Abstract: A method for automatically generating clinical structured reports based on templates using voice recognition, the method implemented by a computing device and includes applying a natural language processing algorithm to a captured voice input from a client to identify one or more keywords or phrases. At least one of a plurality of clinical structured report templates are identified based on the identified one or more keywords or phrases correlated to medical examination data points associated with each of the templates. A clinical structured report is automatically prepared based on the identified clinical structured report templates without a non-voice input and without an explicit separate voice command directed to manage a report generation operation. The clinical structured report includes modifications to the clinical structured report template based on the identified one or more keywords or phrases. The clinical structured report is provided to the client.

Abstract: Systems and methods for generating clinical structured reports, allowing users to indicate findings from a medical examination without having to enter normal findings. In one aspect, a user selects a clinical structured report template for a particular type of medical examination. A default clinical structured report based on the template, and comprising normal findings for the medical examination type, is presented to the user. The user modifies one or more of the normal findings to indicate abnormal findings. A clinical structured report is generated, based on the default normal findings and the abnormal findings received from the user. The report is stored in a database or sent to one or more recipients over a network. In one aspect, the normal findings comprise text data. In another aspect, the normal findings comprise plots, graphs, diagrams, or other types of data. In one aspect, the system provides for multi-language support and translations.