AMIA Annu Symp Proc - An evaluation of the rates of repeat notifiable disease reporting and patient crossover using a health information exchange-based automated electronic laboratory reporting system.

Tópicos

{ health(3367) inform(1360) care(1135) }
{ data(3008) multipl(1320) sourc(1022) }
{ patient(2837) hospit(1953) medic(668) }
{ use(976) code(926) identifi(902) }
{ studi(2440) review(1878) systemat(933) }
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{ import(1318) role(1303) understand(862) }
{ can(774) often(719) complex(702) }
{ case(1353) use(1143) diagnosi(1136) }
{ signal(2180) analysi(812) frequenc(800) }
{ activ(1138) subject(705) human(624) }
{ implement(1333) system(1263) develop(1122) }
{ state(1844) use(1261) util(961) }
{ gene(2352) biolog(1181) express(1162) }
{ patient(1821) servic(1111) care(1106) }
{ imag(1057) registr(996) error(939) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
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{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
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{ health(1844) social(1437) communiti(874) }
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{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
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Resumo

Patients move across healthcare organizations and utilize services with great frequency and variety. This fact impacts both health information technology policy and patient care. To understand the challenges faced when developing strategies for effective health information exchange, it is important to understand patterns of patient movement and utilization for many healthcare contexts, including managing public-health notifiable conditions. We studied over 10 years of public-health notifiable diseases using the nation's most comprehensive operational automatic electronic laboratory reporting system to characterize patient utilization patterns. Our cohort included 412,699 patients and 833,710 reportable cases. 11.3% of patients had multiple notifiable case reports, and 19.5% had notifiable disease data distributed across 2 or more institutions. This evidence adds to the growing body of evidence that patient data resides in many organizations and suggests that to fully realize the value of HIT in public health, cross-organizational data sharing must be meaningfully incentivized.

Resumo Limpo

patient move across healthcar organ util servic great frequenc varieti fact impact health inform technolog polici patient care understand challeng face develop strategi effect health inform exchang import understand pattern patient movement util mani healthcar context includ manag publichealth notifi condit studi year publichealth notifi diseas use nation comprehens oper automat electron laboratori report system character patient util pattern cohort includ patient report case patient multipl notifi case report notifi diseas data distribut across institut evid add grow bodi evid patient data resid mani organ suggest fulli realiz valu hit public health crossorganiz data share must meaning incentiv

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