{"id":92,"date":"2025-02-18T13:13:30","date_gmt":"2025-02-18T12:13:30","guid":{"rendered":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/?page_id=92"},"modified":"2025-02-18T13:14:56","modified_gmt":"2025-02-18T12:14:56","slug":"curriculum","status":"publish","type":"page","link":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/my-studies\/curriculum\/","title":{"rendered":"Curriculum"},"content":{"rendered":"\n
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Current Curriculum<\/h2>\n <\/div>\n
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\n 1. Semester<\/span>\n \n\n<\/svg> <\/h4>\n <\/a>\n \n \n
\n \n Health Sciences 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415105<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Public Health and Evidence Based Medicine<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Population-related diseases and health resources, health reporting, population health (indicators, concepts, results), mortality and morbidity trends, health policy, prevention and health promotion, evidence-based medicine (EBM)\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Management and Law 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415103<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Chang-Management for eHealth<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n General management models\nImportance of change management in the eHealth sector and contextual factors in the healthcare sector (such as challenges of digitization)\nTheories and models of change management. Phases of a change process (analysis phase, planning phase, implementation phase and evaluation phase).\nDealing with resistance (types of resistance and strategies for overcoming it)\nIn-depth questions in dealing with multi-stakeholder systems in the healthcare sector. Psychological mechanisms in change processes\nGuest lectures by experts from the healthcare sector with management experience\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Management and Law 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415104<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Data Analysis and Business Intelligence<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Introduction to data analysis and the importance of BI in healthcare,\nStatistical methods of data analysis with Python or R (exploratory data analysis, association measures, hypothesis tests, analysis of variance)\nData integration and modeling (data sources in healthcare, data quality and cleansing, data harmonization, data warehouse, data lake, ETL and ELT process, OLAP)\nReporting and visualization (BI tools, key figures in healthcare, visualization of health data, dashboards, storytelling with data)\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Projects 1 |\n Project Thesis\n (PA)\n | Coursecode:\n M250415101<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Introductory Project<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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0.50<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n The course is designed to introduce students to a specific eHealth project topic as quickly as possible at the beginning of their studies. Ideally, project assignments from the Bachelor’s degree program in Health Informatics \/ eHealth will be expanded to include additional assignment points (change requests).\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Scientific Qualification 1 |\n Seminar\n (SE)\n | Coursecode:\n M250415107<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Cognitive Academic Language Proficiency<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Development of scientific formats relevant to the subject area: poster, data sheet, summary, abstract, critical review, paper. Characteristics of scientific texts in combination with efficient reading techniques. Scientific literature research. Support from AI tools in scientific work.\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n eHealth Concepts 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415102<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Medical Standards and Semantic Interoperability<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Theoretical foundations of classification systems (classifications, nomenclatures, ontologies, …)\nOverview of classification systems and their applications for medical and nursing documentation (ICD-10, LOINC, DICOM, CDISC, ICPC-2, NANDA, ICF, ATC, …) as well as for other eHealth applications.\nIn-depth aspects of the standards that are important for ELGA\nBasic tools for integrating information sources\nAnalysis of complex, interdisciplinary use cases in medicine\nDevelopment of conceptual, semantically interoperable solutions for use cases\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n eHealth Concepts 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415106<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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User Centeres Design for eHealth<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n UX – Management\nUser Centered Design Process applied in practice\nUX – Problems in the software development process and how to avoid them\nDesign Systems\nThe usability test remotely and on-site\nBasics of Interaction Design (IxD)\nBasics of Information Design\nCommon AI systems and their possibilities in the design process\n <\/div>\n\n <\/div>\n <\/button>\n
