Conceptual Model for Data Collection and Processing in a Smart Medical Ward

The study deals with modeling and automation of obtaining, collecting and analyzing health data in smart medical wards. The authors made a review of various existing solutions in the domain of interest. Such solutions increase safety and comfort of the patients, enhance quality of their treatment in hospitals, reduce the costs and the influence of human errors. However, the existing solutions are aimed at solving particular tasks. The use of different tools and heterogeneous modules causes problems of compatibility, security risks and increased complexity and redundancy of systems, so they become more expensive to support and maintain. To overcome these obstacles, the smart ward can be built within a general framework that supports typical modules, interfaces and operations. At the first stage of solving the problem the authors proposed a conceptual model of a smart ward, and make a description of its components and operation scenarios. Then, the authors considered a sample scenario for disease stratification based on obtaining values of health indicators and performing calculations according to a defined methodology. An algorithm for data collection and analysis for diagnosis making and disease stratification was developed, and a simulation example of smart ward functioning was carried out. Numerical experiments demonstrated that data collection and processing using smart components of the model could significantly reduce the assessment time.