How to implement big data

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Implementing Big Data and How to Do It

Health-care providers face significant obstacles in implementing analytic tools, but if the suggestions in a new white paper work, gloEMR could help.

The paper, entitled “Transforming Health Care Through Big Data,” is meant to offer providers some models for “innovative uses of data assets that can enable them to reduce costs, improve quality, and provide more accessible care,” according to its authors.

Published by the Institute for Health Technology Transformation (iHT2), it draws on the expertise of leaders from Kaiser Permanente, IBM, Sharp Community Medical Group, Newton Medical Center and University of Manitoba to show how health-care providers can, “make better, evidence-based decisions.”

Nine strategies are offered, including using tools such as dashboards for clinicians to visualize incoming data. As big data moves toward real-time processing, often at the point of care, the white paper reads, “organizations should strive to update processes and develop capabilities to enable tool use, and focus on real- or near-real time clinical decision support.”

gloEMR — gloStream’s flagship EMR — is widely known for its user-friendly dashboard. Through the gloEMR dashboard, doctors and staff can track a patient’s location from admission to discharge, access and share daily schedules and calendars, order labs, refill prescriptions, and more. Day, week and month views of schedules and calendars are available in a familiar format. And, layout schemes can be customized for better visibility.