Table of Module Descriptions within HI-LONa
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| Short Name | name of module (En) | Description(En) | belongs to study programs | LO of the Module | Previous |
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| CompAssChir | Computer-Assisted Surgery | Qualification goals: Students will be able to discuss basic concepts and methods of computer assisted surgery, technical and structural principles, procedures and methods of simulation, planning and intraoperative implementation in the medical environment, specific systems. Impart a basic methodological understanding of surgery-assisting systems, develop the ability to design their own systems.
Content: Fundamentals of image data acquisition, image processing and segmentation; registration; graphical and functional modeling; workflow modeling and visualization in surgery; application in specific systems; device technology (intraoperative) imaging; surgical navigation systems; surgical assistance robotic systems; telemanipulators; mechatronics in surgery; augmented reality; surgical device technology; evaluation and clinical review of surgical systems, medical device law. | MSc MI (Leipzig) | | | | DDM (Aachen) | Data Driven Medicine | Data play an important role in medicine: Intensive care relies on monitors presenting and analysing real-time patient data, medical imaging has become a domain of massive data processing, diagnostics rely on laboratory data, and the importance of data is ever increasing: Wearable sensors, mobile communication devices and respective apps will produce data streams, which support preventive measures in healthy individuals or allow screening as a basis for data-based prevention of diseases. Last but not least: molecular biology (e.g. by gene sequencing and gene expression analysis) introduces new biomarkers, which enable new minimally-invasive diagnostics and approaches to tailoring treatments based on individual characteristics of patients (precision medicine) - which would never be possible without sophisticated processing of huge amounts of data. Medical decision making in general will be markedly influenced by data processing and data analytics. Thus, we can expect data driven medicine to gain momentum in the nearer future. This course offers a project-oriented, multidisciplinary introduction to the basics of data driven medicine. Orientation, fundamental concepts, and methodological approaches are provided by lectures. In addition, the participants will also form small interdisciplinary teams including students of computer science as well as medical students in order to plan and implement an own project, which targets prediction or decision support generated from medical data. | AF Inf. MSc (Aachen) | LZ-PIN 34002
LZ-PIN 34031
LZ-PIN 34026
LZ-PIN 34021
LZ-PIN 34032
LZ-PIN 34035
LZ-PIN 34033
LZ-PIN 34023 | | | Data Warehouses | Data Warehouses for medical care and research | Content The lecture "Data Warehouses for Medical Care and Research" teaches the basics of data acquisition, data access and data analysis of primary and secondary data sources in clinical trial research and care. Common methods and tools are introduced (electronic data capture, requirements analysis, design and validation of study databases, biomaterial databases, data dictionaries, standard operating procedures, automatic generation of reports, data mining in clinical application systems). During the exercises, the content from the lectures is applied to specific applications and practical scenarios. The respective software tools are first introduced in detail and demonstrated using complex examples. Subsequently, the students solve tasks on their own, as they are typically given to medical informatics specialists. The complete solution of the tasks is part of the self-study.
Qualification Objectives Students will be able to explain fundamentals of data representation and data analysis of primary and secondary data sources, principles of data mining, data warehouses, knowledge management, (FAIR principles). Students will be able to perform queries on common databases. Students will be able to name / explain measures to ensure high quality data (based on FAIR principles). Students will be able to name / explain information processing requirements for clinical trials on EDC (Electronic Data Capture), e.g. from registries (German Cancer Registry). | MSc MI (Leipzig) | LZ-PIN 30150
LZ-PIN 34152
LZ-PIN 34155
LZ-PIN 34153
LZ-PIN 34154 | | | Einf Med Inf (Aachen) | Introduction to Medical Informatics | Know central application areas and methods of medical informatics. Identify medical-specific requirements and problems of computer-based information processing. Assess research trends in medical informatics. | AF Inf. MSc (Aachen) | | | | FvSL (Leipzig) | Information Systems in Medical Care and Research (International Frank - van Swieten Lectures) | Content Using hospital information systems as an example, students will acquire in-depth knowledge of the methods for modeling, the structure or architecture as well as the quality and evaluation of information systems in healthcare. By participating in the international Frank-van Swieten Lectures, students learn to discuss strengths and weaknesses of different information system architectures in English. Lecture "Information Systems of Medical Care and Research": The term hospital information system is used to describe the system of information processing in a hospital. It interacts closely with the information systems of other health care institutions (e.g., physicians' offices, other hospitals, nursing services, health insurance companies) and is thus part of a trans-institutional health care information system. Based on hospital information systems, the following topics are covered in detail: • Modeling of Information Systems • Information Processing Tasks in Health Care Institutions • Architecture Types of Information Systems in Health Care • Integration Requirements and Integration Techniques • Electronic Patient Record • Standards in Medical Informatics • Structural, Process and Outcome Quality of Information Systems in Health Care • Evaluation and Comparisons of Information Systems Exercise "Information Systems in Medical Care and Research" : Based on a department of a hospital, information processing tasks, architecture types and quality criteria are analyzed. The results are presented at the international Frank-van Swieten Lectures. Individual teaching units are designed by external speakers and partly in the form of e-learning. In the seminar, selected topics of the lectures are prepared in the form of a poster presentation after a literature analysis.
