scholarly journals European Federation for Medical Informatics (EFMI) - A Brief Outline

2014 ◽  
Vol 23 (01) ◽  
pp. 306-307
Author(s):  
Alexander Hörbst ◽  
Patrick Weber ◽  
Anne Moen
2019 ◽  
Vol 28 (01) ◽  
pp. 263-265

President Dr. Christoph Lehmann, United States (2017–2019) President elect Dr. Sabine Koch, Sweden (2017–201 9) Past President Dr. Hyeoun-Ae Park, South Korea (2017–2019) Secretary Dr. Petter Hurlen, Norway (2015–2021) Treasurer Johanna Westbrook, Australia (2017–2020) Vice Presidents MedInfoDr. Patrick Weber, Switzerland (2017–2019)MembershipDr. Daniel Luna, Argentina (2018–2021)ServicesDr. Brigitte Seroussi, France (2016–2019)Special AffairsDr. Elizabeth Borycki, Canada (2016–2019)Working & Special Interest Groups Dr. Ying (Helen) Wu, China (2016–2019) CEO Elaine Huesing, Canada IMIA Web site: www.imia.org Regional Vice Presidents to IMIA APAMI: Asia Pacific Association for Medical Informatics Dr. Vajira Dissanayake, Sri Lanka EFMI: European Federation for Medical Informatics Dr. Christian Lovis, Switzerland HELINA: Pan African Health Informatics Association Dr. Ghislain Kouematchoua Tchuitcheu, Germany/Cameroon IMIA-LAC: Health Informatics Association for Latin America and the Caribbean Marcelo Lucio da Silva, Brazil MENAHIA: Middle East and North African Health Informatics Association Dr. Riyad Al Shammari, Saudi Arabia North American Region Andre Kushniruk, Canada IMIA Liaison Officers, ex officio WHO Liaison OfficerDr. Antoine Geissbuhler, SwitzerlandIFIP Liaison OfficerDr. Hiroshi Takeda, JapanISO Liaison OfficerDr. Michio Kimura, Japan


2018 ◽  
Vol 57 (04) ◽  
pp. 194-196
Author(s):  
Nuria Oliver ◽  
Michael Marschollek ◽  
Oscar Mayora

Summary Introduction: This accompanying editorial provides a brief introduction to this focus theme, focused on “Machine Learning and Data Analytics in Pervasive Health”. Objective: The innovative use of machine learning technologies combining small and big data analytics will support a better provisioning of healthcare to citizens. This focus theme aims to present contributions at the crossroads of pervasive health technologies and data analytics as key enablers for achieving personalised medicine for diagnosis and treatment purposes. Methods: A call for paper was announced to all participants of the “11th International Conference on Pervasive Computing Technologies for Healthcare”, to different working groups of the International Medical Informatics Association (IMIA) and European Federation of Medical Informatics (EFMI) and was published in June 2017 on the website of Methods of Information in Medicine. A peer review process was conducted to select the papers for this focus theme. Results: Four papers were selected to be included in this focus theme. The paper topics cover a broad range of machine learning and data analytics applications in healthcare including detection of injurious subtypes of patient-ventilator asynchrony, early detection of cognitive impairment, effective use of small data sets for estimating the performance of radiotherapy in bladder cancer treatment, and the use negation detection in and information extraction from unstructured medical texts. Conclusions: The use of machine learning and data analytics technologies in healthcare is facing a renewed impulse due to the availability of large amounts and new sources of human behavioral and physiological data, such as that captured by mobile and pervasive devices traditionally considered as nonmainstream for healthcare provision and management.


2018 ◽  
Vol 27 (01) ◽  
pp. 025-028
Author(s):  
Andrew Georgiou ◽  
Farah Magrabi ◽  
Hannele Hyppönen ◽  
Zoie Wong ◽  
Pirkko Nykänen ◽  
...  

