This webinar series was hosted to support various roles who work with data in health centers to provide best practices and promote equity through data collection and analysis. Participants will leave with a better understanding of how to meaningfully use data to improve their health center.

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.

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.

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.

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. 

This brief discusses the importance of integrated data, and provides examples of how other health centers have integrated and utilized oral health, colon cancer screening data, and other data within primary care.

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.

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.

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.

In this session participants learned about the data privacy laws as they relate to digital health. Attendees had a better understanding about HIPAA, data privacy laws, telehealth regulations and more.

In this session, participants learned 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 learned how digital health strategy improves patient care and engagement and improves health outcomes for all.

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

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.

This session got participants acquainted with digital health strategy in providing comprehensive primary care. Attendees learned about utilizing digital tools in health centers and improving patient care.

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.

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

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.
 

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.

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.