ライフサイエンスコーパス: medical record

1 ) had AMD despite no diagnosis of AMD in the medical record.

2 retrospectively extracted from the patient's medical record.

3 Data on LOS were abstracted from the medical record.

4 ATA EXTRACTION AND Clinical information from medical record.

5 phic, laboratory, and clinical data from the medical record.

6 f which were not otherwise documented in the medical record.

7 ad a diagnosis of hyperparathyroidism in the medical record.

8 y data were extracted from the VA electronic medical record.

9 rimary care providers through the electronic medical record.

10 ent-reported errors that were present in the medical record.

11 Clinical information was abstracted from the medical record.

12 scoring tool integrated into the electronic medical record.

13 illing data and the second for data from the medical record.

14 n the previous 12 months were collected from medical records.

15 Clinical data were extracted from electronic medical records.

16 re identified via a search of the electronic medical records.

17 five patients had more comprehensive family medical records.

18 n-person examinations and complete access to medical records.

19 ervices Division of the NHS and from patient medical records.

20 d follow-up information were abstracted from medical records.

21 parameters of delivery were abstracted from medical records.

22 c outcomes were obtained from the electronic medical records.

23 clinical data were abstracted from patients' medical records.

24 through self-report, and birth outcomes from medical records.

25 djudicated by staff physicians via review of medical records.

26 n 30 days after discharge were gathered from medical records.

27 d by self-report (with location and date) or medical records.

28 nary death, or stroke) was adjudicated using medical records.

29 to treat constipation were coded in patient medical records.

30 lected using a structured, blinded review of medical records.

31 n the free-text narratives within electronic medical records.

32 ed based on patient report vs abstraction of medical records.

33 and biologic data by reviewing the patients' medical records.

34 roxidase antibody (TPOAb) were obtained from medical records.

35 llow-up, and recurrences were collected from medical records.

36 ral mastectomy (ULM) was abstracted from the medical records.

37 d in the analysis, with data abstracted from medical records.

38 seases and symptoms directly from electronic medical records.

39 SRT, and most recent PSA were recorded using medical records.

40 tion was extracted from subjects' electronic medical records.

41 (75.2%) had no AMD, in agreement with their medical record; 320 (24.8%) had AMD despite no diagnosis

42 tified through self-report and verified with medical records, 338 were also detected by linkage with

43 0.3%) had a weight entered in the electronic medical record 7 or more years after surgery and were in

44 Data were obtained by medical record abstraction and patient interviews, and a

45 tudies must account for these conditions via medical record abstraction or patient report.

46 res for each process or outcome measure on a medical record abstraction were calculated before and af

47 nt reporting provides information similar to medical record abstraction without significant differenc

48 d information was obtained via blood draw or medical record abstraction.

49 ere reported every 6 months and confirmed by medical record adjudication.

50 ere reported every 6 months and confirmed by medical record adjudication.

51 Data were entered into the medical record and a prospective registry.

52 Time stamps from the medical record and EHR audit log were analyzed to measur

53 ortedly have normal macular health per their medical record and the association of AMD with patient a

54 to discontinue after 48 h in the electronic medical record and the duration of therapy for pneumonia

55 Electronic medical records and all available imaging studies over a

56 e Forest Baptist Medical Center's electronic medical records and annotated with BioCarta signaling si

57 care use through 6 months were obtained from medical records and audio-recorded discussions between P

58 5 incident cases of POAG were confirmed with medical records and classified into subtypes defined by

59 OAG subtypes; 1483 cases were confirmed with medical records and classified into subtypes defined by

60 everity of ocular symptoms, we also reviewed medical records and conducted structured interviews.

61 A review of the electronic medical records and dictated reports identified patients

62 m 11 US healthcare systems in the Electronic Medical Records and Genomics (eMERGE) Network were rando

63 e Research Project, a site in the electronic Medical Records and Genomics Network, we apply each feat

64 hma and control subjects from the Electronic Medical Records and Genomics network.

65 diseases from the eMERGE network (Electronic Medical Records and Genomics; n=12 978).

