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1                                      Data on administrative actions and process indicators from quart
2 bility framework was evaluated using data on administrative actions and select process indicators ass
3                              With respect to administrative actions, 1631 personnel (74%) received po
4         Today, "big data" often generated by administrative activities or survey are used to inform m
5 r survey are used to inform many commercial, administrative and clinical decisions.
6 outinely collected health data, obtained for administrative and clinical purposes without specific a
7                                 We leveraged administrative and clinical records on 1.86 million indi
8                          These findings from administrative and clinical registries support the safet
9 census block levels and aggregated to larger administrative and geographic areas of interest.
10 rveys on alcohol purchasing and consumption, administrative and healthcare data on 43 alcohol-attribu
11 rmation System Plus database, which contains administrative and laboratory data from 6 pediatric hosp
12 lving 121 union councils (the smallest rural administrative and local government unit) and find that
13 apanese men in service occupations, those in administrative and managerial positions, those in agricu
14 ng and colorectal cancer by occupation were "administrative and managerial" (by occupation) and "mini
15 nd demographic predictors were obtained from administrative and medical records.
16 ohort study used individual-level linkage of administrative and public health registers in Denmark.
17 heduled for surgery, linking these scores to administrative and quality improvement data to calculate
18             Retrospective cohort study using administrative and registry data from 2010.
19 fective use of data repositories by removing administrative and technical barriers.
20       We linked county-level census, survey, administrative, and vital statistics data to examine 4 s
21 near these patients' residences in different administrative areas in Taiwan to determine the recorded
22 ide whether information from a surgeon or an administrative assistant would be important to their hea
23                                      Stigma, administrative barriers, and economic limitations seem t
24 s, providing the most accurate health sector administrative boundaries to date for Cameroon.
25 utions that enable management to span across administrative boundaries, adaptive management, markets
26 issatisfaction with salary/reimbursement and administrative burden is substantial, and black and Hisp
27  will become more common as it decreases the administrative burden on the healthcare system and treat
28 cals were hindered by complex and cumbersome administrative burdens, data limitations, vulnerabilitie
29 erapy initiation until death from any cause, administrative censoring at 10 years after therapy initi
30 owed until tuberculosis diagnosis, death, or administrative censoring.
31  year before the time of cancer diagnosis or administrative censoring.
32  study was conducted using Missouri Medicaid administrative claims data (January 1, 2010, to December
33      Increasingly, the diagnostic codes from administrative claims data are being used as clinical ou
34     OptumLabs Data Warehouse, which includes administrative claims data for over 100 million commerci
35  A retrospective cohort study using enhanced administrative claims data from approximately 20% of pat
36           A retrospective cohort study using administrative claims data from January 1, 2006 to Decem
37 etrospective, propensity-matched study using administrative claims data from the OptumLabs Data Wareh
38 cted a prospective cohort study and analyzed administrative claims data from Truven Health Analytics
39                    Retrospective analysis of administrative claims data of patients discharged follow
40 l disagreement between clinical registry and administrative claims data on the occurrence of postoper
41             We used Medicare fee-for-service administrative claims data to identify acute care hospit
42 antially when using clinical registry versus administrative claims data.
43 les and Enrollment Database together with VA administrative claims data.
44 aries who underwent colorectal surgery using administrative claims data.
45 nd adolescents with sickle cell anemia using administrative claims data.
46 nters for Medicare & Medicaid Services (CMS) administrative claims data.
47 or septic shock between 2005 and 2014, using administrative claims data.
48        A retrospective cohort study using an administrative claims database associated with a large c
49                                              Administrative claims database of surgical patients was
50 NIU prevalence using a large, retrospective, administrative claims database.
51 c Centers for Medicare and Medicaid Services administrative claims for analyses.
52 urgeons National Database linked to Medicare administrative claims for follow-up, 9,464 propensity-ma
53                                        Using administrative claims from a 5% random sample of Medicar
54               Prevalence was estimated using administrative claims from a commercially insured popula
55 l study with time trends was conducted using administrative claims from all members aged 25 to 64 yea
56                            In an analysis of administrative claims from commercial and Medicare Suppl
57                                        Using administrative claims from commercial and Medicare Suppl
58 the North Carolina Cancer Registry linked to administrative claims from Medicare, Medicaid, and priva
59 e described the linkage of primary data with administrative claims using the Reasons for Geographic a
60 er, retrospective, observational study using administrative claims, physician databases, and electron
61 y linking multiple electronic survey, health administrative, clinical, laboratory, drug, and electron
62                             Under New Mexico Administrative Code, the New Mexico HPV Pap Registry, a
63 mitted to hospital, 117 (37%) were missed by administrative coding.
