AMIA Annu Symp Proc - I meant that med for Baylee not Bailey!: a mixed method study to identify incidence and risk factors for CPOE patient misidentification.

Tópicos

{ medic(1828) order(1363) alert(1069) }
{ risk(3053) factor(974) diseas(938) }
{ research(1218) medic(880) student(794) }
{ perform(1367) use(1326) method(1137) }
{ first(2504) two(1366) second(1323) }
{ survey(1388) particip(1329) question(1065) }
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{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
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{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ signal(2180) analysi(812) frequenc(800) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
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{ drug(1928) target(777) effect(648) }
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{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
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{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

Computerized physician order entry (CPOE) systems can create unintended consequences. These include medication errors and adverse drug events. We look at a less understood error; patient misidentification. First, two email surveys were used to establish potential risk factors for this error. Next, an automated detection trigger was designed and validated with inpatient medication orders at a large pediatric hospital. The incidence was 0.064% per medication ordered. Finally, a case-control study identified the following as significant risk factors on multivariate analysis: patient age, last name spelling, bed proximity, medical service, time/date of order, and ordering intensity. These results can be used to improve patient safety by increasing awareness of high risk situations and guiding future research.

Resumo Limpo

computer physician order entri cpoe system can creat unintend consequ includ medic error advers drug event look less understood error patient misidentif first two email survey use establish potenti risk factor error next autom detect trigger design valid inpati medic order larg pediatr hospit incid per medic order final casecontrol studi identifi follow signific risk factor multivari analysi patient age last name spell bed proxim medic servic timed order order intens result can use improv patient safeti increas awar high risk situat guid futur research

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