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Specialisation Digital Health Technologies:<\/h5>\n <\/div>\n \n
\n \n Digital Health Technologies 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415109<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Use cases for eHealth<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n General overview of healthcare professions and their roles and tasks in the various care sectors\nStarting points for technological improvements\nData and documentation needs in care\n <\/div>\n\n <\/div>\n <\/button>\n <\/div>\n <\/div>\n <\/div>\n
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\n 2. Semester<\/span>\n \n\n<\/svg> <\/h4>\n <\/a>\n \n \n
\n \n Health Sciences 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415203<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Epidemiology and Clinical Research<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Nature and applications of epidemiology and clinical research, significance for eHealth, frequency measures in epidemiology: ratios, proportions, rates. Measurement of health and disease (incidence and prevalence), other concepts such as: number needed to treat, relative risk, etc. Overview of the most important epidemiological and clinical study types, statistical aspects such as stratification, bias, confounding, effect modification, multivariate models, meta-analyses. Basics of mathematical modeling of epidemics (SIR model, reproduction number), correlation and causality\nRegulatory requirements for clinical studies and their significance for the approval of eHealth applications as medical devices, DIGA or similar.\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Scientific Qualification 2 |\n Seminar\n (SE)\n | Coursecode:\n M250415205<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Journal Club 1<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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1.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Scientific publications are determined in advance and read by everyone involved. For each paper or similar, there are mentors from the teaching staff. The students subject these publications to a critical evaluation and present their results in groups to the class and in the presence of the mentors.\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n eHealth Concepts 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415201<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Data Science for eHealth<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Basics of data science in healthcare\nAdvanced statistical methods (analysis of variance, multiple linear and logistic regression analysis)\nBasics of machine learning (supervised, unsupervised and reinforcement learning)\nMachine learning algorithms (regression and classification, cluster analysis, dimensionality reduction, decision trees, random forest, support vector machine, neural networks)\nModel selection and evaluation (selection of relevant features, feature engineering, performance metrics)\nAnalysis of time series (visualization, moving average, pattern recognition, anomaly detection)\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n eHealth Concepts 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415202<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Electronic Health Records<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Introduction to electronic health records, history and evolution of EHRs, differences between paper records and EHRs, overview of EHR functions: clinical documentation, order entry, decision support, and research data integration.\nArchitecture and technologies of EHR systems, introduction to openEHR: architecture, archetypes, and templates.\nIntroduction to OMOP (Observational Medical Outcomes Partnership)\nOverview of CDISC (Clinical Data Interchange Standards Consortium): basic models (SDTM, ODM) and their application in clinical research.\nIn-depth look at openEHR: standardized approaches to clinical information modeling and persistent data storage.\nCase studies: integrating HL7, FHIR, CDISC, openEHR, and OMOP to harmonize EHR and research data.\nPrivacy, data security, and ethical considerations\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n eHealth Concepts 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415204<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Telehealth applications<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Introduction to telehealth and mHealth, definition and delimitation: telemedicine, telehealth and mobile health solutions (mHealth).\nThe role of mHealth in modern healthcare and its impact on patient care.\nOverview of telehealth and mHealth technologies: mobile apps, remote patient monitoring and teleconsultations.\nEvolution and milestones of telehealth and mobile health solutions.\nHealth apps: development, usability, data collection and security.\nCloud infrastructure concepts: models (IaaS, PaaS, SaaS), scalability and data storage.\nWearable technologies: types, features, data collection and integration with healthcare apps.\nDigital biomarkers: definition, meaning and applications in remote monitoring and patient care.\nThe use of AI and machine learning in mHealth for predictive analytics and personalized healthcare solutions.\n <\/div>\n\n <\/div>\n <\/button>\n
