6 TECH OUTLOOKJune 2016Copyright © 2016 ValleyMedia Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.JUNE - 2016Mailing AddressValleyMedia Inc.44790 S. Grimmer Blvd Suite 202, Fremont, CA 94538T:510 230 0396, F:510-894-8405 JUNE - 2016, Vol 02 - 06 Published by ValleyMedia Inc. To subscribe to Pharma Tech OutlookVisit www.pharmatechoutlook.com Editor-in-ChiefStacey SmithEditorial StaffSalesVisualizerStephen ThomasSukirti AgnihotriAaron PierceAlex D'SouzaJem ElizabethSandeepa Majumdar Sarah FernandesVivi MurrayClinical Data Management SpecialLouis Fernandes louis@pharmatechoutlook.comEditorialStacey Smith Editor-in-ChiefIn today's data-driven era, sophisticated technology tools are bringing data and people together to harness maximum value out of every clinical trial. From inception to completion of a trial life cycle, data managers are implementing Clinical Data Management (CDM) software tools to gain accurate and real-time research data. It makes searching and analysis easier, while collaborating various stakeholders across clinical processes. CDM tools and the integrated technologies are boosting transparency and increasing real-time visibility into clinical trials for the managers. As drug developers are bound to ensure that the data delivered is internally consistent and compliant, today's CDM systems have built-in compliance with regulatory capabilities to quicken drug development and enhance high-quality data retrieval. For multi-centric trials, sophisticated CDM systems help investigators provide accurate subject data and adequate process knowledge that maintain the quality standards of CDM processes.Additionally, with centralized systems, drug developers can easily automate data management and utilize structured data. With an optimized view of subject trial data, the systems reduce trial study time and combat risks in real-time. To further enhance decision making and share data insights across trials, researchers are adopting cloud, analytics, IoT technologies. Today, apart from advanced CDM tools developed by big players like Oracle, MedNet, and OpenText, pharmaceutical firms are largely implementing open source tools, such as OpenClinica, openCDMS, TrialDB, and PhOSCo to meet the ever-growing needs of clinical research studies. As CDM is becoming a technologically-charged entity of clinical trials, there are scores of solution providers in the market, helping companies with the much-needed expertise to leverage CDM tools. On that note, we bring to you the top 10 CDM solution providers. We hope this information will help you understand and streamline your clinical trial data and gain maximum insight. The Strength of Data TECH OUTLOOKTECH OUTLOOK
< Page 5 | Page 7 >