Telemed J E Health - Telehealth trends and the challenge for infrastructure.

Tópicos

{ research(1085) discuss(1038) issu(1018) }
{ health(3367) inform(1360) care(1135) }
{ chang(1828) time(1643) increas(1301) }
{ gene(2352) biolog(1181) express(1162) }
{ implement(1333) system(1263) develop(1122) }
{ data(1714) softwar(1251) tool(1186) }
{ control(1307) perform(991) simul(935) }
{ studi(2440) review(1878) systemat(933) }
{ care(1570) inform(1187) nurs(1089) }
{ model(3480) simul(1196) paramet(876) }
{ data(2317) use(1299) case(1017) }
{ intervent(3218) particip(2042) group(1664) }
{ system(1976) rule(880) can(841) }
{ design(1359) user(1324) use(1319) }
{ method(984) reconstruct(947) comput(926) }
{ monitor(1329) mobil(1314) devic(1160) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ cost(1906) reduc(1198) effect(832) }
{ first(2504) two(1366) second(1323) }
{ structur(1116) can(940) graph(676) }
{ method(2212) result(1239) propos(1039) }
{ imag(1947) propos(1133) code(1026) }
{ sequenc(1873) structur(1644) protein(1328) }
{ network(2748) neural(1063) input(814) }
{ imag(2675) segment(2577) method(1081) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ ehr(2073) health(1662) electron(1139) }
{ sampl(1606) size(1419) use(1276) }
{ data(3008) multipl(1320) sourc(1022) }
{ use(2086) technolog(871) perceiv(783) }
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{ can(774) often(719) complex(702) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
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{ patient(2315) diseas(1263) diabet(1191) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ error(1145) method(1030) estim(1020) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ model(2220) cell(1177) simul(1124) }
{ general(901) number(790) one(736) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ state(1844) use(1261) util(961) }
{ 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) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ result(1111) use(1088) new(759) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ 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

CKGROUND: As telehealth takes advantage of improved networks, there is a growing need to understand the infrastructure needs of future telehealth developments. This work aims to predict such needs based on current trends and research.MATERIALS AND METHODS: We conducted a literature review of telehealth with a focus on advanced network infrastructure. We drew inferences from our previous demonstrator projects in advanced telehealth, but the most important findings emerged from interviews with a panel of thought leaders.RESULTS: Our results show that there will be simultaneous and coupled evolution of telehealth through the space spanned by three axes: care models, clinical applications, and technology. We also consider a two-dimensional model of reach and complexity to describe future applications. Universal access to advanced networks will drive fundamental changes in healthcare deliver. The biggest change will be seen in home and mobile health care delivery, forming part of a trend toward patient-centric models. Other aspects of decentralization in healthcare systems will include networks of caregivers. Besides this reach trend, the complexity trend will include integrating multiple-channel applications and seamlessly moving large datasets in real time among hospitals, other medical facilities, and homes. There is a need to provide infrastructure that does not have an upper limit on quality of service and allows telehealth to address mobility, usability, interoperability, intelligence, and adaptability in a systematic way.

Resumo Limpo

ckground telehealth take advantag improv network grow need understand infrastructur need futur telehealth develop work aim predict need base current trend researchmateri method conduct literatur review telehealth focus advanc network infrastructur drew infer previous demonstr project advanc telehealth import find emerg interview panel thought leadersresult result show will simultan coupl evolut telehealth space span three axe care model clinic applic technolog also consid twodimension model reach complex describ futur applic univers access advanc network will drive fundament chang healthcar deliv biggest chang will seen home mobil health care deliveri form part trend toward patientcentr model aspect decentr healthcar system will includ network caregiv besid reach trend complex trend will includ integr multiplechannel applic seamless move larg dataset real time among hospit medic facil home need provid infrastructur upper limit qualiti servic allow telehealth address mobil usabl interoper intellig adapt systemat way

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