In an earlier article about artificial intelligence (AI) for medical writing1, I stressed that AI tools would assist, accelerate and augment the process of clinical documentation. I also argued that the key to the third aspect, augmentation, was the use and future acceptance of standard texts. This, of course, is going to be the hardest to implement and where most of the pushback occurs.
Everyone is in favour of making the preparation of clinical documents easier and faster, but when you start talking about standardising the text, the acceptance drops precipitously. In addition, many writers feel uncomfortable with a tool that seems to be taking their thinking away from them and produces a document that they don’t understand or feel connected to. So how do we address these challenges to bring the huge potential power of AI to the writing of clinical documents? I believe that the keys are transparency, flexibility, and control.