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Specialisation Digital Health Technologies:<\/h5>\n <\/div>\n \n
\n \n Digital Health Technologies 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415208<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Clinical Decision Support Systems<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Introduction to decision theory, mathematical principles (logic, probability theory) and guidelines in hospitals.\nOverview of decision support systems: advantages and disadvantages or benefits and risks, basic functions, usability and legal framework\nSupplement.\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Digital Health Technologies 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415209<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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eHealth Infrastructure and Internet of Medical Things<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Definition and components of eHealth infrastructures. Overview of national and international strategies (e.g. ELGA in Austria, WHO eHealth Framework).\nIT basics for eHealth (networks, databases, data centers, cloud architectures).\nIntroduction to IoT and IoMT in healthcare. Integration of wearables, health apps and sensors into existing eHealth systems. Examples of data-driven decisions through IoMT (e.g. remote patient monitoring).\nChallenges in the area of \u200b\u200bcybersecurity and IoT security.\nDevelopment and implementation of eHealth infrastructures in Europe and worldwide.\nResearch trends in eHealth and IoMT (e.g. AI-supported diagnostics, digital biomarkers).\nDesign of a modular eHealth infrastructure with IoMT integration.\nSimulations on data security and interoperability\n <\/div>\n\n <\/div>\n <\/button>\n <\/div>\n <\/div>\n <\/div>\n
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\n 3. Semester<\/span>\n \n\n<\/svg> <\/h4>\n <\/a>\n \n \n
\n \n Management and Law 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415304<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Advanced Security and Privacy<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Introduction to information security\nHow symmetric and asymmetric encryption works and what it is used for\nHow hash functions work and what it is used for, MAC, digital signatures, digital certificates\nIntroduction to identity management\nPractical insights: Green Pass\nPractical insights: Application areas of blockchain\nIntroduction to business continuity management\nIntroduction to information security risk management\nIntroduction to information security management\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Management and Law 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415303<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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IT Law and Software as a Medical Device<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Introduction to IT law, basics of IT law, legal working techniques: legal thinking and argumentation, teaching legal methodology, comparative law.\nLegislation and legal sources: national legislation, European legislation, international norms and standards. Network and Information Security (NIS), General Data Protection Regulation (GDPR).\nSoftware as a medical device: classification of software, regulatory requirements, liability and product safety\nEU Artificial Intelligence Act (AI Act): introduction to the AI \u200b\u200bAct, requirements for AI systems in healthcare\nEuropean Health Data Space (EHDS): objectives and contents of the EHDS, legal requirements and challenges of the EHDS,\noutlook on new legislation, technological and regulatory trends\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Management and Law 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415301<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Reimbursement Systems in the Healthcare Sector<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Forms of remuneration such as individual service billing, flat-rate fees, variable budgets, flat-rate fees per person, etc. in the healthcare system and their incentive effects on the actors or service providers. Overview of remuneration systems in various sectors of the healthcare system (hospitals, primary care, private services, etc.). Insights into the design of fees and tariffs in Austria and comparable countries. Austria’s LKF system and international topics such as: DRG, DIGA, EBM, etc. Documentation and data requirements, billing processes.\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Scientific Qualification 3 |\n Seminar\n (SE)\n | Coursecode:\n M250415305<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Journal Club 2<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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1.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Scientific publications are determined in advance and read by everyone involved. For each paper or similar, there are mentors from the teaching staff. The students subject these publications to a critical evaluation and present their results in groups to the class and in the presence of the mentors.\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n eHealth Concepts 3 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415302<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Advanced SNOMED and FHIR<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Principles of FHIR: resources, RESTful API and extensions.\nData modeling with FHIR: resources, profiles and value sets.\nImplementation guidelines and FHIR servers.\nPractical applications: integrating FHIR into EHRs and healthcare apps.\nIntroducing SNOMED CT as a clinical terminology system.\nStructure: concepts, relationships and descriptions.\nMappings and integration with other standards (e.g. ICD, LOINC, ICPC-2).\nOther emerging interoperability standards\nIntegration of FHIR and SNOMED: challenges and solutions.\nCase studies: successful implementations in healthcare systems.\nCurrent research on healthcare standards and trends\n <\/div>\n\n <\/div>\n <\/button>\n
