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Clinical Information Systems Research in the Pandemic Year 2020.
Hackl, W O; Hoerbst, A.
  • Hackl WO; Institute of Medical Informatics, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
  • Hoerbst A; Medical Technologies Department, MCI - The Entrepreneurial School, Innsbruck, Austria.
Yearb Med Inform ; 30(1): 134-140, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1392948
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Information Systems / COVID-19 Type of study: Prognostic study / Qualitative research / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Yearb Med Inform Year: 2021 Document Type: Article Affiliation country: S-0041-1726516

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Information Systems / COVID-19 Type of study: Prognostic study / Qualitative research / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Yearb Med Inform Year: 2021 Document Type: Article Affiliation country: S-0041-1726516