66 Medical records and histology slides of patients with pr

67 Review of medical records and histopathology slides.

68 The authors reviewed the electronic medical records and imaging reports for all patients.

69 We retrospectively evaluated medical records and imaging studies of 22 consecutive pa

70 iteria and retrospectively analyzed clinical medical records and magnetic resonance imaging fluid-att

71 questionnaires and ascertained by review of medical records and pathology reports; intake of food an

72 To examine the agreement between medical records and patient reports in assessing comorbi

73 A retrospective analysis of patient medical records and skin photography was performed; 104

74 examinations, as well as complete access to medical records and specialist letters of study particip

75 Medical records and temporal bone images of patients wit

76 and potential confounders was collected from medical records and through mailed questionnaires.

77 Patients provided access to existing medical records and tumor specimens.

78 Data were collected from medical records and well-established nationwide Swedish

79 pment and implementation into the electronic medical record, and (5) ongoing review of data and proto

80 nt was determined by a blinded review of the medical record, and these scores ranged from 1 to 6.

81 haracteristics were obtained from electronic medical records, and ASCVD events were ascertained by us

82 he Research Patient Data Registry, patients' medical records, and blood bank records.

83 y-related data were collected via electronic medical records, and complications were calculated using

84 oteomic and metabolomic analyses, electronic medical records, and patient-reported health information

85 breviated Scale of Intelligence), brain MRI, medical records, and structured interviews with particip

86 articipant, we interviewed parents, reviewed medical records, and tested nasal and throat swabs for E

87 assessed by using follow-up imaging studies, medical records, and the state cancer registry.

88 ibing frequency, especially where electronic medical records are not available.

89 ponding questionnaire results extracted from medical records at the same time point.

90 patient reports, which are less costly than medical record audits, is a reasonable approach for obse

91 th type 1 diabetes and DKA and with complete medical records available for data analysis were include

92 ears or older with normal macular health per medical record based on their most recent dilated compre

93 We ascertained AF based on self-report, medical record billing codes, procedure codes, and death

94 ology was determined by review of the entire medical record by 2 ophthalmologists.

95 ther composite data were abstracted from the medical record by a neurologist blinded to radiologic da

96 emiological and clinical data extracted from medical records by blinded reviewers.

97 2006, and April 1, 2016, were extracted from medical records by participating investigators.

98 However, the electronic medical record can reliably be used to identify herpes z

99 n, the widespread availability of electronic medical records capable of supporting clinician order en

100 The medical record cards of 22,509 children were reviewed, o

101 s from a single blood sample with electronic medical record data (EMR) for the identification of pati

102 essing method was used to analyze electronic medical record data from an academic medical center from

103 he retrospective study, patients contributed medical record data from at least 2 and up to 4 visits f

104 Using medical record data from the Medical Monitoring Project,

105 xt-processing pipeline to analyze electronic medical record data in a retrospective cohort of patient

106 by review of administrative, laboratory, and medical record data.

107 A population-based, electronic medical records database from the Hong Kong Clinical Dat

108 e Health Improvement Network, a primary care medical records database in the United Kingdom.

109 The medical records department provided Medicare reimburseme

110 ne of these 3 criteria was documented in the medical records despite a PHQ score >/=10.

111 dy detection in cerebrospinal fluid (CSF) or medical record documentation of SSPE.

112 of discrepancies among patient-reported and medical record-documented medications in patients with c

113 151,678 Little Schmidy scores documented in medical records during the 5-year study period (2007-201

114 Electronic medical record (EMR) data from patients 10 years or olde

115 tation of patient symptoms in the electronic medical record (EMR) is important for high-quality patie

116 Retrospective analysis of electronic medical record (EMR) notes (OpenEyes) and paper case not

117 United Kingdom that use the same electronic medical record (EMR) system (Medisoft Ophthalmology; Med

118 evel administration data from the electronic medical record (EMR), and patient-level administration d

119 combining these measurements with electronic medical record (EMR).

120 e of increasing digital data from electronic medical records (EMR) and diagnostic devices.

