1 Biomedical Informatics as a Support for Managing Pandemics and Infodemics
As we very slowly come back to work and try to live like we did before January 2020, the International Medical Informatics Association (IMIA) editorial team wishes for a happy return for all of us who have worked so hard to be safe for our colleagues, patients, and families. We hope to end the 2020-2021 pandemic that has disrupted our social activities, family events, research projects, and taken away so many lives. At the time of writing this editorial, we thought that we were done with the virus, but it is clear that the pandemic continues to impact the world. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a ribonucleic acid (RNA) virus that causes the Corona Virus Disease 2019 (COVID-19), is rapidly mutating during replication and co-infections. Several epidemiological investigations and sequence-based surveillance worldwide have led to the identification of variants of concern B.1.1.7 (Alpha) [[1]], B.1.351 (Beta), B.1.617.2 (Delta), and P.1 (Gamma). But as Aristotle says though, “it is during our darkest moments that we must focus to see the light,” and we all have tried to produce the best that we can even in restrictive and frightful conditions.
The theme of the 30th edition of the International Medical Informatics Association (IMIA) Yearbook is “Managing Pandemics with Health Informatics - Successes and Challenges”. As noted by the co-editors of the IMIA Yearbook Special Topic section, Brian Dixon and John Holmes, “the best papers on managing pandemics with health informatics in 2020 represent only a fraction of the strong scientific articles relevant to this topic” [[2]]. The special section focuses on articles related to COVID-19 and the pandemic in the fields of public health and epidemiology, and shows the incredible efforts the medical informatics community made in keeping communities safe and finding good ways to show disease indicators (e.g., Reeves et al. [[3]] describe health informatics supporting COVID-19 response, and the other best papers selected in this 30th edition give examples).
Coined in 2003, the “infodemic” concept has added a renewed interest in conjunction with the COVID-19 pandemic. The general definition of infodemic states that it “… is a blend of ‘information’ and ‘epidemic’ that typically refers to a rapid and far-reaching spread of both accurate and inaccurate information about something, such as a disease. As facts, rumors, and fears mix and disperse, it becomes difficult to learn essential information about an issue” [[4]]. Open collaborative approaches and the application of Findable, Accessible, Interoperable, and Reusable (FAIR) requirements can improve trust in data. The Keynote paper by Basit et al. [[5]] discusses data quality, obstacles to data collection, lessons learned, and ethical and privacy considerations related to pandemic data (such as contact tracing issues).
2 Highlights of the 30th Edition of the IMIA Yearbook
Be sure to read the chapter on the History of Medical Informatics of this year's Yearbook. Casimir Kulikowski provides a historical overview of biomedical information and healthcare practices related to past pandemics. This very well documented chapter addresses data infrastructure and information and communication systems needed to deal with the pandemic. COVID-19 was the first major pandemic in world history where genomics and related biosciences – supported by biomedical informatics – were essential to decode the viral sequence data and to produce mRNA vaccines [[6]].
Check out some of the interesting mapping of terms related to Consumer Health Informatics (CHI) in this year's CHI section. As CHI co-editors, Annie Lau and Pascal Staccini, discovered in the search for best papers related to the pandemic, health informatics consumers and social media faced a new context with worldwide information challenges to manage a new infectious disease such as the use of social listening to trace the dissemination of the disease and to assess patient experience for describing unknown clinical facts [[7]].
One of the best papers in the Decision Support (DS) section introduced a clinical decision support system for assessing the risk of a severe COVID-19 for patients at hospital admission. Wu et al. [[8]] built their model from an international multicenter study including retrospective and prospective cohorts from China, Italy, and Belgium. As noted by DS section co-editors Damian Bordolla and Grégoire Ficheur, the very early conduct of this large-scale multicenter study during the epidemic and the success of the model were encouraging and important [[9]].
