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  1. Article ; Online: Exploring Opportunities for Clinical Data Warehouse Enhancement Through Data Catalog Integration.

    Walker, Andreas / Hackl, Werner O / Pfeifer, Bernhard

    Studies in health technology and informatics

    2024  Volume 313, Page(s) 198–202

    Abstract: Secondary use of clinical health data implies a prior integration of mostly heterogenous and multidimensional data sets. A clinical data warehouse addresses the technological and organizational framework conditions required for this, by making any data ... ...

    Abstract Secondary use of clinical health data implies a prior integration of mostly heterogenous and multidimensional data sets. A clinical data warehouse addresses the technological and organizational framework conditions required for this, by making any data available for analysis. However, users of a data warehouse often do not have a comprehensive overview of all available data and only know about their own data in their own systems - a situation which is also referred to as 'data siloed state'. This problem can be addressed and ultimately solved by implementation of a data catalog. Its core function is a search engine, which allows for searching the metadata collected from different data sources and thereby accessing all data there is. With this in mind, we conducted an explorative online market survey followed by vendor comparison as a pre-requisite for system selection of a data catalog. Assessment of vendor performance was based on seven predetermined and weighted selection criteria. Although three vendors achieved the highest score, results were lying closely together. Detailed investigations and test installations are needed for further narrowing down the selection process.
    MeSH term(s) Data Warehousing ; Electronic Health Records ; Search Engine ; Humans ; Information Storage and Retrieval/methods ; Metadata
    Language English
    Publishing date 2024-04-30
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI240037
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Unveiling the Surge: A Comprehensive Analysis of the Stimulating Impact of the Covid-19 Pandemic on Telemedicine and Its Academic Landscape.

    Hackl, Werner O / Neururer, Sabrina B / Pfeifer, Bernhard

    Studies in health technology and informatics

    2024  Volume 313, Page(s) 209–214

    Abstract: The Covid-19 pandemic spurred an unprecedented shift towards digitalization, prompting a surge in telehealth practices. This paper explores the impact of the pandemic on telemedicine through a comprehensive analysis of scientific publications. Utilizing ... ...

    Abstract The Covid-19 pandemic spurred an unprecedented shift towards digitalization, prompting a surge in telehealth practices. This paper explores the impact of the pandemic on telemedicine through a comprehensive analysis of scientific publications. Utilizing a bibliometric approach, the study examines trends in telemedicine research before and after the onset of Covid-19. The systematic search in PubMed yielded 8,454 pre-Covid-19 publications (2016-2019) and 16,633 post-Covid-19 publications (2020-2023). A total of 21,989 distinct keywords were extracted. Co-occurrence maps reveal evolving thematic clusters, with "mhealth" and "ehealth" dominating pre-Covid-19, while "Covid-19" emerges as a top keyword post-pandemic. The Top-10 keywords shift post-Covid-19, reflecting dynamic research priorities. The bibliometric approach illuminates a heightened exploration of telehealth solutions post-pandemic, emphasizing the enduring impact of the crisis on academic discourse. Changes in key terms and shifts in key term ranking indicate dynamic research priorities and a broader consideration of multidimensional healthcare challenges. Acknowledging study limitations, the analysis offers a high-level perspective, focusing on authors' keywords. Despite challenges, the study provides a systematic overview, revealing the emergence of new telemedicine application domains and the need for further in-depth analyses. Future research directions may explore the ecological impact of telemedicine applications and other intriguing aspects, contributing to a comprehensive understanding of telemedicine's scholarly trajectory.
    MeSH term(s) COVID-19/epidemiology ; Telemedicine ; Humans ; Bibliometrics ; Pandemics ; SARS-CoV-2
    Language English
    Publishing date 2024-04-30
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI240039
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Conference proceedings: Exploring complexity in health

    Hoerbst, Alexander / Hackl, Werner O. / de Keizer, Nicolette / Prokosch, Hans-Ulrich / Hercigonja-Szkeres, Mira / Lusignan, Simon de

    an interdisciplinary systems approach : proceedings of MIE2016 at HEC2016

    (Studies in health technology and informatics ; 228)

