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Data Analytics Essentials

Data Analytics Essentials for Today's Healthcare Organization

February 18 & 25; March 3 & 10, 2016
12:00 - 1:30 PM ET 
Live, interactive, online sessions using Webex

Worm Rate Deadline: Dec. 18/15; Early-Bird Rate Deadline: Jan. 22/16
Registration

Instructor - Trevor Strome - Healthcare Analytics, Business Intelligence, and Quality Improvement Specialist

Healthcare analytics is the system of tools, techniques, and people required to consistently and reliably generate accurate, validated, and trustworthy business and clinical insight. This series will focus on providing participants with the essential knowledge required to better utilize healthcare data and analytics for informing administrative and clinical decision-making. In the sessions, participants will learn what healthcare analytics is, and how analytics tools and techniques can be leveraged to improve healthcare quality and performance improvement initiatives.

The four sessions of the series are:

  1. Introduction to Healthcare Analytics
  2. Numeric and Data Literacy
  3. Quality and Performance Improvement with Analytics
  4. Advanced Analytics (Machine Learning, Simulation, Visualization, etc..)

Learning Objectives

  • Learning how analytics can enable a more efficient, more effective, less expensive, and safer healthcare system.
  • Recognizing the role and value of different analytical tools and approaches (ranging from spreadsheets and dashboards to advanced tools such as simulation and machine learning).
  • Understanding how big data principles (volume, velocity, and variety) are changing how data is analyzed and used in healthcare clinical and administrative decision-making.
  • Choosing the optimal display approach for visualizing healthcare data to most appropriately and accurately communicate the results of an analysis or insight to the intended audience.

Who Should Attend

  • Executives and professionals involved in/interested in overseeing, developing, understanding, managing and integrating information systems in organizations:​
    • Health Care: Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Information Officers (CIOs), Performance Managers, Directors/Managers of Clinical Informatics/IT/Data, Health Systems Managers, Decision Support Staff, Operations Staff.
    • Government: Policy Analysts, Data Quality Analysts.
    • Analytics Software & Service Providers: Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Information Officers (CIOs), Consultants, Business Information Architects, Business Development Directors/Managers, Data Analysts, Program Officers, Project Officers.
  • Professionals seeking an understanding of healthcare analytics.
  • Students interested in a career in healthcare analytics.
  • Quality improvement experts.
  • Information technology professionals.

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