J Biomed Inform - Complementary methods of system usability evaluation: surveys and observations during software design and development cycles.

Tópicos

{ care(1570) inform(1187) nurs(1089) }
{ survey(1388) particip(1329) question(1065) }
{ perform(1367) use(1326) method(1137) }
{ record(1888) medic(1808) patient(1693) }
{ design(1359) user(1324) use(1319) }
{ system(1976) rule(880) can(841) }
{ concept(1167) ontolog(924) domain(897) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ problem(2511) optim(1539) algorithm(950) }
{ high(1669) rate(1365) level(1280) }
{ ehr(2073) health(1662) electron(1139) }
{ analysi(2126) use(1163) compon(1037) }
{ use(1733) differ(960) four(931) }
{ decis(3086) make(1611) patient(1517) }
{ method(1969) cluster(1462) data(1082) }
{ can(774) often(719) complex(702) }
{ sequenc(1873) structur(1644) protein(1328) }
{ patient(2315) diseas(1263) diabet(1191) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
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{ risk(3053) factor(974) diseas(938) }
{ import(1318) role(1303) understand(862) }
{ blood(1257) pressur(1144) flow(957) }
{ data(2317) use(1299) case(1017) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
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{ data(1737) use(1416) pattern(1282) }
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{ 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) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ treatment(1704) effect(941) patient(846) }
{ framework(1458) process(801) describ(734) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ clinic(1479) use(1117) guidelin(835) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ 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) }
{ case(1353) use(1143) diagnosi(1136) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ 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) }
{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ spatial(1525) area(1432) region(1030) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ 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) }
{ gene(2352) biolog(1181) express(1162) }
{ intervent(3218) particip(2042) group(1664) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ health(1844) social(1437) communiti(874) }
{ 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(2212) result(1239) propos(1039) }

Resumo

Poor usability of clinical information systems delays their adoption by clinicians and limits potential improvements to the efficiency and safety of care. Recurring usability evaluations are therefore, integral to the system design process. We compared four methods employed during the development of outpatient clinical documentation software: clinician email response, online survey, observations and interviews. Results suggest that no single method identifies all or most problems. Rather, each approach is optimal for evaluations at a different stage of design and characterizes different usability aspect. Email responses elicited from clinicians and surveys report mostly technical, biomedical, terminology and control problems and are most effective when a working prototype has been completed. Observations of clinical work and interviews inform conceptual and workflow-related problems and are best performed early in the cycle. Appropriate use of these methods consistently during development may significantly improve system usability and contribute to higher adoption rates among clinicians and to improved quality of care.

Resumo Limpo

poor usabl clinic inform system delay adopt clinician limit potenti improv effici safeti care recur usabl evalu therefor integr system design process compar four method employ develop outpati clinic document softwar clinician email respons onlin survey observ interview result suggest singl method identifi problem rather approach optim evalu differ stage design character differ usabl aspect email respons elicit clinician survey report most technic biomed terminolog control problem effect work prototyp complet observ clinic work interview inform conceptu workflowrel problem best perform earli cycl appropri use method consist develop may signific improv system usabl contribut higher adopt rate among clinician improv qualiti care

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