ライフサイエンスコーパス: administrative

1 eeing patients and physicians of inefficient administrative and billing tasks and documentation requi

2 rs in 3 U.S. geographic locations using both administrative and clinical data sources.

3 We leveraged administrative and clinical records on 1.86 million indi

4 luenza-associated ARFI among pregnant women, administrative and electronic health record data were an

5 ew methods for carrying out research through administrative and health care data bases linked to biob

6 rmation System Plus database, which contains administrative and laboratory data from 6 pediatric hosp

7 lving 121 union councils (the smallest rural administrative and local government unit) and find that

8 apanese men in service occupations, those in administrative and managerial positions, those in agricu

9 were analyzed in terms of agreement between administrative and NSQIP data.

10 es, and models have been developed to inform administrative and policy decision makers to forecast de

11 ohort study used individual-level linkage of administrative and public health registers in Denmark.

12 We hypothesized that concordance between administrative and registry data would also be poor.

13 and efficient clinical trials; (3) minimize administrative and regulatory burdens on research sites;

14 completeness of registry databases presents administrative and resourcing challenges, but it is impo

15 es from 2000-2017, providing policy-relevant administrative- and national-level estimates.

16 suggest that VC variations cannot explain PM administrative area differences.

17 graphic coordinates of the centroid of their administrative area of origin for lack of a better alter

18 cused control programme that targets smaller administrative areas at risk of continued transmission.

19 equences that are only associated with large administrative areas of origin and assign them with more

20 ed that, despite some variations of VC among administrative areas, vaccine impact on vaccine-serotype

21 erotype PM was homogeneously confirmed among administrative areas.

22 oduction at regional levels and among French administrative areas.

23 ide whether information from a surgeon or an administrative assistant would be important to their hea

24 rocess for coverage decisions that minimizes administrative barriers and is defensible on the basis o

25 Background Important administrative-based measures of hospital quality, inclu

26 conducted a retrospective cohort study using administrative birth records from 2012 to 2015 (N = 23,4

27 s, providing the most accurate health sector administrative boundaries to date for Cameroon.

28 utions that enable management to span across administrative boundaries, adaptive management, markets

29 ample areas and nationwide information about administrative boundaries, building locations, settlemen

30 ll stakeholders, it may significantly reduce administrative burden for clinicians and payers while im

31 ate a hidden surcharge to cover their costly administrative burden.

32 atically generated and shared, thus reducing administrative burdens and improving the quality of info

33 These lessons pertain to handling panic and administrative burdens in the aftermath of closure, the

34 (>12 months with no HIV appointment), death, administrative censoring (2011-2014), or 5 years of foll

35 year, >=90 days apart, observed until death, administrative censoring (31 December 2016), or loss to

36 year, >=90 days apart, observed until death, administrative censoring (December 31, 2016), or loss to

37 year before the time of cancer diagnosis or administrative censoring.

38 2.2) that were half that of studies based on administrative claims (21.4; 95%CI: 19.5-23.3) or modeli

39 al, real-world data asset with de-identified administrative claims and electronic health record data,

40 nal real-world data asset with de-identified administrative claims and electronic health records data

41 Administrative claims and employment data were gathered

42 -line classes across a global network of six administrative claims and three electronic health record

43 ailability of certain clinical parameters in administrative claims data and the inability to evaluate

44 Administrative claims data are commonly used for sepsis

45 tional difference-in-differences study using administrative claims data covering 6.7% of US adults.

46 We performed a retrospective analysis of administrative claims data from community hospital and p

47 A retrospective cohort study using administrative claims data from January 1, 2006 to Decem

48 This was a retrospective study of administrative claims data from the MarketScan Commercia

49 etrospective, propensity-matched study using administrative claims data from the OptumLabs Data Wareh

50 In this retrospective study, using administrative claims data from the OptumLabs Data Wareh

51 This study uses administrative claims data to describe trends in use of

52 s known about the comparative performance of administrative claims data versus clinician-triggered ev

53 cial health insurance enrollees from the US, administrative claims data were derived from 2 databases

54 er design and 2013-2017 Mississippi Medicaid administrative claims data.

55 trospective analyses from medical records or administrative claims data.

