Data Visualization Predictive Analytics Network and Clustering

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NLP Example: Coded 15 | © 2010 Humedica, Inc. All rights reserved. Source: NLP International
Principles of Secondary Health Data Analytics 16 Patient focus for all data activities | © 2010 Humedica, Inc. All rights reserved. All uses should benefit patients Minimal disclosure of data to meet need Never allow re-identification of patients Data uses must be transparent Overseen by honest brokers or stewards Everyone in the process is a data steward Data must be collected THROUGH the process of care, not in addition to it Data analytics for analysis of outcomes, value and comparative effectiveness must be the goal. This will require: New data architectures New expertise for experts in data visualization and predictive analytics New training for others in understanding the output of these efforts
Page 1 and 2: Achieving Value from Diverse Health
Page 3 and 4: Health Care Applications Requiring
Page 5 and 6: True Longitudinal Patient Records 4
Page 7 and 8: Functions of EHR Systems Jha, A. Us
Page 9 and 10: EHRs in US Hospitals 8 | © 2010 Hu
Page 11 and 12: Best for Everyone? 10 | © 2010 Hum
Page 13 and 14: What about Natural Language Process
Page 15: NLP Example, highlights 14 | © 201
Page 19 and 20: Health Data Integration Framework 1
Page 21 and 22: Key Performance Indicators for Clin
Page 23 and 24: 22 Identifying Patients for Acute M
Page 25 and 26: Real Time Operational Performance I
Page 27: 26 | © 2010 Humedica, Inc. All rig

Data Visualization Predictive Analytics Network and Clustering

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