Weemaes et al. described the need and the development of a laboratory management information system to cope with the extra workload of COVID-19 testing [[10]]. The co-editors of the Clinical Information Systems (CIS) section, Werner Hackl and Alexander Hoerbst, pointed out in their synopsis that 10% of the 500 most relevant terms appearing in the titles and abstracts of the CIS articles were related to the COVID-19 pandemic [[11]].
Among the three best papers selected by the Natural Language Processing (NLP) section, the paper by Poerner et al. presented a new energy-efficient transformer model, applied in particular to perform question-answering about COVID-19 [[12]]. As underlined by Natalia Grabar and Cyril Grouin, the co-editors of the NLP section, much work has been done this year in the NLP field on COVID-19, including the development of a dedicated corpus and the use of patient data, scientific literature, and social networks to predict or analyse COVID-19-related events [[13]].
In the survey paper of the Health Information Management (HIM) section, Massoudi & Sobolevskaia conducted a state of the art review of the research works published in response to the pandemic to highlight the challenges and obstacles posed by COVID-19 in this field [[14]]. Through the various themes addressed in the hundred or so articles they analysed, the authors identified the barriers that remain to be overcome and proposed recommendations to ensure that the discipline is ready in the event of a new pandemic.
Selected as a best paper within the Special Section, Reeves et al. published the first description of healthcare informatics supporting a rapid COVID-19 response from a health system [[3]]. For the Yearbook and the CIS section in particular, Reeves et al. have carried out a comprehensive review of published articles in the field of CIS to respond to the COVID-19 pandemic [[15]]. They identified more than 200 articles related to this topic and classified them into nine categories, including data sharing and interoperability, epidemiology reporting, telehealth and diagnosis testing.
Verspoor has produced an interesting survey paper in which she proposes to adopt a new model: a global learning health system (as discussed in the 2017 Yearbook special topic [[16]]), that is essential in the context of a worldwide pandemic [[17]]. This circular model is fed with observations made during the management of patients in clinical practice to enrich health-related knowledge, which in turn is needed to improve clinical practice. The author then described the work that has been implemented this year in Knowledge Representation and Management (KRM) in the context of the COVID-19 pandemic and which can contribute to the implementation of this global learning health system.
Tilahun et al. in their survey for the Special Topic section showed the successes of digital health technologies as support for prevention and control of the COVID-19 [[18]]. Telehealth, mobile health (mHealth), internet of things (IoT), and electronic health records among others, combined with artificial intelligence, big data technologies, and prediction models, were used in multiple ways. This includes screening and management of patients, methods to minimize exposure, modelling of disease spread, and supporting overworked providers. Digital health technologies in response to the COVID-19 pandemic were principally used for the early test, report, isolation, treatment, exchanging information, remote consulting, reducing the overcrowding of health care facilities, and model prediction of the COVID-19.
In line with the IMIA Yearbook last year's edition [[19]] on ethics in health informatics, the survey paper of the Clinical Research Informatics (CRI) section authored by Christofidou et al. reviews the publications exploring the European Union's General Data Protection Regulation (GDPR) and the implications that have arisen during the COVID-19 outbreak [[20]]. The authors call for the creation of a unified and harmonised network or database to enable the secure sharing of data across borders.
The survey paper of Bioinformatics and Translational Informatics (BTI) by McGrath et al. provides an overview of the emerging themes and notable papers published in 2020 [[21]]. The literature search identified 263 relevant papers in which they examined the central themes of COVID-19, machine learning (representation, interpretation, data security, privacy, and bias concerns), and bioinformatics (drug development, biobanking, and genomic diversity). The survey synthesises work that addresses the most important challenges related to the pandemic, under-representation bias, or high-throughput multi-omics integration.
In this 30th edition of the IMIA Yearbook, you will find valuable contributions from IMIA Working Groups related to the significant topic of COVID-19 (to name a few: telehealth, open technology, FAIR requirements, public health data sharing, digital technologies…) showing how health informatics can respond to pandemics and infodemics, but also the Research and Education paper by Hripcsak et al. which focuses on the value of open science in addressing reproducibility of results in COVID-19 research [[22]].
