Abstract: A method for compressing digital breast tomosynthesis data, a system and a control unit for image reconstruction of three-dimensional digital breast tomosynthesis volumes (DBT). The volume to be reconstructed is analyzed in order to identify clusters of regions in the volume with a low and high degree of diagnostically relevant information. Depending on the affiliation or belonging to a certain cluster, a specific reconstruction algorithm and a specific slab thickness are determined in order to be used for reconstruction of the cluster. Thus, different clusters are reconstructed differently.

Abstract: A method is proposed for determining clinical study compliance. The method includes obtaining criteria for the clinical study and accessing stored clinical data relating to the clinical study. Thereafter, the criteria and clinical data are correlated to determine a measure of compliance with the criteria of the clinical study.

Abstract: A method is proposed for determining clinical study compliance. The method includes obtaining criteria for the clinical study and accessing stored clinical data relating to the clinical study. Thereafter, the criteria and clinical data are correlated to determine a measure of compliance with the criteria of the clinical study.

Abstract: A method for compressing digital breast tomosynthesis data, a system and a control unit for image reconstruction of three-dimensional digital breast tomosynthesis volumes (DBT). The volume to be reconstructed is analyzed in order to identify clusters of regions in the volume with a low and high degree of diagnostically relevant information. Depending on the affiliation or belonging to a certain cluster, a specific reconstruction algorithm and a specific slab thickness are determined in order to be used for reconstruction of the cluster. Thus, different clusters are reconstructed differently.

Abstract: A method is proposed for determining clinical study compliance. The method includes obtaining criteria for the clinical study and accessing stored clinical data relating to the clinical study. Thereafter, the criteria and clinical data are correlated to determine a measure of compliance with the criteria of the clinical study.

Abstract: A method is proposed for determining clinical study compliance. The method includes obtaining criteria for the clinical study and accessing stored clinical data relating to the clinical study. Thereafter, the criteria and clinical data are correlated to determine a measure of compliance with the criteria of the clinical study.

Abstract: A method is proposed for determining clinical study compliance. The method includes obtaining criteria for the clinical study and accessing stored clinical data relating to the clinical study. Thereafter, the criteria and clinical data are correlated to determine a measure of compliance with the criteria of the clinical study.

Abstract: A method is for automated recording of patient actions, for example in the course of telemedical care, in the course of clinical studies for the merit of a form of therapy or for trialing the effectiveness of drugs. The medical equipment or devices used in this context are provided with recording devices for identifying the patient so that the data obtained during use of the equipment or accessories can automatically be attributed to the patient in question.

Abstract: A volumetric flow of an analyte, including exhaled air, is fed to a gas sensor unit by used of gas flow device, which can include various sensors for the determination of nitrogen oxides. An oxidation catalyst is used when using an NO2 sensor, which converts nitrogen monoxide to nitrogen dioxide and the gas sensor unit measures the content of nitrogen dioxide. The nitrogen monoxide content is calculated from the nitrogen dioxide content. In order to eliminate cross-sensitivity moisture and ethanol are also measured. The device can be applied to the determination of nitrogen monoxide content of exhaled air.

Abstract: A method is for verifying the feasibility of a medical study using acceptance criteria for patients. The method includes defining target criteria for the study. Based on the acceptance criteria, a patient collective including potential patients is selected from a database containing patient data of patients. The patient data of the patient collective are evaluated based on the target criteria. Finally, a measure for the feasibility of the study is established.

Abstract: A method is disclosed for carrying out quality control of medical data records collected from different but comparable patient collectives within the bounds of a medical plan. In the method, for each data record, a quality control parameter assigned thereto is determined in the same manner. Further, the quality control parameters are evaluated using comparison criteria.

Abstract: A method is disclosed for verifying whether an implementation rule assigned to a medical procedure has been observed. The method includes: data correlated with the procedure is automatically entered and stored in a data processing device; test criteria for the data, which are correlated with the implementation rule, are stored in a test system; the procedure is implemented; the test system reads out the data from the data processing device; and the test system evaluates the data based on the test criteria and determines to what degree the implementation rule has been observed.

Abstract: A method is for evaluating the quality of electronically stored, particularly medical, knowledge data. The knowledge data are stored in a database; quality data correlated with the knowledge data are stored in the database, and; when a user accesses the knowledge data, the quality data are automatically provided to the user.

Abstract: During a method for selecting a potential participant for a medical study on the basis of a selection criterion, patient data assigned to a patient are electronically stored. A secondary criterion is assigned to the selection criterion. The patient data are electronically evaluated on the basis of the secondary criterion. Based on this electronic evaluation, a measure for fulfilling the selection criterion is determined for the patient associated with the patient data. The patient is selected as a potential participant on the basis of this measure.

Abstract: A method is disclosed for performing a clinical study on a patient. The study-related or patient-related data is stored in a memory during the study. The memory is readable by a physician who is foreign to the study and is associated with the patient. An information system for a clinical study on a patient encompasses a memory for study-related or patient-related data, which is allocated to the patient, a data input device for storing data in the memory, and a data reading device for reading out the data from the memory. The data reading device is accessible to a physician who is foreign to the study and is associated with the patient.

Abstract: A method is disclosed for conducting a clinical study according to which an event occurs during the study that requires a collaboration of individuals responsible for the study. The method includes transmitting the event to a collaboration system. The collaboration system determines, based on parameters assigned to the event, a group of individuals responsible for the study required for the collaboration. The collaboration system provides a communications platform for the group. The group carries out the collaboration while using the communications platform. Finally, the collaboration system verifies the collaboration on the basis of predetermined verification criteria.

Abstract: A method is disclosed for selecting a participant in a medical project with selection criteria for patients. The method includes verifying patient data, that is contained in a data processing system and is associated with patients, regarding the selection criteria. The patient associated with the patient data is selected as a participant if the selection criteria are met.

Abstract: A method is for linking sets of data including medical therapeutic indications. According to the method, the respective set of data of a therapeutic indication is provided with at least one output while a reference regarding a therapeutic indication that follows in a treatment process is allocated to an output such that any link can be created between therapeutic indications which succeed each other in a meaningful manner in the treatment process.

Abstract: A quality control system in disease management services for the enlightenment, development and motivation of patients in conjunction with telemonitoring of critical body values and, resulting from this, early recognition of risk situations, wherein random generators are used to create a virtual patient from the admissible patient data, wherein a random selection is made from the available hardware components, and wherein, likewise randomly generated, a random event is selected from a list of possible events in the disease management process, the system reaction when this event is run through being assessed by an expert system by using the reference responses known to the system in order to trace errors.

Abstract: Quality control system in Disease Management Services involving education, development and motivation of patients suffering from widespread chronic diseases, such as diabetes, asthma or hypertension, possibly involving telemonitoring of critical body values and resultant early identification and avoidance of risk situations, where an automatic delivery monitoring facility is provided which monitors the receipt of all messages and information by the patients and, if appropriate, informs a control station in order to eliminate access problems.