br />

occurr<strong>in</strong>g. Failures that occur more frequently, cause more significant harm, or<br />

which can not be detected before harm occurs are considered higher risk than other<br />

failure types.<br />

FMEA is a multistep process described <strong>in</strong> List 29.2.<br />

List 29.2 Failure mode and effects analysis<br />

Characterize the elements or steps of the process<br />

Identify modes of failures<br />

For each process element, score each of the follow<strong>in</strong>g (10 po<strong>in</strong>t scales are<br />

common)<br />

� Severity (S) of failure, if not detected prior to caus<strong>in</strong>g harm<br />

� Likelihood of occurrence (O) for each failure<br />

� Likelihood that failures will escape detection (D) before caus<strong>in</strong>g harm<br />

For each calculate a risk-priority-number (RPN) to assess risk<strong>in</strong>ess<br />

�<br />

RPN = S × O × D<br />

Prioritize countermeasures to improve those process elements with the highest<br />

RPN<br />

FMEA is generally conducted by a multidiscipl<strong>in</strong>ary team so that a range of<br />

perspectives are applied to the analysis. FMEA beg<strong>in</strong>s by identify<strong>in</strong>g the steps <strong>in</strong> a<br />

process and then identify<strong>in</strong>g all of the ways that each component of a process might<br />

fail. For each failure mode, the consequences of failure are identified and then the<br />

severity, likelihood of occurrence for each failure, and the likelihood of detection<br />

<strong>in</strong> time for corrective action are evaluated. Typically, the severity, likelihood, and<br />

detectability are characterized accord<strong>in</strong>g to a 5 or 10 po<strong>in</strong>t scale. Data to characterize<br />

the severity and likelihoods of occurrence and detection may come from direct<br />

measurement, the literature, or expert op<strong>in</strong>ion. The results of root cause analyses<br />

provide important <strong>in</strong>formation that helps characterize each of these parameters.<br />

FMEA has been applied to a diverse set of healthcare processes such as<br />

medication adm<strong>in</strong>istration, 8,11–13 blood product adm<strong>in</strong>istration, 14 case management, 15<br />

diagnostic test<strong>in</strong>g, 16 as well as medical device use and ma<strong>in</strong>tenance. 17–19 FMEA is<br />

also applied <strong>in</strong> plann<strong>in</strong>g new processes where it can be used to forecast risk so that<br />

safer processes can be selected at the time of design. For example, one hospital<br />

applied FMEA to the process for electronic order<strong>in</strong>g of chemotherapy <strong>in</strong> advance of<br />

mov<strong>in</strong>g from handwritten orders. 20 This led to specific decisions about the implementation<br />

of order<strong>in</strong>g and documentation systems that were believed to create a<br />

safer system. Similarly, another hospital used FMEA to plan the <strong>in</strong>troduction of<br />

“smart” IV pumps that <strong>in</strong>corporated dose-error prevention software. 21 This process<br />

led to a better ability to anticipate and plan for failures as well as to design care<br />

processes that m<strong>in</strong>imized risk.

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