Objectives
Four major scientific and technological objectives can be identified in cicerone, shaping the work packages that comprise the research program:
- Objective 1 (O1). Design the intervention and telemonitoring system with patients and healthcare professionals considering research, innovation, and market aspects. We aim to design an intervention and telemonitoring system collaboratively with patients and healthcare professionals, ensuring alignment with research, innovation, and market requirements. This objective emphasizes the importance of a user-centered approach, where the needs and preferences of both patients and healthcare providers are considered during the design process. By incorporating perspectives from multiple stakeholders, including patients, caregivers, clinicians, and technology experts, the intervention and telemonitoring system can be tailored to address the specific challenges and opportunities in managing COPD effectively.
- Objective 2 (O2). Develop an integral platform to home-monitor lifestyle and environmental data from patients with high-risk COPD, that allows the research on new useful predictors. We focus on developing a comprehensive platform for home monitoring, capable of collecting lifestyle and environmental data from patients with high-risk COPD. This platform serves as a research tool for investigating new predictors of COPD exacerbations and other relevant health outcomes. By integrating multiple data sources, including sensor data, patient-reported outcomes, and environmental factors, the platform enables researchers to gain insights into the complex interactions between various factors influencing COPD progression and exacerbations.
- Objective 3 (O3). Create an electronic patient record and monitoring modules for biomedical and environmental sensors and a software tool for the follow-up of patients by clinicians. The objective involves creating electronic patient records and monitoring modules that interface with biomedical and environmental sensors. Additionally, a software tool will be developed to facilitate the remote follow-up of patients by clinicians. These modules will allow seamless integration of sensor data into patients’ electronic health records, enabling healthcare providers to access real-time information about patients’ health status and make informed decisions regarding their care. The software tool will also support remote monitoring and communication between patients and clinicians, enhancing the efficiency and effectiveness of COPD management.
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Objective 4 (O4). To develop and evaluate a robust, explainable AI-based clinical decision support tool for personalized prediction of at least 50% exacerbations. Finally, we aim to develop and evaluate a robust, explainable AI-based clinical decision support tool for personalized prediction of COPD exacerbations. This tool will leverage advanced machine learning algorithms to analyze patient data and identify patterns indicative of exacerbation risk. By providing personalized predictions, clinicians can intervene proactively to prevent exacerbations and optimize treatment strategies for individual patients. Additionally, the AI-based tool will be designed to provide explanations for its predictions, enhancing transparency and trust in its recommendations among healthcare providers and patients.
These objectives are interconnected and collectively contribute to the overarching goal of improving COPD management through the implementation of innovative telemonitoring solutions.
Grant PID2021-126810OB-I00 funded by:
