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CC BY-NC-ND 4.0 · Yearb Med Inform 2021; 30(01): 134-140
DOI: 10.1055/s-0041-1726516
Section 3: Clinical Information Systems
Synopsis

Clinical Information Systems Research in the Pandemic Year 2020

An Overview of the CIS Section of the IMIA Yearbook of Medical Informatics
W. O. Hackl
1   Institute of Medical Informatics, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria
,
A. Hoerbst
2   Medical Technologies Department, MCI — The Entrepreneurial School, Innsbruck, Austria
,
Section Editors of the IMIA Yearbook Section on Clinical Information Systems › Institutsangaben
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Summary

Objective: In this synopsis, we give an overview of recent research and propose a selection of best papers published in 2020 in the field of Clinical Information Systems (CIS).

Method: As CIS section editors, we annually apply a systematic process to retrieve articles for the International Medical Informatics Association Yearbook of Medical Informatics. For seven 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 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 an 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 2021 and retrieved a deduplicated result set of 2,787 articles from 1,135 different journals. We nominated 15 papers as candidates and finally selected four 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. Thus, this year we could observe a significant impact of COVID-19 on CIS research.

Conclusions: The trends in CIS research, as seen in recent years, continue to be observable. What was very visible was the impact of the Corona Virus Disease 2019 (COVID-19) pandemic, which has affected not only our lives but also CIS.

Keywords

Medical informatics - International Medical Informatics Association - yearbook - clinical information systems - COVID-19


