\u2022 APP reporting<\/strong> requires MSSP ACOs to move beyond sampling and manual chart abstraction to support full population digital quality reporting. In his latest guest article for Healthcare Business Today<\/em>, Mark Coetzer<\/a>, VP of Business Development at IMAT Solutions, explores why the transition to the Alternative Payment Model Performance Pathway is forcing MSSP ACOs to fundamentally rethink<\/a> how they manage data and performance.<\/p>\n Read the full article here: <\/strong>Why MSSP ACOs Must Rethink Data Infrastructure for the APP Era<\/strong><\/a><\/p>\n For years, many MSSP ACOs relied on sampling and manual chart abstraction to make quality reporting manageable. That flexibility allowed organizations to work around fragmented data and inconsistent documentation by focusing on a limited subset of patient records.<\/p>\n Under APP, that model no longer works.<\/p>\n ACOs are now required to report<\/a> across their full eligible population using standardized electronic clinical quality measures and digital submission formats. That means every patient, every provider, and every system now has a direct impact on performance.<\/p>\n As Mark explains in the Q&A, this is not just a policy update. It is a structural shift in how quality is measured and how organizations must prepare for value-based care moving forward.<\/p>\n APP reporting removes the safety net of manual intervention and exposes a challenge many organizations have long struggled to address, which is that clinical data is rarely report ready at the source.<\/p>\n Most ACOs are managing data across distributed provider networks, multiple EHRs, inconsistent workflows, and varying coding practices. In a full population reporting model, those inconsistencies become much harder to overcome and much more costly to ignore.<\/p>\n The result is a new operational reality. Data must be complete, accurate, standardized, and trusted before it can be used for quality measurement.<\/p>\n This is where many organizations are being forced to move beyond traditional chart chasing and toward something more scalable: centralized data curation.<\/p>\n In the article, Mark outlines why the future of MSSP performance depends on building the right data foundation now.<\/p>\n That means creating centralized data repository that can:<\/p>\n <\/p>\n These capabilities are no longer just reporting enhancements. They are becoming the operational backbone of successful value-based care contracts.<\/p>\n At IMAT Solutions, we help healthcare organizations modernize the data infrastructure required to succeed in today\u2019s digital quality environment.<\/p>\n With IMAT Intelligence<\/a>, ACOs can move beyond fragmented reporting workflows by creating a centralized, trusted data foundation built for full population quality measurement.<\/p>\n IMAT Intelligence helps organizations:<\/p>\n <\/p>\n As MSSP reporting becomes more digital, more standardized, and more dependent on timely, trusted data, these capabilities are becoming essential for both compliance and financial performance.<\/p>\n The transition to APP is not just changing how ACOs report. It is changing what it takes to succeed.<\/p>\n In Healthcare Business Today<\/em>, Mark breaks down why this shift marks a digital tipping point for MSSP ACOs and what healthcare leaders should prioritize now to stay ahead.<\/p>\n Read the full article here: <\/strong>Why MSSP ACOs Must Rethink Data Infrastructure for the APP Era<\/strong><\/a><\/p>\n Contact IMAT Solutions<\/em><\/strong><\/a> to learn how <\/em><\/strong>IMAT Intelligence<\/em><\/strong><\/a> can help you build a trusted data foundation for APP reporting and digital quality measurement.<\/em><\/strong><\/p>\n About the Author<\/strong> Additional Insights from Mark Coetzer<\/strong><\/small><\/p>\n \u2022 MSSP ACO Reporting: The Digital Tipping Point for Full Population Data and Performance<\/a> Top Takeaways \u2022 APP reporting requires MSSP ACOs to move beyond sampling and manual chart abstraction to support full population digital quality reporting.\u2022 Clinical data quality now directly impacts performance, making complete, standardized, and report ready data essential for accurate measurement.\u2022 Fragmented data environments across EHRs, coding systems, and provider workflows make full population reporting far more difficult at scale.\u2022 Manual chart chasing is no longer sustainable and is being replaced by centralized data curation…<\/p>\n","protected":false},"author":12,"featured_media":89655,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[202],"tags":[497,492,498,313,377,405,287,466,245,310,496,406,302],"acf":[],"_links":{"self":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/89645"}],"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=89645"}],"version-history":[{"count":8,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/89645\/revisions"}],"predecessor-version":[{"id":89654,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/89645\/revisions\/89654"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/media\/89655"}],"wp:attachment":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/media?parent=89645"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/categories?post=89645"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/tags?post=89645"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\u2022 Clinical data quality<\/strong> now directly impacts performance, making complete, standardized, and report ready data essential for accurate measurement.
\u2022 Fragmented data environments<\/strong> across EHRs, coding systems, and provider workflows make full population reporting far more difficult at scale.
\u2022 Manual chart chasing<\/strong> is no longer sustainable and is being replaced by centralized data curation and more scalable reporting models.
\u2022 Trusted data infrastructure<\/strong> that can aggregate, normalize, and validate clinical and claims data in near real time is now critical for success.
\u2022 MSSP performance<\/strong> will increasingly depend on an organization\u2019s ability to operationalize trusted data at scale.<\/small><\/p>\nWhy This Shift Changes Everything<\/h3>\n
From Manual Reporting to Trusted Data Infrastructure<\/h3>\n
\n
How IMAT Supports MSSP ACO Readiness<\/h3>\n
\n
Read the Full Article<\/h3>\n
\n
\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
\n\u2022 The Shift to Digital Quality Measures: What CMS’ Next Move Means for Healthcare Data<\/a>
\n\u2022 Why MSSP ACOs Must Rethink Data Infrastructure for APP Quality Reporting<\/a>
\n\u2022 PODCAST: Why 2026 is the Digital Tipping Point for Healthcare<\/a><\/small><\/p>\n","protected":false},"excerpt":{"rendered":"