Health Information Technology
BackTrack Chairs
Heiko Gewald
Neu-Ulm University of Applied Sciences, Germany
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Dr. Heiko Gewald is research professor of Information Management at Neu-Ulm University of Applied Sciences in Germany and Director of the Institute for Digital Innovation (ID). His research focuses on HealthIT and specifically the use of digital resources by the aging generation. He is a frequent speaker on conferences contributing to these matters and his work has been published in numerous leading academic and practitioner-oriented journals.
Nilmini Wickramasinghe
La Trobe University, Australia
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Dr Wickramasinghe is the Optus Chair & Professor of Digital Health in the School of Engineering, Computing and Mathematical Sciences at La Trobe University. She researches in the health informatics domain across Australia and the US for over 20 years. In addition, she holds the Professor-Director Health Informatics Management chair at Epworth HealthCare and is an honorary research professor at the Peter MacCallum Cancer Centre, MCRI and Northern Health. She received a Humboldt award for her outstanding contribution to digital health in 2020.
Lauri Wessel
Norwegian University of Science and Technology (NTNU), Norway
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Lauri Wessel is an adjunct professor of Health Care Management at the Norwegian University of Science and Technology (NTNU) in Ålesund, Norway and professor of Information Management and Digital Transformation at the European New School of Digital Studies (ENS) at the European University Viadrina Frankfurt (Oder), Germany. Lauri’s work is focused on leveraging organization theory in order to design and study the digital transformation of healthcare. His work has been published in journals such as Journal of the Association for Information Systems, European Journal of Information Systems, Information Systems Journal, Information & Organization and others. He serves as Senior Editor for Information & Organization, has chaired tracks at HICSS, WI, and AMCIS and won multiple awards throughout the course of his career.
Healthcare systems worldwide face monumental challenges in delivering quality care to an expanding aging population while also grappling with the escalating burden of chronic diseases like diabetes and obesity. These challenges are further compounded by the urgent need to contain rising costs and improve access to care. Moreover, there is a growing emphasis on prevention alongside treatment, underscoring the importance of promoting health-conscious behaviors through computing in peoples’ daily lives. Practitioners, policy-makers, and researchers from various fields, including information systems, computer science, and medicine, widely acknowledge that leveraging data meaningfully is essential to addressing these issues. Indeed, recent advancements in computing technologies, coupled with the abundance of data and the broader scope of artificial intelligence (AI), are often hailed as pivotal in reshaping healthcare for a digital era.
Health IT holds the potential to significantly impact the management of these challenges and bolster a healthcare value proposition centered on improved quality, accessibility, and cost-effectiveness of care. However, to date, there remains a dearth of evidence regarding whether Health IT effectively fulfills this promise, and the anticipated benefits of IT have yet to be fully realized. In essence, the question of whether and how digital innovations will propel the digital transformation of healthcare remains pivotal and warrants investigation from various perspectives, employing diverse methodologies, and spanning multiple levels of analysis.
This track solicits conceptual, empirical, and design science research, as well as research-in-progress papers, that tackle this dilemma and contribute to our understanding of all aspects of digital health.
