Resource Library

Tag: Data Quality and Standardization

Why semantic interoperability matters in healthcare

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

Article

Clinical Terminology

How to train your LLM: And why semantic interoperability is the key to success

As healthcare aims to extract more value from clinical data, interest is growing in large language models (LLMs). Our latest insight brief…

Insight Brief

AI and NLP

IMO Precision Sets: Streamlining value set management

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

Article

Value Sets

Accurate value sets: The basis for clinical initiatives and targeted analysis

Creating and maintaining value sets is challenging often diverting an organization’s valuable resources from other essential tasks. Our latest insight brief explores…

Insight Brief

EHR workflows

IMO Precision Normalize with NLP: Standardize all data

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

Article

IMO Health Culture

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

Moving beyond data cleansing: How data scientists are reclaiming their time

With insights from data science experts, this brief offers concrete ways for organizations to better support their data science teams, enabling them…

Insight Brief

Data Quality and Standardization

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

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

High-quality data enables medical research

With perspectives from supporting experts, this paper explores how groundbreaking research could be accelerated if electronic health record (EHR) data gets the…

White Paper

Clinical Documentation and Coding

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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Tag: Data Quality and Standardization

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