Abstract: A medical system (100) provides a setting recommendation (105) for a ventilator. A data interface (110) receives static patient data that includes values of patient parameters that are substantially invariant during a treatment period. A measurement interface (120) receives dynamic patient data that includes values of patient parameters that change during the treatment period. A processing unit (150) determines a new current patient data set based on the currently available patient data immediately after receiving the patient data and initiates, triggered by the determination of the new current patient data set, a comparison between the values of the current patient data set and stored assignment rules from a rule memory. Based on the comparison, a recommended device setting (134) of the ventilator, in view of the current patient data set, is received from a rule memory unit. A recommendation is output based on a comparison with a current device setting.

Abstract: Data streams are received from each of the plurality of sensors. These data streams comprise varying values generated by the sensors and characterize an associated physiological parameter. A parameter score is repeatedly determined for each physiological sensor that is based on whether the varying values for the associated physiological parameter deviate from at least one pre-defined threshold. A patient health index is repeatedly generated by combining each of the determined parameter scores to characterize an overall health of the patient. Data characterizing the patient health index is repeatedly provided. Related apparatus, systems, techniques and articles are also described.

Abstract: A method, an apparatus and a computer program for capturing optical image data of patient surroundings and for identifying a patient check-up. The method (10) for capturing optical image data of patient surroundings and for identifying a patient check-up on the basis of the image data includes detecting (12) the patient on the basis of the image data. There is a detecting (14) of at least one further person on the basis of the image data and determining (16) at least one geometric relation between the patient and the at least one further person. The determining (16) of the geometric relation includes determining an orientation or a viewing direction of the at least one further person in relation to the patient. The method further includes identifying (18) the patient check-up on the basis of the geometric relation.

Abstract: Data streams are received from each of the plurality of sensors. These data streams comprise varying values generated by in the sensors and characterize an associated physiological parameter. A parameter score is repeatedly determined for each physiological sensor that is based on whether the varying values for the associated physiological parameter deviate from at least one pre-defined threshold. A patient health index is repeatedly generated by combining each of the determined parameter scores to characterize an overall health of the patient. Data characterizing the patient health index is repeatedly provided. Related apparatus, systems, techniques and articles are also described.

Abstract: An evaluation unit (100) classifies a current treatment situation for a signal connected medical system. A receiving module (110) receives a plurality of treatment signals (112) that indicates a value (116) for a patient parameter (115) and a signal quality. A processing module stores values of patient parameters received at past times with a respective time stamp (125) indicating the time and a quality index (127) assigned to the respective value or group of values and detects a presence of a trigger signal (124) and calculates an evaluation score (134) using a stored calculation rule (132). The calculation uses the stored values of patient parameters as a function of the respective time stamp. The processing module calculates a quality indicator (138) using a stored quality metric (136) depending on the associated quality indices of the values of patient parameters necessary for the calculation of the evaluation score.

Abstract: A medical device arrangement (100) tests processing of data sets to be processed during operation of the medical device arrangement. The arrangement includes a data interface (110), analysis modules (120) and a test module (130). The analysis modules process a received medical data set (105). Each analysis module (122, 123, 124) forms a processing instance (390) for the medical data set or for the medical data set (125, 125?) already preprocessed by at least one other analysis module. The test module outputs a test data set (132) to one of the analysis modules during operation such that this analysis module processes the test data set in the same manner as the medical data set. The test module compares a correspondingly outputted, processed test data set (134) with a reference result (136) associated with the test data set and determines a test result (137) based on this comparison.

Abstract: A patient management system (100) manages an assignment to a patient, with a plurality of patient identifiers (110, 110?, 110?) and with a central patient monitoring device (120). Each of the patient identifiers has patient-specific information (112) stored thereon and is assigned to one of a plurality of patients. Each patient identifier includes a communication interface (114) configured to wirelessly output the patient-specific information. The central patient monitoring device is configured to detect and to store an assignment between the patient-specific information and the patient identifier based on the output (116) of the communication interface of the patient identifier. The patient monitoring device is configured to receive a forwarded signal (126) assigned to the patient identifier or to the patient-specific information and to process this forwarded signal based on the stored assignment.

