Descripció del projecte
The design of a healthcare facility requires participation of a multidisciplinary team including engineers, architects, data scientists, healthcare professionals and regulatory experts. This process starts with defining the needs (size and functional offerings of a facility), and the dimensioning and the drafting of a basic functional plan. The main goal is to obtain an initial budget that is optimized based on the main purpose of the facility, which might be different from that of a private or public institution.
The dimensioning and development of a functional plan requires about 4-6 months of hard work including analysis, design and assessment, and the cost may vary from 100 k€ up to 1 M€ depending on the complexity. Furthermore, when the complexity is high, the optimization process becomes a challenge. For public hospitals, the project timeline could be extended by up to 1.5 years due to political issues. beHIT, UVIC and the Council for Scientific and Industrial Research (CSIR) have competing and complementary offerings related to electronic healthcare infrastructure lifecycle tools for strategic planning, scheduling, budgeting, and strategic infrastructure management. We aim to develop a unique solution for dimensioning and design of the healthcare infrastructures (Clinics, Hospitals and Laboratories). The primary goal is to reduce timing to less than a month (target is three weeks). The introduction of AI solutions into the process is the means of achieving the objective. Therefore, beHIT, UVIC and CSIR are working on MetaBuild to develop a state-of-the-art solution for the dimensioning and design of innovative healthcare facilities. The research will also be useful to optimize facility management services. Achieving the goal of 70%-time reduction on the process will lead to 70% cost reduction, so the consortium will be far more competitive than our competition.
Metabuild will involve four different research activities and one unique development as its key outputs.
• Regression based algorithm to predict the hospital occupation on an hourly basis for one-year time with a RMSE < 10.
• Recommendation of an algorithm that optimizes the facility size based on different factors including regulation, demography, medical information, and past experiences. The recommendation algorithm will provide options that meet 100% of essential requirements, restrictions and at least 70% of the non-essentials.
• Lay-Out optimization algorithms based on Particle Swarm Optimization aimed to provide automatic layout distribution that reduces time of patient journey, and equipment movement and cost. • PSO algorithms will also be used to identify the optimal evacuation routes.
• Collaborative virtual environment on web 3.0 platform in which developers, designers and data scientists can work together, utilizing the previously developed AI algorithms.