121 The advent of Electronic Medical Records (EMR) with large electronic imaging data

122 hat combine chart data, including electronic medical records (EMR), with PRO symptoms may have design

123 Retrospective review of electronic medical records (EMRs) in an integrated health care syst

124 prescribing patterns by analyzing Electronic Medical Records (EMRs) including the narrative clinical

125 e an automated chart review using electronic medical records (EMRs).

126 determined through a query of the electronic medical record followed by individual medical record rev

127 urance billing claims accurately reflect the medical record for patients with diabetic retinopathy.

128 analysis of routine primary care electronic medical records for 1 424 378 adults in the UK, examinin

129 al weeks (IQR: 22-32 wk) were extracted from medical records for 661 pregnancies complicated by gesta

130 Project, which is a record-linkage system of medical records for all patient-physician encounters amo

131 Agreement between patient reports and medical records for each condition was assessed using th

132 ased genealogy resource linked to electronic medical records for health care systems across the state

133 onsensus review of the cognitive screens and medical records for men with suspected dementia who visi

134 re was agreement between patient reports and medical records for more than 90% of patients; agreement

135 able across all three sources, which include medical records for over 1.2 million patients and varian

136 Medical records for patients with dysthyroid ophthalmopa

137 th the increased use of data from electronic medical records for research, it is important to validat

138 Medical records from 223,375 singleton deliveries from 1

139 ionwide pharmacy claims linked to electronic medical records from a nationwide data warehouse.

140 Medical records from January 1, 2009, to May 31, 2015, w

141 Ocular Inflammation Database and electronic medical records from March 1, 2008, to December 12, 2015

142 ographic data were extracted from electronic medical records from the University of California, San F

143 tified potential errors and AEs by reviewing medical records, hospital incident reports, and clinicia

144 Review of the medical records identified 2891 biopsied skin lesions; 4

145 a medical history,, observation, analysis of medical records, imaging and others diagnostic tests.

146 Medical records, imaging data, nursing overtime, blood b

147 Medical records, imaging studies, and the results of bio

148 A review of individual medical records in 8 patients with a major Mini Mental S

149 kers (aged >/=16 years) were identified from medical records in 99 general practices and invited to p

150 This study was a retrospective analysis of medical records in a prospectively maintained database.

151 bservational study (2002-2008) of electronic medical records in the United States.

152 factors (>200) extracted from the electronic medical record included medications, comorbidities, labo

153 This retrospective review of medical records included 412 OTRs treated from November

154 Data abstracted from patient medical records included symptomatic relief and complica

155 tained via resurvey or linkage to electronic medical records (including hospital admissions and death

156 variates of interest were extracted from the medical records, including any hematologic complications

157 ive survey, followed by acquisition of their medical records, including histopathology slides and rep

158 egies (repeated-mailing outreach, electronic medical record-integrated provider best practice alert [

159 proach to quality improvement and electronic medical record integration has potential to significantl

160 Medical records, laboratory parameters and imaging studi

161 t participants from Olmsted County using the medical records linkage system of the Rochester Epidemio

162 Aging, a population-based study that uses a medical records linkage system to enumerate all individu

163 We used the medical records-linkage system of the Rochester Epidemio

164 tudy used the Rochester Epidemiology Project medical records-linkage system to identify all residents

165 Vanderbilt University's electronic medical record linked to a DNA biorepository was used to

166 umed by patients and those documented in the medical record may contribute to patient harm and impair

167 low-up combined with review of the patient's medical records (n = 291), or (c) consensus expert panel

168 ay 30, 2012, were identified from electronic medical records (n = 830).

169 The medical record of every patient undergoing ERCP 2009-201

170 For those classified as failure, the medical record of the 1-year examination was reviewed to

171 secondary data extracted from the electronic medical record of the Hospital Italiano of Buenos Aires.

172 To assess care quality, we abstracted medical records of 100 readmissions per condition using

173 The authors obtained medical records of 2,447 patients, of whom 888 were excl

174 Authors reviewed the electronic medical records of 3 treatment-naive HCV genotype 1a mal

175 led treatment information was collected from medical records of 325 cases and 1,204 matched controls.

