<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[kevin@agatehealthai.com]]></title><description><![CDATA[AgateHealthAI]]></description><link>https://www.agatehealthai.com/some-of-our-thoughts</link><generator>RSS for Node</generator><lastBuildDate>Fri, 16 Oct 2026 12:57:09 GMT</lastBuildDate><atom:link href="https://www.agatehealthai.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Revolutionizing Healthcare Data Management with Kevin Agatstein, CEO of KAID Health]]></title><description><![CDATA[Kevin Agatstein shares his thoughts on the value of data in healthcare, and what more needs to be done to make it truly transform outcomes and quality.]]></description><link>https://www.agatehealthai.com/post/revolutionizing-healthcare-data-management-with-kevin-agatstein-ceo-of-kaid-health</link><guid isPermaLink="false">6aa2ae766b6b040961d60f6a</guid><pubDate>Thu, 10 Sep 2026 13:21:14 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_d532d0dd2900483498a7c42d19e5f96d~mv2.png/v1/fit/w_1000,h_664,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[AI-Enabled Automation of Prescription Renewal Systems: Addressing Healthcare’s Hidden Burden]]></title><description><![CDATA[For HIT Consultant, Agate Health AI's founder Kevin Agatstein shares how AI-enabled automation is streamlining the prescription renewal process—reducing administrative burden for clinicians while enhancing efficiency and improving patient outcomes.]]></description><link>https://www.agatehealthai.com/post/ai-enabled-automation-of-prescription-renewal-systems-addressing-healthcare-s-hidden-burden</link><guid isPermaLink="false">6aa21e7365014d409c179602</guid><pubDate>Wed, 19 Mar 2025 04:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_68dbfbca99ca4a2db79a067f9a44b712~mv2.png/v1/fit/w_588,h_318,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[Healthcare Innovation &#38; Entrepreneurship with Founder of KAID Health, Kevin Agatstein]]></title><description><![CDATA[Kevin Agatstein reflects on his healthcare entrepreneurial successes, failures, and everything in between over a casual lunch.]]></description><link>https://www.agatehealthai.com/post/healthcare-innovation-entrepreneurship-with-founder-of-kaid-health-kevin-agatstein</link><guid isPermaLink="false">6aa2ad46f448a9cd17b084fb</guid><pubDate>Fri, 06 Sep 2024 13:17:33 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_1ef7127ef40a45c2b04417d7f518de7a~mv2.png/v1/fit/w_704,h_400,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[More Patient Data? Be Careful What You Wish for…AI’s Role in Making Clinical Data Exchange Useful]]></title><description><![CDATA[Any single electronic medical record (EMR) often only contains a fraction of the patient’s total health record. Hence, provider organizations are investing in data exchange. Such EMR interoperability, while having obvious benefits, makes already bloated patient charts that much thicker. Although not a panacea, AI can help aggregate, clean, and prioritize EMR data, thus making the promise of interoperability more attainable than ever. This holds great promise for care continuity.]]></description><link>https://www.agatehealthai.com/post/more-patient-data-be-careful-what-you-wish-for-ai-s-role-in-making-clinical-data-exchange-useful</link><guid isPermaLink="false">6aa2b3815462f0629b994f73</guid><pubDate>Thu, 01 Aug 2024 04:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_36dc52b7a2cf4a9b8a635fbfb70f8dd6~mv2.png/v1/fit/w_505,h_281,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[Case study on an AI pipeline to review charts]]></title><description><![CDATA[Artificial intelligence (AI), particularly natural language processing (NLP), aids in summarizing patient charts. AI's portrayal in the popular press is notable, with articles both about and by AI models. Often depicted as a "black box," AI is described in monolithic terms as "the AI," "the model," or personified as Siri, Alexa, or ChatGPT. While this simplifies marketing, it obscures understanding of AI's functions, suitable solutions for specific tasks, and integration into workflows,...]]></description><link>https://www.agatehealthai.com/post/case-study-on-an-ai-pipeline-to-review-charts</link><guid isPermaLink="false">6aa2210365014d409c179b81</guid><pubDate>Sat, 09 Mar 2024 04:18:03 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_b09ce74972d6478e8be13172af336015~mv2.png/v1/fit/w_996,h_648,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[Chart Review Is Dead; Long Live Chart Review: How Artificial Intelligence Will Make Human Review of Medical Records Obsolete, One Day]]></title><description><![CDATA[Many clinical and administrative workﬂows, including billing and coding, quality measurement, medical management, care management, prior authorization, and patient risk assessment, require various forms of chart review. AI holds the promise to not only reduce the burden on this costly process, but fundamentally transform the value of patient data.]]></description><link>https://www.agatehealthai.com/post/chart-review-is-dead-long-live-chart-review-how-artificial-intelligence-will-make-human-review-of-m</link><guid isPermaLink="false">6aa2b40e5462f0629b9950a0</guid><pubDate>Tue, 10 Oct 2023 04:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_36dc52b7a2cf4a9b8a635fbfb70f8dd6~mv2.png/v1/fit/w_505,h_281,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[For Clinical Analytics to Improve Outcomes, They Need to Be Useful and Be Used]]></title><description><![CDATA[In healthcare, "good" patient data—accurate, timely, accessible, and relevant—enables "good" care. However, delivering such data to the point-of-care is challenging due to fragmented medical records across different systems focused more on billing and liability mitigation than care delivery. Patient data is often a mix of structured EMR tables, medical claims, and free-text notes, usually organized chronologically, requiring clinicians to sift through EMRs for insights and care improvement...]]