Publikationsverlauf

Artikel online veröffentlicht:
03. September 2021

© 2021. IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • References

  • 1 Hackl WO, Ganslandt T. Clinical Information Systems as the Backbone of a Complex Information Logistics Process: Findings from the Clinical Information Systems Perspective for 2016. Yearb Med Inform 2017; 26 (01) 103-9
    Thieme ConnectPubMedSuche in Google Scholar
  • 2 Hackl WO, Hoerbst A. On the Way to Close the Loop in Information Logistics: Data from the Patient - Value for the Patient. Yearb Med Inform 2018; 27 (01) 91-7
    Thieme ConnectPubMedSuche in Google Scholar
  • 3 Hackl WO, Hoerbst A. Managing Complexity. From Documentation to Knowledge Integration and Informed Decision Findings from the Clinical Information Systems Perspective for 2018. Yearb Med Inform 2019; Aug 16 28 (01) 95-100
    Thieme ConnectPubMedSuche in Google Scholar
  • 4 Hackl WO, Hoerbst A. Trends in Clinical Information Systems Research in 2019. Yearb Med Inform 2020; 29 (01) 121-8
    Thieme ConnectPubMedSuche in Google Scholar
  • 5 Weemaes M, Martens S, Cuypers L, van Elslande J, Hoet K, Welkenhuysen J. et al. Laboratory information system requirements to manage the COVID-19 pandemic: A report from the Belgian national reference testing center. J Am Med Inform Assoc 2020; 27 (08) 1293-9
    CrossrefPubMedSuche in Google Scholar
  • 6 Fabregat A, Magret M, Ferré JA, Vernet A, Guasch N, Rodríguez A. et al. A Machine Learning decision-making tool for extubation in Intensive Care Unit patients. Comput Methods Programs Biomed 2021; 200: 105869
    CrossrefPubMedSuche in Google Scholar
  • 7 Li Y, Nair P, Lu XH, Wen Z, Wang Y, Dehaghi AAK. et al. Inferring multimodal latent topics from electronic health records. Nat Commun 2020; 11 (01) 2536
    CrossrefPubMedSuche in Google Scholar
  • 8 Kempa-Liehr AW, Lin CYC, Britten R, Armstrong D, Wallace J, Mordaunt D. et al. Healthcare pathway discovery and probabilistic machine learning. Int J Med Inform 2020; 137 May; 104087
    CrossrefPubMedSuche in Google Scholar
  • 9 Waltman L, van Eck NJ, Noyons ECM. A unified approach to mapping and clustering of bibliometric networks. J Informetr 2010; 4 (04) 629-35
    CrossrefPubMedSuche in Google Scholar
  • 10 van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 2010; 84 (02) 523-38
    CrossrefPubMedSuche in Google Scholar
  • 11 Hoque MR, Rahman MS, Nipa NJ, Hasan MR. Mobile health interventions in developing countries: A systematic review. Health Informatics J 2020; 26 (04) 2792-810
    CrossrefPubMedSuche in Google Scholar
  • 12 Quinn CC, Knopp KL, Marsiglia CA, Bearch RC, LeFever A, Barr EA. et al. Mobile Technology Care Coordination of Long-Term Services and Support: Cluster Randomized Clinical Trial. J Appl Gerontol 2021; 40 (05) 529-35
    CrossrefPubMedSuche in Google Scholar
  • 13 Weenk M, Bredie SJ, Koeneman M, Hesselink G, Van Goor H, Van De Belt TH. Continuous monitoring of vital signs in the general ward using wearable devices: Randomized controlled trial. J Med Internet Res 2020; 22 (06) 1-11
    CrossrefPubMedSuche in Google Scholar
  • 14 Muñoz MA, Dal Pan GJ, Wei YJJ, Delcher C, Xiao H, Kortepeter CM. et al. Towards Automating Adverse Event Review: A Prediction Model for Case Report Utility. Drug Saf 2020; 43 (04) 329-38
    CrossrefPubMedSuche in Google Scholar
  • 15 Groenhof TKJ, Koers LR, Blasse E, de Groot M, Grobbee DE, Bots ML. et al. Data mining information from electronic health records produced high yield and accuracy for current smoking status. J Clin Epidemiol 2020; 118: 100-6
    CrossrefPubMedSuche in Google Scholar
  • 16 Zhang PI, Hsu CC, Kao Y, Chen CJ, Kuo YW, Hsu SL. et al. Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain. Scand J Trauma Resusc Emerg Med 2020; 28 (01) 1-7
    CrossrefPubMedSuche in Google Scholar
  • 17 Everson J, Butler E. Hospital adoption of multiple health information exchange approaches and information accessibility. J Am Med Inform Assoc 2020; 27 (04) 577-83
    CrossrefPubMedSuche in Google Scholar
  • 18 Mosher ZA, Hudson PW, Lee SR, Perez JL, Arguello AM, McGwin G. et al. Check-in Kiosks in the Outpatient Clinical Setting: Fad or the Future?. South Med J 2020; 113 (03) 134-9
    CrossrefPubMedSuche in Google Scholar
  • 19 Bersani K, Fuller TE, Garabedian P, Espares J, Mlaver E, Businger A. et al. Use, Perceived Usability, and Barriers to Implementation of a Patient Safety Dashboard Integrated within a Vendor EHR. Appl Clin Inform 2020; 11 (01) 34-45
    Thieme ConnectPubMedSuche in Google Scholar
  • 20 Hasselgren A, Kralevska K, Gligoroski D, Pedersen SA, Faxvaag A. Blockchain in healthcare and health sciences’A scoping review. Int J Med Inform 2020; 134 (November 2019): 104040
    CrossrefPubMedSuche in Google Scholar
  • 21 Esther Omolara A, Jantan A, Abiodun OI, Arshad H, Dada KV, Emmanuel E. HoneyDetails: A prototype for ensuring patient‘s information privacy and thwarting electronic health record threats based on decoys. Health Informatics J 2020; 26 (03) 2083-104
    CrossrefPubMedSuche in Google Scholar
  • 22 Reeves JJ, Pageler NM, Wick E, Melton GB, Tan G, Clay BJ. et al. The Clinical Information Systems Response to the COVID-19 Pandemic. Yearb Med Inform 2021; 105-25
    PubMedSuche in Google Scholar