Abstract: A patient management system (100) for managing an assignment to a patient, includes a plurality of patient identifiers (110). The patient identifiers are intended for use by a medical staff. Each of the patient identifiers, in which patient-specific information (112) is stored, is assigned to a corresponding one of a plurality of patients. A mobile user carrier device (120) is configured to store a plurality of patient identifiers, so that a number of patient identifiers currently being stored at the mobile user carrier device can be visually recognized. The mobile user carrier device has an energy storage device (122) and a communication interface (124). The mobile user carrier device is configured to read out the respective patient-specific information of the patient identifiers being stored at the mobile user carrier device, at least partially, and to output same wirelessly via the communication interface.

Abstract: A device generating a medical knowledge model, a medical knowledge model system for a formalized application of medical knowledge, a process generating a medical knowledge model, a process for the formalized application of medical knowledge, and a computer program are provided. The device (10) for generating a medical knowledge model includes a processing device (11), which is configured for providing at least one element from a standardized nomenclature for a user, for adding the at least one element from the standardized nomenclature to the medical knowledge model according to a selection of the user, and for storing a logic or a rule with regard to the at least one element concerning at least one element parameter according to a definition of the user. The device (10) includes one or more interfaces (12), which are configured for providing the medical knowledge model and for receiving a user input.

Abstract: A system (100) detects hazardous situations in a medical setting. A sensor unit (110) has optical sensors (112) to determine a sensor signal (114), and to output same in real time, which includes sensor data indicating a sequence of three-dimensional views of a monitored area (102) over a monitoring time. A processor unit (12) identifies a number of objects (122) to be protected based on the three-dimensional views, detects hazardous objects (124) based on the three-dimensional views, determines a number of object pairs (105), monitors positions of the protected objects and hazardous objects of the object pair over the monitoring time, assigns hazard values to the object pairs, calculates current hazard values for object pairs up to a current time over an analysis time interval and outputs a corresponding alarm signal (126) if a calculated hazard exceeds a threshold value. An output unit (130) triggers an alarm.

Abstract: A medical device (100) determines a cardiac output-dependent parameter (105) of a patient to be treated. A reception module receives a pulsatile signal (112) that indicates a blood pressure course (114). A storage module provides a model rule (122), describing an assignment between a number of predefined blood pressure course parameters (124) and the cardiac output-dependent parameter (105) to be assigned. A read-out module reads out the number of predefined blood pressure course parameters from the indicated blood pressure course and provides corresponding read-out measured values (132). A calculation module calculates and outputs an output value (142) for the cardiac output-dependent parameter (105) to be assigned based on the read-out measured values for the number of predefined blood pressure course parameters using the model rule, which is based at least partially on an end-systolic state (116) of a respective blood pressure pulse (115) of the blood pressure course.

Abstract: A system (100) monitors a position stability of a person (105) located on a patient positioning device (104) within a medical setting monitored area (108) and includes a sensor unit (110) with optical sensors (112) real time outputting a sensor signal (114) sensor data indicating a sequence of three-dimensional views of the monitored area over a monitoring time. A processor unit (120) receives the sensor signal and determines, based on indicated three-dimensional views, a person's center of weight (121), a geometric reference value (123), and a geometric distance (D) between the center of weight and the geometric reference value and automatedly monitors the determined geometric distance in real time over a monitoring time and calculates a current position stability (127) as a function of the currently determined geometric distance and geometric distances determined within a past analysis time interval and outputs a position stability signal (129).

Abstract: A medical device arrangement (100) tests processing of data sets to be processed during operation of the medical device arrangement. The arrangement includes a data interface (110), analysis modules (120) and a test module (130). The analysis modules process a received medical data set (105). Each analysis module (122, 123, 124) forms a processing instance (390) for the medical data set or for the medical data set (125, 125?) already preprocessed by at least one other analysis module. The test module outputs a test data set (132) to one of the analysis modules during operation such that this analysis module processes the test data set in the same manner as the medical data set. The test module compares a correspondingly outputted, processed test data set (134) with a reference result (136) associated with the test data set and determines a test result (137) based on this comparison.

