The aim of this paper is always to gather requirements on modelling languages and tools in healthcare, create models for one for the QI-KA task’s QI and lastly evaluate all of them. We successfully showed that BPMN and DMN could be used to model cross-sector QI in a formal option to prepare for conformance checking. The field of application could be extended with other health places. To improve quality in healthcare, results from models and conformance-checking must be discussed in interdisciplinary groups.We successfully showed that BPMN and DMN could be used to model cross-sector QI in a formal solution to get ready for conformance checking. The world of application are extended with other medical areas. To boost quality in health, effects from models and conformance-checking ought to be discussed in interdisciplinary teams.In this report we describe a cost-effective design for the improvement of telemedicine programs through a two components concept. A standard smartphone has a little unit containing various filter choices, which offer particular spectral information when it comes to identification of skin surface damage. By merging the assessed spectra, a higher data density and much more information can be acquired utilizing an ANN to improve an earlier analysis of skin damage through telemedicine programs in remote areas.Fatigue is one of prevalent Long-COVID symptom. Individuals who are impacted need to learn how to organize and manage daily activities in line with the subjectively observed power reserves. Our goal would be to develop a credit card applicatoin, Fading Fatigue, that supports customers in their power management, in certain after a preliminary therapy directed by health professionals. Fading exhaustion was created in an iterative approach and implemented as a client-server application. Interviews and a literature search were carried out to determine restrictions and challenges of the current treatment. Fading Fatigue offers a few tools for power administration an everyday energy planner, a documentation help for wellbeing and a progress view. Future work should study functionality. Inclusion of additional features increasing the adherence such as supplying feedback might be considered.Radiologists rarely connect to the patients whose radiological pictures they’re reviewing because of some time resource limitations. Nevertheless, relevant information on the patient’s medical background could improve stating performance and high quality. In this work, our objective was to collect requirements for a digital health interview assistant (DMIA) that collects the health background from clients in the form of a conversational representative and structures also gives the collected data to radiologists. Needs were gathered considering a narrative literary works review, an individual survey and input from a radiologist. Centered on these results, a method design for the DMIA was developed. 37 useful and 17 non-functional needs had been identified. The ensuing design comprises five components, namely Chatbot, All-natural language handling (NLP), Administration, Content Definition and Workflow motor. To be able to quickly adapt the chatbot content according to the information requirements of a specific radiological evaluation, there clearly was a need for establishing a sustainable procedure for the content generation that considers standardized data modelling in addition to rewording of medical language into customer health language clear to a varied patient user group.The Austrian nationwide EHR system ELGA can contribute valuable information for research due to its high volume of data and broad population coverage. In order to be appropriate in international studies, change to a standardized, research-oriented information model like the OMOP typical data model is vital. In this report we describe our experience with the corresponding change task. Making use of Python scripts, we implemented a prototypical process that extracts, transforms, maps, and loads completely organized areas of ELGA papers to an OMOP database.In order to execute in vitro cardiotoxicity evaluating of pharmacological substances, multi-electrode variety systems tend to be progressively made use of to measure the extracellular area potentials of mobile layers of person induced pluripotent stem cellular cardiomyocytes. The analysis associated with field potentials is normally performed making use of complex analysis computer software provided by the equipment manufacturers. In the case of Molecular Diagnostics the Cardiac testing appliance software from Axion Biosystems, inconsistencies had been based in the results, that could substantially influence the cardiotoxicity testing check details results. In order to obtain much more dependable outcomes, a unique algorithm was developed and implemented in an easy-to-use software tool, the INCardio Data testing appliance, which, due to its high level of automation, can also be used by inexperienced people. The validation reveals variations in the outcomes associated with the two resources in both depolarization increase amplitudes and in the time span of the field potential durations. The handbook analysis of all signals suffering from deviations suggests that the results associated with newly created Hepatic encephalopathy Data Analysis Tool are correct in most cases and may therefore be classified much more precise and trustworthy as compared to reference evaluation software.