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A Reference Architecture for Smart Digital Platform for Personalized Prevention and Patient Management

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Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12521))

Abstract

The maturity of a new generation of information technologies, including the internet of things (IoT), wearables, cloud computing, Artificial Intelligence (AI) and machine learning, has led to the advent of smart domains, such as smart manufacturing, smart logistics, and smart healthcare. Smart healthcare brings unlimited opportunities to solve many of the problems of traditional medical systems, with the ultimate goal of realizing 4P medicine (Predictive, Preventive, Personalized, Participative). However, to realize this ambitious vision in such a highly regulated multi-disciplinary and sensitive domain, a mine of challenges needs to be effectively and efficiently addressed. A smart health digital platform that integrates all relevant (semi-) structured and unstructured health-related data is fundamental. The platform should incorporate a variety of care data, including vital medical information from medical records, current medication, imaging studies, lifestyle, genetic, demographic, psychological & psychosocial and patient-provided health data from exercise or health monitoring applications and medical pathways. These will lead to improving post-operative planning, reduce medical risks and costs, and generate more accurate therapy and increased Quality of Life (QoL) for patients. The main contribution of this article is a reference architecture for a smart digital platform for personalized prevention and patient management that acts as a roadmap for further R&D in this domain.

This research is partially funded by the EC Horizon 2020 project QUALITOP, under contract number H2020 - SC1-DTH-01-2019 – 875171.

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Notes

  1. 1.

    General Data Protection Regulation: https://gdpr.eu, last access: 03.08.2020.

  2. 2.

    Monitoring multidimensional aspects of QUAlity of Life after cancer ImmunoTherapy - an Open smart digital Platform for personalized prevention and patient management: https://h2020qualitop.liris.cnrs.fr/wordpress/index.php/project/.

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Acknowledgment

Mike Papazoglou is one of the pioneers in service-oriented computing (SOC) and cloud computing, after having contributed ground-breaking work on database systems. He has strongly influenced the continuously growing SOC community he helped create as a co-founder of the International Conference on Service-Oriented Computing (ICSOC), which will celebrate its 30th anniversary in 2022.

Mike was also instrumental in writing the successful Horizon 2020 proposal QUALITOP whose first results are presented in this paper. Finally, Mike is not only an admirable colleague but also a long-term friend.

Bernd got to know Mike in 1983 during an EU ESPRIT project meeting at the University of Patras. Soon after this meeting, Mike joined GMD - Forschungszentrum Informationstechnik GmbH, a major German research institution for applied mathematics and computer science Bernd was also affiliated with at that time. Amal was a Ph.D. student of Mike who looks back to a fruitful scientific apprenticeship in Mike’s lab from 2008 to 2012; He has always been the mentor; role model and continuous supporter and she is honored to have him as an empowering friend since then.

We are deeply honored for the opportunity to contribute to Mike’s Festschrift celebrating his 65th birthday and transition to a life with much freestyle and lesser compulsory. We wish him all the best, many more birthdays, and a state of health that does not require him to rely on our smart health platform.

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Correspondence to Amal Elgammal .

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Elgammal, A., Krämer, B.J. (2021). A Reference Architecture for Smart Digital Platform for Personalized Prevention and Patient Management. In: Aiello, M., Bouguettaya, A., Tamburri, D.A., van den Heuvel, WJ. (eds) Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future. Lecture Notes in Computer Science(), vol 12521. Springer, Cham. https://doi.org/10.1007/978-3-030-73203-5_7

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  • DOI: https://doi.org/10.1007/978-3-030-73203-5_7

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