Patient Reported Outcome Measure-Select App

Introduction. Apatient/person-reported outcome measure (PROM) is a questionnaire that measures patient's health self-assessment (PROs), such as pain/wellbeing. HTx is a Horizon 2020 project supported by the European Union lasting for 5 years from January 2019. The main aim of HTx is to create a framework for the Next Generation Health Technology Assessment (HTA) to support patient-centred, societally oriented, real-time decision-making on access to and reimbursement for health technologies (HTs) throughout Europe. Individual values, needs, and preferences should be taken into account when appraising HTs and in clinical decision-making. Better guidance is needed about how to develop and select generic and/or more specific outcome measures that are relevant to patients and fit-for-purpose. Our goal is to provide that guidance via the PROM toolbox and enable users to select PROMs by using this. The HTx project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Ndegree 825162. Methods. A framework for the assessment of PROMs was discussed with experts, tested for a subset of PROMs (Linnean menu) and resulted in the PROM-cycle. Multiple literature studies were performed on PROMs, their properties, and characteristics. The general population was studied as well as cancer, diabetes, multiple sclerosis, myelodysplastic syndrome, and (long-lasting) COVID-19. This resulted in an Excel database (PROM-overview) made available via a user-friendly web-application helping users to select PROMs: the PROM select app via https://www.prom-select.eu/proms. Results. Multiple tools were developed and are available in the PROM toolbox starting with the PROM-guide, Literature review on the use of PROMs, PROM-cycle accompanied by the Linnean menu. In addition, PROM-links, The making of the PROM-overview & PROM-select app, PROM-overview, PROM-select app, its usability test report and PROM toolbox presentation can be found on https://www.zorginzicht.nl/ondersteuning/prom-toolboxsummary- in-english#what-is-the-prom-cycle. Conclusions. The PROM toolbox guides users and helps them to select PROMs and trustworthy information and finding relevant scientific articles.

Dockerized Knowledge-Oriented Multi-modal Social Event Detection System

Faced with an increasing amount of unstructured multimodal data appearing on various social platforms (e.g., Twitter/Instagram), we seek to effectively understand the complex social events portrayed on these platforms. However, conventional information extraction systems cannot understand these data because they cannot handle real-world analysis or require extensive tuning and many manually annotated examples to successfully comprehend these events. To solve this problem, this paper develops a knowledge-oriented artificial intelligence system that can identify and analyze these data and complex events and bring them to the user's attention. Our research aims to understand complex events described in multimedia inputs by developing a semi-automated system that identifies, links, and temporally sequences their subsidiary elements, the participants involved, as well as the complex event type. This project proposes a systematic analysis of world events, such as the Boston Marathon bombing, Capital Riots, Covid-19, etc. We have successfully evaluated our system on various datasets and have shown significant improvement compared to other previous methods. © 2022 IEEE.

From Research to Crisis Management: Multiagent Simulation for Local Governments

During the COVID-19 pandemic, a rise of (agent-based) simulation models for predicting future developments and assessing intervention scenarios has been observed. At the same time, dashboarding has become a popular way to aggregate and visualise large quantities of data. The AScore Pandemic Management Cockpit brings together multiagent-based simulation (MABS) and analysis functionalities for crisis managers. It combines the presentation of data and forecasting on the effects of containment measures in a modular, reusable architecture that streamlines the process of use for these non-researcher users. In this paper, the most successful features and concepts for the simplification of simulation usage are presented: definition of scenarios, limitation of parameters, and integrated result visualisation, all bundled in a web-based service to offer a low-barrier entry to the usage of MABS in decision-making processes. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.