We seek papers addressing
innovative measures to prevent diseases and/or promote healthy living
mobile health solutions and digital assistants- the challenges of the ageing population
- the management of chronic diseases
- the application of AI in digital health scenarios and the impact of AI on healthcare (please note that the actual development of AI algorithms should be directed to the appropriate track on AI development)
Track topics
Topics of interest include, but are not limited to:
- Digital interventions and persuasive technologies to foster behavioral change
- Telemedicine and telehealth and their measurable impact on health, well-being, financials, and other types of value
- Adoption, diffusion, and assimilation of health information systems within healthcare institutions and beyond
- Wearable health devices and their health outcomes
- Virtual Communities and their impact on patient empowerment and patient safety
- User-Generated Content and its impact on healthcare practices and providers
- Health IT for the physically and cognitively challenged
- Design and implementation of health information technologies
- Evaluations of EMR, EHR or PHR solutions
- Privacy and security of health information
- Healthcare analytics and corresponding data visualization
- Healthcare analytics and their impacts on integration of care
- Specific IT/IS adoption and usage patterns of the elderly
- Digital health platforms and communities for the elderly
- The impact of technology usage on well-being of the elderly
- Theories and research frameworks for investigating age-related IS phenomena
- Methodological challenges of investigating elderly people’s technology usage
- Impact of technology training on elderly’s perceptions and behaviors
- Effective design of digital technologies for elderly people
- Computer and IT-related self-efficacy of the elderly
- Understanding of elderly people’s technology needs, expectations, and requirements
- User interface design, usability and accessibility issues
- Integration of elderly people in the design of technology
- Non-intrusive or minimally intrusive surveillance for independent living
- Design requirements for technologies supporting independent living
- Medication management, compliance, training, and safety for independent living
- Visions for future technologies for elderly people
- IOT technologies for assisted living
- Meta-analyses and meta-syntheses of research on elderly people and IS
- IT-Security for elderly people (esp. phishing, scamming etc.)
- Trust and distrust of elderly people in digital technologies
- How IT has enabled and supported patient-centered value-based care
- Health-related Social Media for the elderly
- Patient-, caregiver-, guardian-, and clinician-centric design methods
- Convergence and management of consumer and medical devices, informatics, and systems
- Management and implementation of value-based care
- Transformations of IT governance in health care organizations
- Designing and evaluating AI for improving digital health
- The impact of AI on work practices in healthcare
Publishing Opportunities in Leading Journals
Outstanding papers will be directed to Senior Editors of leading IS journals and Health IT journals
Track Associate Editors
Aycan Aslan, University of Goettingen, Germany
Elizabeth Baker, Virginia Commonwealth University, USA
Rüdiger Breitschwerdt, Wilhelm Büchner Hochschule – University of Applied Sciences, Germany
Philipp Brune, Neu-Ulm University of Applied Sciences, Germany
Kourosh Dadgar, University of San Francisco, USA
Michael Fellmann, University of Rostock, Germany
Burkhardt Funk, Leuphana University Lüneburg, Germany
Daniel Fürstenau, Freie Universität Berlin, Germany
Michael Gau, University of Liechtenstein, Liechtenstein
Maike Greve, Copenhagen Business School, Denmark
Mirou Jaana, University of Ottawa, Canada
Tobias Kowatsch, University of St.Gallen, Switzerland
Nikolaj Krebs Pedersen, IT University of Copenhagen, Danmark
Peter Liang, Louisiana State University, USA
Roxana Ologeanu-Taddei, TBS Education, France
Christoph Peters, St Gallen University, Switzerland
Oliver Posegga, University of Bamberg, Germany
Melanie Reuter-Oppermann, University of Twente, Netherlands
Peggy Richter, Technical University of Dresden, Germany
Bjoern Schreiweis, University of Kiel, Germany
Alex Wang, Edith Cowan University, Australia
Amir Andargoli, Swinburne University of Technology, Australia
Frada Burstein, Monash University, Australia
Abdur Forkan, Swinburne University of Technology, Australia
Prem Jayaraman, Swinburne University of Technology, Australia
Blooma John, Canberra University, Australia
Felix Kegel, Georg-August-Universität Göttingen, Germany
Reeva Lederman, University of Melbourne, Australia
Navin Misser, HU University of Applied Sciences Utrecht, Netherlands
Juergen Seitz, DHBW Heidenheim, Germany
Indrit Troshani, University of Adelaide, Australia
Alexander Kempton, University of Oslo, Norway
Jennifer Kendziorra, FernUniversität in Hagen, Germany
Mads Solberg, Norwegian University of Science and Technology
Hannes Schlieter, TU Dresden
Manuel Trenz, University of Goettingen, Germany
Philipp Reindl-Spanner, Technical University of Munich, Germany
Michael Dohan, Lakehead University, Canada