Section and Section Project Group
The Data Science section’s mission is to promote techniques and technology to improve outcomes by turning data into better care.
Its goals are to:
- Provide education for clinicians interested in developing or appraising new technology.
- Promote research into clinical applications of data-driven healthcare, encouraging translation of novel computing and artificial intelligence techniques.
- Drive data-sharing across Europe in a legal, ethical and publicly-acceptable way.
- Promote standard setting (e.g. for Electronic Medical Records) and benchmarking, as well as ensuring technology is aligned to the needs of patients and clinicians.
- Create a collaborative framework, facilitating the collaboration of ICU professionals, data scientists, engineers, legal and ethical experts, as well as engaging industry partners for patient benefit.
If you are an ESICM member interested in data science, including electronic health records, information technology, big data analysis or machine learning, you may be interested in joining the Data Science Section. You can do this by selecting the Data Science as a section of interest/voting section in your member info, by logging into your membership profile here.
Additionally, the Data Science Section aims to have at least one intensivist per intensive care unit in Europe as a contact person. The Data Science Section will primarily invite these contact persons to participate in important matters related to electronic health care use and data sharing.
If you would like to be the contact person for your ICU, please contact the Section Chair, Ari Ercole, or Deputy Chair, Paul Elbers, directly.
Technology Assessment and Health Informatics (TAHI).
This group is chaired by Theodoros Kyprianou and Marius Terblanche.
TAHI plays a regular role in the ESICM by contributing to the major meetings.
The TAHI group holds its annual meeting at the ESICM congress and launched the highly popular “Tech Lounge” at LIVES 2018 in Vienna.
Research – Trials
iCareWean “Weaning from mechanical ventilation: comparison of open-loop decision support system and routine care, in general medical ICU”.
Research – Surveys
What is the influence of Wikipedia and other web resources on acute and critical care decisions? This survey evaluated how important Wikipedia, Google and other web resources have become in the daily work of intensive care professionals.