64 onal expertise, can work under a centralized administrative control system of assemblies managed by t
65 tablishment and oversight of TBIC policies), administrative controls (reducing HCWs' exposure to tube
66                     Existing engineering and administrative controls were strengthened.
67  sun-protection practices, environmental and administrative controls, and policy directives for sun s
68 L-4 environment using proper engineering and administrative controls.
69                      Our study revealed that administrative coverage with 3rd dose of diphtheria-pert
70 ons in Connecticut, USA (2007-14), we linked administrative custody and pharmacy databases with manda
71            We used national routine hospital administrative data (Hospital Episode Statistics) on all
72  outcomes after warfarin initiation using VA administrative data (in-system hospitalizations) and Med
73 d until March 2013 through provincial health administrative data (Ontario, Canada).
74                                     Enhanced administrative data (Premier, Charlotte, NC) from 534 U.
75 ted whether a precision medicine model using administrative data after outpatient mental health speci
76     This retrospective cohort study examined administrative data among 339,546 Taiwanese cancer deced
77 spective study was performed by analyzing RI administrative data and findings from supportive supervi
78 sed statistical simulations, informed by the administrative data and RCT, to assess the impact of imm
79 lications) outcomes, to be collected through administrative data and/or clinical records.
80                                              Administrative data are used for research, quality impro
81                         Many rely heavily on administrative data as a surrogate to reflect clinical r
82                                              Administrative data available before hospital discharge
83                          We demonstrate that administrative data can be used to identify possible dec
84 D) have used data from single centers or CDI administrative data codes of limited diagnostic accuracy
85 examined maternity admissions using hospital administrative data collected between April 1, 2002, and
86 e and generate demand for additional routine administrative data collection, or for systematic incorp
87 usefully supplement large-scale household or administrative data collections.
88 .6% had a parental hip fracture diagnosis in administrative data during an average of 32.9 years of f
89 entified from Veterans Health Administration administrative data extracts for fiscal years 2006 to 20
90           Data were collected in 2 waves: 1) Administrative data for 76,623 individuals (stage 1) was
91                               Using Medicare administrative data for fee-for-service disabled benefic
92                                              Administrative data for the month before each of 9650 in
93 ldren's hospitals in the United States using administrative data from 2010-2013.
94 rence-in-differences analysis using hospital administrative data from 2011 to 2014.
95                                        Using administrative data from the Army Study to Assess Risk a
96 scal years 2004 and 2013 was conducted using administrative data from the Department of Defense and V
97 e of admission, but incidence rates based on administrative data have previously produced large diffe
98 ed using linked population-based health care administrative data in Ontario, Canada.
99 ed using linked population-based health care administrative data in Ontario, Canada.
100 y of patients with atrial fibrillation using administrative data in Quebec, Canada, 1999 to 2013.
101 ning the scope and clinical applicability of administrative data in surgical outcomes improvement.
102            This study analyzes US government administrative data including the Centers for Medicare &
103 ement of outcomes for cancer hospitals using administrative data is difficult owing to lack of cancer
104                   Additional research beyond administrative data may be necessary to elucidate any be
105                                              Administrative data may have limited ability to account
106                                  We reviewed administrative data on 682,704 patients from a tertiary
107 ry, which contains comprehensive medical and administrative data on all active-duty soldiers.
108 for years 1980 through 2013 and by accessing administrative data on hospital inpatient and outpatient
109 ement Program outcome data were linked to VA administrative data on patients undergoing inpatient sur
110                                              Administrative data reveal that among those at highest r
111  normative, and geographically comprehensive administrative data set to determine whether military-co
112 ve population-based cohort study used linked administrative data sets in British Columbia (2004-2011)
113                                       Health administrative data sets were used to study children bor
114                Epidemiologic trends based on administrative data should account for policy-related ef
115             Conclusion The use of real-world administrative data showed that, despite lower rates of
116  records from Army and Department of Defense administrative data systems to examine sociodemographic,
117 mpered by the lack of integration among Army administrative data systems.
