Abstract: Methods, systems, and computer-readable media are provided to detect similarities between two or more clinical documents. It is determined that a clinician is currently inputting data into a first clinical document that is associated with a patient. A selectable option is provided on a user interface into which the clinician is currently inputting the data. An indication is received that the selectable option has been selected by the clinician. An algorithm is applied to identify the second clinical document from a plurality of clinical documents. At least a portion of the inputted data in the first clinical document and at least a portion of data in the second clinical document are transformed to generate a new representation of the first clinical document that indicates the similarities that are potentially inaccurate or inappropriate between the first clinical document and the second clinical document.

Abstract: Methods, systems, and computer-storage media are provided for enabling a user to dynamically create associations and take actions with respect to a clinical finding associated with a patient. After selecting a clinical finding that is of interest in a first workflow application, a graphical user interface is automatically presented. The graphical user interface includes trending information for the clinical finding as well as information related to the clinical finding. The graphical user interface enables a clinician to associate the clinical finding with a current patient problem or a possible diagnosis related to the clinical finding. Additionally, the graphical user interface enables the clinician to take actions with respect to the clinical finding.

Abstract: Methods, systems, and computer storage media are provided for converting a source in a first terminology to a target in a different terminology. A source in a first terminology may be converted to a target in a second terminology using cross maps that map sources to all possible matching targets, probability data derived from frequency data illustrating a frequency of selection for targets in relation to specific sources, lexical matching algorithms indicating targets with highest lexical matches for specific sources, or a combination thereof. Any one, or a combination, of the data above may be used to identify a probabilistically most relevant target in a desired terminology.

Abstract: Methods, systems, and computer-readable media are provided for facilitating the voice-assisted creation of a shorthand clinical note on a mobile or tablet device. A microphone on the device is used to capture a conversation between a clinician and a patient. Clinically-relevant concepts in the conversation are identified, extracted, and temporarily presented on the device's touch screen interface. The concepts are selectable, and upon selection, the selected concept is populated into a clinical note display area of the touch screen interface. The shorthand clinical note may be used as a memory prompt for the later creation of a more comprehensive clinical note.

Abstract: Methods, systems, and computer-readable media are provided for determining and generating content items that provide patient information and content provided by, for example, a third-party content provider that is relevant to information associated with an open healthcare application. The content items are displayed in a separate display space from the healthcare application's user interface and dynamically change and update in response to changes in the information being displayed on the healthcare application's user interface. Additionally, the content items are actionable thereby enabling healthcare providers to address alerts, take actions, view supporting documentation, and the like.

Abstract: Methods, systems, and computer-readable media are provided to detect incremental changes in clinical documents associated with a patient. A user selection is received indicating that a user wants to compare two or more clinical documents that are associated with the patient or authored by the same clinician, enabling the user to become up-to-date on the patient's care. A first clinical document and a second clinical document are identified. For the first clinical document and the second clinical document, differences are algorithmically determined. The first clinical document is transformed into a new representation of the first clinical document. Further, the second clinical document is transformed into a new representation of the second clinical document. One or more of the new representations of the first and the second clinical documents are displayed, assisting the user to quickly find and understand the differences between the documents.

Abstract: Methods, systems, and computer-readable media are provided for determining and generating variably-sized display areas for presenting content items. The display areas include a notification bar that present icons representative of content items, a content item display area that displays content items, and a results display area that presents more detailed information concerning a particular content item.

Abstract: Methods, systems, and computer-readable media are provided for determining and generating content items that provide patient information and content provided by, for example, a third-party content provider that is relevant to information associated with an open healthcare application. The content items are displayed in a separate display space from the healthcare application's user interface and dynamically change and update in response to changes in the information being displayed on the healthcare application's user interface. Additionally, the content items are actionable thereby enabling healthcare providers to address alerts, take actions, view supporting documentation, and the like.

Abstract: Methods, systems, and computer-readable media are provided for determining and generating content items that provide patient information and content provided by, for example, a third-party content provider that is relevant to information associated with an open healthcare application. The content items are displayed in a separate display space from the healthcare application's user interface and dynamically change and update in response to changes in the information being displayed on the healthcare application's user interface. Additionally, the content items are actionable thereby enabling healthcare providers to address alerts, take actions, view supporting documentation, and the like.

Abstract: Methods, systems, and computer-readable media are provided to detect similarities between two or more clinical documents. It is determined that a clinician is currently inputting data into a first clinical document that is associated with a patient. A selectable option is provided on a user interface into which the clinician is currently inputting the data. An indication is received that the selectable option has been selected by the clinician. An algorithm is applied to identify the second clinical document from a plurality of clinical documents. At least a portion of the inputted data in the first clinical document and at least a portion of data in the second clinical document are transformed to generate a new representation of the first clinical document that indicates the similarities that are potentially inaccurate or inappropriate between the first clinical document and the second clinical document.

