J Am Med Inform Assoc - Applying operations research to optimize a novel population management system for cancer screening.

Tópicos

{ cancer(2502) breast(956) screen(824) }
{ treatment(1704) effect(941) patient(846) }
{ chang(1828) time(1643) increas(1301) }
{ patient(2837) hospit(1953) medic(668) }
{ record(1888) medic(1808) patient(1693) }
{ patient(2315) diseas(1263) diabet(1191) }
{ perform(1367) use(1326) method(1137) }
{ design(1359) user(1324) use(1319) }
{ model(2220) cell(1177) simul(1124) }
{ general(901) number(790) one(736) }
{ age(1611) year(1155) adult(843) }
{ network(2748) neural(1063) input(814) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ algorithm(1844) comput(1787) effici(935) }
{ state(1844) use(1261) util(961) }
{ medic(1828) order(1363) alert(1069) }
{ result(1111) use(1088) new(759) }
{ measur(2081) correl(1212) valu(896) }
{ method(1557) propos(1049) approach(1037) }
{ control(1307) perform(991) simul(935) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ model(2341) predict(2261) use(1141) }
{ cost(1906) reduc(1198) effect(832) }
{ time(1939) patient(1703) rate(768) }
{ imag(2675) segment(2577) method(1081) }
{ studi(2440) review(1878) systemat(933) }
{ error(1145) method(1030) estim(1020) }
{ clinic(1479) use(1117) guidelin(835) }
{ extract(1171) text(1153) clinic(932) }
{ howev(809) still(633) remain(590) }
{ studi(1119) effect(1106) posit(819) }
{ spatial(1525) area(1432) region(1030) }
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{ first(2504) two(1366) second(1323) }
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{ imag(2830) propos(1344) filter(1198) }
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{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
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{ learn(2355) train(1041) set(1003) }
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{ data(1714) softwar(1251) tool(1186) }
{ 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) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ system(1050) medic(1026) inform(1018) }
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{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ blood(1257) pressur(1144) flow(957) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ implement(1333) system(1263) develop(1122) }
{ 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) }
{ method(2212) result(1239) propos(1039) }

Resumo

JECTIVE: To optimize a new visit-independent, population-based cancer screening system (TopCare) by using operations research techniques to simulate changes in patient outreach staffing levels (delegates, navigators), modifications to user workflow within the information technology (IT) system, and changes in cancer screening recommendations.MATERIALS AND METHODS: TopCare was modeled as a multiserver, multiphase queueing system. Simulation experiments implemented the queueing network model following a next-event time-advance mechanism, in which systematic adjustments were made to staffing levels, IT workflow settings, and cancer screening frequency in order to assess their impact on overdue screenings per patient.RESULTS: TopCare reduced the average number of overdue screenings per patient from 1.17 at inception to 0.86 during simulation to 0.23 at steady state. Increases in the workforce improved the effectiveness of TopCare. In particular, increasing the delegate or navigator staff level by one person improved screening completion rates by 1.3% or 12.2%, respectively. In contrast, changes in the amount of time a patient entry stays on delegate and navigator lists had little impact on overdue screenings. Finally, lengthening the screening interval increased efficiency within TopCare by decreasing overdue screenings at the patient level, resulting in a smaller number of overdue patients needing delegates for screening and a higher fraction of screenings completed by delegates.CONCLUSIONS: Simulating the impact of changes in staffing, system parameters, and clinical inputs on the effectiveness and efficiency of care can inform the allocation of limited resources in population management.

Resumo Limpo

jectiv optim new visitindepend populationbas cancer screen system topcar use oper research techniqu simul chang patient outreach staf level deleg navig modif user workflow within inform technolog system chang cancer screen recommendationsmateri method topcar model multiserv multiphas queue system simul experi implement queue network model follow nextev timeadv mechan systemat adjust made staf level workflow set cancer screen frequenc order assess impact overdu screen per patientresult topcar reduc averag number overdu screen per patient incept simul steadi state increas workforc improv effect topcar particular increas deleg navig staff level one person improv screen complet rate respect contrast chang amount time patient entri stay deleg navig list littl impact overdu screen final lengthen screen interv increas effici within topcar decreas overdu screen patient level result smaller number overdu patient need deleg screen higher fraction screen complet delegatesconclus simul impact chang staf system paramet clinic input effect effici care can inform alloc limit resourc popul manag

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