TY - GEN
T1 - Cloud-Based Architecture for Early Detection and Postoperative Monitoring of Hypospadias Patients in Indonesia
AU - Fathurahman, Muhamad
AU - Utomo, Chandra Prasetyo
AU - Wahyudi, Irfan
AU - Djauzi, Samsuridjal
AU - Situmorang, Gerhard Reinaldi
AU - Rodjani, Arry
AU - Risky Raharja, Putu Angga
AU - Yonathan, Kevin
AU - Santoso, Budi
AU - Tasyakanifa, Milla
AU - Nurfaridah,
N1 - Funding Information:
ACKNOWLEDGMENT This research is funded by the Indonesian Ministry of Education, Research, and Technology (Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi) with Penelitian Dasar Kompetitif Nasional 2022 scheme [Grant Number NKB-912/UN2.RST/HKP.05.00/2022]
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Covid-19 Epidemic has significantly changed how hypospadias patients are delivered to healthcare services, particularly after hypospadias repairs (postoperative care). Some studies reported that using telemedicine schemes by sending digital documentation such as images and videos through cell phones can facilitate an assessment of postoperative monitoring of hypospadias patients. However, this approach raises various concerns, such as managing digital documentation of hypospadias patients, analyzing the data, and the security of individuals' health information. This study proposes a design of cloud-based architecture for early detection and postoperative monitoring of hypospadias patients to address the concerns above. The user acceptance test shows that most users agree that this application may be used for early detection, monitoring hypospadias patients, and helping capture videos and provide labeling to patients' data.
AB - Covid-19 Epidemic has significantly changed how hypospadias patients are delivered to healthcare services, particularly after hypospadias repairs (postoperative care). Some studies reported that using telemedicine schemes by sending digital documentation such as images and videos through cell phones can facilitate an assessment of postoperative monitoring of hypospadias patients. However, this approach raises various concerns, such as managing digital documentation of hypospadias patients, analyzing the data, and the security of individuals' health information. This study proposes a design of cloud-based architecture for early detection and postoperative monitoring of hypospadias patients to address the concerns above. The user acceptance test shows that most users agree that this application may be used for early detection, monitoring hypospadias patients, and helping capture videos and provide labeling to patients' data.
KW - Cloud Architecture
KW - Early Detection
KW - Hypospadias
UR - http://www.scopus.com/inward/record.url?scp=85150444853&partnerID=8YFLogxK
U2 - 10.1109/ICITISEE57756.2022.10057773
DO - 10.1109/ICITISEE57756.2022.10057773
M3 - Conference contribution
AN - SCOPUS:85150444853
T3 - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022
SP - 413
EP - 418
BT - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022
Y2 - 13 December 2022 through 14 December 2022
ER -