AMIA Annu Symp Proc - Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach.

Tópicos

{ decis(3086) make(1611) patient(1517) }
{ concept(1167) ontolog(924) domain(897) }
{ medic(1828) order(1363) alert(1069) }
{ clinic(1479) use(1117) guidelin(835) }
{ record(1888) medic(1808) patient(1693) }
{ system(1976) rule(880) can(841) }
{ model(3404) distribut(989) bayesian(671) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ method(1557) propos(1049) approach(1037) }
{ activ(1138) subject(705) human(624) }
{ patient(1821) servic(1111) care(1106) }
{ drug(1928) target(777) effect(648) }
{ implement(1333) system(1263) develop(1122) }
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{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ extract(1171) text(1153) clinic(932) }
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{ care(1570) inform(1187) nurs(1089) }
{ method(984) reconstruct(947) comput(926) }
{ featur(1941) imag(1645) propos(1176) }
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{ visual(1396) interact(850) tool(830) }
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{ perform(1367) use(1326) method(1137) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ time(1939) patient(1703) rate(768) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base (KB) comprised of rule-based knowledge sources, that is accompanied by the necessary inference and query mechanisms to provide healthcare professionals and patients with decision support services in clinical practice, in terms of alerts and recommendations on preventable ADEs. The relevant Knowledge Based System (KBS) is developed in the context of the EU-funded research project PSIP (Patient Safety through Intelligent Procedures in Medication). In the current paper, we present the foundations of the framework, its knowledge model and KB structure, as well as recent progress as regards the population of the KB, the implementation of the KBS, and results on the KBS verification in decision support operation.

Resumo Limpo

knowledgebas approach propos employ construct framework suitabl manag effect use knowledg advers drug event ade prevent framework core part knowledg base kb compris rulebas knowledg sourc accompani necessari infer queri mechan provid healthcar profession patient decis support servic clinic practic term alert recommend prevent ade relev knowledg base system kbs develop context eufund research project psip patient safeti intellig procedur medic current paper present foundat framework knowledg model kb structur well recent progress regard popul kb implement kbs result kbs verif decis support oper

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