In some cases seems simple: to contract a skin rash the patient seeks a dermatologist; when the kids are sick he takes them to the pediatrician; or if you want to make a diet seeks a nutritionist. However, the doctor's choice is not always that easy.

Currently in Brazil, 53 recognized medical specialties. Besides not knowing exactly what each one of the complicated names as angiologist, nephrologist or proctologist, often the patient is in doubt about the dedicated each specialist. From this perspective, this work proposes, through the use of an authoring tool, apply the chatterbots building process as aids to clarify doubts with regard to medical specialties to patients in a humane way.

Research in natural language processing, a subarea of artificial intelligence, has been dedicated to the analysis and understanding of languages. Your goal is to produce computer programs able to "understand", that is, analyze and interpret human language, processing it and generating a response, such as occurs, for example, in response to questions systems, machine translation systems or to create text summaries systems. Today, with the increasing expansion of the Internet, chatterbots were developed, an application that uses natural language processing.

Chatterbots are programs that simulate a conversation such as those established between humans and are used with very different purposes, provided for a relationship as a "virtual friend", even for commercial use. For this to occur, between the input and output of information, sentences should be updated in its morphological, syntactic, semantic and pragmatic.

With the use of bibliographic exploratory research aims to assess the operation and use of a chatterbot authoring tool, called MedicalBot; and to verify the potential use of this technology, which performs the process of human-machine interaction in a humane way in various situations.