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Data quality is the key to semantic interoperability

Interoperability in healthcare involves layers of technical, syntactic, and semantic data exchange. The latter has proven the most elusive to achieve.

Article

IMO’s Ivana Naeymi-Rad on improving data quality in healthcare and disproving self-doubt

In a recent interview on the Modern CTO podcast, hosted by Joel Beasley, our COO Ivana Naeymi-Rad explains how IMO improves data quality in healthcare and offers a bold approach to handling imposter syndrome.

Article

Enhancing data quality initiatives across the health IT ecosystem

Getting all of your own medical information in one place can be a tough task. Now imagine gathering the data for a whole hospital, or even an entire state. Then, for good measure, throw in the fact that meaningful healthcare data analytics require that all these records be standardized before they can be useful. That’s where a normalization solution with a built-in clinical terminology layer can help.

Article

Data quality in healthcare: The case for increased interoperability

Given that most of us see more than one doctor – in more than one health system – it’s no surprise that medical records from a single location are often incomplete. But that’s a problem, according to a new study about data quality in healthcare.

Article

IMO, HIMSS survey explores impact of data quality on healthcare

Earlier this year, IMO and HIMSS collaborated on a survey about the quality of patient data and how it can be harnessed to better inform clinical and financial decision-making in healthcare. Find out how the results led to some noodling on the nature of inputs and outputs in our latest blog.

Article

IMO Clinical AI: Driving superior healthcare data quality

Built on award-winning tech, rich clinical terminology, and proven expertise, IMO Clinical AI infuses our solutions, enhancing healthcare data quality.

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Enhancing payer-provider collaboration: Strategies for improved HCC data quality

Payers struggle with EHR data quality issues—unspecific diagnoses, missed HCCs, and care gaps… to name a few.

Article

Lost in the healthcare data maze: Finding your way to quality

Ready to make complex clinical data usable? Learn how NLP technology, data normalization engines, and value set management tools can help.

Article

CyncHealth and IMO partner to improve clinical data quality

Learn how one organization enhanced their healthcare data quality and standardization, leading to better patient care and efficient data management.

Article

Ask an expert: AI innovation and quality data in life science

The future of healthcare is intertwined with AI. Dr. Wang shares her insights, experiences, and vision for life science’s next frontier.

Article

Demystifying value set management through improved data quality

In health informatics, accurate value set management is the key to efficiently identifying patients within a target population, simplifying a historically complex process.

Article

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 full potential?

Search Results: data quality – Page 2

Data quality is the key to semantic interoperability

IMO’s Ivana Naeymi-Rad on improving data quality in healthcare and disproving self-doubt

Enhancing data quality initiatives across the health IT ecosystem

Data quality in healthcare: The case for increased interoperability

IMO, HIMSS survey explores impact of data quality on healthcare

IMO Clinical AI: Driving superior healthcare data quality

Enhancing payer-provider collaboration: Strategies for improved HCC data quality

Lost in the healthcare data maze: Finding your way to quality

CyncHealth and IMO partner to improve clinical data quality

Ask an expert: AI innovation and quality data in life science

Demystifying value set management through improved data quality

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

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