Objectives: The paper draws attention to: i) key considerations involving the confidentiality, privacy, and security of shared data; and ii) the requirements needed to build collaborative arrangements encompassing all stakeholders with the goal of ensuring safe, secure, and quality use of shared data. Method: A narrative review of existing research and policy approaches along with expert perspectives drawn from the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development in Health Care and the European Federation for Medical Informatics (EFMI) Working Group for Assessment of Health Information Systems. Results: The technological ability to merge, link, re-use, and exchange data has outpaced the establishment of policies, procedures, and processes to monitor the ethics and legality of shared use of data. Questions remain about how to guarantee the security of shared data, and how to establish and maintain public trust across large-scale shared data enterprises. This paper identifies the importance of data governance frameworks (incorporating engagement with all stakeholders) to underpin the management of the ethics and legality of shared data use. The paper also provides some key considerations for the establishment of national approaches and measures to monitor compliance with best practice. Conclusion: Data sharing endeavours can help to underpin new collaborative models of health care which provide shared information, engagement, and accountability amongst all stakeholders. We believe that commitment to rigorous evaluation and stakeholder engagement will be critical to delivering health data benefits and the establishment of collaborative models of health care into the future.


Author(s):  
Elske Ammenwerth

Background: European universities offer a variety of programs in Medical Informatics. The Europen Federation of Medical Informatics (EFMI) offers accreditation of these programs. Objectives: To describe the process of EFMI accreditation of a new Austrian master’s program and reflect on accreditation benefits. Methods: Reflection on feedback and experiences at UMIT TIROL Results: Accreditation needs quite some preparation but offers essential opportunities for self-reflection and feedback by international experts. Conclusion: Besides national accreditation, medical informatics programs can benefit from the accreditation through international organizations.


2020 ◽  
Vol 29 (01) ◽  
pp. 259-260

BOARD President Sabine Koch, Sweden (2019 - 2021) President elect Jack Li, Taiwan (2019 - 2021) Past President Chris Lehmann, United States (2019 - 2021) Secretary Dr. Petter Hurlen, Norway (2015 - 2021) Treasurer Johanna Westbrook, Australia (2017 - 2020) Vice Presidents MedInfoNajeeb Al-Shorbaji, Jordon (2020 - 2021)MembershipDr. Daniel Luna, Argentina (2018 - 2021)ServicesDr. Brigitte Séroussi, France (2016 - 2019)Special AffairsJennifer Bichel-Findlay, Australia (2019 - 2022)Working & Special Interest GroupsLuis Fernandez Luque (2019- 2022) CEO Elaine Huesing, Canada IMIA Web site: www.imia.org Regional Vice Presidents to IMIA APAMI: Asia Pacific Association for Medical Informatics Vajira Dissanayake, Sri Lanka EFMI: European Federation for Medical Informatics Christian Lovis, Switzerland HELINA: Pan African Health Informatics Association Ghislain Kouematchoua Tchuitcheu, Germany/Cameroon IMIA-LAC: Health Informatics Association for Latin America and the Caribbean Marcelo Lucio da Silva, Brazil MENAHIA: Middle East and North African Health Informatics Association Riyad Al Shammari, Saudi Arabia North American Region James Cimino, United States IMIA Liaison Officers, ex officio WHO Liaison OfficerPatrick Weber, SwitzerlandIFIP Liaison OfficerHiroshi Takeda, JapanISO Liaison OfficerMichio Kimura, Japan


Author(s):  
Farah Magrabi ◽  
Elske Ammenwerth ◽  
Catherine K. Craven ◽  
Kathrin Cresswell ◽  
Nicolet F. De Keizer ◽  
...  

Objectives: To highlight the role of technology assessment in the management of the COVID-19 pandemic. Method: An overview of existing research and evaluation approaches along with expert perspectives drawn from the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development in Health Informatics and the European Federation for Medical Informatics (EFMI) Working Group for Assessment of Health Information Systems. Results: Evaluation of digital health technologies for COVID-19 should be based on their technical maturity as well as the scale of implementation. For mature technologies like telehealth whose efficacy has been previously demonstrated, pragmatic, rapid evaluation using the complex systems paradigm which accounts for multiple sociotechnical factors, might be more suitable to examine their effectiveness and emerging safety concerns in new settings. New technologies, particularly those intended for use on a large scale such as digital contract tracing, will require assessment of their usability as well as performance prior to deployment, after which evaluation should shift to using a complex systems paradigm to examine the value of information provided. The success of a digital health technology is dependent on the value of information it provides relative to the sociotechnical context of the setting where it is implemented. Conclusion: Commitment to evaluation using the evidence-based medicine and complex systems paradigms will be critical to ensuring safe and effective use of digital health technologies for COVID-19 and future pandemics. There is an inherent tension between evaluation and the imperative to urgently deploy solutions that needs to be negotiated.


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