Abstract: A medical system (100), for providing a treatment recommendation (105), includes an archiving module (110) providing a structured patient archive (130) with a respective patient data set (132) for each of several patients. The patient data set indicates a course of treatment (520) and a treatment result (530) of the corresponding patient. At least one digital patient profile (134), indicating features of the treatment course (542, 542?, 542?) and treatment result (544), is assigned to the patient data set. A processing module receives current patient data (142) recorded by an external medical device (140) and determines a current patient data set (124) with a corresponding current digital patient profile (125) and compares the current digital patient profile with the stored digital patient profiles of the archiving module and determines the treatment recommendation based on this comparison and outputs a treatment signal (128) that indicates the determined treatment recommendation.

Abstract: Data streams are received from each of the plurality of sensors. These data streams comprise varying values generated by the sensors and characterize an associated physiological parameter. A parameter score is repeatedly determined for each physiological sensor that is based on whether the varying values for the associated physiological parameter deviate from at least one pre-defined threshold. A patient health index is repeatedly generated by combining each of the determined parameter scores to characterize an overall health of the patient. Data characterizing the patient health index is repeatedly provided. Related apparatus, systems, techniques and articles are also described.

Abstract: A method for monitoring a patient (22a) within a medical monitoring area (100) by means of a monitoring system (200) with a depth camera device (210). The method includes the following steps: generating a point cloud (30) of the monitoring area (100) with the monitoring system (200); analyzing the point cloud (30) for detecting predefined objects (20), especially persons (22); determining a location of at least one detected object (20) in the monitoring area (100); and comparing the determined location of the at least one detected object (20) with at least one predefined value (40) for the location of this detected object (20).

Abstract: Exemplary embodiments provide a device (10), a process and a computer program for detecting optical image data of a patient positioning device (100). The device (10) is configured to detect optical image data of a patient positioning device (100) and to determine a position of at least one lateral limitation (110) of the patient positioning device (100) based on the image data. The device (10) is configured to determine at first a position of art least one partial segment (120) of the patient positioning device (100) based on the image data, and to determine the position of the at least one lateral limitation (110) of the patient positioning device (100) based on the position of the at least one partial segment (120).

Abstract: A system (100) monitors a position stability of a person (105) located on a patient positioning device (104) within a medical setting monitored area (108) and includes a sensor unit (110) with optical sensors (112) real time outputting a sensor signal (114) sensor data indicating a sequence of three-dimensional views of the monitored area over a monitoring time. A processor unit (120) receives the sensor signal and determines, based on indicated three-dimensional views, a person's center of weight (121), a geometric reference value (123), and a geometric distance (D) between the center of weight and the geometric reference value and automatedly monitors the determined geometric distance in real time over a monitoring time and calculates a current position stability (127) as a function of the currently determined geometric distance and geometric distances determined within a past analysis time interval and outputs a position stability signal (129).

Abstract: A measuring apparatus (1), for the contactless determination of a temperature (T) of an object (100), e.g., of a human, has an infrared camera (10) with a focus (11). A calibrating device (30) is connected to the infrared camera (10) via a data link. The calibrating device (30) has an outer shell (31) with an emissivity on the outside similar to that of the object (100). A temperature sensor (34) is arranged in the outer shell (31). Moreover, a method for contactless determination of a temperature (T) of an object (100) with the measuring apparatus (1) as well as a method for the operation of the measuring apparatus are provided.

Abstract: A process, a device and a computer program classify activities of a patient (100) based on image data of the patient (100) in a patient positioning device (110). The process (10) includes a detection (12) of an activity of the patient (100) based on the image data and a determination (14) of classification information for the activity from the image data. The classification information includes at least information on whether the detected activity of the patient (100) was elicited actively by the patient (100) or passively by an outside effect. The process (10) further includes a provision (16) of information on the activity and of the classification information.