Dec 6, 2023
Ivana Naeymi-Rad, Chief Operating Officer at Intelligent Medical Objects, works with providers, payers, and life science companies to help them make sense of data. IMO specializes in data quality, cleaning paper-based data, and data interoperability in structured and unstructured formats. Sentiment analysis provides insights into the emotions of providers and patients, while AI and large language models support data entry and improve provider workflow. IMO also focuses on addressing the complexities of data in the context of drug discovery, genomics, and precision medicine.
Ivana explains, "We started with this foundational clinical interface terminology that has been a big part of the building blocks as we've expanded into this data quality platform. The terminology allows us to better understand clinical data in ways you wouldn't be able to understand by looking at it. We've worked with providers, we've worked with health systems to take their data to ingest it, and then we have a team of clinicians and informaticists processing and creating rules and policies around that data."
"A lot of the challenges that we solve are around better data entry, number one, at the point of care. Then two, a lot of the broader interoperability-related challenges around disparate data that flow into data warehouses analytics platforms further downstream. We help customers standardize, normalize, really make sense of data, and utilize their data in ways they just wouldn't be able to before because we have that deep clinical understanding."
"Unfortunately, a lot of that data is still on paper. The good news is that when it comes to us, it's already digitized. Still, I do know the pain that it takes when we hear about customers and their fax machines and the PDFs and the optical character recognition, trying to get that data in a format that is accessible and able to be cleaned. There is so much opportunity in healthcare to standardize a lot of this process. The cleanliness and the quality issues of the data today are impacting a wide variety of people across the entire data chain."
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