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LZ-PIN 50111 + ("absence of evidence != evidence of absence"""")

Strat Mgmt + ('''Content''' Information management in me … '''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.ation; apply the ethical guidelines of the GMDS.)
OS und MDok + ('''Content''' Medical documentation is the … '''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) how they are constructed and used. (BMHI 1.4.2))
Data Warehouses + ('''Content''' The lecture "Data Warehouses … '''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)., e.g. from registries (German Cancer Registry).)
FvSL (Leipzig) + ('''Content''' Using hospital information s … '''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.on. To apply the ethical guidelines of the GMDS.)
Medizin für MI-ler + ('''Learning objectives''' After actively p … '''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) Translated with DeepL.com (free version))
Takt. Mgmt + ('''Qualification goals''' After active par … '''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.ations; conducting a project with a healthcare client.)
KlinForschung + ('''Qualification goals''' After participat … '''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.th practical exercises and a concluding lecture.)
CompAssChir + ('''Qualification goals:''' Students will b … '''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. review of surgical systems, medical device law.)
LZ-PIN 34127 + ((Bio-)medical modeling and simulation)
LZ-PIN 35202 + ((Bio-)medical modeling and simulation)
LZ-PIN 33123 + ((Bio-)medical modelling and simulation)
LZ-PIN 30005 + (A clinical workplace system (KAS) (i.e. requesting examinations, documenting medical findings as well as writing medical prescriptions and reports).)
LZ-PIN 33025 + (A clinical workplace system (KAS) (i.e. requesting examinations, documenting medical findings as well as writing medical prescriptions and reports).)
LZ-PIN 34025 + (A clinical workplace system (KAS) (i.e. requesting examinations, documenting findings, prescribing medication, writing a medical report))
LZ-PIN 30060 + (A clinical workplace system (KAS) (i.e. requesting examinations, documenting medical findings as well as writing medical prescriptions and reports))
LZ-PIN 31049 + (A clinical workplace system (KAS) (i.e. requesting examinations, documenting medical findings as well as writing medical prescriptions and reports))
LZ-PIN 32078 + (A clinical workplace system (KAS) (i.e. requesting examinations, documenting medical findings as well as writing medical prescriptions and reports))
LZ-PIN 31005 + (A clinical workplace system (KAS) (i.e. requesting examinations, documenting medical findings as well as writing medical prescriptions and reports))
LZ-PIN 32026 + (A clinical workplace system (KAS) (i.e. requesting examinations, documenting medical findings as well as writing medical prescriptions and reports))
LZ-PIN 33072 + (A clinical workplace system (KAS) (i.e. requesting examinations, documenting medical findings as well as writing medical prescriptions and reports))
K6 + (Access to medical knowledge)
Kapitel 7 + (Access to medical knowledge)
D8 + (Accessing, managing and mining biomedical big data)
D-PIN 23 + (Accessing, managing and mining biomedical big data)
D-PIN 58 + (Accessing, managing and mining biomedical big data)
D-PIN 67 + (Accessing, managing and mining biomedical big data)
D-PIN 76 + (Accessing, managing and mining biomedical big data)
D-PIN 85 + (Accessing, managing and mining biomedical big data)
D-PIN 94 + (Accessing, managing and mining biomedical big data)
LZ-PIN 34023 + (Advantages and disadvantages of electronic documentation, its differences to paper documentation and the problems of media gaps)
LZ-PIN 32024 + (Advantages and disadvantages of electronic documentation, its differences to paper documentation and the problems of media gaps)
LZ-PIN 31003 + (Advantages and disadvantages of electronic documentation, its differences to paper documentation and the problems of media gaps)
LZ-PIN 35030 + (Advantages and disadvantages of electronic documentation, its differences to paper documentation and the problems of media gaps)
LZ-PIN 34047 + (Algorithm for searching and mapping sequences)
LZ-PIN 33047 + (Algorithm for searching and mapping sequences)
LZ-PIN 35055 + (Algorithms for searching and mapping gene and protein sequences)
LZ-PIN 34020 + (An effective and responsible use of information processing tools to support health professionals' practice and their decision-making)
LZ-PIN 34058 + (An effective search for adequate scientific evidence)
LZ-PIN 32061 + (An effective search for adequate scientific evidence)
LZ-PIN 33058 + (An effective search for adequate scientific evidence)
LZ-PIN 35066 + (An effective search for adequate scientific evidence)
LZ-PIN 34163 + (Analysis methods (statistical models, "machine learning" and artificial intelligence methods))
LZ-PIN 35230 + (Analysis methods, e.g. statistical models, "machine learning" and artificial intelligence methods)
LZ-PIN 32180 + (Analytical methods (statistical models, machine learning and artificial intelligence methods))
LZ-PIN 33159 + (Analytical methods (statistical models, machine learning and artificial intelligence methods))
LZ-PIN 34145 + (Application fields of image and signal processing)
LZ-PIN 32156 + (Application fields of image and signal processing)
LZ-PIN 33141 + (Application fields of image and signal processing)
LZ-PIN 35218 + (Application fields of image and signal processing)

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