Health Info Libr J - Examining the application of Web 2.0 in medical-related organisations.

Tópicos

{ health(1844) social(1437) communiti(874) }
{ assess(1506) score(1403) qualiti(1306) }
{ high(1669) rate(1365) level(1280) }
{ studi(1410) differ(1259) use(1210) }
{ monitor(1329) mobil(1314) devic(1160) }
{ use(2086) technolog(871) perceiv(783) }
{ decis(3086) make(1611) patient(1517) }
{ care(1570) inform(1187) nurs(1089) }
{ case(1353) use(1143) diagnosi(1136) }
{ use(1733) differ(960) four(931) }
{ sequenc(1873) structur(1644) protein(1328) }
{ error(1145) method(1030) estim(1020) }
{ import(1318) role(1303) understand(862) }
{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ patient(2837) hospit(1953) medic(668) }
{ analysi(2126) use(1163) compon(1037) }
{ survey(1388) particip(1329) question(1065) }
{ system(1976) rule(880) can(841) }
{ algorithm(1844) comput(1787) effici(935) }
{ data(3963) clinic(1234) research(1004) }
{ perform(1367) use(1326) method(1137) }
{ health(3367) inform(1360) care(1135) }
{ research(1218) medic(880) student(794) }
{ data(2317) use(1299) case(1017) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ 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) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ extract(1171) text(1153) clinic(932) }
{ 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) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ howev(809) still(633) remain(590) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ model(2656) set(1616) predict(1553) }
{ age(1611) year(1155) adult(843) }
{ 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) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ structur(1116) can(940) graph(676) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ process(1125) use(805) approach(778) }
{ 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

JECTIVES: This study surveyed Web 2.0 application in three types of selected health or medical-related organisations such as university medical libraries, hospitals and non-profit medical-related organisations.METHODS: Thirty organisations participated in an online survey on the perceived purposes, benefits and difficulties in using Web 2.0. A phone interview was further conducted with eight organisations (26.7%) to collect information on the use of Web 2.0. Data were analysed using both quantitative and qualitative approaches.RESULTS: Results showed that knowledge and information sharing and the provision of a better communication platform were rated as the main purposes of using Web 2.0. Time constraints and low staff engagement were the most highly rated difficulties. In addition, most participants found Web 2.0 to be beneficial to their organisations.CONCLUSIONS: Medical-related organisations that adopted Web 2.0 technologies have found them useful, with benefits outweighing the difficulties in the long run. The implications of this study are discussed to help medical-related organisations make decisions regarding the use of Web 2.0 technologies.

Resumo Limpo

jectiv studi survey web applic three type select health medicalrel organis univers medic librari hospit nonprofit medicalrel organisationsmethod thirti organis particip onlin survey perceiv purpos benefit difficulti use web phone interview conduct eight organis collect inform use web data analys use quantit qualit approachesresult result show knowledg inform share provis better communic platform rate main purpos use web time constraint low staff engag high rate difficulti addit particip found web benefici organisationsconclus medicalrel organis adopt web technolog found use benefit outweigh difficulti long run implic studi discuss help medicalrel organis make decis regard use web technolog

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