Data Quality Archives

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Explore how NLP-driven data normalization can help you manage clinical data complexities and bring health tech solutions to market faster.

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Gary Gottlieb, MD, MBA, is confident technology can improve the human condition. It’s one of the many reasons he’s joined the board

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Discover how enhancing data quality with clinical terminology can streamline the cleanup process and boost overall provider satisfaction.

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Highlights from a recent webinar explore how organizations can utilize value set data to improve patient care, streamline workflows, and more.

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Understand the barriers to superior data quality in healthcare, plus key strategies for extracting, standardizing, and enriching health information.

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Learn how value sets impact data use and EHR workflows, plus how organizations can enhance their creation and maintenance with innovative tools.

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A lack of specificity in clinical documentation can negatively impact reimbursement, billing, and more. Read on to learn how to protect your

Webinar

By leveraging IMO Health technology, CyncHealth has scaled data standardization and enriched patient diagnoses in their data warehouses.

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A recent HIMSS Market Insights survey underscores significant gaps leaders face in managing data quality in healthcare.

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By leveraging rich clinical terminology and IMO Clinical AI to train LLMs, the accuracy of medical coding can be greatly improved.

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IMO Health will show how LLMs can enhance clinical decision-making and data quality in healthcare via large-scale oncology trial analysis at ASCO

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Learn about the various tools necessary to achieve effective NLP in healthcare, focusing on the NLP development platform in IMO Clinical AI.

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