RESEARCH QUESTIONS
The object of the research arises from four research questions:
1) What is the possible healthcare management model for the IoT techniques in sensored service equipments?
2) What are the most suitable data management methods?
3) What are the parameters to be detected?
4) How to reconfigure organizational management models?
Starting from these research questions the following objectives are met:
1) Exploration of IoT potential inside facility management and discussing core technologies that can reshape healthcare technologies based on the IoT;
2) Research of IoT-based healthcare components to be managed and the definition of the parameters useful to control process;
3)Definition of theoretical models with IoT system approach suitable for management of maintenance equipment within hospital infrastructure;
4) Creation of a set of rules, covering all probable requests of typical hospital facilities;
5) Individuation of sensors and other devices to detect efficiency information or diagnosis at every stage;
6) Definition of general suitable platform useful for managing data for maintenance management of buildings;
7) Detecting and preventing systems failures or uses;
METHODS AND TECHINIQUES
Having regard to the proposed objectives, the research project intends to adopt the following working methodology:
1) Deep literature review and case-study analysis at the international scale of the current practice of healthcare buildings FM, focusing on maintenance planning and programming techniques;
2) Comparison between maintenance management models for technical equipments in buildings and relationships between different supply-chain operators;
3) Analyzing the theoretical and regulatory structure inside best practices and processes for healthcare facility management;
4) Monitoring of existing hospital facilities and their performance in order to the definition of requirements for data gathering, dynamic maintenance planning of plants;
5) Defining parameters (Input, output, supportive), indexes and rules to evaluate over time systems healthcare facility performance;
6) Proposal of innovative models for management of technical facility for IoT applications;
7) Definition of sensors apparatus;
8) Hypothesis of Iot systems case studies BIM Application;
9) Hypothesis of new organizational models of services: Analyses of FM structures organizational models in relation with their changes with regard on contracts, construction permits, project management and construction management;
9) Analysis of IoT applications which gather datafrom sensors with power, robustness, durability, accuracy and reliability;
10) Use of BIM systems for modelling and monitoring the information flow of hospital facilities;
EXPECTED OUTCOMES
By responding to the previous objectives, it is expecting from this research to reach the following outcomes:
1) Definition of the characteristics of an advanced IoT-based support system with more stringent requirements and with run-time libraries, for a service-oriented approach (SOA);
2) Maximize asset visibility, utilization and performance while better managing regulatory compliance efforts. Increase hospital equipments availability, help reduce acquisition, operating and maintenance costs, and improve return on assets;
3) Creation of an innovative and unique IoT-BSMS (building service management systems) which gathers the potential of IoT technologies and artificial based intelligence (neural networks, fuzzy logic, genetic algorithms) with best practices management system;
4) Definition of parameters necessary for healthcare’s management and its sensors of detection;
5) Creation of few FM models which adopt IoT and which are expected to reduce costs, improve the effectiveness of management processes and increase the reliability of equipment;
7) Creation of rules, which combine input and output parameters for decision support unit;
8) Identifying of correctly IoT optimum times for replenishing supplies for various devices for their smooth and continuous operation by the creation of items based on the logic of Sensing and responding, sensing and knowing, sensing and learning;
9) Definition of the characteristics of an advanced IoT-based support system with more stringent requirements and with run-time libraries, for a service-oriented approach (SOA)