Senthil Nachimuthu·Apr 29, 2024Can LLMs Extract Meaning from Clinical Data? Part I.Part I starts with an overview of consistent extraction and representation of ‘meaning’ in medical records — semantic normalizationA response icon1A response icon1
Siva Gollapalli·Apr 3, 2024Healthcare Series — Working with SNOMED using RubyIn this blog post, let’s discuss how we can work with SNOMED and the tools around it. Please read previous blog posts, to get context…
Netra Prasad Neupane·Apr 1, 2023US HealthCare Basics — Part 2This is the second part of US Healthcare Basics. If you haven’t studied part 1, it will be hard to understand part 2, so please read part…
Netra Prasad Neupane·Mar 19, 2023US HealthCare Basics — Part 1While working in information technology in countries like Nepal and India, sometimes we face HealthCare data. You may know that The…A response icon1A response icon1
InWest Coast InformaticsbyTim Williams·Jan 17, 2023Less is More: Use Case Driven Terminology ImplementationIn healthcare, it is important to associate everything clinically relevant with a code to be able to accurately represent what you are…
Surgimate·Nov 14, 2022Healthcare Terms & Their Origins: Making Sense of Doctor SpeakDoctors have a language all of their own that’s basically Greek to most non-medical folk. Given that the Greeks founded modern medicine —…
InWest Coast InformaticsbyTim Williams·Oct 31, 2022Healthcare Terminology Systems Explained (part 3)Common Clinical Terminology Components
InWest Coast InformaticsbyTim Williams·Sep 22, 2022Healthcare Terminology Systems Explained (part 2)In our last article we talked about why Clinical Terminologies matter, some of the key terminologies in use today, and some of their basic…
