IMO Wrapped 2023: Top resources from a busy year in healthcare
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.
Fresh perspectives on clinical terminologies, code mapping, and patient insights from the experts at IMO.
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.
Melax Tech, now part of IMO, collaborated with Roche in a pilot project led by Stefanie Kaufmann, Roche’s lead data scientist, to address the challenge of extracting structured data from unstructured patient reports in clinical settings.
Frank Manion, PhD and Andre Pontin offer a comprehensive exploration of natural language processing (NLP) tailored for healthcare professionals.
Gear up for the upcoming Current Procedural Terminology (CPT) codes set changes that go into effect on January 1, 2024. Join seasoned coding professionals, June Bronnert and Shelly Jude, as they highlight the most important things you need to know about next year’s updates.
See how health informatics is helping shape the future of healthcare with artificial intelligence (AI), precision medicine, and global outreach.
What does a fighter jet have in common the usability of IMO solutions? Principal UX Designer, Erik Gloor, lays it all out in the latest In My Opinion.
IMO has been working to create a workplace culture that supports employee diversity, inclusion, and equity. A recent progress check shows our advancement towards this goal.
Experimenting with NLP in healthcare, specifically generative AI tools, has its fair share of risks and rewards. IMO’s new white paper explains.
Guided by industry experts, learn the impact of large language models (LLMs). Explore ChatGPT’s rapid ascent, its role in extracting insights from unstructured healthcare data, and its applications in real-world evidence and clinical trials.
Learn how AI is transforming systematic literature review tools to improve precision, efficiency, and the future of research.
Rare disease care requires the identification of eligible patients for specialized interventions. However, that task is often time-consuming and laborious, involving the manual extraction of data from a myriad of sources, structured and unstructured alike.
The future of healthcare is intertwined with AI. Dr. Wang shares her insights, experiences, and vision for life science’s next frontier.