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

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96 W.H. Drummond et al.<br />

<strong>Child</strong>ren’s Hospital implemented CPOE <strong>in</strong> December of 2002, becom<strong>in</strong>g one of the<br />

first children’s hospitals to use a commercial CPOE system. Shortly after implementation,<br />

Upperman published a series of articles discuss<strong>in</strong>g pediatric CPOE at<br />

Pittsburgh <strong>Child</strong>ren’s Hospital, outl<strong>in</strong><strong>in</strong>g the <strong>Pediatric</strong> implementation methodology<br />

and report<strong>in</strong>g the impact of <strong>Pediatric</strong> CPOE on medical errors and adverse<br />

drug events. 47, 67 Over a 9 month study period he found that harmful adverse drug<br />

events decreased from 0.05 events per 1,000 doses to 0.03 events per 1,000 doses<br />

(p = 0.05). Based on this <strong>in</strong>itial experience, it appeared that the Pittsburgh implementation<br />

was modestly successful <strong>in</strong> decreas<strong>in</strong>g ADEs.<br />

When Dr. Han later published a follow-up article describ<strong>in</strong>g an unexpected<br />

<strong>in</strong>crease <strong>in</strong> PICU patient mortality after the Pittsburg CPOE implementation, the<br />

report was surpris<strong>in</strong>g and made national headl<strong>in</strong>es. 8 Han had analyzed a high risk<br />

subset of ICU patients who were transported to the PICU, rather than study<strong>in</strong>g the<br />

whole <strong>in</strong>patient <strong>Pediatric</strong> population or the whole PICU population. The subset<br />

results showed a 3.86% <strong>in</strong>crease <strong>in</strong> risk adjusted mortality after the CPOE system<br />

was implemented; odds ratio of 3.28 [95% CI 1.94–5.55].<br />

The negative f<strong>in</strong>d<strong>in</strong>gs of the Han paper were not solely related to technology.<br />

In fact, the technology itself likely was a m<strong>in</strong>or cause of the <strong>in</strong>creased mortality.<br />

Table 8.1 lists the confound<strong>in</strong>g factors that played a prom<strong>in</strong>ent role <strong>in</strong> Pittsburg<br />

PICU’s <strong>in</strong>creased mortality.<br />

Table 8.1 Confound<strong>in</strong>g factors <strong>in</strong> Pittsburg PICU’s <strong>in</strong>creased mortality<br />

Implementation problem Assessment of risk Possible prevention strategy<br />

Order entry<br />

Unable to enter orders on<br />

critically ill patients<br />

prior to transport arrival<br />

Order entry slow and<br />

cumbersome (1–2 m<strong>in</strong><br />

per order)<br />

Physicians locked out of<br />

system while pharmacy<br />

processes order<br />

No <strong>Pediatric</strong> ICU specific<br />

order sets available at<br />

“go live”<br />

Delay <strong>in</strong> delivery of critical<br />

medications and tests<br />

likely to cause patient<br />

harm<br />

Slow order entry delays<br />

delivery of care. Cl<strong>in</strong>icians<br />

are not at bedside when<br />

<strong>in</strong>teract<strong>in</strong>g with<br />

the computer<br />

Delay <strong>in</strong> medications<br />

adm<strong>in</strong>istration may<br />

cause harm<br />

Physicians are unable<br />

to respond to acute<br />

deteriorations common<br />

<strong>in</strong> transported PICU<br />

admissions<br />

Inefficient order entry<br />

Inconsistent care<br />

Slow, cumbersome order<br />

entry <strong>in</strong> emergency<br />

situations<br />

Establish “virtual” beds so<br />

admission orders can be<br />

entered before arrival.<br />

Use paper orders <strong>in</strong> emergency<br />

situations<br />

Streaml<strong>in</strong>e screen design<br />

Place workstations at bedside<br />

Build extensive order sets<br />

Allow for simultaneous order<br />

entry by several providers<br />

<strong>in</strong>corporat<strong>in</strong>g concurrency<br />

<strong>in</strong>to the data structure<br />

Evaluate cl<strong>in</strong>ical services’<br />

emergency workflow and<br />

build order sets that reduce<br />

effort and streaml<strong>in</strong>e work<br />

flow<br />

(cont<strong>in</strong>ued)

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