56 Using a US administrative claims database with linked laboratory da

57 A de-identified longitudinal administrative claims database, the OptumLabs(R) Data Wa

58 sources, such as electronic health records, administrative claims databases and quality monitoring r

59 In this work, we used a large administrative claims dataset to (1) explore the systema

60 analysis was conducted of public and private administrative claims for Michigan residents insured by

61 ending based on the most currently available administrative claims from commercial and Medicare Suppl

62 Using administrative claims from commercial and Medicare Suppl

63 the North Carolina Cancer Registry linked to administrative claims from Medicare, Medicaid, and priva

64 r work is necessary to determine the role of administrative claims in event ascertainment in both pro

65 derivable from electronic health records or administrative claims records, is essential to successfu

66 Medicare administrative claims were used to evaluate mortality an

67 oncordant between physician adjudication and administrative claims.

68 th between July 2012 and December 2017 using administrative-claims data from across the United States

69 on), virologic failure, cART regimen switch, administrative close, death, or loss to follow-up.

70 Under New Mexico Administrative Code, the New Mexico HPV Pap Registry, a

71 Using administrative codes, we identified prolonged acute mech

72 Despite limitations inherent in administrative coding, this analysis of symptom codes ac

73 d abuse, $58.5 billion to $83.9 billion; and administrative complexity, $265.6 billion.

74 Economic and health benefits, cost of goods, administrative complexity, and user perspectives will be

75 ns that reduce waste, excluding savings from administrative complexity, ranged from $191 billion to $

76 care, pricing failure, fraud and abuse, and administrative complexity.

77 fied that focused on interventions targeting administrative complexity.

78 guide the creation of efficient operational administrative control units.

79 ntensity of land use within the economic and administrative core of the city began to decline more th

80 ecline in occupation within the economic and administrative core of the city, rather than an abrupt d

81 expansion on utilization, evaluate provider administrative costs in varied existing single-payer sys

82 aths were classified via adjudication and/or administrative criteria.

83 elated mortality, defined by adjudication or administrative criteria.

84 ons in Connecticut, USA (2007-14), we linked administrative custody and pharmacy databases with manda

85 We used national routine hospital administrative data (Hospital Episode Statistics) on all

86 d until March 2013 through provincial health administrative data (Ontario, Canada).

87 Enhanced administrative data (Premier, Charlotte, NC) from 534 U.

88 valuates over 15,000 patients using the same administrative data abstraction tools as in the trial.

89 ted whether a precision medicine model using administrative data after outpatient mental health speci

90 Back pain and OUD were identified using administrative data algorithms.

91 Reliance on administrative data and billing codes.

92 Pathology information was linked to hospital administrative data and index of relative socio-economic

93 We use state government administrative data and machine learning methods to exam

94 We compared administrative data and National Surgical Quality Improv

95 sed statistical simulations, informed by the administrative data and RCT, to assess the impact of imm

96 ts with COPD in Ontario, Canada using health administrative data and respiratory specimens collected

97 tudy using routinely collected data (patient administrative data and rosters) linked to nurses-in-cha

98 lications) outcomes, to be collected through administrative data and/or clinical records.

99 The NSQIP, NHSN, and administrative data are the primary systems used to moni

100 performed a retrospective cohort study using administrative data collected during 2010-2017 from 682

101 e and generate demand for additional routine administrative data collection, or for systematic incorp

102 We use administrative data documenting individual fishing event

103 .6% had a parental hip fracture diagnosis in administrative data during an average of 32.9 years of f

104 ng 2002-2014 population-based laboratory and administrative data for adults with stage 4 CKD in Alber

105 incident cases were identified by searching administrative data for persons with a shoulder bursitis

106 e cohort study using population-based health administrative data from Alberta (2002-2015), British Co

107 ation-based retrospective cohort study using administrative data from Ontario, Canada.

108 , population-based cohort study using linked administrative data in Ontario, Canada.

109 udy involving T2DM was conducted with health administrative data in Taiwan.

110 Health administrative data is increasingly used to conduct popu

111 1985 to 2015 were identified using a health administrative data linkage involving migrants to Britis

112 Additional research beyond administrative data may be necessary to elucidate any be

113 Ontario health administrative data may reasonably discriminate levels o

114 present study shows that routinely collected administrative data provide useful information for healt

115 This study shows that routinely collected administrative data provide useful information for healt

116 est neural network model and that the use of administrative data result in competitive performance co

117 Individual-level administrative data sets and active surveillance data we

118 tial complement traditional survey-based and administrative data sources for high-resolution urban su

119 ltiple nationally representative surveys and administrative data sources spanning 2001-16.

