IMAT Solutions Blog

29 Oct How Trusted Data Fuels Scalable Analytics for Health Systems

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By Mark Coetzer, VP of Business Development at IMAT Solutions Many enterprise data executives at health systems are being asked to turn analytics into measurable clinical and financial value. Success depends on trusted, unified, and high-quality data that supports innovation at scale. AI ready data gives health systems the reliable foundation they need to improve time to insight, increase platform adoption across service lines, and unlock true return on data investments. The Strategic Shift to Data as...

08 Oct How AI-Ready Health Data Supports the Joint Commission and CHAI Guidance

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Author: Mark Coetzer, VP of Business Development at IMAT Solutions The Joint Commission and Coalition for Health AI (CHAI) recently took an important step toward shaping the future of artificial intelligence in healthcare. The organization’s new report, Guidance on Responsible Use of AI in Healthcare, outlines how hospitals and health systems can safely, effectively, and transparently implement AI at scale. One of the most meaningful sections of this report focuses on ongoing quality monitoring, encouraging healthcare organizations...

27 Aug Healthcare Business Today: AI Ready Health Data in the Era of Smarter Care

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Healthcare is undergoing a profound transformation, driven by the rise in artificial intelligence (AI). From predictive analytics to care coordination, AI is poised to reshape how organizations improve outcomes, engage patients, and manage resources. However, as IMAT Solutions’ Mark Coetzer recently explained in his new guest article for Healthcare Business Today, the success of AI in healthcare depends on one critical factor, AI ready health data. Why AI Ready Health Data Matters AI models are only as strong...

06 Aug How to Make Health Data AI Ready: A Smarter Path for Healthcare Systems

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In today’s rapidly evolving healthcare landscape, artificial intelligence (AI) is no longer a futuristic concept, but a growing necessity. From clinical decision support to operational efficiency, AI is becoming an integral part of how care organizations improve outcomes and reduce costs. However, for AI to deliver on its promise, healthcare systems must first overcome one fundamental challenge: ensuring their data is AI ready. Why AI Ready Data Matters According to industry research, healthcare organizations are adopting AI technologies...

21 May How the IMAT Intelligence Platform Supports the CMS Innovation for Healthier Lives

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The Centers for Medicare & Medicaid Services (CMS) Innovation Center has outlined an ambitious vision for the future of American healthcare: to "Make America Healthy Again." This bold strategy emphasizes prevention, patient empowerment, and competition as the key pillars to transform care delivery and improve health outcomes. As detailed in a recent CMS blog post, this initiative aims to reshape healthcare around proactive and patient-centered model. Data is the thread that connects every element. That’s where...

07 May Unlocking the Power of Data for Clinically Integrated Networks (CINs) with IMAT Intelligence

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Clinically Integrated Networks (CINs) are transforming how care is delivered across the U.S. healthcare system. These collaborative provider networks are designed to deliver more efficient, affordable, and coordinated care to patients. But as the landscape continues to shift toward value-based care, CINs face mounting pressure to leverage health data in smarter, more integrated ways. In this post, we explore what makes CINs essential to modern healthcare, why data integration is critical to their success, and how...

22 Jan McKinsey: Healthcare Software, Data and Analytics Key Priority for 2025

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On the heels of the Deloitte 2025 U.S. Healthcare Outlook, which points to the adoption of transformative technologies, McKinsey just released its “What to expect in U.S. healthcare in 2025 and beyond” report. Unlike the Deloitte report that highlights a brighter future for revenue generation for payers and care systems, the McKinsey report discusses significant financial pressures on payers and providers due to inflation, labor shortages, and reimbursement constraints. In addition, payers have experienced financial strain,...

20 Nov Why Centralized Data Repositories (CDRs) are Essential for Modern Healthcare

Posted at 06:16h in Health Payers, Hospitals and Clinics by DesignWorks 0 Comments

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Introduction In today’s healthcare landscape, achieving value-based care requires enhanced health data sharing, integration, and accessibility across various systems. Centralized Data Repositories (CDRs) have become vital in meeting these needs, enabling seamless interoperability within healthcare. A CDR acts as a centralized hub, consolidating data from numerous sources—electronic medical records (EMRs), claims, labs, pharmacies, and more—to provide a holistic view of patient and operational information. This comprehensive approach supports data-driven decision-making, streamlines operations, and ensures regulatory compliance, all...

25 Sep Bain & Company/KLAS: Payers and Providers Increasing IT Investments

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IMAT’s Health Data Management Platform Provides Significant ROI on Payer and Provider Health IT Investments According to a new survey from Bain & Co. and KLAS Research, health payers and providers are boosting their overall investments in cybersecurity, AI and other critical IT areas and are more willing to experiment with these technologies. While payers and providers are continuing to place a premium on technology, there are still challenges around legacy technologies and aging infrastructure that...

25 Jul McKinsey: How to Bring Digital Health Investment Priorities to Life

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The IMAT Health Data Management Platform is a Significant Enabler for Modernization While most health system executives view digital and AI transformation as being critical, the vast majority are lacking resources or planning to bring these innovation efforts to life, according to a recent McKinsey survey. Specifically, 75 percent of respondents reported that their organizations are not yet able to deliver on digital transformation because they have not sufficiently planned or allocated the necessary resources. In addition,...