Special_Issue_Teaching_and_Training_Future_Health_Informaticians: Managing the transition from tradition to innovation of the Heidelberg/Heilbronn Medical Informatics Master's Program.

Background: To keep pace with the developments in the medical informatics field, the curriculum of the Heidelberg/Heilbronn Medical Informatics Master of Science program is continuously updated. In its latest revision we restructured our program to allow more flexibility to accommodate updates and include current topics and to enable students' choices.

Objectives: To present our new concepts for graduate medical informatics education, share our experiences, and provide insights into the perception of these concepts by advanced students and graduates.

Usability and User Experience of an mHealth App for Therapy Support of Patients With Breast Cancer: Mixed Methods Study Using Eye Tracking.

Background: Early identification of quality of life (QoL) loss and side effects is a key challenge in breast cancer therapy. Digital tools can be helpful components of therapeutic support. Enable, a smartphone app, was used in a multicenter, prospective randomized controlled trial in 3 breast cancer centers.

Architecture of the Mass Spectrometry Data Management Pipeline in the SMART-CARE Project.

In the SMART-CARE project- a systems medicine approach to stratification of cancer recurrence in Heidelberg, Germany - a streamlined mass-spectrometry (MS) workflow for identification of cancer relapse was developed. This project has multiple partners from clinics, laboratories and computational teams. For optimal collaboration, consistent documentation and centralized storage, the linked data repository was designed.

Next-generation study databases require FAIR, EHR-integrated, and scalable Electronic Data Capture for medical documentation and decision support.

Structured patient data play a key role in all types of clinical research. They are often collected in study databases for research purposes. In order to describe characteristics of a next-generation study database and assess the feasibility of its implementation a proof-of-concept study in a German university hospital was performed.

Automated calculation of ontology-based planning proposals: An application in reconstructive oral and maxillofacial surgery.

Background: Structured modelling of surgical knowledge and its automated processing is still challenging. The aim of this work is to introduce a novel approach for automated calculation of ontology-based planning proposals in mandibular reconstruction and conduct a feasibility study.

Methods: The presented approach is composed of an RDF(S) ontology, a 3D mandible template and a calculator-optimiser algorithm to automatically calculate reconstruction proposals with fibula grafts.

Proposing a Novel Hybrid Short-Term Exchange Program in Biomedical and Health Informatics Education.

International student exchange is a valuable opportunity for Biomedical and Health Informatics students to gain new perspectives and experiences. In the past, such exchanges have been made possible through international partnerships between universities. Unfortunately, numerous obstacles such as housing, financial concerns, and environmental implications related to travel, have made it difficult to continue international exchange.

Towards Data Analysis Environment for Multi-Partner Clinical Research Project - SMART-CARE.

A Systems Medicine Approach to Stratification of Cancer Recurrence (SMART-CARE) establishes mass spectrometry-based systems medicine technologies and data analysis pipelines employing expertise of the multiple partners from Heidelberg biomedical campus. We have established a central linked data repository that links clinical, mass spectrometry, and data analysis teams to enable a full cycle of data management. Other questions of setting up the data analysis environment for the multi-partner clinical research project are addressed in this work, too.

Large-File Raw Data Synchronization for openBIS Research Repositories.

In a systems medicine research consortium, openBIS is used as a research data repository. To facilitate efficient upload of large files, openBIS is complemented by a Nextcloud data cloud system. Using a Nextcloud client, raw mass spectrometry data is automatically imported into the repository in the background, enabling comprehensive data provenance.

Measurement Performance of Activity Measurements with Newer Generation of Apple Watch in Wheelchair Users with Spinal Cord Injury.

Background: The level of physical activity (PA) of people with spinal cord injury (SCI) has an impact on long-term complications. Currently, PA is mostly assessed by interviews. Wearable activity trackers are promising tools to objectively measure PA under everyday conditions.

Data Management for Systems Medicine: The SMART-CARE Joint Environment.

For a research project on mass spectrometry, a streamlined, harmonized and robust analytical pipeline is built to predict tumor recurrence. By means of standardization all steps from sample collection, analysis, proteome, and metabolome analysis are harmonized. Challenges like non-central identificators and distributed data are overcome with a centralized high-performant IT-platform in combination with a pseudonymization service and harmonization.

Digital teaching as an instrument for cross-location teaching networks in medical informatics: opportunities and challenges.

