Abstract: A computer-implemented method for providing information about a state of health of a patient may include: receiving a plurality of patient information of the patient by means of an interface, ascertaining health information about the patient by means of a computing unit as a function of the plurality of patient information and a first function, and checking whether a trigger condition is fulfilled based on the ascertained health information about the patient, as well as providing the ascertained health information about the patient as a function of the trigger condition.

Abstract: Methods and apparatuses are provided for identifying possible further (histo)pathological examinations from already existing histopathological examination results with a computer-implemented and automated analysis. The already existing histopathological examination results in this case are available in the form of a histopathology dataset. The histopathology dataset has one or more first histopathology slide images, which each show a first tissue slide prepared from a tissue sample of a patient and stained with a first histopathological staining. Via an analysis algorithm examination information is established based on the histopathology dataset, with the examination information having a specification for carrying out a further (histo)pathological examination of the patient, in particular by a user making an appraisal.

Abstract: A computer-implemented method and apparatus are for processing medical cases. In an embodiment, the data set that is assigned to a medical case is received. A priority for processing the medical case is then determined for the medical case by applying to the data set trained functions that have been trained using training data sets and relevant known training priorities.

Abstract: Methods as well as systems are provided for analysis of histopathology image data. In an embodiment, a method, for provision of similarity information regarding different histopathology images of a patient, includes: provisioning first histopathology image data, based on a tissue sample taken from a patient at a first point in time; provisioning second histopathology image data, based on a tissue sample taken from the patient at a second point in time, different from the first point in time; analyzing, using an image processing algorithm, the first histopathology image data and the second histopathology image data for a similarity between at least one region from the first histopathology image data indicating a pathological appraisal and at least one region from the second histopathology image data indicating a pathological appraisal; determining similarity information based on the analyzing of the image processing algorithm for the similarity; and provisioning the similarity information determined.