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Specialisation Digital Health Technologies:<\/h5>\n <\/div>\n \n
\n \n Digital Health Technologies 3 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n M250415309<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Artificial Intelligence in Health Care<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Introduction to AI and deep learning\nFundamentals of neural networks and deep learning (training algorithms, deep learning architectures, transfer learning, generative models)\nTraining and validation of AI models with health data (PyTorch \/ Tensorflow \/ Keras)\nTransparency and traceability of AI decisions (methods of explainable AI)\nSelected AI applications in healthcare (e.g. predictive models for disease progression, personalized risk assessment, medical image analysis, natural language processing (NLP) for medical texts and reports)\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Digital Health Technologies 3 |\n Project Thesis\n (PA)\n | Coursecode:\n M250415310<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Case Studies on Digital Health Technologies<\/h5>\n
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5.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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0.50<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Course in the field of study: “Digital Health Technologies”. In project groups, the technical issues selected in advance with stakeholders from the healthcare sector are analyzed and a technical solution is to be achieved at least with a proof of concept or using demonstrators or prototypes. The focus is on technical solutions for health apps, AI applications, BI solutions, terminology servers, health information systems, eHealth infrastructure topics, etc. Medical standards such as FHIR, HL7, IHE and other regulatory framework conditions must be observed.\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Digital Health Technologies 3 |\n Project Thesis\n (PA)\n | Coursecode:\n M250415311<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Master-Project<\/h5>\n
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7.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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1.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n A task relevant to eHealth is to be worked on by groups of students in the form of a project. The topics are either suggested by students in collaboration with a company specific to the industry or by the course from the teaching and research topics. The results can be prototypes, preliminary studies, feasibility studies or similar. The topic can also be further worked on in the master’s thesis.\n <\/div>\n\n <\/div>\n <\/button>\n <\/div>\n <\/div>\n <\/div>\n
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\n 4. Semester<\/span>\n \n\n<\/svg> <\/h4>\n <\/a>\n \n \n
\n \n Master's Thesis and Master's Examination |\n Master's Thesis\n (MA)\n | Coursecode:\n M250415401<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Master Thesis DTH<\/h5>\n
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25.00<\/h5>\n ECTS<\/span>\n <\/div>\n
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0.50<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Conducting a thesis, also at master’s level, on an eHealth topic that can be assigned to the “Digital Health Technologies” field of study. Topics can be suggested by students – preferably from the internship – or by teachers, possibly in collaboration with eHealth-related companies or institutions. The work must meet the scientific criteria that apply at the institute and must have a technical part that is at least designed as a demonstrator or prototype.\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Master's Thesis and Master's Examination |\n Modul\/Final Examination\n (FA)\n | Coursecode:\n M250415403<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Master's Examination<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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0.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Examination of Master’s thesis and selected teaching areas\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n \n Master's Thesis and Master's Examination |\n Seminar\n (SE)\n | Coursecode:\n M250415402<\/span>\n <\/div>\n Language of instruction\n German<\/small>\n
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Seminar on the Master's Thesis<\/h5>\n
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2.50<\/h5>\n ECTS<\/span>\n <\/div>\n
