Attribut:Beschreibung-EN
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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. +
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'''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. <br/> '''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.
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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. +
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. +
Physicians in their role as health advisors and advocates record and promote the health and healthy lifestyle of individuals and groups of patients and communities. They do this independently and in cooperation with other health care professions as well as institutions and organizations in the health care system for the benefit of patients and the general public. They see it as their task to recognize disparities in the state of health and life expectancy of patients, patient groups and population groups and their consequences and to work towards a reduction of disparities and their consequences. Doctors see themselves as role models with regard to the way they deal with their own health (see Professional Conduct). (NKLM 2015) +
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authors: Mantas J et al. +
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). +
health care professionals in their role as IT users introductory level (IMIA Recommendations 2010) +
health care professionals in their role as IT users intermediate level (IMIA Recommendations 2010) +
health care professionals in their role as IT users advanced level (IMIA Recommendations 2010) +
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