Comput Methods Programs Biomed - A mobile and asynchronous electronic data capture system for epidemiologic studies.

Tópicos

{ data(3963) clinic(1234) research(1004) }
{ data(1714) softwar(1251) tool(1186) }
{ network(2748) neural(1063) input(814) }
{ system(1050) medic(1026) inform(1018) }
{ implement(1333) system(1263) develop(1122) }
{ use(1733) differ(960) four(931) }
{ process(1125) use(805) approach(778) }
{ chang(1828) time(1643) increas(1301) }
{ extract(1171) text(1153) clinic(932) }
{ search(2224) databas(1162) retriev(909) }
{ monitor(1329) mobil(1314) devic(1160) }
{ data(3008) multipl(1320) sourc(1022) }
{ can(774) often(719) complex(702) }
{ research(1085) discuss(1038) issu(1018) }
{ ehr(2073) health(1662) electron(1139) }
{ data(1737) use(1416) pattern(1282) }
{ bind(1733) structur(1185) ligand(1036) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ algorithm(1844) comput(1787) effici(935) }
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{ record(1888) medic(1808) patient(1693) }
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{ state(1844) use(1261) util(961) }
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{ model(3480) simul(1196) paramet(876) }
{ 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) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ 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) }
{ 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) }
{ drug(1928) target(777) effect(648) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

A Central Data Management (CDM) system based on electronic data capture (EDC) software and study specific databases is an essential component for assessment and management of large data volumes in epidemiologic studies. Conventional CDM systems using web applications for data capture depend on permanent access to a network. However, in many study settings permanent network access cannot be guaranteed, e.g. when participants/patients are visited in their homes. In such cases a different concept for data capture is needed. The utilized EDC software must be able to ensure data capture as stand-alone instance and to synchronize captured data with the server at a later point in time. This article describes the design of the mobile information capture (MInCa) system an EDC software meeting these requirements. In particular, we focus on client and server design, data synchronization, and data privacy as well as data security measures. The MInCa software has already proven its efficiency in epidemiologic studies revealing strengths and weaknesses concerning both concept and practical application which will be addressed in this article.

Resumo Limpo

central data manag cdm system base electron data captur edc softwar studi specif databas essenti compon assess manag larg data volum epidemiolog studi convent cdm system use web applic data captur depend perman access network howev mani studi set perman network access guarante eg participantspati visit home case differ concept data captur need util edc softwar must abl ensur data captur standalon instanc synchron captur data server later point time articl describ design mobil inform captur minca system edc softwar meet requir particular focus client server design data synchron data privaci well data secur measur minca softwar alreadi proven effici epidemiolog studi reveal strength weak concern concept practic applic will address articl

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