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Diese Seite stellt eine einfache Suchoberfläche zum Finden von Objekten bereit, die ein Attribut mit einem bestimmten Datenwert enthalten. Andere verfügbare Suchoberflächen sind die Attributsuche sowie der Abfragengenerator.

Suche mittels Attribut

Eine Liste aller Seiten, die das Attribut „Beschreibung-EN“ mit dem Wert „Regulatory requirements and data standards for medical research“ haben. Weil nur wenige Ergebnisse gefunden wurden, werden auch ähnliche Werte aufgelistet.

Hier sind 29 Ergebnisse, beginnend mit Nummer 1.

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Liste der Ergebnisse

  • LZ-PIN 31104  + (Principles of data representation and data analysis using primary and secondary data sources, principles of data mining, data warehouses, knowledge management)
  • LZ-PIN 32137  + (Principles of data representation and data analysis using primary and secondary data sources, principles of data mining, data warehouses, knowledge management)
  • LZ-PIN 33122  + (Principles of data representation and data analysis using primary and secondary data sources, principles of data mining, data warehouses, knowledge management, FAIR Principles)
  • LZ-PIN 34065  + (Principles of evidence-based medicine and evidence-based nursing)
  • LZ-PIN 32072  + (Principles of evidence-based medicine and evidence-based nursing)
  • LZ-PIN 34080  + (Principles of health record structure, desPrinciples of health record structure, design and analysis (Including the concepts of data quality, minimum data sets, architecture and general applications of the electronic health record EHR, electronic health record, electronic case record, electronic medical record)ic case record, electronic medical record))
  • LZ-PIN 34040  + (Principles of medical decision-making and diagnostic and therapeutic strategies, e.g. basic medical expertise using use cases as an example / selected clinical pictures)
  • LZ-PIN 31101  + (Principles of the structure, design and analysis of health records (including the terms data quality, minimum data sets, architecture and general applications of the electronic patient record / electronic health record))
  • D-PIN 33  + (Process Management)
  • LZ-PIN 31056  + (Process for the secure transmission and storage of patient data and their differentiation from unsafe methods)
  • D-PIN 34  + (Project Management)
  • LZ-PIN 31036  + (Properties, functionalities and examples of information systems to support patients and the general public (e.g. patient-oriented information system architectures and applications, personal health records, sensor-based information systems))
  • LZ-PIN 31099  + (Properties, functionalities and examples of information systems to support patients and the general public (e.g. patient-oriented information system architectures and applications, personal health records, sensor-based information systems))
  • D-PIN 32  + (Quality Assurance and Quality Management)
  • LZ-PIN 31039  + (Quality of the knowledge sources)
  • LZ-PIN 33149  + (Queries on common databases)
  • LZ-PIN 34153  + (Queries on common databases)
  • LZ-PIN 35224  + (Queries on common databases)
  • LZ-PIN 50190  + (ROC curve)
  • LZ-PIN 50191  + (ROC curve)
  • LZ-PIN 60122  + (ROC curves)
  • LZ-PIN 60121  + (ROC curves)
  • Pflegeinformatik  + (Recommendations of the Working Group "InfoRecommendations of the Working Group "Information Processing in Nursing" of the German Society for Medical Informatics, Biometry and Epidemiology (GMDS), the Austrian Society for Nursing Informatics (ÖGPI) and the Swiss Interest Group for Nursing Informatics (IGPI)erest Group for Nursing Informatics (IGPI))
  • LZ-PIN 34004  + (Regulations for the internet presentation of practices/clinics and the prerequisites for medical consultations on the Internet)
  • LZ-PIN 32006  + (Regulations for the internet presentation of practices/clinics and the prerequisites for medical consultations on the Internet)
  • LZ-PIN 30027  + (Regulations for the internet presentation of practices/clinics and the prerequisites for medical consultations on the Internet)
  • LZ-PIN 31025  + (Regulations for the internet presentation of practices/clinics and the prerequisites for medical consultations on the Internet)
  • LZ-PIN 33004  + (Regulations for the internet presentation of practices/clinics and the prerequisites for medical consultations on the Internet)
  • LZ-PIN 35004  + (Regulations for the internet presentation of practices/clinics and the prerequisites for medical consultations on the Internet)
  • LZ-PIN 30083  + (Regulatory requirements and data standards for medical research)
  • LZ-PIN 30100  + (Regulatory requirements and data standards for medical research)
  • LZ-PIN 31063  + (Regulatory requirements and data standards for medical research)
  • LZ-PIN 31083  + (Regulatory requirements and data standards for medical research)
  • LZ-PIN 32097  + (Regulatory requirements and data standards for medical research)
  • LZ-PIN 32123  + (Regulatory requirements and data standards for medical research)
  • LZ-PIN 33112  + (Regulatory requirements and data standards for medical research)
  • LZ-PIN 34084  + (Regulatory requirements and data standards for medical research)
  • LZ-PIN 34116  + (Regulatory requirements and data standards for medical research.)
  • GR AOBK  + (Regulatory requirements and the need of trRegulatory 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.uation and sociotechnical effects of CDSS.)
  • LZ-PIN 34132  + (Representation of decision support and its impact on patient management, acquisition, representation, and engineering of medical knowledge; construction and use of clinical pathways and guidelines.)
  • LZ-PIN 35205  + (Representation of decision support and its impact on patient management, acquisition, representation, and engineering of medical knowledge; construction and use of clinical pathways and guidelines.)
  • D6  + (Representing and modeling medical information and knowledge (incl. Ontologies))
  • D-PIN 21  + (Representing and modeling medical information and knowledge (incl. Ontologies))
  • D-PIN 56  + (Representing and modeling medical information and knowledge (incl. Ontologies))
  • D-PIN 65  + (Representing and modeling medical information and knowledge (incl. Ontologies))
  • D-PIN 74  + (Representing and modeling medical information and knowledge (incl. Ontologies))
  • D-PIN 83  + (Representing and modeling medical information and knowledge (incl. Ontologies))
  • D-PIN 92  + (Representing and modeling medical information and knowledge (incl. Ontologies))
  • LZ-PIN 30090  + (Requirements for information processing in registers and the term EDC (Electronic Data Capture))
  • LZ-PIN 31078  + (Requirements for information processing in registers and the term EDC (Electronic Data Capture))
  • LZ-PIN 32114  + (Requirements for information processing in registers and the term EDC (Electronic Data Capture))
  • LZ-PIN 33099  + (Requirements for information processing in clinical trials on EDC (Electronic Data Capture) e.g. from registers (German Cancer Registry))
  • LZ-PIN 34155  + (Requirements for information processing in clinical studies on EDC (Electronic Data Capture) e.g. from registries (German Cancer Registry))
  • LZ-PIN 35226  + (Requirements for information processing in clinical studies on EDC (Electronic Data Capture) e.g. from registries (German Cancer Registry))
  • LZ-PIN 34103  + (Requirements for information processing in clinical trials on EDC (Electronic Data Capture) e.g. from registries (German Cancer Registry))
  • LZ-PIN 33151  + (Requirements for information processing in clinical trials on EDC (Electronic Data Capture) e.g. from registries (German Cancer Registry))
  • LZ-PIN 35065  + (Research methods and research paradigms)
  • Role change  + (Role of learning objective changed)