Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Enhanced Monitoring and Decision Support in Pancreatic Cancer through Holistic Health Records and Advanced Data Processing: the iHELP Platform

Version 1 : Received: 19 October 2023 / Approved: 20 October 2023 / Online: 20 October 2023 (16:12:43 CEST)

How to cite: Manias, G.; Azqueta-Alzúaz, A.; Berenguer Mari, J. R.; Dalianis, A.; Griffiths, J.; Kalogerini, M.; Kostopoulou, K.; Kouremenou, E.; Kranas, P.; Kyriazakos, S.; Lekka, D.; Melillo, F.; Patiño-Martínez, M.; García-Perales, Ó.; Pnevmatikakis, A.; Spanos, S.; Torrens, S. G.; Wajid, U.; Kyriazis, D. Enhanced Monitoring and Decision Support in Pancreatic Cancer through Holistic Health Records and Advanced Data Processing: the iHELP Platform. Preprints 2023, 2023101360. https://doi.org/10.20944/preprints202310.1360.v1 Manias, G.; Azqueta-Alzúaz, A.; Berenguer Mari, J. R.; Dalianis, A.; Griffiths, J.; Kalogerini, M.; Kostopoulou, K.; Kouremenou, E.; Kranas, P.; Kyriazakos, S.; Lekka, D.; Melillo, F.; Patiño-Martínez, M.; García-Perales, Ó.; Pnevmatikakis, A.; Spanos, S.; Torrens, S. G.; Wajid, U.; Kyriazis, D. Enhanced Monitoring and Decision Support in Pancreatic Cancer through Holistic Health Records and Advanced Data Processing: the iHELP Platform. Preprints 2023, 2023101360. https://doi.org/10.20944/preprints202310.1360.v1

Abstract

The healthcare domain is increasingly adopting IoT and Electronic Health Record (EHR) systems, generating vast volumes of healthcare data. This shift is driven by the growing need of delivering the right information to the right individuals, at the right time. The latter underscores the importance of adopting a comprehensive strategy for efficiently collecting, utilizing, and analyzing health-related data to not only enhance overall healthcare management but also for the provision of timely and personalized prevention strategies. The latter is of highest importance especially in scenarios where lack of effective treatments or poor survival rates (such in pancreatic cancer) renders typical healthcare strategies ineffective. In this article, we introduce an innovative and integrated platform that is specifically designed and developed for accessing, processing, and analyzing data in challenging healthcare scenarios, such as dealing with pancreatic cancer. This platform, called iHelp, combines multidisciplinary technologies and provides healthcare professionals reliable risk modelling, analysis, and prediction techniques so that individuals (at risk of developing pancreatic cancer) can be provided with timely, reliable, and personalized prevention and intervention measures. A key innovation in the iHelp platform is the standardized data management approach called Holistic Health Records (HHRs) that facilitate the capturing of all health determinants in a standardized and well-structured way for processing towards the provision of health risk detection and personalized healthcare decision support. In the development of iHelp platform, the HHRs are evaluated through different real-world healthcare datasets, including datasets coming from hospital systems, data from wearables, questionnaires, and mobile applications.

Keywords

artificial intelligence; holistic health records; pancreatic cancer; real-time monitoring; primary and secondary data

Subject

Public Health and Healthcare, Primary Health Care

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.