The Potential of Big Data Research in HealthCare for Medical Doctors' Learning.
The main goal of this article is to identify the main dimensions of a model proposal for increasing the potential of big data research in Healthcare for medical doctors' (MDs') learning, which appears as a major issue in continuous medical education and learning. The paper employs a systematic liter...
| Publicado en: | Journal of Medical Systems Vol. 45; no. 1; pp. 1 - 15 |
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| Autores principales: | , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Springer Nature
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=147997210&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 147997210 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 2021 vid: 45 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 147997210 147997210 147997210 10.1007/s10916-020-01691-7 147997210 ppf: 1 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The Potential of Big Data Research in HealthCare for Medical Doctors' Learning. aug: au: Au-Yong-Oliveira, Manuel Pesqueira, Antonio Sousa, Maria José Dal Mas, Francesca Soliman, Mohammad affil: INESC TEC, GOVCOPP, Department of Economics, Management, Industrial Engineering and Tourism, University of Aveiro, Aveiro, Portugal sug: subj: Physicians Education Learning Health Care Delivery Data Analytics Research, Medical Models, Theoretical Human Systematic Review PubMed Education, Medical, Continuing Data Analysis Software Authorship Forecasting Diffusion of Innovation Intelligence Decision Making, Clinical Disease Diagnosis Disease Therapy Quality Improvement Medical Practice, Evidence-Based Resource Databases Health Care Industry Medline Funding Source ab: The main goal of this article is to identify the main dimensions of a model proposal for increasing the potential of big data research in Healthcare for medical doctors' (MDs') learning, which appears as a major issue in continuous medical education and learning. The paper employs a systematic literature review of main scientific databases (PubMed and Google Scholar), using the VOSviewer software tool, which enables the visualization of scientific landscapes. The analysis includes a co-authorship data analysis as well as the co-occurrence of terms and keywords. The results lead to the construction of the learning model proposed, which includes four health big data key areas for MDs' learning: 1) data transformation is related to the learning that occurs through medical systems; 2) health intelligence includes the learning regarding health innovation based on predictions and forecasting processes; 3) data leveraging regards the learning about patient information; and 4) the learning process is related to clinical decision-making, focused on disease diagnosis and methods to improve treatments. Practical models gathered from the scientific databases can boost the learning process and revolutionise the medical industry, as they store the most recent knowledge and innovative research. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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