{"id":21560,"date":"2023-04-06T18:16:07","date_gmt":"2023-04-06T18:16:07","guid":{"rendered":"https:\/\/imatsolutions.com\/\/?p=21560"},"modified":"2025-11-03T17:46:05","modified_gmt":"2025-11-03T17:46:05","slug":"podcast-improving-readmissions-and-cms-star-ratings-with-imat","status":"publish","type":"post","link":"https:\/\/imatsolutions.com\/index.php\/2023\/04\/podcast-improving-readmissions-and-cms-star-ratings-with-imat\/","title":{"rendered":"PODCAST: Improving Readmissions and CMS Star Ratings with IMAT\u2019s NLP Solution"},"content":{"rendered":"<p><em>In the following IMAT Solutions podcast interview, Dr. Matt Hoffman, former Chief Medical Informatics Officer at the Utah Health Information Network (UHIN), and Strategic Consultant to IMAT Solutions, discusses dynamic use cases around how the IMAT platform improves readmissions and Star Ratings.<\/em><\/p>\n<div id=\"audioigniter-39147\" class=\"audioigniter-root \" data-player-type=\"full\" data-tracks-url=\"https:\/\/imatsolutions.com\/?audioigniter_playlist_id=39147\" data-display-track-no=\"false\" data-reverse-track-order=\"false\" data-display-tracklist-covers=\"false\" data-display-active-cover=\"true\" data-display-artist-names=\"true\" data-display-buy-buttons=\"false\" data-buy-buttons-target=\"false\" data-cycle-tracks=\"false\" data-display-credits=\"false\" data-display-tracklist=\"false\" data-allow-tracklist-toggle=\"false\" data-allow-tracklist-loop=\"false\" data-limit-tracklist-height=\"true\" data-volume=\"100\" data-tracklist-height=\"185\" ><\/div>\n<p>The IMAT Solutions <a href=\"https:\/\/imatsolutions.com\/\/index.php\/articles\/imat-platform-overview\/\">platform<\/a> offers the ability for healthcare organizations to leverage quality data from both structured and unstructured sources to provide true insights into all patient and population health risks.<\/p>\n<p>In addition, through the use of <a href=\"https:\/\/imatsolutions.com\/\/index.php\/2020\/05\/imat-platform-brings-more-meaning-to-data-through-natural-language-processing\/\">Natural Language Processing<\/a> (NLP), IMAT can help improve overall Star Ratings. In this podcast, Dr. Hoffman provides a deep-dive perspective on how the IMAT platform led to true business outcomes through decreased hospital readmissions and increased reimbursements for health payers.<\/p>\n<p><strong>Following are key highlights from this interview:<\/strong><br \/>\n<small><br \/>\n\u2022 A high-level overview of the use case around structured and unstructured data. (:40)<br \/>\n\u2022 About IMAT\u2019s NLP capabilities, and how IMAT helps to meet CMS Star Quality measures. (2:25)<br \/>\n\u2022 Outcomes around Star Ratings, reimbursement, and Risk Adjustment Processing Systems (RAPS) improvements. (5:05)<br \/>\n\u2022 About a use case around the improvements in LACE scores through the use of the IMAT platform. (9:27)<\/small><\/p>\n<p><strong>Are you a health payer interested in achieving these kinds of business and care outcomes through the use of aggregated clinical data? Check out our <a href=\"https:\/\/imatsolutions.com\/\/index.php\/articles\/news\/imat-daas-platform-helps-payers-boost-revenue\/\">new explainer video<\/a> about our IMAT Flexible Payer Solution. In addition, <a href=\"https:\/\/imatsolutions.com\/\/index.php\/contact\/\">contact us<\/a> to learn more about the IMAT Flexible Payer Solution for health payers.<\/strong><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the following IMAT Solutions podcast interview, Dr. Matt Hoffman, former Chief Medical Informatics Officer at the Utah Health Information Network (UHIN), and Strategic Consultant to IMAT Solutions, discusses dynamic use cases around how the IMAT platform improves readmissions and Star Ratings. The IMAT Solutions platform offers the ability for healthcare organizations to leverage quality data from both structured and unstructured sources to provide true insights into all patient and population health risks. In addition,&#8230;<\/p>\n","protected":false},"author":8,"featured_media":21565,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[266,1],"tags":[],"class_list":["post-21560","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-podcasts","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PODCAST: Improving Readmissions and CMS Star Ratings with IMAT\u2019s NLP Solution - IMAT Solutions<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/imatsolutions.com\/index.php\/2023\/04\/podcast-improving-readmissions-and-cms-star-ratings-with-imat\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PODCAST: Improving Readmissions and CMS Star Ratings with IMAT\u2019s NLP Solution - IMAT Solutions\" \/>\n<meta property=\"og:description\" content=\"In the following IMAT Solutions podcast interview, Dr. Matt Hoffman, former Chief Medical Informatics Officer at the Utah Health Information Network (UHIN), and Strategic Consultant to IMAT Solutions, discusses dynamic use cases around how the IMAT platform improves readmissions and Star Ratings. 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