Clinical Information Systems Research in the Pandemic Year 2020

Hackl, Werner O.; Hoerbst, Alexander

doi:10.1055/s-0041-1726516

Cited by 6 publications

(3 citation statements)

References 23 publications

(32 reference statements)

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“…The COVID-19 pandemic has significantly influenced scientific research in the CIS field, as evident from its extensive impact [6]. However, in the past year, we also observed no notable breakthroughs or innovative changes regarding methodologies, algorithms, tools, or applications for diagnostic or therapeutic purposes.…”

Section: Introductionmentioning

confidence: 66%

Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications

Hackl,

Neururer,

Pfeifer

2023

Yearb Med Inform

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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.

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Section: Introductionmentioning

confidence: 66%

Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications

Hackl,

Neururer,

Pfeifer

2023

Yearb Med Inform

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“…In recent years, there has been a clear trend away from "simple" clinical documentation towards patient-centered but artificial intelligence and machine learning-supported patient care [1][2][3][4][5]. The COVID pandemic has tremendously impacted the publication landscape in the last few years [6,7].…”

Section: Introductionmentioning

confidence: 99%

Telemedicine Research from Big Bang to 2022

2023

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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.

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“…Whereas documentation tasks, information transfer and exchange, service documentation, or legal protection used to be the leading interest for physicians and hospital operators in the past, today, the patient and the patient's needs are placed at the center. The trend is clearly moving towards patient-centered knowledge generation, trans-institutional information sharing, intelligent clinical data analytics capabilities, artificial intelligence, machine learning, and support of informed decisionmaking [1,2]. In addition, special patient portals that enable patients to enter data into or retrieve information from clinical documentation systems themselves are finding their way into everyday clinical practice [3].…”

Section: Introductionmentioning

confidence: 99%

Making a Virtue of Necessity – A Highly Structured Clinical Data Warehouse as the Source of Assured Truth in a Hospital

et al. 2023

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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.

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Clinical Information Systems Research in the Pandemic Year 2020

Cited by 6 publications

References 23 publications

Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications

Transforming Clinical Information Systems: Empowering Healthcare through Telemedicine, Data Science, and Artificial Intelligence Applications

Telemedicine Research from Big Bang to 2022

Making a Virtue of Necessity – A Highly Structured Clinical Data Warehouse as the Source of Assured Truth in a Hospital

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