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The Essentials of Patient Safety - Clinical Human Factors Group

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<strong>The</strong> <strong>Essentials</strong> <strong>of</strong> <strong>Patient</strong> <strong>Safety</strong><br />

drug interactions and saved nurse time. Finally, the patients themselves were engaged<br />

in the process. Each patient admitted to the hospital is now given a Medication <strong>Safety</strong><br />

Brochure that provides advice for them and a form on which to list their current<br />

medication. <strong>Patient</strong>s are also actively encouraged to check with staff if they have been<br />

<br />

patients leaving hospital returned to the medication appropriate to their life at home.<br />

Technological innovations, in the form <strong>of</strong> automated medication dispensing machines,<br />

formed the next phase <strong>of</strong> the drive to further reduce errors.<br />

Using information technology to reduce medication error<br />

Information technology can reduce error in a number <strong>of</strong> different ways: improving<br />

communication, making knowledge more readily accessible, prompting for key pieces<br />

<strong>of</strong> information (such as the dose <strong>of</strong> a drug), assisting with calculations, monitoring<br />

and checking in real time, and providing decision support(6). Many medication errors<br />

occur because clinicians do not have the necessary information about either the<br />

patient <strong>of</strong> the drug or because test results are not available. Hand written<br />

prescriptions, transcribing errors and calculation mistakes are also major problems.<br />

Several medication technology systems have been developed to address these and<br />

other problems operating at various stages <strong>of</strong> the medication and delivery process.<br />

<strong>The</strong>y show great promise but, as David Bates warns, are not a panacea:<br />

<br />

the net effect is not entirely predictable, and it is vital to study the impact <strong>of</strong><br />

these technologies. <strong>The</strong>y have their greatest impact in organizing and making<br />

available information, in identifying links between pieces <strong>of</strong> information, and<br />

in doing boring repetitive tasks, including checks for problems. <strong>The</strong> best<br />

medication processes will thus not replace people but will harness the<br />

strengths <strong>of</strong> information technology and allow people to do the things best<br />

done by people, such as making complex decisions and communicating with<br />

(7).<br />

<strong>The</strong> system that has probably had the largest impact on medication error is<br />

computerized physician order entry (CPOE), in which medication orders are written<br />

online. This improves orders in several ways. First, they are structured, so they must<br />

include a drug, dose and frequency; the computer, unlike a person, can refuse to<br />

accept any order without this information. <strong>The</strong>y are always legible, and the clinician<br />

making the order can always be identified if there is a need to check back. Finally, all<br />

orders can be routinely and automatically checked for allergies, drug interactions,<br />

<br />

liver and kidney function. <strong>Clinical</strong> staff may fear that these advantages may be <strong>of</strong>fset<br />

by the time lost in typing rather than writing orders, but in practice there is minimal<br />

difference (9).<br />

Bates and his colleagues (10) showed that the introduction <strong>of</strong> a computerised<br />

order entry system resulted in a 55% reduction in medication errors. This system<br />

provided clinicians with information about drugs, including appropriate constraints on<br />

choices (dose, route, frequency) and assistance with calculations and monitoring.<br />

With the addition <strong>of</strong> higher levels <strong>of</strong> decision support, in the form <strong>of</strong> more<br />

comprehensive checking for allergies and drug interactions, there was an 83%<br />

reduction in error. Other studies have shown improvement <strong>of</strong> prescribing <strong>of</strong><br />

33

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