 This study found that there are significant variations in the reporting practices of natural language processing, NLP, assisted observational clinical studies. These variations include inconsistencies in referencing measurements, varying levels of detail provided about the NLP methodology, and evaluation, and differences in the reporting location, either within the main text or in an appendix. In order to ensure the widespread adoption and utilization of NLP solutions in clinical research, this study outlines six principles that align with the World Health Organization's WHO, guiding principles for the ethical use of artificial intelligence, AI, for health. These principles include transparency, accountability, fairness, accuracy, security, and privacy. This article was authored by Sun Yangfu, Lu Wei Wang, Sun Green Moon, and others.