TY - GEN
T1 - Can Operational Transparency Enhance the Perception of Waiting Time? A Case Study from the Healthcare Sector
AU - Moussa, Osama
AU - Alshakhsi, Sameha
AU - Al-Thani, Dena
AU - Ali, Raian
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Patient satisfaction has been a vital organizational metric in medical facilities since it promotes a responsive healthcare system, increases revenue, sustains a higher quality of service, and ensures its continuity. Waiting time for getting health care services is a major metric for patient satisfaction. We hypothesize that technology can be used to enhance people's perception of waiting time. We examine the real-time communication of operational transparency in particular, i.e., the workflow and its current status. Examples of such information include the amount of effort put into delivering a service, the current activities of doctors, the position in the queue, and the priority of the patient case. 21 participants took part in our experiment. The results showed that patients in the group that received real-time operational transparency perceived their waiting time to be shorter than those in the group that did not. Also, participants who received the information perceived stress and frustration to be less. Our study is exploratory and meant to assess the potential of operational transparency in making waiting time better. Future research can assess that on a larger sample, and also assess the side-effects of transparency, e.g., information overload, the need for extra explainability, and stress on medical care personnel.
AB - Patient satisfaction has been a vital organizational metric in medical facilities since it promotes a responsive healthcare system, increases revenue, sustains a higher quality of service, and ensures its continuity. Waiting time for getting health care services is a major metric for patient satisfaction. We hypothesize that technology can be used to enhance people's perception of waiting time. We examine the real-time communication of operational transparency in particular, i.e., the workflow and its current status. Examples of such information include the amount of effort put into delivering a service, the current activities of doctors, the position in the queue, and the priority of the patient case. 21 participants took part in our experiment. The results showed that patients in the group that received real-time operational transparency perceived their waiting time to be shorter than those in the group that did not. Also, participants who received the information perceived stress and frustration to be less. Our study is exploratory and meant to assess the potential of operational transparency in making waiting time better. Future research can assess that on a larger sample, and also assess the side-effects of transparency, e.g., information overload, the need for extra explainability, and stress on medical care personnel.
KW - Operational transparency
KW - healthcare service quality
KW - perceived stress
KW - perceived waiting time
UR - https://www.scopus.com/pages/publications/85146427911
U2 - 10.1109/BESC57393.2022.9995186
DO - 10.1109/BESC57393.2022.9995186
M3 - Conference contribution
AN - SCOPUS:85146427911
T3 - Proceedings of the 2022 IEEE International Conference on Behavioural and Social Computing, BESC 2022
BT - Proceedings of the 2022 IEEE International Conference on Behavioural and Social Computing, BESC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Behavioural and Social Computing, BESC 2022
Y2 - 29 October 2022 through 31 October 2022
ER -