J Med Syst - Emergency healthcare process automation using mobile computing and cloud services.

Tópicos

{ ehr(2073) health(1662) electron(1139) }
{ care(1570) inform(1187) nurs(1089) }
{ data(1714) softwar(1251) tool(1186) }
{ health(3367) inform(1360) care(1135) }
{ system(1050) medic(1026) inform(1018) }
{ data(3963) clinic(1234) research(1004) }
{ monitor(1329) mobil(1314) devic(1160) }
{ implement(1333) system(1263) develop(1122) }
{ research(1218) medic(880) student(794) }
{ health(1844) social(1437) communiti(874) }
{ drug(1928) target(777) effect(648) }
{ survey(1388) particip(1329) question(1065) }
{ process(1125) use(805) approach(778) }
{ model(3404) distribut(989) bayesian(671) }
{ method(1219) similar(1157) match(930) }
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{ concept(1167) ontolog(924) domain(897) }
{ method(1557) propos(1049) approach(1037) }
{ patient(2837) hospit(1953) medic(668) }
{ activ(1138) subject(705) human(624) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ can(774) often(719) complex(702) }
{ bind(1733) structur(1185) ligand(1036) }
{ featur(3375) classif(2383) classifi(1994) }
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{ framework(1458) process(801) describ(734) }
{ learn(2355) train(1041) set(1003) }
{ extract(1171) text(1153) clinic(932) }
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{ assess(1506) score(1403) qualiti(1306) }
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{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
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{ general(901) number(790) one(736) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
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{ blood(1257) pressur(1144) flow(957) }
{ record(1888) medic(1808) patient(1693) }
{ model(3480) simul(1196) paramet(876) }
{ state(1844) use(1261) util(961) }
{ model(2656) set(1616) predict(1553) }
{ 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) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ time(1939) patient(1703) rate(768) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ result(1111) use(1088) new(759) }
{ decis(3086) make(1611) patient(1517) }
{ 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

Emergency care is basically concerned with the provision of pre-hospital and in-hospital medical and/or paramedical services and it typically involves a wide variety of interdependent and distributed activities that can be interconnected to form emergency care processes within and between Emergency Medical Service (EMS) agencies and hospitals. Hence, in developing an information system for emergency care processes, it is essential to support individual process activities and to satisfy collaboration and coordination needs by providing readily access to patient and operational information regardless of location and time. Filling this information gap by enabling the provision of the right information, to the right people, at the right time fosters new challenges, including the specification of a common information format, the interoperability among heterogeneous institutional information systems or the development of new, ubiquitous trans-institutional systems. This paper is concerned with the development of an integrated computer support to emergency care processes by evolving and cross-linking institutional healthcare systems. To this end, an integrated EMS cloud-based architecture has been developed that allows authorized users to access emergency case information in standardized document form, as proposed by the Integrating the Healthcare Enterprise (IHE) profile, uses the Organization for the Advancement of Structured Information Standards (OASIS) standard Emergency Data Exchange Language (EDXL) Hospital Availability Exchange (HAVE) for exchanging operational data with hospitals and incorporates an intelligent module that supports triaging and selecting the most appropriate ambulances and hospitals for each case.

Resumo Limpo

emerg care basic concern provis prehospit inhospit medic andor paramed servic typic involv wide varieti interdepend distribut activ can interconnect form emerg care process within emerg medic servic em agenc hospit henc develop inform system emerg care process essenti support individu process activ satisfi collabor coordin need provid readili access patient oper inform regardless locat time fill inform gap enabl provis right inform right peopl right time foster new challeng includ specif common inform format interoper among heterogen institut inform system develop new ubiquit transinstitut system paper concern develop integr comput support emerg care process evolv crosslink institut healthcar system end integr em cloudbas architectur develop allow author user access emerg case inform standard document form propos integr healthcar enterpris ihe profil use organ advanc structur inform standard oasi standard emerg data exchang languag edxl hospit avail exchang exchang oper data hospit incorpor intellig modul support triag select appropri ambul hospit case

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