120 Administrative data sources were used to control for bas

121 We used multiple administrative data sources, identifying 7,525 Medicaid-

122 and spatial resolution of publicly available administrative data such as census data.

123 nformation was retrieved from the hospital's administrative data system to determine whether anyone h

124 We queried the NHSN, NSQIP, and administrative data systems for patients who had an oper

125 ndex at inconsistent time points, and/or use administrative data to define sepsis.

126 We used Ontario health administrative data to develop predictive models of dise

127 Here, we use Medicare administrative data to examine the association between N

128 performed a retrospective cohort study using administrative data to identify all adults who received

129 istry, respiratory virus testing, and health administrative data to identify the study population and

130 We linked this cohort to Ontario health administrative data to test the capacity of administrati

131 ture from offspring reports and diagnoses in administrative data was good (kappa = 0.68).

132 ated algorithm for mortality in sepsis using administrative data was used.

133 s) and employment outcomes (3 outcomes) from administrative data were compared among 20 intervention

134 Administrative data were used to identify hospitalizatio

135 and when self-report, informant report, and administrative data were used.

136 ance between the 3 systems (NHSN, NSQIP, and administrative data) was analyzed using Cohen's kappa.

137 ith reported SSI rates of 0.5% (NHSN), 0.7% (administrative data), and 1.0% (NSQIP).

138 In national administrative data, 22 474 US adults receiving a first

139 Using health administrative data, all adults who survived to discharg

140 ich ICU LOS was the primary endpoint, and in administrative data, we showed that additional ICU time

141 ggest new avenues for prevention using state administrative data, which could aid providers in making

142 formance was quantitatively compared with an administrative data-based least absolute shrinkage and s

143 sible unmeasured confounding from the use of administrative data.

144 47) surveys; patient interviews (n = 5); and administrative data.

145 sepsis hospitalization was identified using administrative data.

146 The study used an observational design and administrative data.

147 sk adjustment methods that can be applied to administrative data.

148 her refine identification of ICU stays using administrative data.

149 n estimated measure of stroke severity using administrative data.

150 re merged with intra-institutional inpatient administrative data.

151 search and outcomes reporting using standard administrative data.

152 ion of SSIs reported by the NHSN, NSQIP, and administrative data.

153 ore credible estimates of sepsis trends than administrative data.

154 This was a retrospective cohort study using administrative data.

155 elective colectomy in a multipayer national administrative database (2010-2014).

156 e included if they were national or regional administrative database cohort studies reporting compara

157 Using a large U.S. administrative database linked to laboratory results, th

158 Dataset, and Hospital Episode Statistics, an administrative database of all hospital admissions.

159 ICU data were linked to an administrative database of cardiac surgery patient disch

160 tion des Systemes d'Information," the French administrative database that collects information on all

161 This observational study used an administrative database to measure the incidence of ASD

162 In this nationally representative administrative database, the most common identified path

163 lure Score by adapting it to a commonly used administrative database.

164 of prospectively collected data from a large administrative database.

165 nformation, medical documentation and health administrative databases accompanies the screening progr

166 aseline characteristics were determined from administrative databases and the Ontario Cancer registry

167 e Research Team) cohort, created from linked administrative databases from the province of Ontario, C

168 Clinical and administrative databases in Ontario, Canada were linked

169 ed, retrospective cohort study linked health administrative databases in Ontario, Canada, comprising

170 esign study and linked laboratory and health administrative databases in Ontario, Canada, we estimate

171 rt study by linking several population-based administrative databases in Ontario, Canada.

172 Using administrative databases linked to 1.7 million New Zeala

173 Linked administrative databases of medical visits were used to

174 Outcomes were ascertained from health administrative databases using validated algorithms.

175 Multiple administrative databases were linked to identify people

176 d stroke cases were ascertained using health administrative databases with validated algorithms.

177 osis were ascertained from provincial health administrative databases with validated algorithms.

178 and childhood asthma in a birth cohort using administrative databases, and we determined the impact o

179 We used 2 large US administrative databases, the Truven Health MarketScan D

180 Using linked administrative databases, we categorized cause of death

181 Using administrative databases, we extended previous descripti

182 Using the Danish nationwide administrative databases, we investigated the incidence

183 Brazilian state and our retrospective use of administrative databases.

184 rs between 2006 and 2015 was performed using administrative databases.