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1.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n Regular progress and coordination meetings with the supervisors\n <\/div>\n\n <\/div>\n <\/button>\n <\/div>\n <\/div>\n <\/div>\n \n
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Discontinued Curriculum<\/h2>\n <\/div>\n
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\n 1. Semester<\/span>\n \n\n<\/svg> <\/h4>\n <\/a>\n \n \n
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\n General Management |\n Lecture\/Practical\n (IL)\n | Coursecode:\n 190415105<\/span>\n <\/div>\n
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Data Analysis and Business Intelligence<\/h5>\n
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5.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
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4.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Advanced biostatistics with R (explorative data analysis, risk assessment, association measures, hypothesis testing),, dispositive data (DWH, ODS) OLAP, ETL, multi-dimensional data modeling, data mining, DWH architectures, multi-dimensional modeling, reports according to Hichert\n <\/div>\n\n <\/div>\n <\/button>\n \n
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\n General Management |\n Lecture\/Practical\n (IL)\n | Coursecode:\n 190415104<\/span>\n <\/div>\n
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IT Management of Healthcare Enterprises – General Basics<\/h5>\n
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5.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
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3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Management models, leadership styles, methods of strategic and operative corporate management, management tools (portfolio analysis, product life cycles, balanced score card, potential analyses, SWOT analyses, …)\n <\/div>\n\n <\/div>\n <\/button>\n \n
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\n Medical Informatics 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n 190415102<\/span>\n <\/div>\n
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Advanced Security and Privacy<\/h5>\n
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2.50\n <\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Cryptographic methods, hash functions, block chaining, technical implementation of the DSGVO (Privacy by default, Privacy by Design, data processing directory, …)\n <\/div>\n\n <\/div>\n <\/button>\n \n
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\n Medical Informatics 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n 190415101<\/span>\n <\/div>\n
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Master-Introduction<\/h5>\n
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2.50\n <\/h5>\n ECTS<\/span>\n <\/div>\n
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2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Overview of the three focal points (software engineering, machine learning, IT management) from the 2nd and 3rd semesters\n <\/div>\n\n <\/div>\n <\/button>\n \n
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\n Medical Informatics 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n 190415103<\/span>\n <\/div>\n
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Medical Standards and Ssemantic Interoperability<\/h5>\n
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5.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Theory of medical classification systems, semantic classification systems (SNOMED, SNOMED-CT, …), international classification systems for MTD professions, care, primary care, … Standards for mobile devices (Continua Health Alliance, …)\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n
\n Public Health and Clinical Research 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n 190415107<\/span>\n <\/div>\n
\n
Clinical Rersearch<\/h5>\n
\n
\n
5.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Design, proposal and conducting of clinical studies, co-operation of participants (pharmaceutical industry, authorities, ethic commission etc.), ethic issues, IT support of procedures in clinical research, implementation and operation of Good Manufacturing Practice (GMP) and Good Laboratory Practice (GLP) systems, audits, national and international admission procedures, guidelines\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n
\n Public Health and Clinical Research 1 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n 190415106<\/span>\n <\/div>\n
\n
Public Health and Evidence Based Medicine<\/h5>\n
\n
\n
5.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Population-related diseases and health resources, health reporting, public health (indicators, concepts, results), mortality and morbitity trends, health policy, prevention and promotion, evidence based medicine\n <\/div>\n\n <\/div>\n <\/button>\n <\/div>\n <\/div>\n <\/div>\n
\n
\n \n

\n 2. Semester<\/span>\n \n\n<\/svg> <\/h4>\n <\/a>\n \n \n
\n
\n Medical Informatics 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n 190415203<\/span>\n <\/div>\n
\n
Electronic Health Records<\/h5>\n
\n
\n
5.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Overview of international EHRs, standards, the Austrian EHR ELGA, architecture of ELGA, examples of concrete applications\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n
