Abstract: Some embodiments are directed to a control system (400) for an augmented reality device (410). The control system may determine a comparison-situation, at least from a received video stream, in which the user is selecting a physical object matching a reference object. Augmented reality content may be generated that indicate reference content.

Abstract: Disclosed herein is a medical system (100, 300, 500) comprising: a memory (110) storing machine executable instructions, at least one set of predetermined coordinates (124), and a position identifying algorithm (122). The position identifying algorithm is configured for outputting a set of current coordinates (128) for each of the at least one set of predetermined coordinates in response to receiving a current image descriptive of an object (306, 310). The execution of machine executable instructions (120) causes a computational system (104) to repeatedly receive (200) a current image (126) from a camera system (304).

Abstract: There is provided an apparatus (100) for implementing a clinical protocol. The apparatus (100) comprises one or more processors (102) configured to detect that a clinical protocol is to be implemented and identify which of a plurality of devices are required to implement the clinical protocol and one or more actions to perform in connection with the identified ones of the devices to implement the clinical protocol. The one or more processors (102) are configured to control a user interface (104) to output one or more notifications on the manner in which a user is to interact with one or more of the identified ones of the devices and/or control one or more of the identified ones of the devices to cause the one or more identified actions to be performed in connection with the identified ones of the devices to implement the clinical protocol.

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: 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: The present disclosure pertains to a system for providing model-based predictions of actively managed patients. In some embodiments, the system (i) obtains a collection of information related to a payer-attributed population of patients associated with a provider; (ii) extracts, from the collection of information, health insurance claims data, clinical data, process data, and patient encounter data; (iii) provides the health insurance claims data, clinical data, process data, and patient encounter data to a machine learning model to train the machine learning model; (iv) causes the machine learning model to predict familiarity values associated with patients of the population of patients; and (v) generates a provider assessment based on the familiarity values and the collection of information.

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: Computer implemented methods and systems of flagging a portion of a recording of a patient interaction with a clinical professional for review. A method comprises acquiring a recording of a patient interaction with a clinical professional, acquiring physical data relating to a physical state of the patient during the recording, and based on the physical data, flagging a portion of the recording for review.

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: Method for sharing data (SD2) between users (11,12). The method comprises initiating body coupled communication (BCC) between first and second devices (21,22) and in response to the body coupled communication (BCC), sending a data request (Q1) from one or both of the devices (21,22) to a remote server (30). The data request (Q1,Q2) comprises first device data (ID1) and the second device data (ID2). The server (30) processes the data request (Q1) and determines shared data (SD2) based at least in part on both the first device data (ID1) and the second device data (ID2). The server sends a data response (R1) to the first device (21), wherein the data response (R1) comprises the shared data (SD2).

Abstract: The present invention generally relates to time allocation of a clinical process. It is proposed in the present invention to introduce statistical significance as an indicator of the real improvement of activities in the modified time allocation against the original time allocation to achieve a statistically meaningful time allocation.

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: Method for sharing data (SD2) between users (11,12). The method comprises initiating body coupled communication (BCC) between first and second devices (21,22) and in response to the body coupled communication (BCC), sending a data request (Q1) from one or both of the devices (21,22) to a remote server (30). The data request (Q1,Q2) comprises first device data (ID1) and the second device data (ID2). The server (30) processes the data request (Q1) and determines shared data (SD2) based at least in part on both the first device data (ID1) and the second device data (ID2). The server sends a data response (R1) to the first device (21), wherein the data response (R1) comprises the shared data (SD2).

Abstract: Systems and methods for providing an indication of the relative condition of neonatal subjects. Test datasets are obtained which describe monitored vital functions of a test subject. The test dataset is compared with one or more previously obtained model datasets describing model vital functions. Based on the comparison of the test datasets with the model datasets of vital functions a progress prediction for the development of the vital functions of the test subject may be determined. An indication of the progress prediction for the development of vital functions may be presented to a user to assist in the future handling of the test subject.

Abstract: A method, gesture input devices and a computer program product are provided for gesture enabled simultaneous selection of range and value. A user makes a gesture with two fingers (210, 220) to select a range of values (e.g. one of a range of seconds, minutes or hours) and select a value from this selected range of values (e.g. if the selected range of values is hours, a value between 00-23 hours). The gesture is captured using a camera based input device or a touch input device, which detects two user input contact points (230, 240). The distance (250) between these two user input contact points (230, 240) determines the selected range of values. The selection of the value from this selected range of values is determined by an angle (280) between two imaginary lines (250, 270). The first imaginary line (250) is the line between the first (230) and second (240) user input contact point.