185 tified using validated diagnostic codes from administrative databases.

186 aluated pediatric herpes zoster trends using administrative databases.

187 rmation on residents of Ontario, Canada from administrative databases; the sample was restricted to i

188 rvice (NHS) cancer registration and hospital administrative datasets for patients aged 15-84 years, d

189 y capture a larger patient population within administrative datasets that are different from those id

190 tre for Health Record Linkage to several NSW administrative datasets, including the Perinatal Data Co

191 We used three linked NSW and national administrative datasets.

192 derived from similar hospital admissions in administrative datasets.

193 Time constraints, technology, and administrative demands of modern medicine often impede t

194 infections in Florida were identified using administrative diagnostic codes and were grouped by subs

195 We used administrative discharge data derived from a large geogr

196 a yellow fever vaccine for each second level administrative division across countries at risk of yell

197 gramme, give lectures, and carry out various administrative duties.

198 Are the current administrative efforts reaching the right audience and w

199 They are often seen as an administrative exercise and not as an integral part of r

200 Insurance overhead; administrative expenditures of hospitals, physicians, nu

201 chnical endoscopic factors, 17% of PCCRCs by administrative factors (follow-up procedures delayed/not

202 ed to reduce technical, decision-making, and administrative factors.

203 averaged over $15,000 per claim in legal and administrative fees.

204 Geographically, the administrative governorates with highest refugee concent

205 imulate future changes in the position of an administrative hazard zone, as a proxy for risk of harde

206 spective cohort study using population-based administrative health care data from Ontario, Canada (20

207 r using a national database of de-identified administrative health claims of opioid-naive patients un

208 ducted a population-based study using linked administrative health data to develop parallel cohorts o

209 Methods Using administrative health data, we used interrupted time ser

210 This study uses Canadian administrative health databases to estimate gestational

211 This study utilises administrative healthcare data-real world data (RWD)-and

212 owever, this information is not available in administrative healthcare data.

213 blicly funded healthcare system using linked administrative healthcare databases from Ontario, Canada

214 a population-based cohort study using linked administrative healthcare databases from Ontario, Canada

215 Based on the French administrative hospital-discharge database, the study co

216 Based on the French administrative hospital-discharge database, the study co

217 ntifungal susceptibility, and navigating the administrative hurdles required to integrate an assay in

218 In 2016, DPT3 coverage at the second administrative (ie, district) level varied by more than

219 We applied a nested case-control study to administrative insurance claims data to identify cases w

220 Administrative insurance claims were drawn from the Truv

221 disease ecology, human/animal infection, and administrative issues, is essential to address challenge

222 n involved scientific, ethics, clinical, and administrative leaders.

223 ormed decision making at the smallest health administrative level in the country.

224 e different levels-national, and subnational administrative levels 1 and 2-to provide the full range

225 All conferences, including administrative meetings, support groups, and educational

226 cessary) non-survey data from other sources (administrative, modelled, and imputed data).

227 hose more senior scientists contemplating an administrative move.

228 (kappa values NSQIP-NHSN = 0.50 [0.40-0.60], administrative-NHSN = 0.36 [0.24-0.47], and administrati

229 e study is that RWHAP data are collected for administrative, not research, purposes, and clinical out

230 administrative-NHSN = 0.36 [0.24-0.47], and administrative-NSQIP = 0.47 [0.38-0.57]).

231 led overwhelming satisfaction with the IACUC administrative office and the animal resource unit, seve

232 difications, and satisfaction with the IACUC administrative office and the animal resource unit.

233 ailable data are cross-sectional, drawn from administrative or claims data, or based on qualitative w

234 ely transitioned its care delivery model and administrative organization to conform to a new healthca

235 and animal experiments were approved by the administrative panel on laboratory animal care.

236 All healthcare workers and administrative personnel at the seven hospitals, pre-hos

237 t system, health costs, and number of health administrative personnel per capita resembled those of t

238 reased risk for the onset of COVID-19: male, administrative personnel, underlying disease, and high-r

239 des a systematic review of the community and administrative prevalence of ADHD in children and adoles

240 A combination of scientific and administrative rationale contributed to favorable outcom

241 ndomisation and two patients dropped out for administrative reasons.

