Perspect Health Inf Manag - What caused the breach? An examination of use of information technology and health data breaches.

Tópicos

{ record(1888) medic(1808) patient(1693) }
{ health(1844) social(1437) communiti(874) }
{ monitor(1329) mobil(1314) devic(1160) }
{ data(2317) use(1299) case(1017) }
{ implement(1333) system(1263) develop(1122) }
{ concept(1167) ontolog(924) domain(897) }
{ method(984) reconstruct(947) comput(926) }
{ howev(809) still(633) remain(590) }
{ care(1570) inform(1187) nurs(1089) }
{ system(1050) medic(1026) inform(1018) }
{ cost(1906) reduc(1198) effect(832) }
{ data(3008) multipl(1320) sourc(1022) }
{ use(1733) differ(960) four(931) }
{ studi(2440) review(1878) systemat(933) }
{ activ(1452) weight(1219) physic(1104) }
{ can(774) often(719) complex(702) }
{ inform(2794) health(2639) internet(1427) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ problem(2511) optim(1539) algorithm(950) }
{ design(1359) user(1324) use(1319) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ studi(1119) effect(1106) posit(819) }
{ spatial(1525) area(1432) region(1030) }
{ research(1218) medic(880) student(794) }
{ age(1611) year(1155) adult(843) }
{ intervent(3218) particip(2042) group(1664) }
{ result(1111) use(1088) new(759) }
{ estim(2440) model(1874) function(577) }
{ method(2212) result(1239) propos(1039) }
{ model(3404) distribut(989) bayesian(671) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ 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) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ control(1307) perform(991) simul(935) }
{ 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) }
{ data(3963) clinic(1234) research(1004) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ 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) }
{ activ(1138) subject(705) human(624) }
{ 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) }
{ 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) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Data breaches arising from theft, loss, unauthorized access/disclosure, improper disclosure, or hacking incidents involving personal health information continue to increase every year. As of September 2013, reported breaches affecting individuals reached close to 27 million since 2009, when compilation of records on breaches began. These breaches, which involved 674 covered entities and 153 business associates, involved computer systems and networks, desktop computers, laptops, paper, e-mail, electronic health records, and removable/portable devices (CDs, USBs, x-ray films, backup tapes, etc.). Even with the increased use of health information technology by health institutions and allied businesses, theft and loss (not hacking) constitute the major types of data breaches encountered. Removable/portable devices, desktop computers, and laptops were the top sources or locations of the breached information, while the top six states-Virginia, Illinois, California, Florida, New York, and Tennessee-in terms of the number of reported breaches accounted for nearly 75 percent of the total individual breaches, 33 percent of breaches in covered entities, and about 30 percent of the total breaches involving business associates.

Resumo Limpo

data breach aris theft loss unauthor accessdisclosur improp disclosur hack incid involv person health inform continu increas everi year septemb report breach affect individu reach close million sinc compil record breach began breach involv cover entiti busi associ involv comput system network desktop comput laptop paper email electron health record removableport devic cds usb xray film backup tape etc even increas use health inform technolog health institut alli busi theft loss hack constitut major type data breach encount removableport devic desktop comput laptop top sourc locat breach inform top six statesvirginia illinoi california florida new york tennesseein term number report breach account near percent total individu breach percent breach cover entiti percent total breach involv busi associ

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