Qualification goals After active participation in the module, students are able to explain tasks and methods of strategic management of information systems and IT governance in healthcare (BMHI 5.1.3). Explain tasks and methods of operational management of information systems and IT service management (BMHI 5.1.5) and critically evaluate their application based on case studies; explore a scientific topic in medical informatics based on literature and prepare it in the form of a poster presentation. To apply the ethical guidelines of the GMDS. | MSc MI (Leipzig) | | | | GR AOBK | Guidelines & Rules: Acquiring and Operationalizing Biomedical Knowledge | Regulatory requirements and the need of transparent, explainable knowledge processing foster the role of symbolic, logic based approaches as an indispensable complement to subsymbolic techniques (e.g. artificial neural networks). Computerized clinical guidelines are a high-impact field of application for medical knowledge acquisition and processing. The module introduces the concept of clinical guidelines, and motivates the beneficial effect of guidelines adherence. Systematic guideline development is outlined, including the principles of evidence based guidelines, evidence levels, formal consensus procedures, and relevant institutions. Established approaches for formal guideline representation (proprietary representation languages vs. general purpose workflow representation) are represented and compared using workflow representation patterns. The module outlines the distinction between guidelines and clinical pathways and presents implementation approaches of electronic pathways. The module addresses process models and methodologies of medical knowledge acquisition in general. Due to their practical relevance classical representation formats like rules and constraints are considered in the context of medical knowledge representation based on a reflection of their formal logics foundation. The role of semantic triples is explained and linked to biomedical ontologies as introduced in modules BL6 and BL7. The module presents relevant standards in the field, namely HL7 Arden syntax and the Clinical Quality Language. The module outlines application of these approaches in Clinical Decision Support Systems (CDSS) by giving a typology of CDSS and presenting important empirical data concerning CDSS evaluation and sociotechnical effects of CDSS. | MED-DS Aachen | | | | GeshSys (Aachen) | Health Systems | The students know the structure of health care systems in Germany and the surrounding area as well as the legal and economic foundations. A comparison with other health care systems as well as an introduction to the history of the German health care system and the essential control features. In addition, students learn the systematics of the essential organization and financing of the system by taking a closer look at the two actors health insurance (payer) and hospital (player). In addition, current health policy discussions are highlighted and the topic of competition and (digital) trends in the health megamarket are considered. | AF Inf. BSc (Aachen) | | | | ISMCR AM | Information Systems for Medical Care and Research: Architecture and Management | Information systems guarantee the information and knowledge logistics in medical facilities, i.e. they provide medical and research professionals with the right information and knowledge at the right time, in the right place and in the right form. Due to their complexity and constantly growing requirements from patient care and medical research, information systems must be planned, directed and monitored on a long-term basis. The course introduces the metamodel 3LGM² (3-layer graph-based metamodel) for planning, modeling and assessing information system architectures. Special requirements for information system architectures (e.g. integration types and techniques, data management and data stewardship, structural quality, process quality and quality of results, regulatory aspects) are discussed in depth. The topics of strategic, tactical and operational management of information systems are explained and discussed using selected examples (strategic planning and monitoring of information systems, phases and methods of IT project management, IT service management). | MED-DS Aachen | | | | KlinForschung | Regulatory Aspects of Clinical Research | Qualification goals After participating in the module, students will be able to name, explain and apply ethical and legal aspects. These include: regulatory requirements and data standards for medical research; policies, ethical and regulatory frameworks for handling information in healthcare; ethical aspects and security issues, including accountability of providers, managers and BMHI specialists, as well as confidentiality and security of patient data; essential principles of data protection, including DSGVO (the European Union's General Data Protection Regulation) and Cyber Security Act; the concepts of pseudonymized and anonymized patient data.
