J Med Syst - Organizational challenges in developing one of the Nationwide Health Information Network trial implementation awardees.

Tópicos

{ health(3367) inform(1360) care(1135) }
{ extract(1171) text(1153) clinic(932) }
{ implement(1333) system(1263) develop(1122) }
{ howev(809) still(633) remain(590) }
{ research(1085) discuss(1038) issu(1018) }
{ health(1844) social(1437) communiti(874) }
{ process(1125) use(805) approach(778) }
{ inform(2794) health(2639) internet(1427) }
{ design(1359) user(1324) use(1319) }
{ perform(999) metric(946) measur(919) }
{ import(1318) role(1303) understand(862) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ cost(1906) reduc(1198) effect(832) }
{ first(2504) two(1366) second(1323) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(1733) differ(960) four(931) }
{ detect(2391) sensit(1101) algorithm(908) }
{ imag(1057) registr(996) error(939) }
{ studi(2440) review(1878) systemat(933) }
{ framework(1458) process(801) describ(734) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ record(1888) medic(1808) patient(1693) }
{ state(1844) use(1261) util(961) }
{ patient(2837) hospit(1953) medic(668) }
{ medic(1828) order(1363) alert(1069) }
{ group(2977) signific(1463) compar(1072) }
{ intervent(3218) particip(2042) group(1664) }
{ can(981) present(881) function(850) }
{ cancer(2502) breast(956) screen(824) }
{ activ(1452) weight(1219) physic(1104) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ 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) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ control(1307) perform(991) simul(935) }
{ 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) }
{ risk(3053) factor(974) diseas(938) }
{ system(1050) medic(1026) inform(1018) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ spatial(1525) area(1432) region(1030) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ signal(2180) analysi(812) frequenc(800) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ activ(1138) subject(705) human(624) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

Health care in the United States is rarely delivered in a coordinated manner. Current methods to share patient information are inefficient and may lead to medical errors, higher readmission rates, and delays in the delivery of needed health services. This qualitative study describes lessons learned concerning the early implementation of one Nationwide Health Information Network (NHIN) site in Long Beach, CA during its first year of operation. The Long Beach Network for Health (LBNH) focused on an incremental effort to exchange health information. Despite a limited concentration on emergency department care, virtually all respondents noted concerns regarding the sustainability, or business case, for the exchange of health information. Nevertheless, respondents were encouraged by progress on technological challenges and user requirements during this first year. The early gains in this process may, in turn, have laid the groundwork for future efforts to expand beyond the emergency department.

Resumo Limpo

health care unit state rare deliv coordin manner current method share patient inform ineffici may lead medic error higher readmiss rate delay deliveri need health servic qualit studi describ lesson learn concern earli implement one nationwid health inform network nhin site long beach ca first year oper long beach network health lbnh focus increment effort exchang health inform despit limit concentr emerg depart care virtual respond note concern regard sustain busi case exchang health inform nevertheless respond encourag progress technolog challeng user requir first year earli gain process may turn laid groundwork futur effort expand beyond emerg depart

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