Guideline and protocol representation languages have reached a level of complexity where auxiliary methods are needed to support the authoring of protocols in the particular language. Several approaches and methods exist that claim high knowledge about both, the medical context and the formal requirements. Therefore, we need knowledge-based methods to facilitate the human plan designer and create the protocols of the particular language as automated as possible. We present a three-step wrapper method, called TimeWrap, to extract information, in particular temporal issues, out of semistructured data and integrate it in a formal representation. We illustrate our approach using the guideline-representation language Asbru and examples from guidelines to treat conjunctivitis.