Abstract: Methods, systems, and computer-readable media are provided to detect incremental changes in clinical documents associated with a patient. A user selection is received indicating that a user wants to compare two or more clinical documents that are associated with the patient or authored by the same clinician, enabling the user to become up-to-date on the patient's care. A first clinical document and a second clinical document are identified. For the first clinical document and the second clinical document, differences are algorithmically determined. The first clinical document is transformed into a new representation of the first clinical document. Further, the second clinical document is transformed into a new representation of the second clinical document. One or more of the new representations of the first and the second clinical documents are displayed, assisting the user to quickly find and understand the differences between the documents.

Abstract: Methods, systems, and computer storage media are provided for converting a source in a first terminology to a target in a different terminology. A source in a first terminology may be converted to a target in a second terminology using cross maps that map sources to all possible matching targets, probability data derived from frequency data illustrating a frequency of selection for targets in relation to specific sources, lexical matching algorithms indicating targets with highest lexical matches for specific sources, or a combination thereof. Any one, or a combination, of the data above may be used to identify a probabilistically most relevant target in a desired terminology.

Abstract: Methods, systems, and computer-readable media are provided for facilitating the voice-assisted creation of a shorthand clinical note on a mobile or tablet device. A microphone on the device is used to capture a conversation between a clinician and a patient. Clinically-relevant concepts in the conversation are identified, extracted, and temporarily presented on the device's touch screen interface. The concepts are selectable, and upon selection, the selected concept is populated into a clinical note display area of the touch screen interface. The shorthand clinical note may be used as a memory prompt for the later creation of a more comprehensive clinical note.

Abstract: Methods, systems, and computer-readable media are provided for determining and generating content items that provide patient information and content provided by, for example, a third-party content provider that is relevant to information associated with an open healthcare application. The content items are displayed in a separate display space from the healthcare application's user interface and dynamically change and update in response to changes in the information being displayed on the healthcare application's user interface. Additionally, the content items are actionable thereby enabling healthcare providers to address alerts, take actions, view supporting documentation, and the like.

Abstract: Methods, systems, and computer-readable media are provided for determining and generating variably-sized display areas for presenting content items. The display areas include a notification bar that present icons representative of content items, a content item display area that displays content items, and a results display area that presents more detailed information concerning a particular content item.

Abstract: Methods, systems, and computer-storage media are provided for enabling a user to dynamically create associations and take actions with respect to a clinical finding associated with a patient. After selecting a clinical finding that is of interest in a first workflow application, a graphical user interface is automatically presented. The graphical user interface includes trending information for the clinical finding as well as information related to the clinical finding. The graphical user interface enables a clinician to associate the clinical finding with a current patient problem or a possible diagnosis related to the clinical finding. Additionally, the graphical user interface enables the clinician to take actions with respect to the clinical finding.

Abstract: Methods, systems, and computer-storage media are provided for searching a plurality of clinical documents associated with a patient. A searchable timeline is presented on a graphical user interface; the searchable timeline has a plurality of icons representing clinical documents created for the patient. The icons overlay the timeline at points in time corresponding to when the icon's respective document was created. Selection of an icon initiates the presentation of the icon's respective document. Preference and filter options enable a user to filter the clinical documents based on, for example, health concepts that have been identified for the patient.

Abstract: A computerized method and system for generation an immunization schedule for a person in healthcare environment is provided. The system receives a request for an immunization schedule for a person and obtains information from an electronic medical record of the person stored within a comprehensive healthcare system. The system obtains one or more immunization schedules and utilizes the information from the electronic medical record of the person and the immunization schedule to generate a customized immunization schedule for the person. In another embodiment, the system receives immunization information for a person and stores the immunization information in the electronic medical record of the person within a comprehensive healthcare system.

Abstract: A computerized method and system for generation an immunization schedule for a person in healthcare environment is provided. The system receives a request for an immunization schedule for a person and obtains information from an electronic medical record of the person stored within a comprehensive healthcare system. The system obtains one or more immunization schedules and utilizes the information from the electronic medical record of the person and the immunization schedule to generate a customized immunization schedule for the person. In another embodiment, the system receives immunization information for a person and stores the immunization information in the electronic medical record of the person within a comprehensive healthcare system.

Abstract: A computerized method and system for generation an immunization schedule for a person in healthcare environment is provided. The system receives a request for an immunization schedule for a person and obtains information from an electronic medical record of the person stored within a comprehensive healthcare system. The system obtains one or more immunization schedules and utilizes the information from the electronic medical record of the person and the immunization schedule to generate a customized immunization schedule for the person. In another embodiment, the system receives immunization information for a person and stores the immunization information in the electronic medical record of the person within a comprehensive healthcare system.