Abstract: Some embodiments are directed to a data filtering device configured to select for a widget of visualizing type out of multiple widgets, the controlling widgets of filtering type, wherein a widget is controlling according to a control rule, said control rule depending on the widget location of the widget of visualization type and the widget location of the widget of filtering type.

Abstract: Various embodiments described herein relate to a method, apparatus, and computer-readable medium including one or more of the following: displaying a first attribute display representative of a first attribute of a data set, the first attribute display comprising a first input element for receiving an indication of a first attribute value; displaying a second attribute display representative of a second attribute of the data set, the second attribute display comprising a second input element for receiving an indication of a second attribute value; receiving an indication of a first attribute value for the first attribute of a data set; and after receiving the indication of the first attribute value, altering the second input element of the second attribute display to reflect a portion of the data set matching a query including the first attribute value.

Abstract: A computer (10) displays an information data set (22) in a viewport (30) using a first type of rendering (42) when the viewport is in a first viewport geometry space (52), and displays the information data set in the viewport using a second type of rendering (44) when the viewport is in a second viewport geometry space (54). The viewport may be resized by a user. While displaying the first type of rendering, resizing of the viewport into the second viewport geometry space is detected and in response the computer transitions to displaying the information data set using the second type of rendering. Likewise, while displaying the information data set in the viewport using the second type of rendering, resizing of the viewport into the first viewport geometry space is detected and in response the computer transitions to displaying the information data set using the first type of rendering.

Abstract: Some embodiments are directed to a data filtering device configured to select for a widget of visualizing type out of multiple widgets, the controlling widgets of filtering type, wherein a widget is controlling according to a control rule, said control rule depending on the widget location of the widget of visualization type and the widget location of the widget of filtering type.

Abstract: In pattern discovery visual analytics, a patient data table (14) is generated that tabulates, for each patient, attribute values for a set of attributes. A positive or negative prediction is generated for each patient for a target value of a target attribute using a prediction pattern (20) of attribute values for w attributes (22). The prediction is positive if at least a threshold fraction (26) of the w attributes of the patient match the prediction pattern, is negative otherwise. Patients are grouped into a selected proportion of a confusion matrix (30) in accord with the positive or negative predictions and actual values of the target attribute T in the patient data table. A display component (4) displays a representation (42) of patient statistics for the selected proportion of the confusion matrix on a per-attribute basis for attributes of the w attributes. A patient cohort (44) is identified using the representation.

Abstract: Various embodiments described herein relate to a method, apparatus, and computer-readable medium including one or more of the following: displaying a first attribute display representative of a first attribute of a data set, the first attribute display comprising a first input element for receiving an indication of a first attribute value; displaying a second attribute display representative of a second attribute of the data set, the second attribute display comprising a second input element for receiving an indication of a second attribute value; receiving an indication of a first attribute value for the first attribute of a data set; and after receiving the indication of the first attribute value, altering the second input element of the second attribute display to reflect a portion of the data set matching a query including the first attribute value.

Abstract: A health care performance assessment apparatus (10) includes at least one processor (16, 20, 22, 24) programmed to: collect information associated with medically-related events from a plurality of databases; group the collected information associated with medically-related events into episode of care (EOC) data structures wherein each EOC data structure contains the collected information for a single EOC treating a medical condition or providing a medical procedure to a single patient; store the EOC data structures in an EOC repository (18); group EOC data structures having a chosen commonality into at least one cohort; and calculate at least one key performance indicators (KPIs) for the cohorts. A display (2) is configured to display the KPIs for at least one selected cohort.

Abstract: A computer (10) displays an information data set (22) in a viewport (30) using a first type of rendering (42) when the viewport is in a first viewport geometry space (52), and displays the information data set in the viewport using a second type of rendering (44) when the viewport is in a second viewport geometry space (54). The viewport may be resized by a user. While displaying the first type of rendering, resizing of the viewport into the second viewport geometry space is detected and in response the computer transitions to displaying the information data set using the second type of rendering. Likewise, while displaying the information data set in the viewport using the second type of rendering, resizing of the viewport into the first viewport geometry space is detected and in response the computer transitions to displaying the information data set using the first type of rendering.

Abstract: A method and an apparatus for accurately predicting and modeling patient events, such as avoidable admissions, within a healthcare network are disclosed herein. The present disclosure provides systems and methods of predicting and modeling patient events with the use of a constantly updated data set, a sliding windows format, and a random survival forest model. Further, the present disclosure provides methods and systems for accurately predicting and modeling patient events and patient flows amongst various facilities within, and outside of, the healthcare network.

Abstract: In pattern discovery visual analytics, a patient data table (14) is generated that tabulates, for each patient, attribute values for a set of attributes. A positive or negative prediction is generated for each patient for a target value of a target attribute using a prediction pattern (20) of attribute values for w attributes (22). The prediction is positive if at least a threshold fraction (26) of the w attributes of the patient match the prediction pattern, is negative otherwise. Patients are grouped into a selected proportion of a confusion matrix (30) in accord with the positive or negative predictions and actual values of the target attribute T in the patient data table. A display component (4) displays a representation (42) of patient statistics for the selected proportion of the confusion matrix on a per-attribute basis for attributes of the w attributes. A patient cohort (44) is identified using the representation.