\n Public Health and Clinical Research 2 |\n Lecture\/Practical\n (IL)\n | Coursecode:\n 190415204<\/span>\n <\/div>\n
\n
Epidemiology<\/h5>\n
\n
\n
5.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
3.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n History and basis terms of epidemiology, prevalence and incidence, standardization of rates, design and evaluation of epidemiological studies, confounding, bias, meta analyses, causality in epidemiology\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n
\n Social and scientific Skills 1 |\n Seminar\n (SE)\n | Coursecode:\n 190415202<\/span>\n <\/div>\n
\n
Change Management<\/h5>\n
\n
\n
2.50\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Features of change processes, effective negotiations and features of the contact phase, argumentation techniques, negotiating on the basis of active listening and solution finding, difficult situations in negotiations, concluding a negotiation on the basis of clear-cut agreements\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n
\n Social and scientific Skills 1 |\n Seminar\n (SE)\n | Coursecode:\n 190415201<\/span>\n <\/div>\n
\n
Cognitive Academic Language Proficiency in eHealth<\/h5>\n
\n
\n
2.50\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Analysing and working on subject relevant texts such as poster, data sheet, summary, abstract, critical review, paper. Identifying features of scientific texts in combinaiton with reading techniques.\n <\/div>\n\n <\/div>\n <\/button>\n <\/div>\n <\/div>\n <\/div>\n
\n
\n \n

\n 3. Semester<\/span>\n \n\n<\/svg> <\/h4>\n <\/a>\n \n \n
\n
\n Project Management |\n Project Thesis\n (PA)\n | Coursecode:\n 190415301<\/span>\n <\/div>\n
\n
Master Project<\/h5>\n
\n
\n
10.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
1.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n An eHealth-relevant task must be dealt with by the student. The topics are proposed either by the student in cooperation with a sector-specific company or by the master degree program from the teaching and research topics. Results can be prototypes, preliminary studies, feasibility studies or similar. The topic can also be further developed in the Master Thesis.\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n
\n Social and scientific Skills 2 |\n Seminar\n (SE)\n | Coursecode:\n 190415303<\/span>\n <\/div>\n
\n
Health Technology Assessment<\/h5>\n
\n
\n
2.50\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Basics, concepts and methods of HTA, Health Impact Assessment, support of health politics\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n
\n Social and scientific Skills 2 |\n Seminar\n (SE)\n | Coursecode:\n 190415302<\/span>\n <\/div>\n
\n
Scientific Communication on Current Issues in Healthcare<\/h5>\n
\n
\n
2.50\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Content depending on Master projects. Discussion, presentation and identification of possible research questions for master theses.\n <\/div>\n\n <\/div>\n <\/button>\n <\/div>\n <\/div>\n <\/div>\n
\n
\n \n

\n 4. Semester<\/span>\n \n\n<\/svg> <\/h4>\n <\/a>\n \n \n
\n
\n Master Thesis |\n Master's Thesis\n (MA)\n | Coursecode:\n 190415401<\/span>\n <\/div>\n
\n
Master Thesis<\/h5>\n
\n
\n
23.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
1.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Working on a final thesis in an ehealth related topic decided upon in co-operation with the tutor.Individual preparation for the Master’s examination\n <\/div>\n\n <\/div>\n <\/button>\n \n
\n
\n Master Thesis |\n Modul\/Final Examination\n (FA)\n | Coursecode:\n <\/span>\n <\/div>\n
\n
Master\u00b4s Exam <\/h5>\n
\n
\n
2.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
0.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n \n <\/div>\n\n <\/div>\n <\/button>\n \n
\n
\n Master Thesis |\n Seminar\n (SE)\n | Coursecode:\n 190415402<\/span>\n <\/div>\n
\n
eHealth Applications Colloquium<\/h5>\n
\n
\n
5.00\n <\/h5>\n ECTS<\/span>\n <\/div>\n
\n
2.00<\/h5>\n SWS<\/span>\n <\/div>\n <\/div>\n <\/div>\n\n \n\n Discourse on ethical, social, economic and legal aspects of eHealth applications on the basis of topics covered in the Master’s theses\n <\/div>\n\n <\/div>\n <\/button>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

To make your education as wide-ranging and practice-oriented as possible, the course content is divided into modules of different subject areas. Here you can find an overview of all modules and the associated courses.<\/p>\n","protected":false},"author":143,"featured_media":0,"parent":10,"menu_order":20,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/wp-json\/wp\/v2\/pages\/92"}],"collection":[{"href":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/wp-json\/wp\/v2\/users\/143"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/wp-json\/wp\/v2\/comments?post=92"}],"version-history":[{"count":1,"href":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/wp-json\/wp\/v2\/pages\/92\/revisions"}],"predecessor-version":[{"id":93,"href":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/wp-json\/wp\/v2\/pages\/92\/revisions\/93"}],"up":[{"embeddable":true,"href":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/wp-json\/wp\/v2\/pages\/10"}],"wp:attachment":[{"href":"https:\/\/www.fh-joanneum.at\/digital-health-technologies\/master\/en\/wp-json\/wp\/v2\/media?parent=92"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}