118                        Here, we use Medicare administrative data to examine the association between N
119        This retrospective cohort design used administrative data to identify dates of deployment for
120 ture from offspring reports and diagnoses in administrative data was good (kappa = 0.68).
121  is not a sepsis-specific tool applicable to administrative data with which to adjust for illness sev
122 ed research, conclusions derived solely from administrative data without validation of outcome events
123        Using New York statewide longitudinal administrative data, 38,776 patients, who underwent prim
124 tronic health record data and 2 developed in administrative data, also were predictive, with C statis
125                     In studies using patient administrative data, the identification of the first (in
126                                   When using administrative data, validation of results can identify
127               Using 2006 to 2010 national VA administrative data, we identified acute myocardial infa
128                                        Using administrative data, we identified all patients discharg
129 ich ICU LOS was the primary endpoint, and in administrative data, we showed that additional ICU time
130 l that provides reliable risk adjustment for administrative data.
131  merged with a 40% random sample of Medicare administrative data.
132 al selection biases inherent in registry and administrative data.
133 udies, genomics, and routine health-care and administrative data.
134 ght reflect adverse biology and/or errors in administrative data.
135 ed risk adjustment with clinical rather than administrative data.
136 her refine identification of ICU stays using administrative data.
137 roaches rely on fixed variables derived from administrative data.
138 ften studied through patient self-report and administrative data.
139  Disease (ICD) coding algorithm for use with administrative data.
140 fy stroke in research, particularly in large administrative data.
141 een 1998 and 2010 was based on province-wide administrative data.
142 atients were included from the SEER-Medicare administrative data.
143  protocol for analyzing anonymous aggregated administrative data.
144  as ESRD and death before ESRD outcomes from administrative data.
145 isk adjustment using information in Medicare administrative data.
146 search and outcomes reporting using standard administrative data.
147 codes relevant to critically ill patients in administrative data.
148 sk adjustment methods that can be applied to administrative data.
149          Data were extracted from a national administrative database ("Programme De Medicalisation de
150  Using a population-based hospital discharge administrative database (2005/2006 to 2011/2012), averag
151          Analysis of a large, representative administrative database confirmed established predictors
152                We interrogated our mandatory administrative database for all excimer laser extraction
153 ewed the Pediatric Health Information System administrative database for children who presented to th
154                           Using a large U.S. administrative database linked to laboratory results, th
155 ary 1, 2013, through December 31, 2015, this administrative database observational study compared out
156                   ICU data were linked to an administrative database of cardiac surgery patient disch
157       A cohort study was performed using the administrative database of Clalit Health Services, the l
158 ted with cardiovascular events using a large administrative database of United States hospital admiss
159     This simulation model study used a large administrative database of US medical and pharmacy claim
160 base is an all-payer, all-ages, longitudinal administrative database that provides data on more than
161             This observational study used an administrative database to measure the incidence of ASD
162         Data from the county health system's administrative database were obtained from January 26, 2
163                           Using a large U.S. administrative database, 14,865 patients with AF were id
164 servational study using the Premier Hospital administrative database.
165 ical records were obtained from the national administrative database.
166  from 1999 to 2008 in a large hospital-based administrative database.
167 lure Score by adapting it to a commonly used administrative database.
168 of prospectively collected data from a large administrative database.
169            With the use of the French medico-administrative databases (SNIIRAM and PMSI), this nation
170 aseline characteristics were determined from administrative databases and the Ontario Cancer registry
171                      Linked population-level administrative databases capturing treatment and crimina
172 ord linkage was performed of 8 Scotland-wide administrative databases covering dispensed prescription
173 The 2007 to 2012 institutional ACS-NSQIP and administrative databases for abdominal surgeries were ma
174 ing and Research Cooperative System (SPARCS) administrative databases for all patients older than 18
175  to PUD from 2004-2010 were identified using administrative databases from Calgary (n = 1374; discove
176 s of follow-up was conducted using data from administrative databases from Ontario, Canada, between J
177 ed, retrospective cohort study linked health administrative databases in Ontario, Canada, comprising
178 : Retrospective study using population-based administrative databases linked to 602371 pathology epis
179                                       Linked administrative databases of medical visits were used to
180 one mineral density (BMD) registry linked to administrative databases spanning 4 decades.