176 The medical records of 334 patients who underwent primary tr

177 Retrospective analysis of the medical records of 4114 patients who underwent a colorec

178 ysician practices were assessed by reviewing medical records of 430 adult and 1075 pediatric dengue p

179 We reviewed the medical records of 457 consecutive patients (467 eyes in

180 Medical records of 55 patients with OA-MCL were reviewed

181 The medical records of 62 patients from whom S. lugdunensis

182 The medical records of 72 ODS patients who underwent magneti

183 We retrospectively reviewed medical records of 740 patients with melanoma who receiv

184 hester Epidemiology Project, we reviewed the medical records of all children (<19 years) diagnosed as

185 Retrospective chart review included medical records of all patients diagnosed with microbial

186 ollected retrospectively from the electronic medical records of ALS patients.

187 tailed phenotype information from electronic medical records of cancer patients.

188 We reviewed medical records of each case to confirm treatment sequen

189 A movement-disorders specialist reviewed the medical records of each individual to confirm the presen

190 Medical records of every child 12 years of age or younge

191 ulticenter (8 sites) retrospective review of medical records of eyes with DME treated with 0.7 mg int

192 data were gathered retrospectively from the medical records of patients who had been included in the

193 ormed a retrospective study by reviewing the medical records of patients who underwent ABOi DG ALDLT

194 The medical records of patients who underwent LSV for stage

195 Retrospective review of medical records of patients with a diagnosis of CTCL, in

196 We retrospectively analyzed electronic medical records of patients with Ehlers-Danlos Syndrome

197 We reviewed medical records of patients with LFS with germline TP53

198 Medical records of potential cases were reviewed.

199 nd Participants: Retrospective review of the medical records of seropositive patients identified in t

200 Medical records of the donor and infected transplant rec

201 Medical records of the identified individuals with CCM w

202 s disease who had 22q11.2 deletions from the medical records of these patients.

203 ular, and treatment data were extracted from medical records of uveitis cases.

204 er Permanente Northern California electronic medical records on at least 2 occasions any time from bi

205 We gathered detailed medical records on hospital admissions (n = 433,037 admi

206 Based on the medical records, only 3 cases were clinically diagnosed

207 history, clinical events committee review of medical records, or baseline HbA1c of 6.5% (48 mmol/mol)

208 ned from full review of paper and electronic medical records, prescriptions, and investigator definit

209 ength of stay ascertained via the electronic medical record (r=0.53; P=0.03).

210 the insulin/glucose chart in the electronic medical record, recommendations for insulin changes were

211 The NASR database, which includes medical records, results of electroencephalographic test

212 In each case, review of the medical record revealed that diagnosis of SJS preceded t

213 Analyses of patient medical records revealed that the treatment of patients

214 ve occurrences) were combined with data from medical record review (length of symptoms; times of init

215 n-detected hospitalizations was confirmed by medical record review as the reference standard.

216 Medical record review compared epidemiologic and clinica

217 tronic medical record followed by individual medical record review for confirmation by a uveitis spec

218 study was a single-institution retrospective medical record review from January 1, 1998, to April 6,

219 This retrospective case-control study and medical record review included 40011 patients with an In

220 etting, and Participants: This retrospective medical record review included all patients with SRSE wh

221 A medical record review of 55 patients for age at onset, m

222 This medical record review of all DKA admissions from Septemb

223 Medical record review of patients readmitted to any serv

224 , Setting, and Participants: A retrospective medical record review of patients undergoing nonvascular

225 etting, and Participants: This retrospective medical record review of spectral-domain optical coheren

226 7%) were assessed at 6.5 years of age (59 by medical record review only) alongside 371 controls.

227 ng the ratio of the confirmed cases found by medical record review to the total number of cases ident

228 Infants with NHS underwent structured medical record review using data-capture forms and blind

229 This retrospective medical record review was conducted at 3 clinical practi

230 Medical record review was performed from December 11, 20

231 We recruited women retrospectively (via medical record review) and prospectively at hospital dis

232 cipients and the 2 donors through interview, medical record review, and testing of available specimen

233 Medical record review, as was done in this study, is rec

234 with national and local treatment registers, medical record review, interviews with health care staff

235 vasive breast cancer cases were confirmed by medical record review.

