TY - GEN
T1 - Health Recommender System for Maternal Care Implementation Challenges
T2 - 14th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2022
AU - Priambodo, Rinto
AU - Handayani, Putu Wuri
AU - Sensuse, Dana Indra
AU - Suryono, Ryan Randy
AU - Kautsarina,
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The World Health Organization (WHO) strategy for Ending Preventable Maternal Mortality (EPMM) accommodates guidelines and objectives to lower the level of the global Maternal Mortality Ratio (MMR). Regular antenatal care (ANC) visits could increase maternal satisfaction, hence activities in ANC include risk identification, prevention, and management of pregnancy-related diseases, which could lead to maternal death. The health recommender system in healthcare helps patients and health professionals perform early predictions and receive meaningful recommendations based on patients' up-to-date health records. However, implementations of this application in maternal care are still few. Therefore, we conducted a semi-structured interview to five physicians working in maternal care to explore the challenge. The interview data were afterwards analyzed using qualitative content analysis. This qualitative study has identified six major challenges related to technological issues, such as the ability to display critical information, simplicity, compatibility, correctness, consistency, and fulfillment of functionalities required to adhere to maternal care guidelines, as well as challenges related to regulations and policies. This study contributes knowledge about the implementation of health recommender systems for maternal care and provides recommendations to application vendors and health regulators for the implementation of this system in Indonesia.
AB - The World Health Organization (WHO) strategy for Ending Preventable Maternal Mortality (EPMM) accommodates guidelines and objectives to lower the level of the global Maternal Mortality Ratio (MMR). Regular antenatal care (ANC) visits could increase maternal satisfaction, hence activities in ANC include risk identification, prevention, and management of pregnancy-related diseases, which could lead to maternal death. The health recommender system in healthcare helps patients and health professionals perform early predictions and receive meaningful recommendations based on patients' up-to-date health records. However, implementations of this application in maternal care are still few. Therefore, we conducted a semi-structured interview to five physicians working in maternal care to explore the challenge. The interview data were afterwards analyzed using qualitative content analysis. This qualitative study has identified six major challenges related to technological issues, such as the ability to display critical information, simplicity, compatibility, correctness, consistency, and fulfillment of functionalities required to adhere to maternal care guidelines, as well as challenges related to regulations and policies. This study contributes knowledge about the implementation of health recommender systems for maternal care and provides recommendations to application vendors and health regulators for the implementation of this system in Indonesia.
KW - antenatal care
KW - health recommender system
KW - Indonesia
KW - maternal care
KW - maternal mortality ratio
UR - http://www.scopus.com/inward/record.url?scp=85142035423&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS56558.2022.9923536
DO - 10.1109/ICACSIS56558.2022.9923536
M3 - Conference contribution
AN - SCOPUS:85142035423
T3 - Proceedings - ICACSIS 2022: 14th International Conference on Advanced Computer Science and Information Systems
SP - 105
EP - 110
BT - Proceedings - ICACSIS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 October 2022 through 3 October 2022
ER -