A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics

Chen, Donghua; Zhang, Runtong; Zhao, Hongmei; Feng, Jiayi

doi:10.1155/2019/1649363

Cited by 12 publications

(8 citation statements)

References 44 publications

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“…The bibliometric method is apt for this study due to its ability to decrypt and map amassed knowledge and tinges of the established field to afford insight from an enormous volume of unstructured data in a robust mode, hence, the reason for its adoption [ 36 ]. Correspondingly, it aligns with similar studies in the healthcare and health information system arena that have afforded great findings [ 26 , 39 , 43 , 44 , 45 ].…”

Section: Methodssupporting

confidence: 84%

Health Information System and Health Care Applications Performance in the Healthcare Arena: A Bibliometric Analysis

2022

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There have been several studies centred on health information systems with many insights provided to enhance health care applications globally. These studies have provided theoretical schemes for fortifying the enactment and utilisation of the Health Information System (HIS). In addition, these research studies contribute greatly to the development of HIS in alignment with major stakeholders such as health practitioners and recipients of health care. Conversely, there has been trepidation about HIS’ sustainability and resilience for healthcare applications in the era of digitalization and globalization. Hence, this paper investigates research on HIS with a primary focus on health care applications to ascertain its sustainability and resilience amidst the transformation of the global healthcare space. Therefore, using a bibliometric approach, this paper measures the performance of health information systems and healthcare for health care applications using bibliometric data from the web of science database. The findings reveal solid evidence of the constructive transformation of health information systems and health care applications in the healthcare arena, providing ample evidence of the adaptation of HIS and health care applications within the healthcare arena to the fourth industrial revolution and, additionally, revealing the resilient alignment of health care applications and health information systems.

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Section: Methodssupporting

confidence: 84%

Health Information System and Health Care Applications Performance in the Healthcare Arena: A Bibliometric Analysis

2022

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“…The indexing was first used to search for the results across disciplines. Past studies of bibliometric included Baker et al ( 2019 ), Shukla et al ( 2020 ), Yao et al ( 2020 ) and Chen et al ( 2019 ) which utilised the WoS database comprising of science, social science, arts, and humanities field. Besides the WoS, there are other database websites, such as ScienceDirect, Elsevier's Scopus, IEEE Explore, Google Scholar, and Springer.…”

Section: Methodsmentioning

confidence: 99%

Towards a systematic description of the field using bibliometric analysis: malware evolution

et al. 2021

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Malware is a blanket term for Trojan, viruses, spyware, worms, and other files that are purposely created to harm computers, mobile devices, or computer networks. Malware commonly steals, encrypts, damages, and causes a mess in these devices. The growth of malware attacks has a consequence on the growth and attractiveness of mobile features in mobile devices. Most malware research aims to probe the different methods of preventing, analysing, and detecting malware attacks. This paper aims to demonstrate an exhaustive knowledge map of the Android malware by collecting a ten (10) year dataset from the Web of Science database. A bibliometric analysis was employed for analysing articles published between 2010 and 2019. Using the keyword "malware", 5622 articles were retrieved. After scrutinising with the keywords of "Android malware", 1278 articles were then collected. This study provides an overview of the articles, productivity, research area, the Web of Science categories, authors, high-cited articles, institutions, and impact journals examining malware. Research activities are continued by placing terms in the classification of malware detection systems that outline important areas in malware research. From the analysis, it can be concluded that the highest number of publications focusing on malware studies came from the continent of Asia. Additionally, this study discusses the challenges of malware studies in the recent research studies as well as the future direction.

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“…As a classification designed with input from clinicians and agencies responsible for providing and administering health care, ICD-11-MMS is uniquely adapted to enable coherent and useful summarization of large volumes of disease data [ 43 ]. The data may originate in manual or electronic health records and be coded directly to ICD-11-MMS or via a structured terminology, such as SNOMED CT.…”

Section: Main Textmentioning

confidence: 99%

ICD-11: an international classification of diseases for the twenty-first century

Harrison

Weber

Jakob

et al. 2021

BMC Med Inform Decis Mak

224

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Background The International Classification of Diseases (ICD) has long been the main basis for comparability of statistics on causes of mortality and morbidity between places and over time. This paper provides an overview of the recently completed 11th revision of the ICD, focusing on the main innovations and their implications. Main text Changes in content reflect knowledge and perspectives on diseases and their causes that have emerged since ICD-10 was developed about 30 years ago. Changes in design and structure reflect the arrival of the networked digital era, for which ICD-11 has been prepared. ICD-11’s information framework comprises a semantic knowledge base (the Foundation), a biomedical ontology linked to the Foundation and classifications derived from the Foundation. ICD-11 for Mortality and Morbidity Statistics (ICD-11-MMS) is the primary derived classification and the main successor to ICD-10. Innovations enabled by the new architecture include an online coding tool (replacing the index and providing additional functions), an application program interface to enable remote access to ICD-11 content and services, enhanced capability to capture and combine clinically relevant characteristics of cases and integrated support for multiple languages. Conclusions ICD-11 was adopted by the World Health Assembly in May 2019. Transition to implementation is in progress. ICD-11 can be accessed at icd.who.int.

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A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics

Cited by 12 publications

References 44 publications

Health Information System and Health Care Applications Performance in the Healthcare Arena: A Bibliometric Analysis

Health Information System and Health Care Applications Performance in the Healthcare Arena: A Bibliometric Analysis

Towards a systematic description of the field using bibliometric analysis: malware evolution

ICD-11: an international classification of diseases for the twenty-first century

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