{"id":89857,"date":"2026-07-29T09:46:30","date_gmt":"2026-07-29T09:46:30","guid":{"rendered":"https:\/\/imatsolutions.com\/?p=89857"},"modified":"2026-07-29T09:46:30","modified_gmt":"2026-07-29T09:46:30","slug":"qa-rural-health-transformation-starts-with-trusted-data","status":"publish","type":"post","link":"https:\/\/imatsolutions.com\/index.php\/2026\/07\/qa-rural-health-transformation-starts-with-trusted-data\/","title":{"rendered":"Q&A: Rural Health Transformation Starts with Trusted Data"},"content":{"rendered":"

Conversation with <\/em>Mark Coetzer<\/em><\/a>, VP of Business Development at IMAT Solutions<\/em><\/p>\n

Top Takeaways<\/h3>\n

\u2022 The Rural Health Transformation Program is about building sustainable healthcare infrastructure<\/strong>, not simply distributing funding.\u00a0
\u2022 Health information exchanges have an opportunity to become the trusted data foundation<\/strong> supporting statewide healthcare transformation.\u00a0
\u2022 High-quality, standardized healthcare data is essential<\/strong> for AI, quality reporting, population health, and value-based care.\u00a0
\u2022 Organizations that strengthen data governance today will be better positioned <\/strong>to maximize Rural Health Transformation investments tomorrow.\u00a0
<\/small><\/small><\/p>\n

The CMS Rural Health Transformation Program<\/a> (RHTP) represents one of the most significant investments in rural healthcare in recent years. While much of the conversation has focused on funding, the program also presents an opportunity to modernize how healthcare data is shared, trusted, and used across entire states.<\/p>\n

Health information exchanges (HIEs), healthcare organizations, and technology partners all have an important role to play in helping rural communities improve care coordination, quality reporting, population health, and long-term sustainability.<\/p>\n

We sat down with Mark Coetzer, VP of Business Development at IMAT Solutions, to discuss what the Rural Health Transformation Program means for healthcare organizations and why trusted healthcare data will ultimately determine its success.<\/p>\n

Q: For readers who may be hearing about it for the first time, what is the Rural Health Transformation Program?<\/strong><\/p>\n

Mark:<\/strong> At its core, the Rural Health Transformation Program is designed to help states improve healthcare access, quality, and outcomes in rural communities. Rural providers often face unique challenges, including workforce shortages, financial pressures, limited access to specialty care, and aging infrastructure.<\/p>\n

The program gives states an opportunity to invest in long-term improvements that strengthen healthcare delivery rather than simply addressing short-term needs. That includes improving collaboration between providers, modernizing healthcare technology, expanding care coordination, and using healthcare data more effectively to improve patient outcomes.<\/p>\n

Q: Why has this program generated so much attention across the healthcare industry?<\/strong><\/p>\n

Mark:<\/strong> Because it signals something much larger than a funding opportunity.<\/p>\n

Healthcare has spent years connecting systems through interoperability initiatives. That’s been incredibly important, but we’re now entering the next phase of digital transformation.<\/p>\n

The conversation is shifting toward how organizations actually use healthcare data to improve care, measure outcomes, support value-based care, and prepare for AI. The Rural Health Transformation Program accelerates that shift because successful transformation depends on organizations working together around trusted, high-quality data.<\/p>\n

Q: What role do Health Information Exchanges play?<\/strong><\/p>\n

Mark:<\/strong> HIEs are uniquely positioned because they already connect providers across communities.<\/p>\n

Historically, many people viewed HIEs primarily as organizations that exchange healthcare information. Today, their role is becoming much broader.<\/p>\n

HIEs have the opportunity to become trusted statewide data infrastructure<\/a> supporting interoperability, population health, public health initiatives, quality reporting, analytics, and increasingly, artificial intelligence.<\/p>\n

The organizations that succeed will be those that move beyond moving data and focus on making healthcare data usable, trusted, and actionable.<\/p>\n

Q: You’ve talked a lot about trusted data. Why is that such an important part of Rural Health Transformation?<\/strong><\/p>\n

Mark:<\/strong> Because connected data isn’t always trusted data.<\/p>\n

Healthcare organizations often receive information from dozens, sometimes hundreds, of different systems. Even when that information can be exchanged successfully, it may use different terminology, coding standards, patient identifiers, or clinical definitions.<\/p>\n

If organizations don’t normalize, validate, and standardize that information, they risk making decisions based on incomplete or inconsistent data.<\/p>\n

That’s especially important for quality reporting, population health management, care coordination, and AI, all of which depend on reliable information.<\/p>\n

Q: Is interoperability enough?<\/strong><\/p>\n

Mark:<\/strong> Interoperability is absolutely essential, but it’s only one part of the equation.<\/a><\/p>\n

You can successfully exchange millions of records, but if those records aren’t standardized, normalized, and trusted, you’re limiting their value.<\/p>\n

Healthcare organizations need confidence that everyone is working from the same version of the truth. That’s what enables better analytics, more accurate quality reporting, stronger clinical decision-making, and more effective collaboration across care settings.<\/p>\n

