Eloquest’s Post

𝐓𝐡𝐞 7 𝐃𝐞𝐚𝐝𝐥𝐲 𝐒𝐢𝐧𝐬 𝐨𝐟 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 👻 Want to speed up your writing process? Good idea! But try to avoid the following common mistakes. ☠ 𝐒𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐢𝐧𝐬𝐭𝐞𝐚𝐝 𝐨𝐟 𝐭𝐡𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦. Wondering if there's a more modern way to organize AE tables than plowing through dozens of pages with a highlighter? Randomly throwing a language model at it will just waste your time. Better start with a detailed description of your problem. This will give you a basis for communication with experts. ☠ 𝐑𝐞𝐢𝐧𝐯𝐞𝐧𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐰𝐡𝐞𝐞𝐥. There are a number of companies that have been dealing with topics like the automation of clinical study reports, CSRs, for years: Yseop, Narrativa Generative AI, and of course, we at Eloquest, to name just a few. Get in touch and see what's already available or who could help you with their expertise. ☠ 𝐁𝐥𝐢𝐧𝐝 𝐭𝐫𝐮𝐬𝐭 𝐢𝐧 𝐀𝐈 𝐞𝐱𝐩𝐞𝐫𝐭𝐬 𝐰𝐡𝐨 𝐡𝐚𝐯𝐞 𝐧𝐨 𝐢𝐝𝐞𝐚 𝐚𝐛𝐨𝐮𝐭 𝐲𝐨𝐮𝐫 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲. Unfortunately, medical writing is too complex for that. ☠ 𝐈𝐠𝐧𝐨𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐞𝐦𝐩𝐥𝐨𝐲𝐞𝐞𝐬. This not only scares your employees but also harms software development. You can't afford developers to develop past the users. ☠ 𝐁𝐥𝐢𝐧𝐝 𝐭𝐫𝐮𝐬𝐭 𝐢𝐧 𝐟𝐫𝐞𝐞𝐥𝐲 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐭𝐨𝐨𝐥𝐬. It goes without saying. ☠ 𝐀𝐥𝐰𝐚𝐲𝐬 𝐚𝐬𝐬𝐮𝐦𝐢𝐧𝐠 𝐭𝐡𝐚𝐭 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐢𝐬 𝐢𝐧𝐡𝐞𝐫𝐞𝐧𝐭 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚. Sorry to break it to you, but the chances are good that your dataset is not comprehensive enough to fully represent the affected document type. Business logic and internal agreements are all too often not documented in the input data. ☠ 𝐒𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐚 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧. 𝐓𝐡𝐞 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐜𝐚𝐧 𝐰𝐚𝐢𝐭. It may be that your automation project has the potential to revolutionize the medical writing industry in the long run. But to reap the benefits in the near future, don't lose contact to planet earth. Happy Halloween 💘 !