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Webinar Recap: Leveraging AI to Solve Common Healthcare Challenges: Hear from the Experts

Three experts from Wolters Kluwer addressed how AI-powered software solutions, including natural language processing (NLP) and machine learning (ML), can help optimize the tedious process of reviewing patient medical records to more accurately inform high-value organizational initiatives and drive improved patient care.

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Drugs making a mess of your data?

Without a data infrastructure in place to support data normalization, healthcare organizations risk experiencing negative downstream impacts resulting in revenue loss, misidentified gaps in patient care, inaccurate analytics, or incorrect clinical decision support.

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Lab Mapping…what the LOINC?!

Why Is lab mapping important? Why should you (provider/payer) care? What exactly is being mapped and why? We discuss how Health Language® Solutions can help and give examples in client use cases.

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Raising the Bar on Semantic Interoperability and Data Quality

With healthcare costs reaching an all-time high, payer and provider organizations are hyper-focused on initiatives that improve patient outcomes, control costs and increase profitability.

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Webinar Recap: How Quality Data is Key to Delivering Value

As hospitals, health systems, and health plans implement value-based care programs, managing the quality of an organization’s data continues to be key to driving down costs and improving the value that patients receive from healthcare providers.

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Webinar Recap: Quality Data: Three Steps to Simplify Data Governance, Enable Semantic Interoperability, and Enhance Your Reporting and Analytics

With healthcare spending at an all-time high, healthcare leaders face increasing pressure to cut costs while still delivering on organizational initiatives and improved patient care. To be successful, healthcare organizations are looking to innovative technology solutions such as automation, analytics, and artificial intelligence (AI) to help staff be more effective and efficient.

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Webinar Recap: Applying AI in healthcare: Challenges, opportunities, and emerging applications

The noise about the promise of artificial Intelligence (AI) in healthcare is deafening at times. In fact, today’s clinical, financial and IT leaders would be hard pressed to devise a forward-looking strategy that did not at least consider the role of AI in such initiatives as healthcare quality, cost reduction and population health management.

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Breaking Down the Data Silos: How reference data is the cornerstone of an overall data management strategy

The importance of overcoming this challenge was recently underscored in a webinar hosted by Health Data Management. My colleague Brian Diaz, Wolters Kluwer Health Language Senior Director of Strategy, and I took an in-depth look at how healthcare organizations can bring together strategy, systems, and infrastructure to support management of a crucial enterprise asset: reference data.

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Financial Stability in a Fluid Market

Revenue cycle management can leverage systems and workflows that close gaps, tie up loose ends, and ensure submission of a clean claim. Reference data—representing the coded and uncoded data used across a health system—plays an all-important role in strategies that optimize revenue cycle processes and ensure compliance with industry licensing requirements. As the market continues to […]

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Three Reasons DSM-5 Mapping Strategies Matter

The introduction of industry standards such as SNOMED CT, ICD-10, LOINC, and RxNorm is an important step toward achieving the goals of interoperability and information sharing. Yet healthcare organizations still face notable challenges to laying the best frameworks for normalizing data to these standards. Since there is no one standard that addresses all healthcare information, […]

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