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Overview

Data monitoring, from the highest level down to the patient level is critical to identifying trends, gaining insights, and communicating transparently with staff and stakeholders. Data monitoring approaches such as dashboarding are used to display data in a simple and intuitive way, allowing a snapshot of performance on selected measures to see changes or areas for improvement. Business intelligence systems such as population health management analytics allows for the monitoring of the health of a whole patient population, stratified by various characteristics, thereby supporting care planning, resource allocation, and training opportunities. Resources in this section include tools to begin dashboarding, considerations for taking the next step with population health management and guidance on how to navigate the many factors of any data monitoring approach.

Monitoring and Communicating with Data
Webinar: 42 CFR Part 2 Consent Requirements: Creating Electronic Consents

Webinar: 42 CFR Part 2 Consent Requirements: Creating Electronic Consents

Is your organization looking for a way to electronically manage patient consent that complies with 42 CFR Part 2?

This webinar provided the following:

  • A brief background and consent requirements related to 42 CFR Part 2
  • Examples in which SAMHSA’s online consent management application called Consent2Share meets the consent requirements electronically

Click here to view webinar FAQ

Patient-Centered Medical Home Recognition (PCMH)
Patient-Centered Medical Home Recognition (PCMH)

Patient-Centered Medical Home Recognition (PCMH)

The redesigned PCMH 2017 requirements focus on assessing a practice’s transformation into a medical home and specify goals for improvement. There is a new recognition requirement structure: concepts, competencies, and criteria.

Webinar: Why Data Governance is a Hot Topic for Health Care Orgs: pointB

Webinar: Why Data Governance is a Hot Topic for Health Care Orgs: pointB

Here’s a sad story. Healthcare organizations are woefully late to the data governance party. While companies in many industries have long been clear on the fundamental (and critical) goals of a data governance program, healthcare organizations are just starting to see the light. How can you enable better decision-making, reduce operational friction, protect the needs of data stakeholders, train management and staff to adopt common approaches to data issues, build standard, repeatable processes, reduce costs and increase effectiveness through coordination of efforts and ensure transparency of processes? Is all of that even possible? It is. With the proper data governance program.

Data governance is about building an organizational capability to get value from enterprise data.

Big Data, Big Problems, Big Solutions!
Big Data, Big Problems, Big Solutions!

Big Data, Big Problems, Big Solutions!

Register Here for this Free Webinar

The nonprofit sector produces a wealth of data that plays a fundamental role in the strategic and operational decision making and learning. Nevertheless, many organizations face major challenges with storing and integrating data produced in the field, limiting decision and learning capacity. Data warehousing and integration is an approach that could help fill this gap. However, it raises challenges in terms of responsible data management. This session will discuss the major conceptual, programmatic and technical considerations needed to implement responsible data principles and approaches, at different levels (field, region, global) and scenarios.

Please join Alvaro Cobo-Santillan, Senior Advisor MEAL/ICT at Catholic Relief Services (CRS); Jeff Lundberg, Senior Program Manager at CRS; Paul Perrin, Director and Associate Professor of the Practice at University of Notre Dame; and Gillian Kerr, President Emeritus at LogicalOutcomes Canada in a repeat of their popular session from this year’s MERL TECH DC 2017 Conference.

Key HITEQ Resources
Key HITEQ Resources

Key HITEQ Resources

This document highlights select tools and resources from the HITEQ Center and is intended to be shared with partners to introduce HITEQ's resources.

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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The Quadruple Aim
Quadruple Aim

A Conceptual Framework

Improving the U.S. health care system requires four aims: improving the experience of care, improving the health of populations, reducing per capita costs and improving care team well-being. HITEQ Center resources seek to provide content and direction aligned with the goals of the Quadruple Aim

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