| | August 20166UTLOOK Healthcare Tech CIOReview's circulation is audited and certified by BPA International (Audit Pending). Copyright © 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.AUGUST 1, 2016Mailing AddressValley Media Inc.44790 S. Grimmer Blvd Suite 202, Fremont, CA 94538T:510 230 0396, F:510-894-8405 August 1, 2016, volume 02 - 08 Published by ValleyMedia Inc. To subscribe to HealthcareTech OutlookVisit www.healthcaretechoutlook.com Managing EditorAlex D'souzaEditorial StaffSalesEllen Pearson Jade Ray Jem Elizabeth Supriya KumaraswamyVisualizerStephen ThomasHealthcare Analytics Special Caroline D'Souzacaroline@healthcaretechoutlook.com 510-230-0395UTLOOKHealthcare Tech UTLOOKHealthcare Tech EditorialAlex D'souzaManaging Editoreditor@healthcaretechoutlook.comData analytics competency in healthcare today goes beyond harnessing data for creating value or insights. It is helping healthcare organizations identify the key challenges to improve care coordination and bring better outcomes for setting their future vision. According to IDC, healthcare is one of the fast-growth segments in the data analytics market, which is expected to touch $43 billion by 2019. As the industry is taking a more "value-based" business approach, building analytics competency has become indispensible to accelerate the healthcare quality and drive clinical and operational developments. This competency is achieved by creating more personalized strategies and using digitization as a tool. Technologies like dashboards, business and clinical intelligence, and revenue cycle management intelligence will complement these efforts by helping enterprises tap into unstructured data to derive value for efficient care continuum. For instance, analytics-driven Clinical Decision Support Systems (CDSS) are helping physicians conduct proper diagnoses and ease decision-making process. From simple software systems to complex knowledge-based and artificial intelligence systems, CDSS helps in data mining, modeling, and predictive analytics. Further, healthcare providers are using predictive analytics techniques to analyze data over time, leading to more refined outcomes and corrective actions. Combining the power of predictive analytics and the rising amount of health data from wearables, smart medical devices and other IoT systems, analysts can understand the future needs, anticipate demands, and identify risks. At this interesting juncture, it is critical for the healthcare providers to strategically align their investments in data analytics with their business goals. This edition of Healthcare Tech Outlook focuses on healthcare analytics solution providers to help you identify the right strategies and solutions that meet the analytics needs of the digital healthcare era. We hope this information will take you from a data-driven healthcare business to an insight-driven care continuum. From Insights to Action
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