J Biomed Inform - Clinical information systems end user satisfaction: the expectations and needs congruencies effects.

Tópicos

{ care(1570) inform(1187) nurs(1089) }
{ use(2086) technolog(871) perceiv(783) }
{ patient(1821) servic(1111) care(1106) }
{ studi(1410) differ(1259) use(1210) }
{ studi(1119) effect(1106) posit(819) }
{ model(2656) set(1616) predict(1553) }
{ measur(2081) correl(1212) valu(896) }
{ concept(1167) ontolog(924) domain(897) }
{ control(1307) perform(991) simul(935) }
{ framework(1458) process(801) describ(734) }
{ drug(1928) target(777) effect(648) }
{ estim(2440) model(1874) function(577) }
{ algorithm(1844) comput(1787) effici(935) }
{ method(2212) result(1239) propos(1039) }
{ sequenc(1873) structur(1644) protein(1328) }
{ take(945) account(800) differ(722) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ chang(1828) time(1643) increas(1301) }
{ design(1359) user(1324) use(1319) }
{ search(2224) databas(1162) retriev(909) }
{ data(3963) clinic(1234) research(1004) }
{ visual(1396) interact(850) tool(830) }
{ perform(1367) use(1326) method(1137) }
{ health(3367) inform(1360) care(1135) }
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{ imag(2675) segment(2577) method(1081) }
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{ assess(1506) score(1403) qualiti(1306) }
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{ error(1145) method(1030) estim(1020) }
{ learn(2355) train(1041) set(1003) }
{ clinic(1479) use(1117) guidelin(835) }
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{ method(1557) propos(1049) approach(1037) }
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{ model(2220) cell(1177) simul(1124) }
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{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
{ 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) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ compound(1573) activ(1297) structur(1058) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ age(1611) year(1155) adult(843) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ 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) }
{ 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(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Prior research on information systems (IS) shows that users' attitudes and continuance intentions are associated with their satisfaction with information systems. As such, the increasing amount of investments in clinical information systems (CIS) signifies the importance of understanding CIS end users' (i.e., clinicians) satisfaction. In this study, we develop a conceptual framework to identify the cognitive determinants of clinicians' satisfaction formation. The disconfirmation paradigm serves as the core of the framework. The expectations and needs congruency models are the two models of this paradigm, and perceived performance is the basis of the comparisons in the models. The needs and expectations associated with the models are also specified. The survey methodology is adopted in this study to empirically validate the proposed research model. The survey is conducted at a public hospital and results in 112 and 203 valid responses (56% and 98% response rates) from doctors and nurses respectively. The partial least squares (PLS) method is used to analyze the data. The results of the study show that perceived CIS performance is the most influential factor on clinicians' (i.e., doctors and nurses) satisfaction. Doctors' expectations congruency is the next significant determinant of their satisfaction. Contrary to most previous findings, nurses' expectations and expectations congruency do not show a significant effect on their satisfaction. However, the needs congruency is found to significantly affect nurses' satisfaction.

Resumo Limpo

prior research inform system show user attitud continu intent associ satisfact inform system increas amount invest clinic inform system cis signifi import understand cis end user ie clinician satisfact studi develop conceptu framework identifi cognit determin clinician satisfact format disconfirm paradigm serv core framework expect need congruenc model two model paradigm perceiv perform basi comparison model need expect associ model also specifi survey methodolog adopt studi empir valid propos research model survey conduct public hospit result valid respons respons rate doctor nurs respect partial least squar pls method use analyz data result studi show perceiv cis perform influenti factor clinician ie doctor nurs satisfact doctor expect congruenc next signific determin satisfact contrari previous find nurs expect expect congruenc show signific effect satisfact howev need congruenc found signific affect nurs satisfact

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