Your browser doesn't support javascript.
Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview.
Dagliati, Arianna; Malovini, Alberto; Tibollo, Valentina; Bellazzi, Riccardo.
  • Dagliati A; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy.
  • Malovini A; IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy.
  • Tibollo V; IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy.
  • Bellazzi R; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy.
Brief Bioinform ; 22(2): 812-822, 2021 03 22.
Article in English | MEDLINE | ID: covidwho-1343653
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major challenges and threats for humankind need to be addressed with global answers and shared decisions. Data and their analytics are crucial components of such decision-making activities. Rather interestingly, one of the most difficult aspects is reusing and sharing of accurate and detailed clinical data collected by Electronic Health Records (EHR), even if these data have a paramount importance. EHR data, in fact, are not only essential for supporting day-by-day activities, but also they can leverage research and support critical decisions about effectiveness of drugs and therapeutic strategies. In this paper, we will concentrate our attention on collaborative data infrastructures to support COVID-19 research and on the open issues of data sharing and data governance that COVID-19 had made emerge. Data interoperability, healthcare processes modelling and representation, shared procedures to deal with different data privacy regulations, and data stewardship and governance are seen as the most important aspects to boost collaborative research. Lessons learned from COVID-19 pandemic can be a strong element to improve international research and our future capability of dealing with fast developing emergencies and needs, which are likely to be more frequent in the future in our connected and intertwined world.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Medical Informatics / Electronic Health Records / Pandemics / COVID-19 Subject: Medical Informatics / Electronic Health Records / Pandemics / COVID-19 Type of study: Prognostic study Language: English Journal: Brief Bioinform Year: 2021

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Medical Informatics / Electronic Health Records / Pandemics / COVID-19 Subject: Medical Informatics / Electronic Health Records / Pandemics / COVID-19 Type of study: Prognostic study Language: English Journal: Brief Bioinform Year: 2021
...