Abstract: A method is for determining a further data block. An embodiment of the method includes receiving a further timestamp transaction via a first interface, including a hash of a dataset and a further verification time; receiving a distributed ledger via the first interface, including data blocks; determining via a first computation unit, a first time by querying a time server; performing via the first computation unit, a first check based on the first time and the further verification time; and determining via the first computation unit, upon first check being positive, the further data block based on the distributed ledger, the further data block including the further timestamp transaction. A block creation system is also included in another embodiment, for determining a further data block, the system including a first interface and first computation unit.

Abstract: Methods are disclosed for setting up a microservice, enhancing a ledger of microservices with a further microservice and accessing medical datasets stored in a microservice. The microservice contains the medical dataset in an encrypted form. The microservice includes an access logic based on accessing entity information. The access logic defines access conditions to the medical dataset and is configured to grant access to the medical dataset upon the access conditions being fulfilled.

Abstract: Techniques are described for providing image-based operational decision support. The technique includes providing initial imaging data from a preceding examination of a patient, determining clinical findings by automated processing of the initial imaging data, generating decision data at least comprising a decision whether a further recording of a number of images is necessary, and generating a suggested set of imaging parameter values for recording this number of images. The decision data may be based on the determined clinical findings, and the technique may further include outputting the suggested set of imaging parameter values for recording a number of images of the patient. Also described are a related clinical decision system, a decision module, and a related medical imaging system.

Abstract: Techniques are described for providing image-based operational decision support. The technique includes using a decision engine configured to generate output data based on a determined number of clinical findings in medical images of a patient. The decision module is configured to generate decision data depending on position data defining an actual position of the patient in a predefined clinical guideline, which comprises a set of possible next steps subsequent to the actual position. The decision data comprises information indicating which next steps from the set of possible next steps of the clinical guideline should be performed. The disclosure further describes a related method, a clinical decision system, and a related medical imaging system.

Abstract: A medical recommendation system includes a computing device. The device is configured to implement a patient data receiving module configured to receive medical patient data pertaining to a patient; to implement a clinical trial data receiving module configured to receive clinical trial data; and to implement a medical guideline receiving module configured to receive a medical guideline in a basic version, represented by a basic connected directed graph (BCDG) including a plurality of nodes representing medical actions; to implement a guideline adapting module configured to determine whether the patient fulfils criteria of at least one clinical trial based on the received medical patient data and the received clinical trial data and to adapt, upon the patient fulfilling the criteria, the BCDG to provide an adapted connected directed (ACDG) graph by integrating at least one additional node into the BCDG; and to implement an output module configured to output the ACDG.

Abstract: A method is for providing a uniform resource locator. In an embodiment, the method includes receiving a medical data record via an interface, the medical data record being related to a patient; determining the uniform resource locater related to the medical data record via a computation unit, the uniform resource locator including an authorization token based on the medical data record, the medical data record being accessible by following the uniform resource locator; and providing the uniform resource locator with the interface to the patient. By providing a uniform resource locator of an embodiment including an authorization token, access to the medical data record can be granted fast and efficient, e.g. by a patient forwarding the uniform resource locator to another entity (e.g. a physician), while at the same time non-authorized entities cannot access the medical data record due to their lack of the suitable authorization token.

Abstract: A method is for determining a further data block. An embodiment of the method includes receiving a further timestamp transaction via a first interface, including a hash of a dataset and a further verification time; receiving a distributed ledger via the first interface, including data blocks; determining via a first computation unit, a first time by querying a time server; performing via the first computation unit, a first check based on the first time and the further verification time; and determining via the first computation unit, upon first check being positive, the further data block based on the distributed ledger, the further data block including the further timestamp transaction. A block creation system is also included in another embodiment, for determining a further data block, the system including a first interface and first computation unit.

Abstract: A system operable to transmit healthcare data to a user device is provided. The system maintains data representing a first directed graph, representing at least part of a medical guideline, in a database and a plurality of patient models including healthcare data. An element is selected from the first directed graph by processing the models and the data. Based on a combination of the selected element and the plurality of patient models, a first and second patient cohort are identified, treatment of the first patient cohort having deviated from the at least part of a medical guideline at the selected element. At least one patient cohort characteristic distinguishing the first patient cohort from the second patient cohort is determined by processing the patient models. A second directed graph is generated, based on at least the at least one identified patient cohort characteristic, and transmitted for receipt by the user device.

Abstract: A computer-implemented method for sharing medical information includes receiving a first genomic data set, the first genomic data set being generated at a first site; comparing the first genomic data sets with a plurality of second genomic data sets stored in a database external to the first site; and identifying, amongst the second genomic data sets, one or more reference genomic data sets, based upon determining a similarity between first genomic data set and one or more of the second genomic data sets. The method further includes dispatching a notification to the first site indicative of the one or more reference genomic data sets.

Abstract: A computer-implemented method and a system are for performing or supporting a medical task. An embodiment of the method includes obtaining a medical task and obtaining values for data fields of a number of available data fields. The method further includes determining whether an insufficient data field is present; and, if such a field is present, determining a relevance metric for the medical task, for the insufficient data field and/or the value thereof. Further, the method includes providing, via an estimator function, at least two different values for the insufficient data field; calculating at least two results for the medical task, which are based on the at least two different values provided; determining whether the relevance metric determined reaches or exceeds a relevance threshold value and, if this is the case, outputting an output signal based on the at least two results calculated.

Abstract: A method is for inserting a further data block into a first ledger, the first ledger including data blocks. In an embodiment, the method includes receiving a further medical dataset via an interface; determining the further data block via a calculation unit. The further data block includes the further medical dataset and a further link information. The further link information includes a hash of at least one of the data blocks of the first ledger. Finally, in an embodiment the method includes inserting the further data block into the first ledger via the calculation unit.

Abstract: Methods are disclosed for setting up a microservice, enhancing a ledger of microservices with a further microservice and accessing medical datasets stored in a microservice. The microservice contains the medical dataset in an encrypted form. The microservice includes an access logic based on accessing entity information. The access logic defines access conditions to the medical dataset and is configured to grant access to the medical dataset upon the access conditions being fulfilled.