    2016  

    Event/congress Medical Informatics Europe Conference (27., 2016, München) ; HEC: Health - Exploring Complexity: An Interdisciplinary Systems Approach (2016, München)
    Author's details edited by Alexander Hoerbst, Werner O. Hackl, Nicolette de Keizer, Hans-Ulrich Prokosch, Mira Hercigonja-Szekeres, Simon de Lusignan
    Series title Studies in health technology and informatics ; 228
    Collection
    Language English
    Size xxiv, 827 Seiten, Illustrationen, Diagramme
    Publisher IOS Press
    Publishing place Amsterdam
    Publishing country Netherlands
    Document type Book ; Conference proceedings
    HBZ-ID HT019085645
    ISBN 978-1-61499-677-4 ; 9781614996781 ; 1-61499-677-6 ; 1614996784
    Database Catalogue ZB MED Medicine, Health

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  4. Book ; Online ; Conference proceedings: Exploring complexity in health

    de Keizer, Nicolette / Lusignan, Simon de / Hoerbst, Alexander / Hackl, Werner O. / Prokosch, Hans-Ulrich / Hercigonja-Szekeres, Mira

    an interdisciplinary systems approach : proceedings of MIE2016 at HEC2016

    (Studies in health technology and informatics ; 228)

    2016  

    Event/congress Medical Informatics Europe Conference (27., 2016, München)
    Author's details MIE 2016 ; edited by Alexander Hoerbst, Werner O. Hackl, Nicolette de Keizer, Hans-Ulrich Prokosch, Mira Hercigonja-Szekeres, Simon de Lusignan
    Series title Studies in health technology and informatics ; 228
    Collection
    Language English
    Size 1 Online-Ressource (xxiv, 852 Seiten)
    Publisher IOS Press
    Publishing place Amsterdam ; Berlin ; Washington, DC
    Publishing country Netherlands
    Document type Book ; Online ; Conference proceedings
    HBZ-ID HT019101454
    ISBN 978-1-61499-678-1 ; 9781614996774 ; 1-61499-678-4 ; 1614996776
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Article ; Online: "All Quiet on the Western Front" - Clinical Information Systems Research in the Year 2021.

    Hackl, Werner O / Hoerbst, Alexander

    Yearbook of medical informatics

    2022  Volume 31, Issue 1, Page(s) 146–150

    Abstract: Objectives: In this synopsis, we give an overview of recent research and propose a selection of best papers published in 2021 in the field of Clinical Information Systems (CIS).: Method: As CIS section editors, we annually apply a systematic process ... ...

    Abstract Objectives: In this synopsis, we give an overview of recent research and propose a selection of best papers published in 2021 in the field of Clinical Information Systems (CIS).
    Method: As CIS section editors, we annually apply a systematic process to retrieve articles for the IMIA Yearbook of Medical Informatics. For eight years now, we use the same query to find relevant publications in the CIS field. Each year we retrieve more than 2,400 papers which we categorize in a multi-pass review to distill a preselection of up to 15 candidate papers. External reviewers and yearbook editors then assess the selected candidate papers. Based on the review results, the IMIA Yearbook editorial board chooses up to four best publications for the section at a selection meeting. To get a comprehensive overview of the content of the retrieved articles, we use text mining and term co-occurrence mapping techniques.
    Results: We carried out the query in mid-January 2022 and retrieved a deduplicated result set of 2,688 articles from 1,062 different journals. This year, we nominated ten papers as candidates and finally selected two of them as the best papers in the CIS section. As in the previous years, the content analysis of the articles revealed the broad spectrum of topics covered by CIS research, but - on the other side - no real innovations or new upcoming research trends. However, the significant impact of COVID-19 on CIS research was observable also this year.
    Conclusions: The trends in CIS research, as seen in recent years, continue to be observable. The content analysis revealed nothing really new in the CIS domain. What was very visible was the impact of the COVID-19 pandemic, which still effects our lives and also CIS.
    MeSH term(s) Humans ; COVID-19 ; Information Systems ; Medical Informatics ; Pandemics
    Language English
    Publishing date 2022-12-04
    Publishing country Germany
    Document type Review ; Journal Article
    ZDB-ID 2251229-9
    ISSN 2364-0502 ; 2364-0502
    ISSN (online) 2364-0502
    ISSN 2364-0502
    DOI 10.1055/s-0042-1742532
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Understanding IT in Healthcare: Relevance and Training Needs of IT in Private Medical Practice.

