Resource Library

Resource Type: Article

Why SNOMED isn’t enough for complete clinical documentation

Don't settle for "good enough" clinical documentation. Learn why robust clinical terminology is key for accurate and seamless clinical data capture.

Article

Clinical Terminology

Navigating CMS-HCC V28: Optimize documentation

Our experts get you up to speed on what you need to know for CMS’ three-year transition from CMS-HCC V24 to V28.

Article

Financial Return

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…

Article

Clinical Terminology

How experts tackle the tedium of data cleansing and prep

Achieving data quality in healthcare is tricky. Learn how data scientists are streamlining data cleansing to free up time for more meaningful…

Article

AI and NLP

In My Opinion with Montrae Strickland

Interested in the inside scoop on Inside Sales? Look no further than this month’s In My Opinion Q&A with Montrae’ Strickland.

Article

IMO Health Culture

A primer on the CMS-HCC transition from V24 to V28

CMS’ decision to move to HCC Version 28 was not an easy one. How providers will manage the three-year transition may prove…

Article

Financial Return

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…

Article

Clinical Terminology

4 things to know: IMO Health’s June clinical terminology release

IMO Health updates its clinical terminology several times a year, ensuring each Regulatory release is as smooth as possible for clients. Here…

Article

Clinical Terminology

The value of value sets in healthcare data

Explore the importance of value sets in healthcare data. Learn how they improve patient care, drive interoperability, and ensure accurate reporting.

Article

Value Sets

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

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

Article

Data Quality and Standardization

Extracting 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.

Article

Interoperability

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…

Article

Data Quality and Standardization

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Resource Type: Article

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