The increasingly digitized healthcare system requires new skills from all those involved. In order to impart these competencies, appropriate courses must be developed at educational institutions. In view of the rapid development of new aspects of digitization, this presents a challenge; suitable teaching formats must be developed successively.

eHealth and Clinical Documentation Systems.

eHealth is the use of modern information and communication technology (ICT) for trans-institutional healthcare purposes. Important subtopics of eHealth are health data sharing and telemedicine. Most of the clinical documentation to be shared is collected in patient records to support patient care.

Hospital Information Systems.

Hospital information systems (HIS) have to be considered as socio-technical systems, which consist of technical components as well as of the human aspect like hospital staff and patients. HIS strive for the optimization of information logistics, to support tasks like patient care and administration of a hospital. To systematically manage such complex systems, HIS can be analyzed on three layers: First, tasks and entity types should be considered.

Current Use of Sensor-Based Measurements for Paraplegics: A Literature Review.

Sensors are used in many fields to measure physical phenomena, often on mobile persons. Paraplegia is a disease with a massive impact on the ability to move, so patients show changes in walking behaviour or are even wheelchair users. It is unclear how sensors can be used with paraplegics to generate valid data for research.

On the Construction of Multilingual Corpora for Clinical Text Mining.

The amount of digital data derived from healthcare processes have increased tremendously in the last years. This applies especially to unstructured data, which are often hard to analyze due to the lack of available tools to process and extract information. Natural language processing is often used in medicine, but the majority of tools used by researchers are developed primarily for the English language.

A Framework for Enhancing and Updating Study Programs in Public Health and Medical Informatics Fields in Montenegro.

Montenegro plans to enhance and modernize the curricula and programs in public health fields in line with EU standards and hence the Erasmus-Phelim project developed a framework to develop, implement, and evaluate the education process. A stepwise approach consisting of three dimensions per step was implemented for workshop development. For the evaluation, a train-the-trainer approach was developed and a self-regulation concept consisting of three phases was applied.

Development of a Research-Based Teaching Course as Blended-Learning Format in a Medical Informatics Program.

We consider Medical Informatics programs at universities as one of the main education resources for young scientists in our field and thus present a new design for a course teaching scientific skill at the University of Heidelberg as blended-learning format. We utilize common E-learning methods and created the whole course with respect to the concept of research-based teaching. Finally, we present our lessons learned from the current activities of the course.

Using FAIR Metadata for Secondary Use of Administrative Claims Data.

The FAIR principles require the reporting of rich metadata. However, when researchers use data for secondary use from external data owners, the FAIR principles require a different implementation as if the researchers would describe their own data. In this paper, we specify how FAIR metadata can be implemented for secondary data analyses and provide a suggestion for relevant metadata.

A Mobile Application for Patient Engagement to Support Interdisciplinary Care.

There is evidence on interrelationships between several dental and chronic diseases. However, dentists and general practitioners often lack information when treating such multimorbid patients. Engagement of the patient in the decision making process may help to fill this gap and improve intersectoral care.

A Concept for Graph-Based Temporal Similarity of Patient Data.

Computer-based decision support systems are often used for dedicated tasks such as the detection of sepsis. However, positive predictive values for sepsis detection are reported to achieve only around 46%. In this paper we describe a novel approach to use temporal data of electronic patient records based on similarity measures.

Development of an HL7 FHIR Architecture for Implementation of a Knowledge-based Interdisciplinary EHR.

The treatment of multimorbid patients confronts physicians with special challenges. Complex disease correlations, insufficient evidence, lack of interdisciplinary guidelines, limited communication between physicians of different specialties, etc. complicate the treatment.

The Stratified Framework for Enhancement of Study Programs in Public Health in Montenegro.

Montenegro plans to enhance its educational system in the area of health information management, in accordance with well-known EU best practices. Within the Erasmus+ project PH-ELIM, a Stratified Framework was developed to provide education of public health professionals making them highly skilled to support the nation in creating a sustainable and flexible health system, in providing good quality health, in protecting citizens against health threats, all by a cost-effective and straightforward approach. The objective of this presentation is to present the intermediate results of the Framework and lessons learned until now.

A Predictive Model for Patient Similarity: Classes Based on Secondary Data and Simple Measurements as Predictors.

Predictive models optimized for average cases might work not perfect for cases deviating from average because they are based on a cohort of all patients. Models could be more personalized if they were built on a sub-cohort of patients similar to a current one and to train models on data collected from those similar patients. In this paper, we consider patient similarity as a classification task.