Gain certificate in analytics through webinars

September 9, 2020

Trevor StromeWATERLOO & HAMILTON, Ont. – The Data Analytics I: Operational Analytics for Quality & Performance Improvement certificate program will show executives, managers, analysts, and others how to leverage the power of the data within their healthcare organizations. The goal is to provide decision-makers with the knowledge and tools to immediately improve analytics effectiveness and ROI within your organization.

The sessions will cover how to synthesize data from source systems and combine it with proven Quality Improvement (QI) methodologies, well-defined quality and performance goals, and powerful analytical methods.

This 8 Session (13 Hours) certificate program is for anyone who is responsible for managing, developing, or using analytics within their organization, or is interested in being part of their organization’s analytics team.

Upon completion you will be awarded a McMaster University – NIHI Certificate of Attendance in Data Analytics 1: Operational Analytics for Quality and Performance Improvement. A certificate of attendance is a non-academic certificate acknowledging that the recipient has completed a minimum of 10 hours of education/training in the subject area.

Your instructor:
Trevor Strome (pictured), MSc, PMP
Manager, Digital Airport Solutions, Winnipeg Airports Authority; Assistant Professor, Department of Emergency Medicine, College of Medicine, Faculty of Health Sciences, University of Manitoba

Dates
8 Sessions, 13 Hours
3 Live Online & 5 Recorded
Live Online Sessions: Mondays, October 5, 19, November 2, 2020

Recordings
Each Recording is approximately 2 hours
Recording 1, 2, & 3 will be available beginning October 5
Recording 4 & 5 will be available beginning October 19

Live Online Sessions
Mondays, October 5, 19, November 2, 2020
12:00 – 1:00 PM ET

CLICK HERE TO REGISTER

Learning Objectives

  • Prepare organizations to gain maximum value from the data typically “locked” in source systems and/or departmental silos.
  • Demonstrate that analytics must be thought of as a “system” (with specific inputs and outputs) if real organizational transformation and return on investment is to be achieved.
  • Showcase how analytics tools and techniques can (and should!) be used in concert with established quality improvement methodologies.

For more information, please see http://www.nihi.ca/index.php?MenuItemID=574 or email us at info@nihi.ca.