Mostrando 181 - 200 Resultados de 258 Para Buscar '"pseudonym"', tiempo de consulta: 0.16s Limitar resultados
  1. 181
    por Jefferson, Emily, Cole, Christian, Mumtaz, Shahzad, Cox, Samuel, Giles, Thomas Charles, Adejumo, Sam, Urwin, Esmond, Lea, Daniel, Macdonald, Calum, Best, Joseph, Masood, Erum, Milligan, Gordon, Johnston, Jenny, Horban, Scott, Birced, Ipek, Hall, Christopher, Jackson, Aaron S, Collins, Clare, Rising, Sam, Dodsley, Charlotte, Hampton, Jill, Hadfield, Andrew, Santos, Roberto, Tarr, Simon, Panagi, Vasiliki, Lavagna, Joseph, Jackson, Tracy, Chuter, Antony, Beggs, Jillian, Martinez-Queipo, Magdalena, Ward, Helen, von Ziegenweidt, Julie, Burns, Frances, Martin, Joanne, Sebire, Neil, Morris, Carole, Bradley, Declan, Baxter, Rob, Ahonen-Bishopp, Anni, Smith, Paul, Shoemark, Amelia, Valdes, Ana M, Ollivere, Benjamin, Manisty, Charlotte, Eyre, David, Gallant, Stephanie, Joy, George, McAuley, Andrew, Connell, David, Northstone, Kate, Jeffery, Katie, Di Angelantonio, Emanuele, McMahon, Amy, Walker, Mat, Semple, Malcolm Gracie, Sims, Jessica Mai, Lawrence, Emma, Davies, Bethan, Baillie, John Kenneth, Tang, Ming, Leeming, Gary, Power, Linda, Breeze, Thomas, Murray, Duncan, Orton, Chris, Pierce, Iain, Hall, Ian, Ladhani, Shamez, Gillson, Natalie, Whitaker, Matthew, Shallcross, Laura, Seymour, David, Varma, Susheel, Reilly, Gerry, Morris, Andrew, Hopkins, Susan, Sheikh, Aziz, Quinlan, Philip
    Publicado 2022
    “…METHODS: A federated infrastructure model (COVID - Curated and Open Analysis and Research Platform [CO-CONNECT]) was rapidly built to enable the automated and reproducible mapping of health data partners’ pseudonymized data to the Observational Medical Outcomes Partnership Common Data Model without the need for any data to leave the data controllers’ secure environments, and to support federated cohort discovery queries and meta-analysis. …”
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  2. 182
    “…Objectives  The objective of this work is to present an integrated system of ad hoc interfaces and tools that we use to perform pseudonymous clinical data collection, both manually and automatically, to support clinical trials. …”
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    Online Artículo Texto
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    “…The device can send data wirelessly for remote monitoring and allows for the collection of data on a dashboard in a pseudonymous way. Tests conducted on the device using a gold standard medical grade infusion pump and fluid densities within the 1.005 g/ml to 1.030 g/ml urine density range showed that droplets were satisfactorily captured in the range of flows from less than 1 ml/h to 500 ml/h, which are acceptable ranges for urinary flow. …”
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  6. 186
    “…RESULTS: We describe the function of Medical Record Search Engines (MRSE), which are able to retrieve all the available information regarding a patient who has been hospitalized in different hospitals and to provide this information to health professionals upon request. MRSEs use pseudonymized patient identities and thus never have access to the patient's identity. …”
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  7. 187
    “…Potentially, information security concerns can be addressed by techniques such as shielding, data encryption, and tag pseudonyms. Commitment by stakeholder groups to develop RFID tag data standards for anatomic pathology and biorepository laboratories could avoid or mitigate the “islands of data” dilemma presented by barcode usage where there are innumerable standards and a consequent paucity of hardware or software “plug and play” interoperability. …”
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  8. 188
    “…To protect the identity of the hospital and research participants pseudonyms are used in the article and the part of Ghana in which the study was conducted is not mentioned. …”
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  9. 189
    “…In addition, patient identifiers are pseudonymized so that health data from the same patient collected across various sources can still be linked without compromising the deidentification. …”
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  10. 190
    “…OBJECTIVES: As there were only regional studies in Hungary about the prevalence of multiple sclerosis (MS), we aimed to estimate its epidemiological features using data of Hungary’s single-payer health insurance system. METHODS: Pseudonymized database of claims reported by hospitals and outpatient services between 2004–2016 was analyzed and linked with an independent database of outpatient pharmacy refills between 2010–2016. …”
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    Online Artículo Texto
  11. 191
    “…Interviews were audio recorded and transcribed, pseudonymized and entered into NVivo (version 12, QSR International). …”
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    Online Artículo Texto
  12. 192
    “…ABSTRACT: (1) Background: Targeted (TT) and immune checkpoint inhibitor (ICI) therapies have become available in the routine care of metastatic melanoma in recent years. (2) Objective: We compared mortality in patients with metastatic melanoma and different systemic therapies. (3) Methods: A retrospective cohort study, based on pseudonymized health insurance data of about two million individuals from Saxony, Germany, was conducted for the years 2010 to 2020. …”
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  13. 193
    “…We retrospectively analyzed 120 nasopharyngeal pseudonymized samples, obtained for diagnosis, divided into groups (infected patients with a favorable outcome, asymptomatic, and deceased patients) and patients tested negative for SARS-CoV-2, by using Illumina-16S ribosomal ribonucleic acid (rRNA) sequencing and specific polymerase chain reaction (PCR) targeting pathogens. …”
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  14. 194
    “…Furthermore, nearly all (94.0%) participants were open to the idea of sharing anonymized or pseudonymized electronic health data of their patients with external parties for research purposes. …”
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  15. 195
    “…Since January 2022, it has been possible for participating hospitals to enter pseudonymized data into the DCIR. To date, 75 hospitals in Germany have contractually agreed to participate in the registry. …”
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  16. 196
    “…MATERIALS AND METHODS: This is a retrospective cohort study assessing 1440 pseudonymized survey questionnaires to evaluate the risks of premature birth with two study groups from the same medical practice, and a nationally recruited control group. …”
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  20. 200
    “…METHOD: For this qualitative study, we interviewed 20 women during preconception, pregnancy, or nursing to explore their views on an ethically responsible LHS for pregnant and breastfeeding women. The pseudonymized transcripts were analyzed thematically. …”
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