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Source: Studies in Health Technology and Informatics

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Total 8745 results found since Jan 2013.

Evaluating Interoperability in German Critical Incident Reporting Systems
CONCLUSION: Improving interoperability is essential for increasing the effectiveness and usability of CIRS. The study suggests a unified data model such as MIM or using Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) resources and expanding SNOMED CT with patient safety-relevant terms for semantic interoperability. Given the current lack of both syntactic and semantic interoperability in CIRS, developing a patient safety ontology is recommended for efficient critical incident analysis too.PMID:37697860 | DOI:10.3233/SHTI230722
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Laura Tetzlaff Anne-Maria Purohit Jacob Spallek Christine Holmberg Thomas Schrader Source Type: research

A Real-Time Eye Tracking System for the Detection of Eye Blinks
DISCUSSION: The proposed system shows promising results under ideal viewing conditions but has difficulty maintaining high precision during head movements. The proposed system could be integrated with various health-related assistance systems to monitor the individual's well-being in real time, as long as their head is observed from the front if possible.PMID:37697858 | DOI:10.3233/SHTI230719
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Anja Witte Christian Lins Source Type: research

Adoption and Determinants of Assistive Technologies in the Real World: Results from the VdK Study
CONCLUSION: It can be concluded that innovative and sophisticated types of assistive technologies are still rather scarcely used for home care arrangements in the real world despite large research efforts in the last twenty years.PMID:37697854 | DOI:10.3233/SHTI230714
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Ursula H übner Ivanna Yalymova Mareike Przysucha Andreas B üscher Source Type: research

Comparison and Incorporation of Reasoning and Learning Approaches for Cancer Therapy Research
Stud Health Technol Inform. 2023 Sep 12;307:161-171. doi: 10.3233/SHTI230709.ABSTRACTRepresenting knowledge in a comprehensible and maintainable way and transparently providing inferences thereof are important issues, especially in the context of applications related to artificial intelligence in medicine. This becomes even more obvious if the knowledge is dynamically growing and changing and when machine learning techniques are being involved. In this paper, we present an approach for representing knowledge about cancer therapies collected over two decades at St.-Johannes-Hospital in Dortmund, Germany. The presented appro...
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Andre Thevapalan Daan Apeldoorn Gabriele Kern-Isberner Ralf G Meyer Mathias Nietzke Torsten Panholzer Source Type: research

Demand Analysis of a German Emergency Medical Service Feedback System
CONCLUSION: A feedback system is strongly desired by various EMS stakeholders and, according to them, could improve both EMS and ED collaboration and overall patient care.PMID:37697843 | DOI:10.3233/SHTI230700
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Marina Keimer Marten Villis Jan Christoph Wolfgang R ödle Source Type: research

Modelling Adverse Events with the TOP Phenotyping Framework
Stud Health Technol Inform. 2023 Sep 12;307:69-77. doi: 10.3233/SHTI230695.ABSTRACTThe detection and prevention of medication-related health risks, such as medication-associated adverse events (AEs), is a major challenge in patient care. A systematic review on the incidence and nature of in-hospital AEs found that 9.2% of hospitalised patients suffer an AE, and approximately 43% of these AEs are considered to be preventable. Adverse events can be identified using algorithms that operate on electronic medical records (EMRs) and research databases. Such algorithms normally consist of structured filter criteria and rules to i...
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Christoph Beger Anna Maria Boehmer Beate Mussawy Louisa Redeker Franz Matthies Ralph Sch äfermeier Annette H ärdtlein Tobias Dreischulte Daniel Neumann Alexandr Uciteli Source Type: research

Onkopipe: A Snakemake Based DNA-Sequencing Pipeline for Clinical Variant Analysis in Precision Medicine
Stud Health Technol Inform. 2023 Sep 12;307:60-68. doi: 10.3233/SHTI230694.ABSTRACTNGS is increasingly used in precision medicine, but an automated sequencing pipeline that can detect different types of variants (single nucleotide - SNV, copy number - CNV, structural - SV) and does not rely on normal samples as germline comparison is needed. To address this, we developed Onkopipe, a Snakemake-based pipeline that integrates quality control, read alignments, BAM pre-processing, and variant calling tools to detect SNV, CNV, and SV in a unified VCF format without matched normal samples. Onkopipe is containerized and provides f...
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Jingyu Yang Tim Bei ßbarth J ürgen Dönitz Source Type: research

