| Description |
1 online resource (xvi, 264 pages) : illustrations (some color), color portrait. |
|
text file |
| Series |
Studies in health technology and informatics,
1879-8365 ;
volume 278
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Studies in health technology and informatics ; v. 278.
|
| Bibliography |
Includes bibliographical references and indexes. |
| Contents |
Bioinformatics & system biology. A specialized system for arrhythmia detection for basic research in cardiology -- Biostatistics. Choosing interim sample sizes in group sequential designs -- Medical documentation. Postcoordination of LOINC Codes in SNOMED CT -- Medical informatics. patient empowerment through digital voice pens: a feasibility study -- ODM clinical data generator: syntactically correct clinical data based on metadata definition -- The registry data warehouse in the European Reference Network for rare respiratory diseases: background, conception and implementation -- Visualization of similar patients in a clinical decision support system for rare diseases: a focus group study -- Generating enriched synthetic German hospital claims data: a use case driven approach -- Ontological modelling and execution of phenotypic queries in the Leipzig Health Atlas -- Histream-import: a generic ETL framework for processing arbitrary patient data collections or hospital information systems into HL7 FHIR bundles -- Fit for purpose: analyzing the German archiving and exchange interface for medical practice management systems -- openEHR mapper: a tool to fuse clinical and genomic data using the openEHR standard -- ISO 21526 conform metadata editor for FAIR unicode SKOS thesauri -- Record Linkage in Clinical Cancer Registration: Experiences and Findings from Lower Saxony -- Quality of life as an indicator for care delivery in clinical oncology using FHIR -- Semantic anomaly detection in medical time series -- Executing distributed healthcare and research processes: the HiGHmed data sharing framework -- Feasibility queries in distributed architectures: concept and implementation in HiGHmed -- A federated record linkage algorithm for secure medical data sharing -- Merging genomics public datasets with clinical cancer registry data: lessons learned -- Use of LOINC and SNOMED CT with FHIR for microbiology data -- The process of modeling information system architectures with IHE -- Concept and implementation of data usage proposal process based on international standards in SMITH -- IU: a digital application for the graphical examination of interpersonal attachment -- Preliminary analysis of structured reporting in the HiGHmed use case cardiology: challenges and measures -- Mobile health applications for rehabilitation of musculoskeletal diseases of the shoulder: a systematic analysis -- Oncology on FHIR: a data model for distributed cancer research -- Digitizing data management for intraoperative neuromonitoring -- A multi-user terminology mapping toolbox -- First steps to evaluate an NLP tool's medication extraction accuracy from discharge letters -- Fast Healthcare Interoperability Resources (FHIR®) representation of medication data derived from German Procedure Classification Codes (OPS) using Identification of Medicinal Products (IDMP) compliant terminology -- Needs for an Integration of specific data sources and items: first insights of a national survey within the German Center for Infection research -- Accessing the ECG data of the Apple Watch and accomplishing interoperability through FHIR -- Accessing OMOP Common Data Model repositories with the i2b2 webclient: algorithm for automatic query translation. |
| Summary |
"The COVID-19 pandemic has brought into sharp focus the need for the collection of data. Such data cannot be collected or provided without medical informatics, documentation and health data management. Nor can health data be evaluated and converted into a useful tool for making the important decisions that affect us all without biometrics and epidemiology, bioinformatics and systems biology. This book presents full papers from GMDS & CEN-IBS 2020, the first joint online conference of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS) and the Central European Network & the International Biometric Society (CEN-IBS), held online between 6 and 11 September 2020. The title of the conference was Bringing Data to Life, a reference to the increasing amount of data in medical research which is inextricably related to the fast-developing digitalization of the health system. Many challenges must be addressed in order to make use of and benefit from these increasing sources of data, and these can only be faced if all disciplines related to data science work together. The conference aimed to bring together the diverse disciplines within data science, including medical informatics, bioinformatics, biostatistics, epidemiology, public health and medical documentation. Topics covered in the book include central themes relevant to society in general and advances in data technology which support innovations in medical research in particular. The book brings together many topics related to the provision and analysis of data in medicine, and will be of interest to all those working in the field"--Publisher's description |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Medical informatics -- Congresses.
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Medical informatics. |
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Medical informatics.
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Medicine -- Data processing.
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Medicine -- Data processing. |
| Genre/Form |
Congress.
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Conference papers and proceedings.
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Conference papers and proceedings.
|
| Added Author |
Röhrig, Rainer, editor.
|
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Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, issuing body.
|
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Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. Jahrestagung (65th : 2020 : Online)
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International Biometric Society. Central European Network. Meeting (2020 : Online)
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| Other Form: |
Print version: Joint Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology and the Central European Network-International Biometric Society (1st : 2020 : Online). German medical data sciences. Amsterdam, Netherlands: IOS Press, [2021] 9781643681764 (DLC) 2020936196 (OCoLC)1259400971 |
| ISBN |
9781643681771 (electronic book) |
|
164368177X (electronic book) |
|
9781643681764 (print) |
|
1643681761 (print) |
| Standard No. |
10.3233/SHTI278 |
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