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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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Accessing Data for QI

As adoption of EHRs has increased, so have the concerns about ability to access the data needed to drill down into quality improvement efforts or even reporting requirements. Depending on the type of system being used, data may be cloud based, on a remote server, or on a local server. Further, data may be accessible through preprogrammed, ad hoc, or custom reports, but there may be greater challenges to accessing raw data or data that can be analyzed for quality improvement purposes. Resources in this section address these challenges and provide actionable information for accessing the data needed.

Accessing your Data
Clinical Data Elements for UDS eCQMs and their Lookback Timeframes
Clinical Data Elements for UDS eCQMs and their Lookback Timeframes

Clinical Data Elements for UDS eCQMs and their Lookback Timeframes

Each electronic clinical quality measure (eCQM) is composed of data elements in the EHR or health IT system that are evaluated according to the measure specifications.
It is important to identify what data elements need to be transitioned to any new EHR for clinical quality measure continuity and accuracy. This resource identifies clinical data elements in eCQMs that should be considered when transitioning EHRs. These data elements are used in reporting or calculating eCQMs, so their availability or lack thereof in any new EHR system will impact reporting accuracy.

Performance Measure Data Definition Worksheet
Performance Measure Data Definition Worksheet

Performance Measure Data Definition Worksheet

The Performance Measure Data Definition Worksheet can be used during the Quality Improvement (QI) process to assess the alignment of your health center’s workflows and documentation and your EHR vendor’s reporting logic processes.
The Office of the National Coordinator for Health Information Technology (ONC) EHR Certification criteria requires EHR vendors to use eCQM (electronic Clinical Quality Measure) specifications to define measures. Therefore, reported data for a measure should be consistent regardless of EHR vendor. In practice, however, it is important to confirm that your EHR vendor’s reporting logic is consistent with your health center’s definition and workflows, and vice versa, as outlined in this worksheet.

Addressing Childhood Obesity in Health Centers
Addressing Childhood Obesity in Health Centers

Addressing Childhood Obesity in Health Centers

The HITEQ Center interviewed ten health centers and health center partners to identify solutions and promising practices for addressing childhood obesity across the health center program. The focus included how health centers are meeting the Uniform Data System (UDS) measure and how they are taking further steps to identify and intervene with those at risk of obesity leveraging health information technology, electronic health records, and the data they have. Seven key areas are identified in the resulting issue brief.

Data Driven Programming to Maximize Care for Residents of Public Housing
Data Driven Programming to Maximize Care for Residents of Public Housing

Data Driven Programming to Maximize Care for Residents of Public Housing

This presentation walks public housing-focused health centers, such as those with public housing primary care grants, through available UDS reports and tools that can be used for informing services and planning. A number of specific examples are shown of how information from the UDS can be used for improvement. Other information provided serves as a reference for reporting of public housing on Table 4 of the UDS. 

Utilizing and Integrating Behavioral Health Data into a Health Center’s Primary Care Services
Utilizing and Integrating Behavioral Health Data into a Health Center’s Primary Care Services

Utilizing and Integrating Behavioral Health Data into a Health Center’s Primary Care Services

As more health centers seek to break down siloes that can fragment patient care, collaboration with or integration of behavioral health care has been strengthened, although data integration remains difficult and privacy remains paramount. This brief discusses some of the approaches, successes, and challenges in integrating behavioral health data within primary care services.

Data Dictionary Tool and Template
Data Dictionary Tool and Template

Data Dictionary Tool and Template

This Data Dictionary provides a single point of reference for data mapping and interpretation for all of the indicators in your quality reports. Organization of the data definitions in this tool provides a reference for the team of all such definitions that impact reports and alerts in the analytics application.

EHR Optimization Guides
EHR Optimization Guides

EHR Optimization Guides

Million Hearts® EHR Optimization Guides help healthcare professionals leverage their EHR systems to excel in the ABCS. Through helpful step by step instructions, the Guides illustrate how providers can use their EHR products to find, use, and improve data on the Million Hearts® clinical quality measures. Ultimately, these guides facilitate the identification of at-risk patients, helping clinical teams across the country protect their patients from heart attacks, strokes, and other cardiovascular events.

Accessing your Data
Accessing your Data

Accessing your Data

Intended to assist in ensuring full use and understanding of capabilities of current system and assessing the need for additional population health management or data integration tools, this checklist describes the steps health center quality improvement and IT staff can take to ensure they are maximizing the population health management and other capacity of current systems. It Included are questions around the system itself, report generation, training, and resulting data, as well as considerations before and after you contact your vendor.

Digital Health Strategy to Enable Comprehensive Care: The Importance of Digital Health in Health Centers
Digital Health Strategy to Enable Comprehensive Care: The Importance of Digital Health in Health Centers

Digital Health Strategy to Enable Comprehensive Care: The Importance of Digital Health in Health Centers

In this session, participants will learn why digital health strategy is essential for health centers to remain competitive, meet consumer and patient demands and make care more accessible for all patients. Attendees will learn how digital health strategy improves patient care and engagement and improves health outcomes for all.

42 CFR Part 2 Final Rule – What You Need to Know
42 CFR Part 2 Final Rule – What You Need to Know

42 CFR Part 2 Final Rule – What You Need to Know

During this webinar, Focus PHI will outline recent changes to Part 2, the federal law that protects the confidentiality of substance use disorder (SUD) treatment records, and apply learning to common scenarios through case studies.

Clinical Quality Measures 101: Applying This to Practice
Clinical Quality Measures 101: Applying This to Practice

Clinical Quality Measures 101: Applying This to Practice

This final session will teach participants how to utilize process mapping to navigate clinical quality programs. This session will cover how to look for areas of improvement within your program.