Content The lecture "Regulatory Aspects of Clinical Research" deals with the legal basis of clinical research as well as its regulatory framework. The following topics are covered in the lecture "Regulatory Aspects of Clinical Research": Introduction to the legal framework and regulatory basis; data protection and concepts for data protection compliant implementation in clinical research; biomaterial banks; quality management according to AMG and MPG/MDR as well as implementation according to GAMP. In the section "Special Areas of Regulatory Aspects of Clinical Research", practitioners from various healthcare institutions will report on regulatory aspects (electronic signature, digital archiving, robotics, etc.) In the seminar, selected topics from the lectures will be deepened by the students in the context of group work with practical exercises and a concluding lecture. | MSc MI (Leipzig) | | | | Med Inf Sys (Aachen) | Medical Information Systems | Know areas of application of medical information systems. Know relevant standards and systems. Model clinical information systems. Be able to consider data protection and security requirements. Understand central methodological approaches to the management of clinical information systems. | AF Inf. MSc (Aachen) | LZ-PIN 34070
LZ-PIN 34069
LZ-PIN 34114
LZ-PIN 34087
LZ-PIN 34076
LZ-PIN 34080
LZ-PIN 34115
LZ-PIN 34088
LZ-PIN 34093 | | | Medizin für MI-ler | Basics of medicine for medical informatics specialists | Learning objectives After actively participating in the module, students will be able to name and explain selected basic principles of anatomy and physiology and, on this basis, the main features of important diseases; assess the ways in which doctors can be supported in their tasks by methods and tools of medical informatics; name the diagnostic and therapeutic procedures of doctors using selected examples and place them in the context of the healthcare system. Contents Basic knowledge of anatomy and physiology; introduction to the principles of medicine; systematic presentation of important disease patterns (heart attack, diabetes mellitus, obesity, kidney failure, endocrinological control circuits, pneumological diseases); introduction to visceral surgery; terminology and controlling in medicine; cross-sectional medical subjects (radiology, microbiology, virology, clinical chemistry, genetics, psychiatry, infectiology). Translated with DeepL.com (free version) | MSc MI (Leipzig) | LZ-PIN 35046
LZ-PIN 35048
LZ-PIN 40124
LZ-PIN 40122
LZ-PIN 40148
LZ-PIN 40013
LZ-PIN 40136
LZ-PIN 40135
LZ-PIN 40123
LZ-PIN 40147
LZ-PIN 40146
LZ-PIN 40126 | | | MethMed4MINT (Aachen) | Methodology of Medicine for Scientists | The lecture imparts orientation knowledge about the medical procedure, the context of medical action (temporal, organizational, legal and economic guidelines or restrictions) as well as the characteristic features of clinical decision-making and medical knowledge. Students learn to identify challenges specific to medicine in typical scenarios and to relate them to their own (e.g. information technology) projects. | AF Inf. BSc (Aachen) | | | | OS und MDok | Medical and genetic coding systems and basics of medical data management | Content Medical documentation is the collection, development, organization and storage of information and knowledge in medicine. It is a prerequisite for medical care, research as well as for management and billing. Information and knowledge are documented in the form of terms. Classification systems and ontologies are required for semantic integration and ensure that the terms can be further used and processed. Contents of the lecture "Medical and genetic coding systems and basics of medical data management": · Goals of documentation and multiple usability of data, · Types of documentation systems and patient/health records, · Registries, · Medical classification systems, especially classifications and nomenclatures, · Diagnosis and therapy oriented case group systems for billing, · Legal basics of medical documentation. · Phenotype ontologies, · Ontologies for molecular factors and processes. Contents of the exercise: · Application of coding tools in medical practice. · Application of classifications (ICD, ICPM, coding rules). · Application of nomenclatures (e.g. SNOMED, MESH, LOINC) and practical exercises in coding. · Realization of a documentation system for a specific evaluation objective. · Field trips to medical documentation facilities, biobanks, and genetic research laboratories. Individual teaching units are designed by external speakers and partly in the form of e-learning.