Q: How does AI fit into Rural Health Transformation?<\/strong><\/p>\n

Mark:<\/strong> AI has enormous potential to improve healthcare, but AI is only as good as the data behind it.<\/a><\/p>\n

Healthcare organizations are investing heavily in AI today, yet many are still working through data quality challenges that have existed for years.<\/p>\n

If healthcare organizations want AI to generate reliable insights, identify patient risk, support clinical decision-making, or improve operational efficiency, they first need trusted, standardized healthcare data.<\/p>\n

The Rural Health Transformation Program gives organizations an opportunity to strengthen that foundation before AI adoption accelerates even further.<\/p>\n

Q: Where do healthcare organizations often underestimate the challenge?<\/strong><\/p>\n

Mark Coetzer:<\/strong> They often assume that once systems are connected, the work is finished.<\/p>\n

In reality, that’s where some of the most important work begins.<\/p>\n

Organizations still need to reconcile different data sources, improve governance, eliminate duplicates, standardize terminology, monitor quality, and ensure data can support multiple downstream uses.<\/p>\n

Those investments may not always be visible, but they ultimately determine whether analytics, quality reporting, interoperability, and AI initiatives succeed.<\/p>\n

Q: Looking ahead, what excites you most about Rural Health Transformation?<\/strong><\/p>\n

Mark:<\/strong> I think we’re entering a period where healthcare organizations can build something much more connected than we’ve had before.<\/p>\n

When providers, HIEs, public health agencies, payers, and community organizations all have access to trusted healthcare data, we create opportunities for better collaboration, better patient experiences, and better outcomes across entire communities.<\/p>\n

The technology already exists. The opportunity now is bringing together governance, data quality, interoperability, and collaboration to fully realize its potential.<\/p>\n

Q: If you could leave healthcare leaders with one piece of advice, what would it be?<\/strong><\/p>\n

Mark Coetzer:<\/strong> Don’t wait.<\/p>\n

Whether your organization ultimately participates directly in a Rural Health Transformation initiative or not, the investments you make today in trusted healthcare data, governance, interoperability, and analytics will support virtually every strategic priority moving forward.<\/p>\n

The organizations that prepare now will be in the strongest position to take advantage of future opportunities.<\/p>\n

The Opportunity Is Now<\/strong><\/p>\n

The Rural Health Transformation Program represents more than a new funding initiative. It reflects a broader shift toward connected, data-driven healthcare where interoperability, trusted data, quality reporting, and AI all work together to improve outcomes.<\/p>\n

For HIEs and healthcare organizations alike, success will depend not simply on exchanging more healthcare data, but on ensuring<\/p>\n

Contact IMAT Solutions<\/em><\/strong><\/a> to learn how <\/em><\/strong>IMAT Intelligence<\/em><\/strong><\/a> helps healthcare organizations build trusted, connected, and actionable healthcare data that supports interoperability, quality reporting, AI, population health, and long-term Rural Health Transformation.<\/em><\/strong><\/p>\n

\n

About the Author<\/strong>
\nMark Coetzer is VP of Business Development at IMAT Solutions, with more than 30 years of technology experience and a decade dedicated to healthcare. He brings deep expertise in clinical data integration, interoperability, and population health, and is passionate about helping organizations build trusted data foundations for better care and smarter outcomes.<\/small><\/p>\n

Additional Insights from Mark Coetzer<\/strong><\/small><\/p>\n

\u2022 Healthcare Has Achieved Interoperability. Now Comes the Hard Part: Data Standardization\u00a0<\/a>
\n\u2022 Bulk FHIR and the Next Phase of Data Exchange in Healthcare<\/a>
\n\u2022 Interoperability in 2026: Progress, Gaps, and What It Means for Closing Care Gaps<\/a>
\n\u2022 The Next Opportunity for HIEs Is Rural Health Transformation<\/a><\/small><\/p>\n","protected":false},"excerpt":{"rendered":"

Conversation with Mark Coetzer, VP of Business Development at IMAT Solutions Top Takeaways \u2022 The Rural Health Transformation Program is about building sustainable healthcare infrastructure, not simply distributing funding.\u00a0\u2022 Health information exchanges have an opportunity to become the trusted data foundation supporting statewide healthcare transformation.\u00a0\u2022 High-quality, standardized healthcare data is essential for AI, quality reporting, population health, and value-based care.\u00a0\u2022 Organizations that strengthen data governance today will be better positioned to maximize Rural Health Transformation…<\/p>\n","protected":false},"author":12,"featured_media":89859,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[202],"tags":[254,369,504,322,376,356,557,406,514,565,562,566],"acf":[],"_links":{"self":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/89857"}],"collection":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/comments?post=89857"}],"version-history":[{"count":1,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/89857\/revisions"}],"predecessor-version":[{"id":89858,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/89857\/revisions\/89858"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/media\/89859"}],"wp:attachment":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/media?parent=89857"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/categories?post=89857"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/tags?post=89857"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}