Data Quality Archives | Page 3 of 7

When using LLMs in healthcare, semantic interoperability is key

As you build a strategy for leveraging large language models (LLMs) to support healthcare initiatives, don’t overlook the critical role of semantic

IMO Precision Sets: Streamlining value set management

Meet our new solution that simplifies the creation, organization, and maintenance of value sets.

IMO Precision Normalize with NLP: Standardize structured and unstructured data

IMO enhances IMO Precision Normalize with natural language processing (NLP) capabilities to extract and standardize unstructured EHR data.

What’s lurking in your EHR?

Reading the patient chart shouldn’t feel like a game of hide and seek. Explore the challenges and upsides to uncovering the best

Proceed with caution: Why code crosswalks are built to fail

Code crosswalks are everywhere in healthcare, but there’s no safety in numbers. In fact, this practice is full of pitfalls that have

The CDC’s DMI: A turning point for data quality in public health

The CDC has advanced national health threat surveillance via the Data Modernization Initiative (DMI), but there's still room for progress.

Figure it out or fail: Extracting the value from unstructured data

Organizations may think that more healthcare data means more value, but the complexity of extracting that value can be challenging. Learn why.

From raw to refined: Striving for high quality data in healthcare

Healthcare research and decision-making is highly dependent upon clinical data in the EHR. So, what stands in the way of realizing its

IMO enhances clinical data solutions with Melax Tech acquisition

The acquisition of Melax Tech will expand IMO’s suite of products to improve patient care, clinical workflows, and healthcare data quality.

The key to better, faster innovation: Healthcare data standardization

Your organization doesn’t need to solve every problem on its own, especially standardizing disparate healthcare data.

Looking inward: How your tech stack can help improve data quality

Listen in as expert panelists discuss the challenges to achieving reliable, high-quality data in healthcare – and suggest strategies to overcome them.

HEDIS 101: Measuring the performance of managed healthcare plans

In a world of health IT acronyms, HEDIS is one of the most complex. We’re breaking down the specifics of the program

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