Abstract: Embodiments include a customizable encounter document whose contents are populated based on a template for the current patient, a template for all the user's patients, or a combination of templates. The contents include data modules retrieved from various databases and are arranged according to the user's work flow. The contents are presented in one view, a scrollable pane, to assist the user when making medical decisions. The user can make changes to the contents on the scrollable pane in real time that may affect one or more of the templates. Once the customizable encounter document is signed, the contents are captured, de-identified, and saved, along with a link of the captured contents with the user, and/or the patient's EHR.

Abstract: Embodiments include a customizable encounter document whose contents are populated based on a template for the current patient, a template for all the user's patients, or a combination of templates. The contents include data modules retrieved from various databases and are arranged according to the user's work flow. The contents are presented in one view, a scrollable pane, to assist the user when making medical decisions. The user can make changes to the contents on the scrollable pane in real time that may affect one or more of the templates. Once the customizable encounter document is signed, the contents are captured, de-identified, and saved, along with a link of the captured contents with the user, and/or the patient's EHR.

Abstract: Embodiments include a customizable encounter document whose contents are populated based on a template for the current patient, a template for all the user's patients, or a combination of templates. The contents include data modules retrieved from various databases and are arranged according to the user's work flow. The contents are presented in one view, a scrollable pane, to assist the user when making medical decisions. The user can make changes to the contents on the scrollable pane in real time that may affect one or more of the templates. Once the customizable encounter document is signed, the contents are captured, de-identified, and saved, along with a link of the captured contents with the user, and/or the patient's EHR.

Abstract: In an embodiment, a computer-implemented method predicts a related symptom. In the method, the EHR system determines a plurality of mapping entries to build a predictive model. Each mapping entry specifies a correlation between a first symptom and a second symptom in at least one patient encounter note. After building the predictive model, the EHR system receives a reported symptom. Then, the EHR system selects which of the plurality of mapping entries corresponds to the reported symptom to generate a related symptom. The selected mapping entry correlates the related symptom with the reported symptom.