Int J Med Inform - The integration of Information and Communication Technology into nursing.

Tópicos

{ care(1570) inform(1187) nurs(1089) }
{ inform(2794) health(2639) internet(1427) }
{ import(1318) role(1303) understand(862) }
{ ehr(2073) health(1662) electron(1139) }
{ take(945) account(800) differ(722) }
{ measur(2081) correl(1212) valu(896) }
{ sequenc(1873) structur(1644) protein(1328) }
{ age(1611) year(1155) adult(843) }
{ framework(1458) process(801) describ(734) }
{ clinic(1479) use(1117) guidelin(835) }
{ case(1353) use(1143) diagnosi(1136) }
{ monitor(1329) mobil(1314) devic(1160) }
{ method(1969) cluster(1462) data(1082) }
{ model(3404) distribut(989) bayesian(671) }
{ imag(1057) registr(996) error(939) }
{ extract(1171) text(1153) clinic(932) }
{ studi(1119) effect(1106) posit(819) }
{ health(3367) inform(1360) care(1135) }
{ state(1844) use(1261) util(961) }
{ first(2504) two(1366) second(1323) }
{ health(1844) social(1437) communiti(874) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ can(774) often(719) complex(702) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ studi(2440) review(1878) systemat(933) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ method(984) reconstruct(947) comput(926) }
{ perform(999) metric(946) measur(919) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ research(1218) medic(880) student(794) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ time(1939) patient(1703) rate(768) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ use(976) code(926) identifi(902) }
{ estim(2440) model(1874) function(577) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ bind(1733) structur(1185) ligand(1036) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ network(2748) neural(1063) input(814) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ general(901) number(790) one(736) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ model(2341) predict(2261) use(1141) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ model(3480) simul(1196) paramet(876) }
{ patient(2837) hospit(1953) medic(668) }
{ 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) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ 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) }
{ result(1111) use(1088) new(759) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

JECTIVES: To identify and characterise different profiles of nurses' utilization of Information and Communication Technology (ICT) and the Internet and to identify factors that can enhance or inhibit the use of these technologies within nursing.METHODS: An online survey of the 13,588 members of the Nurses Association of Barcelona who had a registered email account in 2006 was carried out. Factor analysis, cluster analysis and binomial logit model was undertaken.RESULTS/FINDINGS: Although most of the nurses (76.70%) are utilizing the Internet within their daily work, multivariate statistics analysis revealed two profiles of the adoption of ICT. The first profile (4.58%) represents those nurses who value ICT and the Internet so that it forms an integral part of their practice. This group is thus referred to as 'integrated nurses'. The second profile (95.42%) represents those nurses who place less emphasis on ICT and the Internet and are consequently labelled 'non-integrated nurses'. From the statistical modelling, it was observed that undertaking research activities an emphasis on international information and a belief that health information available on the Internet was 'very relevant' play a positive and significant role in the probability of being an integrated nurse.CONCLUSION: The emerging world of the 'integrated nurse' cannot be adequately understood without examining how nurses make use of ICT and the Internet within nursing practice and the way this is shaped by institutional, technical and professional opportunities and constraints.

Resumo Limpo

jectiv identifi characteris differ profil nurs util inform communic technolog ict internet identifi factor can enhanc inhibit use technolog within nursingmethod onlin survey member nurs associ barcelona regist email account carri factor analysi cluster analysi binomi logit model undertakenresultsfind although nurs util internet within daili work multivari statist analysi reveal two profil adopt ict first profil repres nurs valu ict internet form integr part practic group thus refer integr nurs second profil repres nurs place less emphasi ict internet consequ label nonintegr nurs statist model observ undertak research activ emphasi intern inform belief health inform avail internet relev play posit signific role probabl integr nurseconclus emerg world integr nurs adequ understood without examin nurs make use ict internet within nurs practic way shape institut technic profession opportun constraint

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