Artif Intell Med - Creating personalised clinical pathways by semantic interoperability with electronic health records.

Tópicos

{ ehr(2073) health(1662) electron(1139) }
{ concept(1167) ontolog(924) domain(897) }
{ extract(1171) text(1153) clinic(932) }
{ record(1888) medic(1808) patient(1693) }
{ care(1570) inform(1187) nurs(1089) }
{ research(1085) discuss(1038) issu(1018) }
{ clinic(1479) use(1117) guidelin(835) }
{ monitor(1329) mobil(1314) devic(1160) }
{ patient(2315) diseas(1263) diabet(1191) }
{ implement(1333) system(1263) develop(1122) }
{ treatment(1704) effect(941) patient(846) }
{ age(1611) year(1155) adult(843) }
{ result(1111) use(1088) new(759) }
{ can(774) often(719) complex(702) }
{ bind(1733) structur(1185) ligand(1036) }
{ framework(1458) process(801) describ(734) }
{ algorithm(1844) comput(1787) effici(935) }
{ system(1050) medic(1026) inform(1018) }
{ imag(1947) propos(1133) code(1026) }
{ featur(3375) classif(2383) classifi(1994) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ studi(1410) differ(1259) use(1210) }
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{ perform(1367) use(1326) method(1137) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ gene(2352) biolog(1181) express(1162) }
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{ activ(1452) weight(1219) physic(1104) }
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{ data(2317) use(1299) case(1017) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

JECTIVE: There is a growing realisation that clinical pathways (CPs) are vital for improving the treatment quality of healthcare organisations. However, treatment personalisation is one of the main challenges when implementing CPs, and the inadequate dynamic adaptability restricts the practicality of CPs. The purpose of this study is to improve the practicality of CPs using semantic interoperability between knowledge-based CPs and semantic electronic health records (EHRs).METHODS: Simple protocol and resource description framework query language is used to gather patient information from semantic EHRs. The gathered patient information is entered into the CP ontology represented by web ontology language. Then, after reasoning over rules described by semantic web rule language in the Jena semantic framework, we adjust the standardised CPs to meet different patients' practical needs.RESULTS: A CP for acute appendicitis is used as an example to illustrate how to achieve CP customisation based on the semantic interoperability between knowledge-based CPs and semantic EHRs. A personalised care plan is generated by comprehensively analysing the patient's personal allergy history and past medical history, which are stored in semantic EHRs. Additionally, by monitoring the patient's clinical information, an exception is recorded and handled during CP execution. According to execution results of the actual example, the solutions we present are shown to be technically feasible.CONCLUSION: This study contributes towards improving the clinical personalised practicality of standardised CPs. In addition, this study establishes the foundation for future work on the research and development of an independent CP system.

Resumo Limpo

jectiv grow realis clinic pathway cps vital improv treatment qualiti healthcar organis howev treatment personalis one main challeng implement cps inadequ dynam adapt restrict practic cps purpos studi improv practic cps use semant interoper knowledgebas cps semant electron health record ehrsmethod simpl protocol resourc descript framework queri languag use gather patient inform semant ehr gather patient inform enter cp ontolog repres web ontolog languag reason rule describ semant web rule languag jena semant framework adjust standardis cps meet differ patient practic needsresult cp acut append use exampl illustr achiev cp customis base semant interoper knowledgebas cps semant ehr personalis care plan generat comprehens analys patient person allergi histori past medic histori store semant ehr addit monitor patient clinic inform except record handl cp execut accord execut result actual exampl solut present shown technic feasibleconclus studi contribut toward improv clinic personalis practic standardis cps addit studi establish foundat futur work research develop independ cp system

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