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Overview

Validating data from Health IT systems is the cornerstone of effective Health IT Enabled QI. Ensuring that Health IT-generated reports and data reflect an accurate picture of the care and outcomes of your population ensures that data is actionable for quality improvement, monitoring as well as many other purposes. This validation must be ongoing as system , provider, workflow, and other changes, can all impact accuracy of data. This section provides worksheets, guides, and tips for validating data.

Data Accuracy Resources
Event date: 9/27/2022 2:00 PM - 3:00 PM Export event
Health Center Remote Patient Monitoring and Digital Health Session 2: Selecting the Solution
Jodie Albert

Health Center Remote Patient Monitoring and Digital Health Session 2: Selecting the Solution

HITEQ Learning Collaborative Series

Health centers are interested in implementing remote patient monitoring (RPM), but are struggling to do so efficiently and completely because of policy, social, and technology barriers combined with staffing and time pressure. To support health centers in the strategic implementation of RPM, the HITEQ Center is launching a free learning collaborative -- Health Center Remote Patient Monitoring and Digital Health.  This learning collaborative will provide participating health centers a series of four structured virtual learning sessions. 


During the series participants will engage with subject matter experts and their colleagues in peer-to-peer learning and discussion. Topics will include: defining the problem that RPM could address; determining the appropriate RPM technology solution; set-up and implementation of RPM technology and processes within an organization; and evaluation, sustainability and scaling RPM to ensure efficiency and value. Participants will gain information on key considerations for each of these components of implementation of RPM.


Session 2: Selecting the Solution
This session focused on key considerations when selecting the RPM solution, including buy-in, tools, integration into the EHR, and data to inform evaluation of the program.

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Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.

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