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HITEQ Training Request Form

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Workshop Descriptions

Improving care delivery is a business and mission imperative for health centers, and the HITEQ Center offers a growing collection of tools and services to support this journey.

Using the web-based "Guide for Improving Care Processes and Outcomes in FQHCs," the HITEQ Center is spreading this foundational resource among health centers. This training session introduces health centers and their partners to the Guide's proven approaches, worksheets and other health IT enabled QI tools.

This workshop is best suited for clinicians, administrators, data managers, and quality-related staff, with a minimum of 15 attendees recommended. The session can range from 1.5 hours to a half day training, as desired.

Disparities in clinical quality-related data derived from EHR reports compared to sampling charts can lead to diminished quality outcomes, mistrust of the EHR system, and misdirected efforts at quality improvement. This session will address these data disparities and what can be done about them.

This workshop is intended for clinicians, administrators, data managers, and quality-related staff, with a minimum of 15 attendees recommended. The session can range from 1.5 hours to a half day training, as desired.

With the ever-increasing focus on high value care, including value-based payment and quality incentives, aggregating patient health information into data that can be closely monitored and acted upon, as needed, is of critical importance.

This session will introduce data monitoring concepts and its importance. Participants will explore key aspects of data monitoring such as data validation, transparency, benchmarking, and the resources required. The session will share case studies and discuss best practices and lessons learned from organizations that are currently engaging in various types of data monitoring. Some case studies will feature organizations using population health management systems and other software solutions. Participants will also have the opportunity to discuss data monitoring topics, as desired.

This session is recommended for decision makers, administrators, data managers, and quality-related staff with a minimum of 15 attendees recommended. This session can range from a 1.5 to 3 hours, as desired.