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Best Practice Database
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The last decade has seen an explosion in the availability of data that can deliver valuable insights for the pharmaceutical sector– from Electronic Medical Records and clinical trial data to medical claims and patient behavior data. All these information types are part of the large and complex data sets that make up what’s called Big Data.
The pharma industry recognizes the huge potential that Big Data holds for providing insights that could have a major impact on clinical programs as well as commercial activities. Among the myriad challenges facing pharma as the sector strives to develop Big Data capabilities are where the Big Data team or function should sit in an organization, what governance system or policies should be in place and what type of organizations are best to partner with on projects. Best Practices, LLC undertook this study to probe these questions and current trends in the pharmaceutical sector around Big Data and the issues of structure, governance and partnerships.
Pharmaceutical; Health Care; Biotech; Chemical; Medical Device; Manufacturing; Consumer Products; Diagnostic; Biopharmaceutical; Clinical Research; Laboratories
Merck; Merck Serono; Novartis; Boehringer Ingelheim; Genentech; Teva Pharmaceutical Industries Ltd; Pfizer; Baxter Healthcare; GlaxoSmithKline ; Bayer; Gilead Sciences; Janssen; Lundbeck; Sanofi; Esteve; Daiichi Sankyo; Purdue Pharma; AstraZeneca