Advancing disease phenotyping and precision medicine with NLP
Read an excerpt from our latest white paper exploring how NLP and generative AI can be used to advance disease phenotyping and precision medicine.
Read an excerpt from our latest white paper exploring how NLP and generative AI can be used to advance disease phenotyping and precision medicine.
Learn how AI technology can be used to improve OR utilization and why feedback from perioperative nurses is critical to its success.
Need help keeping track of which standardized code sets update when? Download our 2024 code calendar for a quick reference.
As IMO’s premiere PharmD on staff, Chris Liston shares his interesting career path from serving in the military to pharmacy and informatics.
Wrapping up 2023, we’re highlighting our top content of the year on data quality in healthcare, AI in healthcare, and NLP for unstructured EHR data.
Start managing your data quality more efficiently with IMO Precision Normalize, now available in IMO Studio.
In health informatics, accurate value set management is the key to efficiently identifying patients within a target population, simplifying a historically complex process.
By making the EHR more problem-oriented, healthcare providers can synthesize patient data, highlight key insights, and support more effective decision-making.
IMO’s Vice President of Strategy, Andrei Naeymi-Rad, recently spoke at Health 2.0 and shared his takeaways from the conference.
Reading the patient chart shouldn’t feel like a game of hide and seek. Explore the challenges and upsides to uncovering the best possible data in the medical problem list.
Organizations may think that more healthcare data means more value, but the complexity of extracting that value can be challenging. Learn why.
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?