236 f 20/30 or worse, owing primarily to AMD, by medical record review.

237 metrial cancer occurrences were confirmed by medical record review.

238 s, 224 cases were confirmed as uveitis after medical record review.

239 skin cancer was determined through detailed medical record review.

240 urveys; reports of illness were validated by medical record review.

241 of Diseases, Ninth Revision, code search and medical record review.

242 ic analyses were assessed through electronic medical record review.

243 primarily neovascular AMD) were confirmed by medical record review.The multivariable-adjusted HR for

244 Medical records review of possible cases was performed t

245 Medical records review was initiated on July 1, 2016, ev

246 investigations included patient interviews, medical records review, and laboratory testing including

247 we collected data prospectively and through medical record reviews of patients with confirmed or sus

248 ntly adjudicated by study physicians through medical record reviews using the prespecified criteria o

249 diagnostic code searching (1992-2010, >2500 medical record reviews).

250 re validated against Sepsis-3 criteria using medical record reviews.

251 Interviews and medical-record reviews were used to elicit information o

252 elopment and implementation of an electronic medical record system and a new league-wide injury surve

253 Follow-up electronic medical record system data were available for 163 subjec

254 that are overrepresented in both electronic medical record systems and in VARIMED come from two main

255 We used electronic medical records to ascertain data for antibiotic use, in

256 Key limitations include the use of existing medical records to assess outcomes, the inability to iso

257 fect information was also extracted from the medical records to compare with patient-reported data.

258 This was a retrospective analysis of patient medical records to determine the incidence of PCP infect

259 We subsequently reviewed patient medical records to determine the number of parent-report

260 s for each week of the epidemic and searched medical records to identify all cases of microcephaly fr

261 of high quality health knowledge graphs from medical records using rudimentary concept extraction is

262 ith the use of deidentified information from medical records varied by scenario and overall was assoc

263 A retrospective review of medical records was conducted from January 1, 2011, to D

264 A phenotyping algorithm mining electronic medical records was developed and validated to recruit c

265 A review of medical records was performed.

266 From the medical record, we obtained duration of hospitalization,

267 By linking to medical records, we discover a locus associated with bot

268 Reviewing single-center medical records, we identified all patients who underwen

269 g Swedish healthcare registers combined with medical records, we included 449 women who received a di

270 Medical records were abstracted to identify potential co

271 graphic and psychosocial characteristics and medical records were abstracted.

272 Results: Of 103 patients whose medical records were available for review, the 16 initia

273 Medical records were evaluated for clinical characterist

274 l, endometrial, and/or ovarian cancers whose medical records were included in the clinical database o

275 are facilities, public or private, and whose medical records were obtained from the national administ

276 Serial prenatal electronic medical records were obtained from women who were receiv

277 d; obstetric, labor, delivery, and pediatric medical records were obtained.

278 Patient-reported information and medical records were prospectively collected as part of

279 Medical records were queried for sex, age, method, and f

280 Original patient medical records were requested and reviewed when possibl

281 The medical records were reviewed 1 year preconversion to 1

282 Medical records were reviewed for 1369 eligible children

283 Medical records were reviewed for 29 patients.

284 Electronic medical records were reviewed for a 5-year period after

285 Medical records were reviewed for age, risk factors (fam

286 In this cohort study, medical records were reviewed for all vascular surgery p

287 Medical records were reviewed for demographics, Hanifin

288 Medical records were reviewed for disease severity.

289 Their medical records were reviewed for history, results of la

290 Electronic medical records were reviewed for OTRs diagnosed as havi

291 Medical records were reviewed for time of onset of defin

292 Medical records were reviewed from July 25, 2007, to Dec

293 Measurements: Medical records were reviewed from the time of abdominal

294 All medical records were reviewed to confirm a diagnosis of

295 Medical records were reviewed to identify infections dia

296 Medical records were systematically examined for demogra

297 ts, pathologic reports, and 30-day follow-up medical records were used as reference standards.

298 Death Index, Social Security Death Index and medical records were used for mortality assessment as of

299 Medical records were used to retrieve liver stiffness as

300 s of our study include the use of electronic medical records, which could have resulted in some degre