Make sure to read the International Academy of Health Sciences Informatics (IAHSI) paper (and the personal note) by Dr. Reinhold Haux, the first Academy's and outgoing President [[23]]. Dr. Haux recalls that IAHSI and IMIA are institutions whose members are willing to “collaborate in a tolerant, collaborative, and peaceful manner, transcending nations, cultures, religions, gender, and political or social structures” with the aim “to contribute to the health and well-being of the people in our world” [[24]].
In this line, the outgoing IMIA President, Sabine Koch, shares her experience of leading IMIA during a global pandemic, without any physical meetings [[25]]. She details some new opportunities for our discipline, and introduces the IMIA Academy's open dialogue with the World Health Organization (WHO) Director General, Dr. Tedros Adhanom Ghebreyesus on the challenges of health informatics during the COVID-19 pandemic. The dialogue involved 200 participants from different civil society organizations [[26]]. Topics of interest were ethics and artificial intelligence, the digital divide, education, and others. Proposed actions included the development of a roadmap based on the lessons learned from the COVID-19 pandemic.
After the 2021 edition of the IMIA Yearbook on managing pandemics through health informatics, it was obvious to choose the 2022 special topic of the Yearbook to be: “Inclusive Digital Health: Addressing Equity, Literacy, and Bias for Resilient Health Systems”. As pointed out by McGrath et al., biases in biomedical data limit our understanding of diseases and contribute to a higher morbidity and mortality for minority populations [[20]]. Moreover, global warming and climate change will have serious implications for the incidence of diseases and the equitable distribution of healthcare. This topic [[27]] is supported by IMIA Working Groups and the Yearbook editorial team, and is linked to the call to action of the previous IMIA President, Chris Lehmann [[28]], to address the complex socio-economic, political, and technological disruptions, as well as the many ethical challenges, that a global pandemic presents.
3 Changes in the Yearbook Editorial Team
The Yearbook editorial team was partly renewed in 2019. First, after four years as a chief editor (2012 – 2016), and four years as IMIA VP Services (2016 – 2020), Brigitte Séroussi MD, PhD, FIAHSI, FACMI, left the Yearbook Editorial Committee on December 2020 and passed the torch to Lina Soualmia, elected at the IMIA General Assembly as the new IMIA VP Services, after four years serving as a chief editor (2016 – 2020). We are deeply grateful for the hard work and fabulous leadership we have had from you, Brigitte. Thank you so much, we (will) miss you! Fleur Mougin, Professor of Computer Science at the French National Institute for Health, INSERM, University of Bordeaux (Bordeaux, France), has replaced Lina Soualmia as a chief editor working in tandem with Kate Fultz Hollis. We welcome Fleur as a chief editor of the Yearbook.
We are also pleased to welcome Gayo Diallo, Associate Professor of Computer Science, and Georgeta Bordea, post-doctoral fellow of Medical Informatics, both from the French National Institute for Health, INSERM, University of Bordeaux (Bordeaux, France), as the new section editors of the Public Health and Epidemiology Informatics section. Damian Borbolla, Assistant Professor of Biomedical Informatics at University of Utah (Utah, USA) and Grégoire Ficheur, Professor of Public Health, University of Lille (Lille, France), are the editors of the Decision Support section, and Michelle Hribar, Assistant Professor of Medical Informatics and Clinical Epidemiology at Oregon Health and Science University (Oregon, USA), is the editor of the Human Factors and Organisational Issues section. Congratulations are due to the new section editors. “Change is in the air” and William Hsu, Associate Professor of Radiological Sciences at University of California (Los Angeles, USA) who served as section editor of the Signal Sensors and Imaging Informatics section from 2016 to 2021 is leaving the editorial team in 2022.