></description><link>https://www.agatehealthai.com/post/for-clinical-analytics-to-improve-outcomes-they-need-to-be-useful-and-be-used</link><guid isPermaLink="false">6aa226d5e2747afb47ebf5de</guid><pubDate>Tue, 20 Jun 2023 04:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_b09ce74972d6478e8be13172af336015~mv2.png/v1/fit/w_996,h_648,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[AI Trends to Watch in Healthcare – Text Analytics]]></title><description><![CDATA[For MedHealth Review, Agate's founder Kevin Agatstein shares his view on  the AI trends to watch in healthcare with a focus on text analytics.]]></description><link>https://www.agatehealthai.com/post/ai-trends-to-watch-in-healthcare-text-analytics</link><guid isPermaLink="false">6aa2275694b5dddd74915d2a</guid><pubDate>Tue, 04 Apr 2023 03:44:04 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_b09ce74972d6478e8be13172af336015~mv2.png/v1/fit/w_996,h_648,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[How Search Makes Clinical Natural Language Processing Useful in the Real World]]></title><description><![CDATA[Patient data needs to be searchable for software to meet the needs of those who review clinical charts. Leveraging clinical natural language understanding (cNLU) to rapidly structure clinical notes and make the entire medical record searchable holds the potential to free up massive labor pools for more valued tasks. Kevin Agatstein and Clinical AI Specialist Dimitri Linde cover how AI can make medical data searchable for HIT Consultant.]]></description><link>https://www.agatehealthai.com/post/how-search-makes-clinical-natural-language-processing-useful-in-the-real-world</link><guid isPermaLink="false">6aa2285294b5dddd74915f6d</guid><pubDate>Fri, 24 Mar 2023 04:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_68dbfbca99ca4a2db79a067f9a44b712~mv2.png/v1/fit/w_588,h_318,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[Health Tech: Kevin Agatstein of KAID Health On How Their Technology Can Make An Important Impact On Our Overall Wellness]]></title><description><![CDATA[In recent years, Big Tech has gotten a bad rep. But of course many tech companies are doing important work making monumental positive changes to society, health, and the environment. To highlight these, we started a new interview series about “Technology Making An Important Positive Social Impact”. We are interviewing leaders of tech companies who are creating or have created a tech product that is helping to make a positive change in people’s lives or the environment. As a part of this...]]></description><link>https://www.agatehealthai.com/post/health-tech-kevin-agatstein-of-kaid-health-on-how-their-technology-can-make-an-important-impact-on</link><guid isPermaLink="false">6aa2b059240835677c432674</guid><pubDate>Tue, 20 Dec 2022 05:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_c21bcdeb31ff4c77b0e676dfec234283~mv2.png/v1/fit/w_848,h_430,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[Taking Clinical Natural Language Processing Mainstream for Effective Care Management]]></title><description><![CDATA[Across healthcare, clinical natural language processing continues to play an ever more influential role. Kreimeyer et al.’s “Natural language processing systems for capturing and standardizing unstructured clinical information” identified over 70 different CNLP systems in the literature, spanning multiple clinical domains. Unfortunately, few of these directly address the applicability of CNLP to care management. This lack of CNLP supporting care managers will and should change. Making this...]]></description><link>https://www.agatehealthai.com/post/taking-clinical-natural-language-processing-mainstream-for-effective-care-management</link><guid isPermaLink="false">6aa2b1bf571318e8c9e19b12</guid><pubDate>Wed, 05 Oct 2022 04:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_f0a93c26bd1c468e85965f016e9f581c~mv2.png/v1/fit/w_732,h_364,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[From "If-Then" to Artificial Intelligence...18 Uses of AI for Population Health]]></title><description><![CDATA[Despite several high-profile fits and starts, Artificial Intelligence (AI) represents one of the most promising technologies to improve population health. Last year, health executives identified AI as the most potentially disruptive technology to the industry. Goldman Sachs estimates that the technology can eliminate $28bn annually in payer and provider inefficiencies by 2025. Accenture is even more optimistic. Even if some of this hype is potentially excessive, AI will be a meaningful...]]></description><link>https://www.agatehealthai.com/post/from-if-then-to-artificial-intelligence-18-uses-of-ai-for-population-health</link><guid isPermaLink="false">6aa2b65816968d3479d5376e</guid><pubDate>Wed, 13 Jun 2018 13:57:06 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_1982efa8d395443897cb12c224d84f2a~mv2.png/v1/fit/w_874,h_470,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item><item><title><![CDATA[If blood sugars are rising click here... Perceptions on ways to improve diabetes management in primary care settings]]></title><description><![CDATA[Today there are 30M diabetics in the US, or 10% of the population. The disease costs $245B annually. 86% of diabetics do not meet the recommended targets for glycemic control, blood pressure, LDL cholesterol level, and tobacco use.  With 79M Americans having pre-Diabetes the societal burden of this disease will only get worse. Today primary care physicians (PCPs) are delivering much of the diabetes care.  Growing prevalence of diabetes will require PCPs to do even more, including better...]]></description><link>https://www.agatehealthai.com/post/if-blood-sugars-are-rising-click-here-perceptions-on-ways-to-improve-diabetes-management-in-primar</link><guid isPermaLink="false">6aa2b83b6b6b040961d62224</guid><pubDate>Tue, 01 Jul 2014 04:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e1b014_1982efa8d395443897cb12c224d84f2a~mv2.png/v1/fit/w_874,h_470,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kevin Agatstein</dc:creator></item></channel></rss>