Clinical Quality Measures 101: Assessing Data Alignment
Clinical Quality Measures 101: Assessing Data Alignment

Clinical Quality Measures 101: Assessing Data Alignment

This session taught participants about how to align data with clinical quality measures. Attendees learned how to connect CQM requirements necessary for clinical practice through quality improvement efforts.

Clinical Quality Measures 101: Clinical Quality Programs and Clinical Quality Measures
Clinical Quality Measures 101: Clinical Quality Programs and Clinical Quality Measures

Clinical Quality Measures 101: Clinical Quality Programs and Clinical Quality Measures

In this session, participants learned about describing one or more quality reporting requirements or programs. Additionally, they will learn how to access measure specifications and value sets, and be able to assess data alignment in the health center setting.

AI Fundamentals and Applications in Primary Care Live Webinar
AI Fundamentals and Applications in Primary Care Live Webinar

AI Fundamentals and Applications in Primary Care Live Webinar

 

The Weitzman Institute and the Moses/Weitzman Health System are pleased to present the latest installment of our series of informative discussions with an exclusive panel of global experts driving the development of Artificial Intelligence (AI). April Joy Damian, PhD, MSc, CHPM, PMP, Vice President and Director of the Weitzman Institute will moderate this latest discussion, "AI Fundamentals and Applications in Primary Care," on Wednesday, October 26 at 1 pm Eastern| 10 am Pacific.  

This webinar will bring together industry AI leaders with an evidence-based applied perspective on using AI in primary care to:

  • Understand AI history, definitions, methodology, benefits, and healthcare use cases
  • Explore the most common and validated use cases in primary care
  • Examine implications of AI in promoting health equity and improving healthcare access and outcomes
Enabling Patient Access to Health Data for Actionable Results
Enabling Patient Access to Health Data for Actionable Results

Enabling Patient Access to Health Data for Actionable Results

Recent Department of Health and Human Services (HHS) policy is bringing patients unprecedented access to their health information. Join the Office of the National Coordinator for Health Information Technology (ONC) and Centers for Medicare and Medicaid Services (CMS) in September for an event focused on patient access to health data. The day will bring together patients, providers, payers, and health IT developers to discuss how HHS policies are working in practice and how to maximize the impact of these policies. The event will also highlight educational tools and resources, such as patient-facing apps that enable the availability of patient information and make that health information easier to understand.

Come to the ONC and CMS patient access event to hear more about…

Patients’ experiences accessing their data, including the benefits and challenges they faced along this journey. How the next generation of apps are connecting across new health information sources to bring together patients’ data and preferred tools to act on that data. Clinicians who are at the forefront of helping patients access and understand their data, recognizing patient preferences and privacy concerns. Innovative developers demonstrating how they are making patients’ data actionable, and the implementation challenges they face as they connect sources across the care continuum Health care payers’ their successes and challenges with making data available to patients. Don't miss this opportunity to learn about the latest developments in patient data access and how you can be a part of the path forward.

Registration details to follow soon! Until then, you can find valuable information and resources about the patient’s right to their data on our website. If you would be interested in sharing a patient experience with accessing and using patient data, please share with us at https://www.healthit.gov/feedback.
 

Learning to Love Your Data: Health Center Data for Everyone - Session 3 - Data Governance and Literacy
Learning to Love Your Data: Health Center Data for Everyone - Session 3 - Data Governance and Literacy

Learning to Love Your Data: Health Center Data for Everyone - Session 3 - Data Governance and Literacy

So, you’re not a statistician? Not a data scientist either? Great! This webinar series is for the data creators, data generators, data users, data reviewers, and others who work with their health center data each day. If you’re a data lover and you know the information you have in your health center has an important story to tell, this series will provide you with the tools and techniques to create and share insights that will drive genuine change in your health center. Fostering a data-driven culture links directly to improvements in patient care, staff and provider satisfaction, and business imperatives, allowing us to make meaning out of our daily data demands.

Session 3 -  Data Governance and Literacy
Good data is hard to come by-- particularly without a solid foundation of data governance and data literacy within your health center. Good data governance supports improved data quality, increased data literacy, and critically, maximized data use. Join this session to understand how to get a handle on what can seem like an overwhelming amount of data and harness it for improved care and strategic decision making.

 

Measuring Telehealth Success: You Can't Achieve it if You Can't Measure It
Measuring Telehealth Success: You Can't Achieve it if You Can't Measure It

Measuring Telehealth Success: You Can't Achieve it if You Can't Measure It

More than a year into the Covid-19 pandemic, it is now obvious that telehealth — in the form of a hybrid care delivery model that blends virtual and in-person care — is not a fad, but a healthcare delivery option that is here to stay. Healthcare leaders are seeking to optimize their organization's telehealth services for high performance and long-term sustainability. The problem is that most leaders neither know how well (or how bad) their telehealth services are performing, nor what true success can or should look like.   Telehealth, when designed and implemented correctly, will engage patients to achieve positive outcomes, delight physicians, and contribute to organizational strategic objectives, including sustainable financial success.  In this presentation, Christian Milaster of Ingenium Digital Health Advisors leads viewers through a series of pragmatic concepts on how to set an organization’s telehealth success targets, what and how to measure telehealth performance, the Physician Bill of Telehealth Rights, and how to leverage telehealth to achieve strategic success. This presentation is the second session of a two-part series. The first session focused on a telehealth maturity model and is available here.

Acknowledgements

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