    Schweitzer, Marco / Hackl, Werner O / Neururer, Sabrina B / Pfeifer, Bernhard

    Studies in health technology and informatics

    2024  Volume 313, Page(s) 173–178

    Abstract: Background: The integration of Information Technology (IT) into private medical practice is crucial in modern healthcare. Physicians managing office-related IT without proper knowledge risk operational inefficiencies and security.: Objectives: This ... ...

    Abstract Background: The integration of Information Technology (IT) into private medical practice is crucial in modern healthcare. Physicians managing office-related IT without proper knowledge risk operational inefficiencies and security.
    Objectives: This study determines the relevance of specific IT topics in medical practice and identifies the training needs of physicians for enhancing IT competencies in healthcare.
    Methods: In March 2023 a cross-sectional online survey was conducted with physicians comprising nine IT-related topics in Tyrol, Austria.
    Results: The survey results highlighted a strong perceived relevance and high demand for IT education among physicians working in their medical practice, especially in areas of core medical IT and security. The majority of responses indicated high relevance (76.7%) and high demand (69.7%) for IT topics in medical practice.
    Conclusion: The findings underscore a significant need for targeted IT training and support in medical practices, particularly in areas related to the medical practice and security. Addressing these needs could lead to improved healthcare delivery and better management of technological resources in the healthcare sector.
    MeSH term(s) Cross-Sectional Studies ; Austria ; Private Practice ; Humans ; Surveys and Questionnaires ; Medical Informatics/education
    Language English
    Publishing date 2024-04-30
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI240033
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Quality and Effectiveness of AI Tools for Students and Researchers for Scientific Literature Review and Analysis.

    Danler, Martin / Hackl, Werner O / Neururer, Sabrina B / Pfeifer, Bernhard

    Studies in health technology and informatics

    2024  Volume 313, Page(s) 203–208

    Abstract: This study scrutinizes free AI tools tailored for supporting literature review and analysis in academic research, emphasizing their response to direct inquiries. Through a targeted keyword search, we cataloged relevant AI tools and evaluated their output ...

    Abstract This study scrutinizes free AI tools tailored for supporting literature review and analysis in academic research, emphasizing their response to direct inquiries. Through a targeted keyword search, we cataloged relevant AI tools and evaluated their output variation and source validity. Our results reveal a spectrum of response qualities, with some tools integrating non-academic sources and others depending on outdated information. Notably, most tools showed a lack of transparency in source selection. Our study highlights two key limitations: the exclusion of commercial AI tools and the focus solely on tools that accept direct research queries. This raises questions about the potential capabilities of paid tools and the efficacy of combining various AI tools for enhanced research outcomes. Future research should explore the integration of diverse AI tools, assess the impact of commercial tools, and investigate the algorithms behind response variability. This study contributes to a better understanding of AI's role in academic research, emphasizing the importance of careful selection and critical evaluation of these tools in academic endeavors.
    MeSH term(s) Artificial Intelligence ; Students ; Humans ; Research Personnel ; Review Literature as Topic
    Language English
    Publishing date 2024-04-30
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI240038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Telemedicine Research from Big Bang to 2022.

    Hackl, Werner O / Neururer, Sabrina B / Pfeifer, Bernhard

    Studies in health technology and informatics

    2023  Volume 301, Page(s) 220–224

    Abstract: The Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics systematically screens about 2,500 publications from more than 1,000 journals annually to find the best CIS publications. The editors of the CIS section have ... ...

    Abstract The Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics systematically screens about 2,500 publications from more than 1,000 journals annually to find the best CIS publications. The editors of the CIS section have noticed a trend toward patient-centered care supported by AI and machine learning and increased research in cross-institutional data sharing, particularly in telemedicine. As a result, they adjusted their search query to include the MeSH term "telemedicine." As a preliminary step and to get a sense of the historical development of telemedicine research activity, they performed a bibliometric analysis of all previously published papers in PubMed indexed with the tag "Telemedicine" as MeSH Major Topic. They retrieved 29,289 publications from 1976 to 2022 and used their titles and abstracts to create a bibliometric network that visualizes the most relevant terms, their frequency and relationship to each other, and the chronological sequence of their publication. The development over time also shows a clear move toward patient-centeredness. Interestingly, the term "Covid," which has only recently come into use, takes on a central role in the network.
    MeSH term(s) Humans ; COVID-19 ; Medical Informatics ; Machine Learning ; Telemedicine ; Bibliometrics
    Language English
    Publishing date 2023-05-12
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230043
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications.

