J Biomed Inform - Interface design principles for usable decision support: a targeted review of best practices for clinical prescribing interventions.

Tópicos

{ design(1359) user(1324) use(1319) }
{ medic(1828) order(1363) alert(1069) }
{ implement(1333) system(1263) develop(1122) }
{ clinic(1479) use(1117) guidelin(835) }
{ data(1714) softwar(1251) tool(1186) }
{ perform(1367) use(1326) method(1137) }
{ concept(1167) ontolog(924) domain(897) }
{ ehr(2073) health(1662) electron(1139) }
{ use(2086) technolog(871) perceiv(783) }
{ studi(2440) review(1878) systemat(933) }
{ can(774) often(719) complex(702) }
{ chang(1828) time(1643) increas(1301) }
{ algorithm(1844) comput(1787) effici(935) }
{ search(2224) databas(1162) retriev(909) }
{ import(1318) role(1303) understand(862) }
{ health(3367) inform(1360) care(1135) }
{ research(1218) medic(880) student(794) }
{ intervent(3218) particip(2042) group(1664) }
{ use(976) code(926) identifi(902) }
{ system(1976) rule(880) can(841) }
{ data(3963) clinic(1234) research(1004) }
{ visual(1396) interact(850) tool(830) }
{ high(1669) rate(1365) level(1280) }
{ drug(1928) target(777) effect(648) }
{ imag(1057) registr(996) error(939) }
{ method(1219) similar(1157) match(930) }
{ network(2748) neural(1063) input(814) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ learn(2355) train(1041) set(1003) }
{ care(1570) inform(1187) nurs(1089) }
{ case(1353) use(1143) diagnosi(1136) }
{ perform(999) metric(946) measur(919) }
{ spatial(1525) area(1432) region(1030) }
{ model(3480) simul(1196) paramet(876) }
{ patient(2837) hospit(1953) medic(668) }
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{ sampl(1606) size(1419) use(1276) }
{ first(2504) two(1366) second(1323) }
{ time(1939) patient(1703) rate(768) }
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{ featur(3375) classif(2383) classifi(1994) }
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{ motion(1329) object(1292) video(1091) }
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{ error(1145) method(1030) estim(1020) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ general(901) number(790) one(736) }
{ method(984) reconstruct(947) comput(926) }
{ featur(1941) imag(1645) propos(1176) }
{ howev(809) still(633) remain(590) }
{ 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) }
{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ record(1888) medic(1808) patient(1693) }
{ monitor(1329) mobil(1314) devic(1160) }
{ state(1844) use(1261) util(961) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ activ(1138) subject(705) human(624) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ structur(1116) can(940) graph(676) }
{ cancer(2502) breast(956) screen(824) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Developing effective clinical decision support (CDS) systems for the highly complex and dynamic domain of clinical medicine is a serious challenge for designers. Poor usability is one of the core barriers to adoption and a deterrent to its routine use. We reviewed reports describing system implementation efforts and collected best available design conventions, procedures, practices and lessons learned in order to provide developers a short compendium of design goals and recommended principles. This targeted review is focused on CDS related to medication prescribing. Published reports suggest that important principles include consistency of design concepts across networked systems, use of appropriate visual representation of clinical data, use of controlled terminology, presenting advice at the time and place of decision making and matching the most appropriate CDS interventions to clinical goals. Specificity and contextual relevance can be increased by periodic review of trigger rules, analysis of performance logs and maintenance of accurate allergy, problem and medication lists in health records in order to help avoid excessive alerting. Developers need to adopt design practices that include user-centered, iterative design and common standards based on human-computer interaction (HCI) research methods rooted in ethnography and cognitive science. Suggestions outlined in this report may help clarify the goals of optimal CDS design but larger national initiatives are needed for systematic application of human factors in health information technology (HIT) development. Appropriate design strategies are essential for developing meaningful decision support systems that meet the grand challenges of high-quality healthcare.

Resumo Limpo

develop effect clinic decis support cds system high complex dynam domain clinic medicin serious challeng design poor usabl one core barrier adopt deterr routin use review report describ system implement effort collect best avail design convent procedur practic lesson learn order provid develop short compendium design goal recommend principl target review focus cds relat medic prescrib publish report suggest import principl includ consist design concept across network system use appropri visual represent clinic data use control terminolog present advic time place decis make match appropri cds intervent clinic goal specif contextu relev can increas period review trigger rule analysi perform log mainten accur allergi problem medic list health record order help avoid excess alert develop need adopt design practic includ usercent iter design common standard base humancomput interact hci research method root ethnographi cognit scienc suggest outlin report may help clarifi goal optim cds design larger nation initi need systemat applic human factor health inform technolog hit develop appropri design strategi essenti develop meaning decis support system meet grand challeng highqual healthcar

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