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Data quality assessment LP

Data quality assessment Evaluate your data. Protect your profits. Denied claims cut by 67%. Medicare Advantage reimbursement up $23M. $2M saved through

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.

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.

Healthcare data standardization drives innovation

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

How specialized terminologies improve clinical documentation

When your EHR lacks specialized terminologies, a host of health IT initiatives suffer. Going beyond the basics improves clinical documentation and more.

4 things to know: IMO Health’s March 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

Ask an expert: How do we normalize data in healthcare?

Healthcare data standardization is important, but that doesn’t mean it’s easy. So, what do we mean when we talk about normalization in

Health Plans

Health Plans Ensure accurate, reliable patient data across your operations Enhance diagnosis specificity with ICD-10-CM and HCC codes to improve workflows and

The cost of building a team of clinical informaticists

IMO Health's Senior Director of Clinical Informatics Amol Bhalla, MD, tackles a complex question: How much does it cost to build

4 reasons why healthcare startups fail

Tech startups are seemingly everywhere, but healthcare data companies still struggle to succeed in the market. Here are some reasons why.

The push for patient-friendly terminology

Communicating with patients shouldn’t mean settling for confusing clinical terminology. Learn how patient-friendly language is changing the conversation.

The role of data quality managers in informatics

Clinical informatics struggles? A data quality manager might be the answer.

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