181 etrospective cohort study used linked health administrative databases to identify children born in On
182 lmonary angiographic and admission data from administrative databases was obtained for this study.
183 osis were ascertained from provincial health administrative databases with validated algorithms.
184 and childhood asthma in a birth cohort using administrative databases, and we determined the impact o
185 ere linked to population-level health system administrative databases, and were observed for 20 month
186                                 Using linked administrative databases, we categorized cause of death
187     In a population-based cohort study using administrative databases, we studied adults in Ontario,
188 BMD registry, and were followed using linked administrative databases.
189 linked to the provincial cancer registry and administrative databases.
190 duction of SSCs by retrospective analysis of administrative databases.
191 s incidence are largely based on analyses of administrative databases.
192 omes were adjudicated through a linkage with administrative databases.
193      We examined Medicare inpatient hospital administrative datasets for 2009 to 2011, processed usin
194            This study used all-capture state administrative datasets.
195                                      We used administrative discharge data derived from a large geogr
196                                     Hospital administrative discharge data were used to compare trend
197 egistry (NCT01588119), which is based in the administrative district of Dresden (Saxony, Germany), an
198  and measuring their impact on eye health in administrative "districts" of 0.5-5 million people.
199 a yellow fever vaccine for each second level administrative division across countries at risk of yell
200                           For each top-level administrative division, we calibrated the model to hist
201 he initial growth rate of EVD within country administrative divisions and find that it significantly
202 seven rounds, which were used as proxies for administrative divisions in a country.
203                            Our analysis uses administrative earnings records for over 12 million indi
204 d needs to be more efficient, undue focus on administrative efficiency and cost savings will not nece
205 lihood will continue in the DSM-5 era unless administrative efforts are made to alter this practice.
206                              Are the current administrative efforts reaching the right audience and w
207                                              Administrative evidence of homelessness within 30 days,
208 al insurance arrangements, and/or charges an administrative fee to patients, sometimes called a retai
209 ures were calculated using vaccine price and administrative fees.
210 enting strategies to overcome the political, administrative, financial, and cultural challenges that
211                           Although these are administrative guidelines, the subjects addressed encomp
212             Retrospective analysis of linked administrative health care data.
213                                Methods Using administrative health data, we used interrupted time ser
214 55 years was constructed from the provincial administrative health databases, consisting of patients
215 anada, from 1998 to 2007 that were linked to administrative health databases.
216                                              Administrative health insurance claims databases offer a
217 ncident diabetes cases were identified using administrative health records.
218  having a bariatric facility within the same administrative health region as the neighborhood made it
219 ation-based retrospective cohort study using administrative heath care databases in Ontario, Canada (
220  [Get With the Guidelines-Heart Failure]); 2 administrative HF mortality prediction models (Premier,
221 2009 to 2013 were identified from nationwide administrative hospital data.
222                                        Using administrative hospitalization data between 1994 and 201
223 (iREC) provides a centralized scientific and administrative infrastructure enabling engagement of lar
224                                    The large administrative insurance claims database includes 14 mil
225 ; N=95 884 hospital admissions) by review of administrative, laboratory, and medical record data.
226 ntation that engages frontline providers and administrative leadership is essential for success.
227    We did the model simulations at the first administrative level (ie, state or province) for the 80
228 ational surveillance programmes at the first administrative level from Jan 1, 2010, to Dec 31, 2013,
229  we used total population data at the second administrative level to estimate the size of at-risk pop
230 e different levels-national, and subnational administrative levels 1 and 2-to provide the full range
231 ent needed to prevent morbidity at different administrative levels in 44 countries.
232 led overwhelming satisfaction with the IACUC administrative office and the animal resource unit, seve
233 difications, and satisfaction with the IACUC administrative office and the animal resource unit.
234 l studies were approved by the Institutional Administrative Panel on Laboratory Animal Care at Stanfo
235 g animals were approved by the Institutional Administrative Panel on Laboratory Animal Care at Stanfo
236  and animal experiments were approved by the administrative panel on laboratory animal care.
237   The reasons for delay were multifactorial: administrative (police case recordings, admission paper
238 most affected by ICU care, least affected by administrative policies and practically feasible for car
239                             Estimates of the administrative prevalence (clinically diagnosed or recor
240 des a systematic review of the community and administrative prevalence of ADHD in children and adoles
241 ) estimates costs directly from clinical and administrative processes used in patient care, thereby p
242  and assessed at national, subnational first administrative (provincial), or fine-scale (5 km(2) pixe
243 ndomisation and two patients dropped out for administrative reasons.
