Categories
Photo credit: Anoto Group
Electronic health records, population health management and public health
Shawn Eastridge

In the midst of a formidable culture change in the American health care industry, information use, as opposed to information technology, lies at the center. Health care organizations must successfully navigate their transition to a value-based care model while remaining financially viable in a fee-for-service landscape, strive for high patient satisfaction survey scores, and – oh yeah! – continue to provide patient care. But where does public health fit into all of this? And, more importantly, what’s the benefit?

In a not-so-distant former life, I was an electronic health record (EHR) optimization specialist for a large hospital system. For context, this optimization team was part of a larger implementation team. Before going live on this new system, we spent 18 months validating, building and testing with each type of end-user, from clinicians to call-center staff to billing specialists. While well prepared, we were also realistic. Change is hard. We expected problems.

This strategy was all in an effort to help providers quickly rebound from the productivity decrease that follows rolling out a new system. Providers grew more confident over time and there were early high-performers who learned to use the EHR as a tool for prompting dialogue with patients, gave constructive feedback on ways to improve clinical decision support, and were all around super-users for the rest of their departments. These high-performers started to ask, “What else can the EHR do for me?” and “What else can it do for my patients?”

The next big optimization project was to kick-off a population health management (PHM) implementation that would start to answer some of those questions by giving providers a more holistic view of their entire patient population and comparing their own care delivery against their peers. PHM solutions integrate or exchange data with EHR systems and additional data sources to generate aggregate information on patients groups. With this aggregate information, PHM solutions then alert providers to care gaps which in turn improves clinical outcomes. These solutions and the population analytic capacity they provide can help increase a single clinic’s or hospital’s productivity, but they have the potential to do even more.

These data can be used to improve health outcomes for the broader community. Public health professionals can use these data to make timely and informed choices to better allocate resources, drive policies decisions, and prevent disease. The long-term effects of arming the public health workforce with the best possible information will include reducing health care costs and allowing for more services to support overall population health.

PHII is contributing to this effort today through the Exploring Analytic Solutions project, which is funded by the CDC’s National Center for Chronic Disease Prevention and Health Promotion. This project is currently assessing PHM solutions and will provide guidance to clinical practices and public health agencies who hope to use these systems in their own work. This project will help shed light on the capabilities of PHM solutions, improve understanding of how these solutions can meet clinical and public health needs, and result in recommendations for improving data flow between clinical and public health entities. We hope that this project guides health care practices as they consider adopting population health analysis tools and collaborating with public health agencies to improve the conditions in which their patients reside. Our findings will be available on phii.org this summer.

Goals of the Exploring Analytic Solutions project:

  • Explore capabilities of population health management (PHM) solutions.
  • Improve understanding of how PHM solutions meet clinical and public health needs.
  • Produce recommendations for improving data folow between clinical and public health entities.
  • Provide a guide for health care practices to collaborate with health agencies on improving population health.
The long-term effects of arming the public health workforce with the best possible information will include reducing health care costs and allowing for more services to support overall population health.
Reflecting on 2025: the great reset in public health
PHII Director Vivian Singletary shares her reflections on the past year and looks forward to what 2026 holds.
Using generative AI to automate pediatric audiology diagnoses
Our audiology team shares about a system built to leverage generative artificial intelligence (AI) to automate the classification of pediatric audiology reports.
The importance of governance in data modernization
Senior informatics analyst Sarah Shaw reflects on last year's Data Modernization Boot Camp and how it spawned their online Data Governance course.
Reflections on 2024 and looking forward to the new year
PHII Director Vivian Singletary celebrates our 2024 public health wins and gets ready for the opportunities and challenges in the new year.
How Fairfax County’s health department tackled data modernization challenges
In this video, Fairfax County Health Department shared how they’ve tackled various data modernization challenges.
Communication plays a key role in successful data modernization planning
Shawn Eastridge provides examples of public health jurisdictions emphasizing how communication is key to a successful data modernization plan.
A use case in IIS considerations for DMI, from Michigan
The Michigan Care Improvement Registry (MCIR) team offers an example of considerations immunization information system (IIS) teams may have when working to align with data modernization goals.
Task Force at 40: How our work and culture continue to shape each other
Task Force employees celebrated The Task Force's 40th anniversary on March 14, 2024.
Tonya Duhart Miller, Associate Director of Business Operations at PHII, celebrates International Women’s Month
As March marks Women’s History Month and International Women’s Day (March 8), Task Force women in leadership reflect on their leadership philosophy, who inspires them, and what keeps them motivated to work in public health.
Stories chronicle success in improving child and adolescent mental health
Lina Saintus highlights successful ways public health organizations have used data to measure and improve child and adolescent mental health (CAMH).