TY - GEN
T1 - Simulating Trust Dynamics in Healthcare Networks
T2 - 5th International Conference on Data Engineering and Communication Technology, ICDECT 2024
AU - Anjana, S.
AU - Singhal, Sunita
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Efficient electronic medical record sharing in Multicloud environment has a significant role in terms of efficiency and patient care. But there exist certain persistent challenges in quantification and prediction. The study, in this work, tries to attend to the above-mentioned gap by developing a multi-agent, game-theoretic simulation model. The interactions between key healthcare entities like doctors, hospitals, researchers, insurance companies and patients are modelled in this system. Various trust-building strategies through over 1000 iterations are considered to model a simple EMR access system. A trust evolution between every pair of entities is calculated. This is followed by calculation of overall system trust and strategy distribution over time. Utilizing payoff matrix, a model of cooperation and defection is obtained. Results show a complex trust dynamics which gradually stabilized and finally result in equilibrium in healthcare trust network. Visualization result such as trust evolution graph, strategy distribution plots and trust heatmap shows better trends and patterns. These findings help in making better healthcare policy, system design and management of trust in e-healthcare ecosystem. This computational model understands and helps in improve complex social dynamic for effective healthcare delivery.
AB - Efficient electronic medical record sharing in Multicloud environment has a significant role in terms of efficiency and patient care. But there exist certain persistent challenges in quantification and prediction. The study, in this work, tries to attend to the above-mentioned gap by developing a multi-agent, game-theoretic simulation model. The interactions between key healthcare entities like doctors, hospitals, researchers, insurance companies and patients are modelled in this system. Various trust-building strategies through over 1000 iterations are considered to model a simple EMR access system. A trust evolution between every pair of entities is calculated. This is followed by calculation of overall system trust and strategy distribution over time. Utilizing payoff matrix, a model of cooperation and defection is obtained. Results show a complex trust dynamics which gradually stabilized and finally result in equilibrium in healthcare trust network. Visualization result such as trust evolution graph, strategy distribution plots and trust heatmap shows better trends and patterns. These findings help in making better healthcare policy, system design and management of trust in e-healthcare ecosystem. This computational model understands and helps in improve complex social dynamic for effective healthcare delivery.
UR - https://www.scopus.com/pages/publications/105011259689
UR - https://www.scopus.com/pages/publications/105011259689#tab=citedBy
U2 - 10.1007/978-981-96-5223-5_10
DO - 10.1007/978-981-96-5223-5_10
M3 - Conference contribution
AN - SCOPUS:105011259689
SN - 9789819652228
T3 - Lecture Notes in Networks and Systems
SP - 111
EP - 124
BT - Innovations in Communication Networks
A2 - Bhateja, Vikrant
A2 - Abdul Hameed, Vazeerudeen
A2 - Udgata, Siba K.
A2 - Azar, Ahmad Taher
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 28 September 2024 through 29 September 2024
ER -