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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

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