2019 Conference Schedule

Wednesday, December 04, 2019

1st Afternoon Mini Sessions

Using Program Data to Drive Quality Improvement

Date: 12/04/2019 1:30-3:05 p.m.
History: New
Experience: All (All levels of experience)
Advanced Preparation: None
Field of Study: Specialized Knowledge
Applicable Audience: Board Member
CEO/Executive Director
CFO/Finance Director
CSBG/Org Standard
HS/EHS Director/Manager
Tracks:
Type: Mini
Level: Basic
Prerequisites: None
CPE Credits: 1.5
Trainers:
Rick Mockler
Principal of Early Intel
Learning Objectives:
1. Participants will discuss the Performance Standard requirements around quality improvement and how they differ from traditional expectations around compliance and quality assurance.
2. Participants will discuss the organizational requirements for continuous quality improvement, including the role of leadership and organizational culture around data use and inquiry.
3. Participants will explore improvement science strategies for engaging their staff around issue diagnosis, systems analysis and solution testing.
Session Description:
The Head Start Performance Standards raise the bar for data and direct programs to implement "continuous quality improvement." Programs are being asked to move from traditional compliance, by using their data in new ways.

This session will draw on the field of improvement science, a discipline that helps organization improve through effective inquiry and strategic use of often overlooked program data. It also looks at strategies for helping the most vulnerable and at-risk children and families, who might otherwise be overlooked.

Sometime the biggest challenge is knowing where to start: the technical, human and organizational demands can be daunting. In this session, we will examine the pathway for programs to build their data analysis and advance quality improvement. Participants will leave with a clearer picture of how to advance their program's analytic capacity, including the organizational leadership they will need to provide to help move staff towards a proactive relationship with data and a culture of inquiry.