Leveraging Knowledge Graphs in an Oncology Institute: An Innovative Approach to Organizational Optimization
Author(s)
Cavallucci M1, Andalo' A1, Gentili N1, Galardi F2
1Istituto Romagnolo per lo Studio dei tumori "Dino Amadori" IRST-IRCCS, Meldola, FC, Italy, 2IRST IRCCS, Meldola, Italy
Presentation Documents
OBJECTIVES: This project aims to use Knowledge Graphs (KG) to enhance understanding and simulation of corporate information in a hospital specializing in oncology. Implementing a KG seeks to clarify interconnections between business entities and simulate the impacts of organizational and operational changes.
METHODS: The project built a KG with entities: organizational structures, activities, economic impacts, tools, scope, customers, and suppliers. Using Neo4J and NeoDash, each structure was semantically linked to activities and other entities. For example, the 'Technical Office' is linked to activities like 'Periodic property verification', 'Property purchase research', and 'Insurance management', with 'managed_by' relationships. Insurance management connects to the 'Institute' and 'damaged parties' as clients and 'Insurance Department' and 'insurance brokers' as suppliers, all with 'provides_to' relationships. The 'Legal Area' node connects to the organizational structure with a 'belongs_to' relationship. This activity uses MS Excel and the internal portal.
RESULTS: A KG was constructed from organizational meetings with the 15 groups of people and collected in a single structured CSV file used as input, in particular, 270 activities were mapped, 48 organizational structures, 21 fields of application (such as communication, planning, budgeting) and 97 tools were used. The implementation of the KG made it possible to simulate various business scenarios. For example, assessing which organizational units and activities would be affected if a new tool was adopted in a particular unit was possible. 59 activities would be impacted by the change of use of 'Google Suite', 8 business units and 15 application areas.
CONCLUSIONS: The project showcases the potential of using KG to describe and simulate value-creating business entities in a hospital. Graph technology with semantic values provides a powerful, simple tool for modelling complex company interactions, enabling detailed simulations. This approach enhances understanding of business dynamics, supports strategic decisions, and improves operational efficiency and organizational resilience.
Conference/Value in Health Info
Value in Health, Volume 27, Issue 12, S2 (December 2024)
Code
HTA298
Topic
Health Technology Assessment
Topic Subcategory
Decision & Deliberative Processes, Systems & Structure
Disease
No Additional Disease & Conditions/Specialized Treatment Areas, Oncology