Euibeom Shin, Yifan Yu, Robert R Bies, Murali Ramanathan
Evaluation of ChatGPT and Gemini large language models for pharmacometrics with NONMEM
Journal of pharmacokinetics and pharmacodynamics
healthcare fraud waste abuse costly problems huge impact society traditional approaches identify noncompliant claims rely auditing strategies requiring trained professionals machine learning methods requiring labelled data possibly lacking interpretability present clais collaborative artificial intelligence system claims analysis clais automatically extracts humaninterpretable rules healthcare policy documents 072 f1score enables professionals edit validate extracted rules intuitive user interface clais executes rules claim records identify noncompliance task clais significantly outperforms two baseline machine learning models median f1score 10 iqr 083 10 executing extracted rules 10 iqr 10 10 executing rules human curation professionals confirm user study usefulness clais making workflow simpler effective