    Hackl, Werner O / Neururer, Sabrina B / Pfeifer, Bernhard

    Yearbook of medical informatics

    2023  Volume 32, Issue 1, Page(s) 127–137

    Abstract: Objective: In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2022 in the CIS field.: Methods: The ... ...

    Abstract Objective: In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2022 in the CIS field.
    Methods: The editors follow a systematic approach to gather relevant articles and select the best papers for the section. This year, they updated the query to incorporate the topic of telemedicine and removed search terms related to geographic information systems. The revised query resulted in a larger number of identified papers, necessitating the appointment of a third section editor to handle the increased workload. The editors narrowed the initial pool of articles to 15 candidate papers through a multi-stage selection process. At least seven independent reviews were collected for each candidate paper, and a selection meeting with the IMIA Yearbook editorial board led to the final selection of the best papers for the CIS section.
    Results: The query was carried out in mid-January 2023 and retrieved a deduplicated result set of 5,206 articles from 1,500 journals. This year, 15 papers were nominated as candidates, and four were finally selected as the best papers in the CIS section.Including telemedicine in the query resulted in a substantial increase in the number of papers found. The analysis highlights the growing convergence between clinical information systems and telemedicine, with mobile health (mHealth) technologies and data science applications gaining prominence. The selected candidate papers emphasize the practical impact of research efforts, focusing on patient-centric outcomes and benefits, including intelligent mobile health monitoring systems and AI-assisted decision-making in healthcare.
    Conclusions: Looking ahead, the field of CIS is expected to continue evolving, driven by advances in telemedicine, mHealth technologies, data science, and AI integration, leading to more efficient, patient-oriented, and intelligent healthcare systems and overall improvement of global healthcare outcomes.
    MeSH term(s) Humans ; Artificial Intelligence ; Data Science ; Information Systems ; Medical Informatics ; Power, Psychological ; Telemedicine
    Language English
    Publishing date 2023-12-26
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2251229-9
    ISSN 2364-0502 ; 2364-0502
    ISSN (online) 2364-0502
    ISSN 2364-0502
    DOI 10.1055/s-0043-1768756
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Making a Virtue of Necessity - A Highly Structured Clinical Data Warehouse as the Source of Assured Truth in a Hospital.

    Hackl, Werner O / Neururer, Sabrina B / Schweitzer, Marco / Pfeifer, Bernhard

    Studies in health technology and informatics

    2023  Volume 301, Page(s) 180–185

    Abstract: Data-driven decision-making in health care is becoming increasingly important in daily clinical use. A data warehouse, storing all the clinically relevant information in a highly structured way, is a primary basis for achieving this goal. We are ... ...

    Abstract Data-driven decision-making in health care is becoming increasingly important in daily clinical use. A data warehouse, storing all the clinically relevant information in a highly structured way, is a primary basis for achieving this goal. We are developing a clinical data warehouse where more than 20 years of clinical data can be persisted, and newly generated data from different sources can be integrated. A back room was created to store all hospital information system data in a PostgreSQL database. Due to the enormous number of diverse forms in the hospital information system, a broker service was developed that integrates the individual data sources into the data warehouse as soon as they are released for storage. The front room represents the interface from the infrastructure to the targeted analysis. Database query and visualization tools or business intelligence tools can display and analyze processed and interleaved data. In all areas of business and medicine, structured and quality-adjusted data is of major importance. With the help of a clinical data warehouse system, it is possible to perform patient-centered analyses and thus realize optimal therapy. Furthermore, it is possible to provide staff and management with dashboards for control purposes.
    MeSH term(s) Humans ; Data Warehousing ; Virtues ; Databases, Factual ; Hospital Information Systems ; Hospitals
    Language English
    Publishing date 2023-05-12
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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