242 Expanding data sources, including administrative records and data from emerging technologi

243 The Data come from wards administrative records and the analysis is performed usi

244 dated individual-level turnout data from the administrative records at the polling station, genetic c

245 We analyzed administrative records from 2,483,684 Californian births

246 18-55 years based on retrospective review of administrative records from 2010-2018.

247 d Census records are merged with surveys and administrative records in Chicago.

248 Using a combination of administrative records, representative surveys, computer

249 Asia Pacific region (ie, Hong Kong [Special Administrative Region], Japan, New Zealand, Singapore, a

250 nce maps showed that the lowest-level health administrative regions could be categorised into low ris

251 1, 300 medical institutions in 15 provincial administrative regions in China participated in the stud

252 of 5,570) of municipalities across all five administrative regions of Brazil.

253 tionwide alert was triggered, 32%-41% of the administrative regions of France were experiencing an ep

254 ale-up on HIV incidence and mortality for 23 administrative regions of Ukraine.

255 V prevalence and incidence among PWID for 23 administrative regions of Ukraine.

256 ression models predicting moose abundance by administrative regions.

257 cluster-randomised trial, 90 shehias (small administrative regions; clusters) in Zanzibar eligible o

258 We used data from Finnish administrative registers covering a 20% random sample of

259 ry 1, 1995-December 31, 2012) were linked in administrative registers.

260 cohort study using data from Danish national administrative registries was conducted.

261 The Danish nationwide administrative registries were interrogated to assess th

262 rtic dissection) using the Danish nationwide administrative registries.

263 Violations to the Administrative Regulations were found.

264 ne delivery throughout Africa and strengthen administrative reporting systems, most countries still r

265 res; and (4) the application of clinical and administrative research databases to assess real-world o

266 ficient and overlapping management, waste of administrative resources, and serious obstacles to wildl

267 Administrative responsibilities associated with document

268 ssure to be clinically productive, excessive administrative responsibilities, difficulty obtaining ex

269 n, and balance my research with teaching and administrative responsibilities.

270 dervalued in current criteria (eg, training, administrative roles, or other activities that are condu

271 The gap in health administrative spending between the United States and Ca

272 (follow-up procedures delayed/not booked by administrative staff), and 27% of PCCRCs by decision-mak

273 lly influenced who works in the contemporary administrative state.

274 Of 412 avenues and cells (the lowest administrative structures; 99 in Beni and 313 in Butembo

275 Hopkins inHealth and COVID-19 Administrative Supplement for the HHS Region 3 Treatment

276 r land (14.6%), decontamination (14.3%), and administrative support (18.3%).

277 tamped by royal seals as part of the ancient administrative system in Judah (Jerusalem and its vicini

278 outlines a cohesive framework for analyzing administrative tasks through several lenses to better un

279 licy recommendations to address the issue of administrative tasks to mitigate or eliminate their adve

280 ost, and patient care due to the increase in administrative tasks.

281 and extent of surgery, and also the hospital administrative-type and location were retrieved.

282 es between functionality and system type and administrative unit (e.g., district).

283 eferenced at broad spatial scale such as the administrative unit of origin, rather than more precise

284 sing data on food consumption for 7108 urban administrative units (UAUs), we simulate total transport

285 0.140 in Niger (with mean across first-level administrative units = 0.277 and standard deviation [SD]

286 755 in Albania (with mean across first-level administrative units = 0.603 and SD 0.089).

287 nty interval [UI] 64.6-80.3) of second-level administrative units in Africa from 2000 to 2016, but su

288 yse health patterns in the 34 province-level administrative units in China from 1990 to 2017.

289 specific incidence data, and apply it to 359 administrative units in Thailand, Colombia, Brazil and M

290 tising vaccine allocation among countries or administrative units to maximise cases or deaths averted

291 DPT3 coverage or higher in all second-level administrative units with high confidence (posterior pro

292 es (for national comparisons) or first-level administrative units within countries (for subnational c

293 f information beyond first- and second-level administrative units, and limited generalizability beyon

294 Clusters, defined by local administrative units, were randomly assigned (1:1) to in

295 lant care has focused on differences between administrative units-such as states-rather than units de

296 We tested 20 administrative variables in 587 eligible patients.

297 ardized and risk adjusted using clinical and administrative variables in an observed-over-expected fr

298 nd regression tree algorithm with additional administrative variables offers further improvements to

299 administrative data to test the capacity of administrative variables to discriminate different level

300 s study finds significant differences in how administrative versus registry data assess patient-level