J Biomed Inform - Hospital information systems: measuring end user computing satisfaction (EUCS).

Tópicos

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{ model(2656) set(1616) predict(1553) }
{ assess(1506) score(1403) qualiti(1306) }
{ ehr(2073) health(1662) electron(1139) }
{ activ(1452) weight(1219) physic(1104) }
{ howev(809) still(633) remain(590) }
{ health(1844) social(1437) communiti(874) }
{ survey(1388) particip(1329) question(1065) }
{ algorithm(1844) comput(1787) effici(935) }
{ studi(1119) effect(1106) posit(819) }
{ result(1111) use(1088) new(759) }
{ studi(2440) review(1878) systemat(933) }
{ general(901) number(790) one(736) }
{ data(3963) clinic(1234) research(1004) }
{ risk(3053) factor(974) diseas(938) }
{ use(1733) differ(960) four(931) }
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{ framework(1458) process(801) describ(734) }
{ import(1318) role(1303) understand(862) }
{ group(2977) signific(1463) compar(1072) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ method(2212) result(1239) propos(1039) }
{ data(1737) use(1416) pattern(1282) }
{ bind(1733) structur(1185) ligand(1036) }
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{ motion(1329) object(1292) video(1091) }
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{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ clinic(1479) use(1117) guidelin(835) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
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{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
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{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
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{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ spatial(1525) area(1432) region(1030) }
{ monitor(1329) mobil(1314) devic(1160) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ 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) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ process(1125) use(805) approach(778) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Over the past decade, hospitals in Greece have made significant investments in adopting and implementing new hospital information systems (HISs). Whether these investments will prove beneficial for these organizations depends on the support that will be provided to ensure the effective use of the information systems implemented and also on the satisfaction of its users, which is one of the most important determinants of the success of these systems. Measuring end-user computing satisfaction has a long history within the IS discipline. A number of attempts have been made to evaluate the overall post hoc impact of HIS, focusing on the end-users and more specifically on their satisfaction and the parameters that determine it. The purpose of this paper is to build further upon the existing body of the relevant knowledge by testing past models and suggesting new conceptual perspectives on how end-user computing satisfaction (EUCS) is formed among hospital information system users. All models are empirically tested using data from hospital information system (HIS) users (283). Correlation, explanatory and confirmation factor analysis was performed to test the reliability and validity of the measurement models. The structural equation modeling technique was also used to evaluate the causal models. The empirical results of the study provide support for the EUCS model (incorporating new factors) and enhance the generalizability of the EUCS instrument and its robustness as a valid measure of computing satisfaction and a surrogate for system success in a variety of cultural and linguistic settings. Although the psychometric properties of EUCS appear to be robust across studies and user groups, it should not be considered as the final chapter in the validation and refinement of these scales. Continuing efforts should be made to validate and extend the instrument.

Resumo Limpo

past decad hospit greec made signific invest adopt implement new hospit inform system hiss whether invest will prove benefici organ depend support will provid ensur effect use inform system implement also satisfact user one import determin success system measur endus comput satisfact long histori within disciplin number attempt made evalu overal post hoc impact focus endus specif satisfact paramet determin purpos paper build upon exist bodi relev knowledg test past model suggest new conceptu perspect endus comput satisfact euc form among hospit inform system user model empir test use data hospit inform system user correl explanatori confirm factor analysi perform test reliabl valid measur model structur equat model techniqu also use evalu causal model empir result studi provid support euc model incorpor new factor enhanc generaliz euc instrument robust valid measur comput satisfact surrog system success varieti cultur linguist set although psychometr properti euc appear robust across studi user group consid final chapter valid refin scale continu effort made valid extend instrument

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