J Biomed Inform - Development and evaluation of an ontology for guiding appropriate antibiotic prescribing.

Tópicos

{ concept(1167) ontolog(924) domain(897) }
{ medic(1828) order(1363) alert(1069) }
{ use(2086) technolog(871) perceiv(783) }
{ perform(999) metric(946) measur(919) }
{ design(1359) user(1324) use(1319) }
{ method(1557) propos(1049) approach(1037) }
{ control(1307) perform(991) simul(935) }
{ system(1976) rule(880) can(841) }
{ method(1219) similar(1157) match(930) }
{ treatment(1704) effect(941) patient(846) }
{ clinic(1479) use(1117) guidelin(835) }
{ patient(1821) servic(1111) care(1106) }
{ use(976) code(926) identifi(902) }
{ learn(2355) train(1041) set(1003) }
{ studi(1410) differ(1259) use(1210) }
{ model(2656) set(1616) predict(1553) }
{ data(3008) multipl(1320) sourc(1022) }
{ implement(1333) system(1263) develop(1122) }
{ method(2212) result(1239) propos(1039) }
{ imag(1947) propos(1133) code(1026) }
{ measur(2081) correl(1212) valu(896) }
{ network(2748) neural(1063) input(814) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ general(901) number(790) one(736) }
{ search(2224) databas(1162) retriev(909) }
{ case(1353) use(1143) diagnosi(1136) }
{ research(1085) discuss(1038) issu(1018) }
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{ compound(1573) activ(1297) structur(1058) }
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{ care(1570) inform(1187) nurs(1089) }
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{ record(1888) medic(1808) patient(1693) }
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{ monitor(1329) mobil(1314) devic(1160) }
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{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ 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) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

JECTIVES: To develop and apply formal ontology creation methods to the domain of antimicrobial prescribing and to formally evaluate the resulting ontology through intrinsic and extrinsic evaluation studies.METHODS: We extended existing ontology development methods to create the ontology and implemented the ontology using Prot?g?-OWL. Correctness of the ontology was assessed using a set of ontology design principles and domain expert review via the laddering technique. We created three artifacts to support the extrinsic evaluation (set of prescribing rules, alerts and an ontology-driven alert module, and a patient database) and evaluated the usefulness of the ontology for performing knowledge management tasks to maintain the ontology and for generating alerts to guide antibiotic prescribing.RESULTS: The ontology includes 199 classes, 10 properties, and 1636 description logic restrictions. Twenty-three Semantic Web Rule Language rules were written to generate three prescribing alerts: (1) antibiotic-microorganism mismatch alert; (2) medication-allergy alert; and (3) non-recommended empiric antibiotic therapy alert. The evaluation studies confirmed the correctness of the ontology, usefulness of the ontology for representing and maintaining antimicrobial treatment knowledge rules, and usefulness of the ontology for generating alerts to provide feedback to clinicians during antibiotic prescribing.CONCLUSIONS: This study contributes to the understanding of ontology development and evaluation methods and addresses one knowledge gap related to using ontologies as a clinical decision support system component-a need for formal ontology evaluation methods to measure their quality from the perspective of their intrinsic characteristics and their usefulness for specific tasks.

Resumo Limpo

jectiv develop appli formal ontolog creation method domain antimicrobi prescrib formal evalu result ontolog intrins extrins evalu studiesmethod extend exist ontolog develop method creat ontolog implement ontolog use protgowl correct ontolog assess use set ontolog design principl domain expert review via ladder techniqu creat three artifact support extrins evalu set prescrib rule alert ontologydriven alert modul patient databas evalu use ontolog perform knowledg manag task maintain ontolog generat alert guid antibiot prescribingresult ontolog includ class properti descript logic restrict twentythre semant web rule languag rule written generat three prescrib alert antibioticmicroorgan mismatch alert medicationallergi alert nonrecommend empir antibiot therapi alert evalu studi confirm correct ontolog use ontolog repres maintain antimicrobi treatment knowledg rule use ontolog generat alert provid feedback clinician antibiot prescribingconclus studi contribut understand ontolog develop evalu method address one knowledg gap relat use ontolog clinic decis support system componenta need formal ontolog evalu method measur qualiti perspect intrins characterist use specif task

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