Computational Methods, Resources, and Tools to Assess Transparency and Rigor of Randomized Clinical Trials

Randomized clinical trials are valuable in determining the effectiveness of health treatments. But problems with design, execution or reporting of the trial process can lead to unreliable findings, excessive costs, and, potentially, harm for patients. Associate Professor Halil Kilicoglu is leading a  team of computer/information scientists and clinical research methodologists in developing datasets, natural language processing (NLP) methods, and ultimately software tools that will help various stakeholders of biomedical communication assess and improve the reporting quality in randomized clinical trial protocols and result publications. Read more.