Qualification goals After active participation in the module, the students will be able to: - explain the legal basis of medical documentation (including DSGVO and IT security law) (BMHI 0.1.1). - explain the need for medical and nursing documentation using examples. (BMHI 1.1.1) - explain the different types of medical documentation, their structure and areas of application, in particular the basic documentation of hospitals and medical practices (BMHI 1.1.2) - name the advantages and disadvantages of electronic documentation, their differences to paper documentation and the problems of media discontinuity (BMHI 1.1.3) - explain the tasks and function of the different types of electronic patient records (physician-initiated, facility-related or inter-facility) and the electronic health record (patient-initiated). (BMHI 1.1.6) - explain and exemplify the classification of diagnoses using the current version of ICD-GM (International Statistical Classification of Diseases and Related Health Problems, German Modification) for inpatient and outpatient settings. (BMHI 1.3.1) - explain and exemplarily apply the coding of measures, interventions and procedures using OPS. (BMHI 1.3.2) - explain the DRG system, the information and tools required to determine a DRG, and the metrics associated with the DRG system, including payment system and additional revenue (BMHI 1.3. 3) - explain nomenclatures, (controlled) vocabularies, terminologies, ontologies, and taxonomies for medicine, (e.g., SNOMED CT, LOINC; for nursing, ICNP, NANDA, and NIC and NOC, LEP; and for genetics, Gene Ontology (GO) (BMHI 1.4) - explain the importance of conceptual orders for medicine in general. (BMHI 1.4.1) - name and explain medical classifications and terminologies and how they are constructed and used. (BMHI 1.4.2) | MSc MI (Leipzig) | LZ-PIN 34002
LZ-PIN 34031
LZ-PIN 34026
LZ-PIN 34021
LZ-PIN 34032
LZ-PIN 34036
LZ-PIN 34035
LZ-PIN 34033
LZ-PIN 34022
LZ-PIN 34023 | | | Strat Mgmt | Strategic Management of Information Systems in Medical Care and Research | Content Information management in medical care and research deals with the planning, control and monitoring of information systems in health care. Within the scope of the lecture "Strategic Management of Information Systems in Medical Care and Research", the following topics are covered: strategic framework planning, strategic monitoring and control, strategic management in health care networks, IT service management, IT governance, reports by practitioners from various health care institutions on topics of strategic information management. Individual teaching units are designed by external speakers and partly in the form of e-learning. In the seminar, selected topics from the lectures are prepared in the form of a poster presentation after a literature analysis.
Qualification goals After active participation in the module, the students are able to explain tasks and methods of the strategic management of information systems and IT governance in healthcare (BMHI 5.1.3); explain tasks and methods of the operational management of information systems and IT service management (BMHI 5.1.5); critically assess their application on the basis of case studies; explore a scientific topic of medical informatics on the basis of literature and prepare it in the form of a poster presentation; apply the ethical guidelines of the GMDS. | MSc MI (Leipzig) | | | | Takt. Mgmt | Tactical Management of Information Systems in Medical Care and Research (Project Management) | Qualification goals After active participation in the module, students will be able to: explain tasks of tactical management of information systems in medical care and research; apply selected methods of system analysis and evaluation (e.g. process modeling, information system modeling) within a project on information systems in medical care and research; plan, implement and complete a project of tactical information management and present (interim) results of a project orally and in writing.
Content of the lecture Management of information systems; reference model for projects of tactical management of information systems in health care; project management: methods of planning, controlling and monitoring projects for the introduction or change of components of an information system in medical care and research; methods for the project modules system analysis and assessment, system selection, system introduction and system evaluation.
Exercise content Project planning tools; process modeling; information system modeling; conducting surveys; presentations; conducting a project with a healthcare client. | MSc MI (Leipzig) | | |
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