Cerner Innovation, Inc.

Michael Alan Ash

John Q DeVerter

Thomas C Gifford

Todd Jeffrey Reynolds

Yegor Faridovich Hanov

J D Tyler

Thomas Anthony Fangman

Harlen Hays

Pramod Pagadala

Douglas S McNair

Kanakasabha K Kailasam

John Christopher Murrish

Will Van Norel

Meagan Jacoby

Heather Owen

Christopher S Finn

David P McCallie, Jr

Margaret Cushing Kolm

David J O'Larte

Steven S Crooks

Brian J Lancaster

David Cohen

Brian Robert Carter

Daniel Martin Feimster

Savitha Venkat

Chad A Cole

Theresa Marie Wavada

Tonja McCord

Anubha Garg

Daniel Stocksick

Casey J Sansale

Hal W Schierts

Computerized methods for modifying at least one component of a clinical order are provided. The methods may include receiving a clinical order, the clinical order having a first component associated with a first phase and a second component associated with a second phase, wherein the first and second components have a first attribute in common, receiving an indication to modify the first attribute of the first component, and modifying the first attribute of the first component and the second component based on the indication received. The methods may further include associating the first and second components of the clinical order to form a cross-phase group and displaying the first and second components in association with an electronic record, e.g., an electronic medical record, in conjunction with a cross-phase group identifier to identify the components as members of the cross-phase group. Computerized systems for performing the disclosed methods are also provided.

Computerized system and method for modifying components of healthcare orders which are associated into cross-phase groups

Methods, computer systems, and computer readable media for transforming raw healthcare data into relevant healthcare data are provided. Transformation of raw healthcare data into relevant data is accomplished by receiving raw data from a plurality of disparate data sources, indexing the data, and mapping the data. Embodiments transform raw data into relevant data through the use of natural language processing, synonymy and ontology mapping, and adaptive knowledge processing. The relevant data is stored in a one record that includes information necessary to understand and represent that patient.

Health information transformation system

Methods, systems, and computer-storage media are provided for facilitating the care of a patient by a multi-disciplinary care team. A graphical user interface presents one or more clinical problems associated with a patient. For each clinical problem, actionable care team icons are presented that, among other things, identify care teams responsible for caring for the clinical problem and any actions taken by the care teams to address the clinical problem.

Multi-disciplinary team workspace

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.

Dynamic association and documentation

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.

Dynamic presentation of actionable content items

Methods, computer systems, and computer-readable storage media are provided for utilizing health-related variables to generate a current health state of a user along with a most-likely future health state of the user and an ideal future health state of the user. Graphical representations of these health states are generated and presented on a graphical user interface. The user is able to interact with the graphical representations to see the impact of the user's choices on the user's future health.

Health forecaster

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.

Duplication detection in clinical documentation to update a clinician

Methods, computer systems, and computer-readable storage media for generating graphical representations of health-related variables are provided. The graphical representations include a first body-image representation of a user at a current period of time. The graphical representations also include a second body-image representation that represents the user at a future period of time, the user in a simulated clinical 'what-if' scenario, or members of the population-at-large that share similar demographic traits with the user.

Graphic representations of health-related status

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.

Methods, computer systems, and computer readable media for a patient care card graphical user interface are provided. The patient care card graphical user interface comprises a requirements display area configured to display one or more clinical measures relating to a patient, and a visual indicator that changes depending on whether the at least one or more clinical measures has been met.

Patient care cards

Methods, computer-readable media, and systems for populating an electronic clinical document capable of receiving multiple types of data are provided. In one embodiment, dictation audio input is embedded directly into one or more sections of an electronic clinical document along with other data types, such as structured user input, free-text input, or system-generated input. An electronic clinical document having embedded dictation audio and other data types can receive transcribed text corresponding to the embedded dictation audio.

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Parkville, MO, United States of America

Michael Alan Ash