scholarly journals Real World Data en la Sanidad Española

2018 ◽  
Vol 3 (1) ◽  
pp. 795
Author(s):  
Isabel De la Torre Díez ◽  
Guillermo Fernández Rodríguez ◽  
Gema Castillo ◽  
Aranzazu Berbey Alvarez

In recent years, thanks to the progress of electronics and computing, it is possible to process a large volume of clinical data. As a result of this scenario, real world data (RWD) are gaining enormous relevance. RWD are the data, whose origin is the usual clinical practice, used to make medical decisions about drugs or medical practice. This research is aimed to study the current situation of RWD in Spain. To achieve this objective, we have assessed the data sources on which these are fed. We have also analyzed the main publications based on RWD. Our findings are: firstly, both records and databases as well as medical histories have a high level of computerization and have also a great deal of information to be used for research; and secondly, the scientific studies carried out are of a great quality, but society is not aware of the importance RWD have and there is discoordination between the Autonomies and the Government. Keywords: RWD, clinical data, medical decisions, practical decisions, medical histories

2018 ◽  
Vol 21 ◽  
pp. S475
Author(s):  
S. Mokiou ◽  
Z. Hakimi ◽  
J. Wang-Silvanto ◽  
S. Horsburgh ◽  
S. Chadda

2015 ◽  
Author(s):  
Martin G. Skjjveland ◽  
Martin Giese ◽  
Dag Hovland ◽  
Espen H. Lian ◽  
Arild Waaler

2015 ◽  
Vol 18 (3) ◽  
pp. A20
Author(s):  
M. Gavaghan ◽  
S. Armstrong ◽  
C. Taggart ◽  
S. Garfield

2020 ◽  
Author(s):  
Zhaoyi Chen ◽  
Hansi Zhang ◽  
Yi Guo ◽  
Thomas J George ◽  
Mattia Prosperi ◽  
...  

AbstractClinical trials are essential but often have high financial costs and long execution time. Trial simulation using real world data (RWD) could potentially provide insights on a treatment’s efficacy and safety before running a large-scale trial. In this work, we explored the feasibility of using RWD from a large clinical data research network to simulate a randomized controlled trial of Alzheimer’s disease considering two different scenarios: an one-arm simulation of the standard-of-care control arm; and a two-arm simulation comparing treatment safety between the intervention and control arms with proper patient matching algorithms. We followed original trial’s design and addressed some key questions, including how to translate trial criteria to database queries and establish measures of safety (i.e., serious adverse events) from RWD. Our simulation generated results comparable to the original trial, but also exposed gaps in both trial simulation methodology and the generalizability issue of clinical trials.


Author(s):  
Lynne T. Penberthy ◽  
Donna R. Rivera ◽  
Jennifer L. Lund ◽  
Melissa A. Bruno ◽  
Anne‐Marie Meyer

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