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.

Provider satisfaction is of critical importance for health centers to promote safety and workforce stability. A 2013 survey found that dissatisfied physicians were 2-3 times more likely to leave medical practice than their more satisfied colleagues. This may be unsurprising given that another recent study found that physicians spend almost half of their day on the EHR and desk work. Even during the patient visit, 37 percent of the time in the exam room is spent on these tasks. The increase in clerical and documentation burden related to EHR adoption was cited as a contributor to provider dissatisfaction. This resource puts forth several options for assessing provider satisfaction or burden, with a focus on health IT. Results of recent research as to the challenges that providers experience are outlined, and then several possible health IT interventions are profiled.

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.

This resource is intended to aid providers and health IT implementers in identifying a leadership team for a successful EHR implementation.  Selecting the right people for an EHR implementation team is a critical step in a successful implementation. In general, members of the team should be enthusiastic, well-respected and forward thinking. Team members should bring differing perspectives on how the EHR will be used and provide a wide array of skills and knowledge. The size of a practice will determine the size of the implementation team. For smaller practices, one person may be managing several of the areas of responsibility included. 

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.

Health centers are interested in using social determinants data to manage and improve the health of their patient population and community, and are at different places on the population health management (PHM) and social determinants of health (SDH) adoption curve. The Protocol for Responding to and Assessing Patients’ Assets, Risks, and Experiences (PRAPARE) is a national effort to help health centers and other providers collect the data needed to better understand and act on their patients’ social determinants of health. In this webinar, the Colorado Community Managed Care Network (CCMCN), a Health Center Controlled Network (HCCN) highlighted a Tableau data dashboard that they have developed to help their health centers make decisions on population health management. They discussed the rationale for developing the tool, challenges and facilitators to integration, and how their health centers benefit from data sharing across Tableau.

To ensure successful and smooth implementation or migration of electronic health record (EHR) systems, it is critical for health center staff to carefully plan the process. This timeline document highlights key events and milestones that should take place in the months before, and immediately following, the EHR go-live date.

The first of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools. 

The third of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools. 

The second of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools.

During the 4^th quarter (October to December) of 2022, there are two major health information technology (HIT) requirement changes, with potential for significant implications to health centers. Read this FAQ to find out how your health center can respond.

Fast Healthcare Interoperability Resources (FHIR) is an HL7® standard for electronic healthcare data exchange. This next generation exchange architecture is advancing interoperability in healthcare. FHIR provides a standard way to express and share information across health centers, providers, and related organizations independent of how local EHRs display or store data. For UDS+ and other information exchange needs, all health centers, PCAs, and HCCNs will want to be familiar with the basics of the HL7 FHIR standard. In this session we will discuss what FHIR is, what it basically does, how it impacts your EHR, and what it might mean to your health center and patients.

Health centers are having to dramatically change approaches to patient care as the COVID-19 public health emergency keeps patients at home and ramps up the demands of telehealth and other remote care modalities. This resource is a quick start guide for health centers making this change. 

Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series presented health center case examples that explore the privacy and data sharing considerations of EHR documentation of sensitive patient information, such as social history and social risk, and encourage participants to discuss the implications for health centers and their patients. 

Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series presented health center case examples that explored the privacy and data sharing considerations of EHR documentation of sensitive patient information, such as social history and social risk, and encouraged participants to discuss the implications for health centers and their patients. 

Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series presented health center case examples that explored the privacy and data sharing considerations of EHR documentation of sensitive patient information, such as social history and social risk, and encouraged participants to discuss the implications for health centers and their patients. 

Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series presented health center case examples that explored the privacy and data sharing considerations of EHR documentation of sensitive patient information, such as social history and social risk, and encouraged participants to discuss the implications for health centers and their patients. 

Are you capturing information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series will present health center case examples that explore the privacy and data sharing considerations of EHR documentation of sensitive patient information, such as social history and social risk, and encourage participants to discuss the implications for health centers and their patients. 

The HITEQ Center has a number of EHR transition tools that may be helpful for health centers that are considering a transition from one EHR to another. This resource brings together all these tools for easy access.

This resource provides guidance to health centers for implementing FHIR in compliance with the Information Blocking Rule.  

HITEQ created this template to assist HCCNs, PCAs, or other organizations in conducting health IT assessments of multiple health centers. 

This toolkit provides a framework for Health Centers to evaluate compliance and security concerns as they purchase, adopt, and implement technology solutions.

Health centers are increasingly interested in embedding oral Pre-Exposure Prophylaxis (PrEP) programs into primary care, which calls for the embedding of PrEP care processes into electronic health record (EHR) systems. Health centers have had success with automation in HIV testing, and are looking to apply automated algorithms, order sets, and templates to the development of PrEP programs. This resource outlines EHR and health information technology (IT) configurations and tools that support PrEP care processes and provides examples of successful implementation from health centers and primary care settings.