How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation
CONCLUSION: Considering the compared dimensions of architectural routes to access health data for secondary research use we conclude that data extraction from practice information systems is currently the most promising way due to data availability on a mid-term perspective. Integration of routine data into the national research data infrastructures might be enforced by convergence of to date different information models.PMID:37697833 | DOI:10.3233/SHTI230688
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Marius Koch Jendrik Richter Johannes Hauswaldt Dagmar Krefting Source Type: research

Evaluating Interoperability in German Critical Incident Reporting Systems
CONCLUSION: Improving interoperability is essential for increasing the effectiveness and usability of CIRS. The study suggests a unified data model such as MIM or using Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) resources and expanding SNOMED CT with patient safety-relevant terms for semantic interoperability. Given the current lack of both syntactic and semantic interoperability in CIRS, developing a patient safety ontology is recommended for efficient critical incident analysis too.PMID:37697860 | DOI:10.3233/SHTI230722
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Laura Tetzlaff Anne-Maria Purohit Jacob Spallek Christine Holmberg Thomas Schrader Source Type: research

A Real-Time Eye Tracking System for the Detection of Eye Blinks
DISCUSSION: The proposed system shows promising results under ideal viewing conditions but has difficulty maintaining high precision during head movements. The proposed system could be integrated with various health-related assistance systems to monitor the individual's well-being in real time, as long as their head is observed from the front if possible.PMID:37697858 | DOI:10.3233/SHTI230719
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Anja Witte Christian Lins Source Type: research

Adoption and Determinants of Assistive Technologies in the Real World: Results from the VdK Study
CONCLUSION: It can be concluded that innovative and sophisticated types of assistive technologies are still rather scarcely used for home care arrangements in the real world despite large research efforts in the last twenty years.PMID:37697854 | DOI:10.3233/SHTI230714
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Ursula H übner Ivanna Yalymova Mareike Przysucha Andreas B üscher Source Type: research

Comparison and Incorporation of Reasoning and Learning Approaches for Cancer Therapy Research
Stud Health Technol Inform. 2023 Sep 12;307:161-171. doi: 10.3233/SHTI230709.ABSTRACTRepresenting knowledge in a comprehensible and maintainable way and transparently providing inferences thereof are important issues, especially in the context of applications related to artificial intelligence in medicine. This becomes even more obvious if the knowledge is dynamically growing and changing and when machine learning techniques are being involved. In this paper, we present an approach for representing knowledge about cancer therapies collected over two decades at St.-Johannes-Hospital in Dortmund, Germany. The presented appro...
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Andre Thevapalan Daan Apeldoorn Gabriele Kern-Isberner Ralf G Meyer Mathias Nietzke Torsten Panholzer Source Type: research

Demand Analysis of a German Emergency Medical Service Feedback System
CONCLUSION: A feedback system is strongly desired by various EMS stakeholders and, according to them, could improve both EMS and ED collaboration and overall patient care.PMID:37697843 | DOI:10.3233/SHTI230700
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Marina Keimer Marten Villis Jan Christoph Wolfgang R ödle Source Type: research

Modelling Adverse Events with the TOP Phenotyping Framework
Stud Health Technol Inform. 2023 Sep 12;307:69-77. doi: 10.3233/SHTI230695.ABSTRACTThe detection and prevention of medication-related health risks, such as medication-associated adverse events (AEs), is a major challenge in patient care. A systematic review on the incidence and nature of in-hospital AEs found that 9.2% of hospitalised patients suffer an AE, and approximately 43% of these AEs are considered to be preventable. Adverse events can be identified using algorithms that operate on electronic medical records (EMRs) and research databases. Such algorithms normally consist of structured filter criteria and rules to i...
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Christoph Beger Anna Maria Boehmer Beate Mussawy Louisa Redeker Franz Matthies Ralph Sch äfermeier Annette H ärdtlein Tobias Dreischulte Daniel Neumann Alexandr Uciteli Source Type: research

Onkopipe: A Snakemake Based DNA-Sequencing Pipeline for Clinical Variant Analysis in Precision Medicine
Stud Health Technol Inform. 2023 Sep 12;307:60-68. doi: 10.3233/SHTI230694.ABSTRACTNGS is increasingly used in precision medicine, but an automated sequencing pipeline that can detect different types of variants (single nucleotide - SNV, copy number - CNV, structural - SV) and does not rely on normal samples as germline comparison is needed. To address this, we developed Onkopipe, a Snakemake-based pipeline that integrates quality control, read alignments, BAM pre-processing, and variant calling tools to detect SNV, CNV, and SV in a unified VCF format without matched normal samples. Onkopipe is containerized and provides f...
Source: Studies in Health Technology and Informatics - September 12, 2023 Category: Information Technology Authors: Jingyu Yang Tim Bei ßbarth J ürgen Dönitz Source Type: research