244  administered vaccines at each facility, and administrative record reviews.
245                                      Matched administrative records identified 895 former foster yout
246 -based cohort of women aged 15-44 years from administrative records in Denmark (1995-2012).
247                                  We analyzed administrative records of investigator requests for data
248 ta from the UMETRICS project, which provided administrative records on graduate students supported by
249 ity's ophthalmology service as determined by administrative records, as well as factors associated wi
250 ined demographic/clinical data from hospital administrative records.
251  calculated from the payer perspective using administrative records.
252 rmants, neuropsychological test results, and administrative records.
253 area (i.e., a sous-prefecture, a third-level administrative region).
254 from the Government of the Hong Kong Special Administrative Region, Harvard Center for Communicable D
255 from 13.9 to 30.1/10,000 between healthboard administrative regions (p < 0.001).
256 malaria treatment centres at 55 sites in ten administrative regions in Myanmar, and in relevant borde
257                    In seven (70%) of the ten administrative regions of Myanmar, the combined K13-muta
258 ate and demography with viral movement among administrative regions, inferring a classic 'gravity' mo
259 sity hospitals in seven countries or special administrative regions.
260 using individual-level linkage of nationwide administrative registers.
261  population from individual-level linkage of administrative registers.
262  were linked at the individual level through administrative registers.
263  conducted using individual-level linkage of administrative registers.
264 s obtained using individual-level linkage of administrative registers.
265 ry 1, 1995-December 31, 2012) were linked in administrative registers.
266                             Using nationwide administrative registries in Denmark (2002-2011), we stu
267             Patients were identified through administrative registries, and information on age, sex,
268 ease were identified using Danish nationwide administrative registries.
269 e companies providing payments, and evaluate Administrative Regulations enforcement.
270 erican Academy of Dermatology enforced their Administrative Regulations for guideline development.
271                            Violations to the Administrative Regulations were found.
272 ations, and vendors) regarding how any given administrative requirement, regulation, or program shoul
273 ssure to be clinically productive, excessive administrative responsibilities, difficulty obtaining ex
274 nt, and often can shift between clinical and administrative responsibilities.
275 patients (RAI score, >/=21) were flagged for administrative review by the chief of surgery (or design
276 on of foreign capital, new innovation bonds, administrative savings, patent pools, and public-private
277 ions across different spatial, temporal, and administrative scales.
278 s where inappropriate; not using nonspecific administrative secondary diagnosis codes to study in-hos
279 11% for clinical care or operations, 29% for administrative services (such as billing), and 52% for s
280 ata from automatically-collected medical and administrative sources were combined and used to provide
281  in the last year of life was obtained using administrative sources.
282 r land (14.6%), decontamination (14.3%), and administrative support (18.3%).
283 lumes combined with staff shortages, minimal administrative support, and poor interhospital care coor
284                       The Moorfields Patient Administrative System and OpenEyes electronic databases
285 tamped by royal seals as part of the ancient administrative system in Judah (Jerusalem and its vicini
286 ildren's Research Hospital, and SJLTFU is an administrative system-based study initiated in 2000 to c
287  outlines a cohesive framework for analyzing administrative tasks through several lenses to better un
288 licy recommendations to address the issue of administrative tasks to mitigate or eliminate their adve
289 lectronic health record [EHR] and desk work, administrative tasks, and other tasks) and self-reported
290 ost, and patient care due to the increase in administrative tasks.
291  in the organisation; clinical team members, administrative team members, service managers/team leade
292 , and 33% were satisfied/very satisfied with administrative time.
293 ivist better understand published studies on administrative topics related to critical care medicine
294 and extent of surgery, and also the hospital administrative-type and location were retrieved.
295 es between functionality and system type and administrative unit (e.g., district).
296 y 36% if elimination is defined at the first administrative unit.
297 nation do not map directly onto sub-national administrative units and transnational coldspots exist.
298 rvice areas were defined as the governmental administrative units closest to both hospitals.
299  of life lost (YLL) in all 33 province-level administrative units in mainland China, all of which we
300 nd regression tree algorithm with additional administrative variables offers further improvements to

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