TY - GEN
T1 - Technological solution to improve outpatient medical care services using routing techniques and medical appointment scheduling
AU - Torres, Isaias Chamorro
AU - Armas-Aguirre, Jimmy
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, a technological solution that optimizes the time of outpatient medical care with home visits using a routing technique and medical appointment scheduling. The solution provides assignments of outpatient medical consultations that are notified in real time to the closest health specialists in order to arrange a home health visit. In Peru, the waiting time for medical attention is 82 minutes and the average time for scheduling the appointment is 80.04 minutes in clinics or private health centers. This delay causes many patients to seek self-medication or use traditional medicine or simply do not attend to treat their medical emergency. The proposal uses the technique of using the K-means algorithm and the Ant Colony System algorithm and it has 3 components: Physical Architecture, Cloud Services and Technologies, languages and frameworks. The validation was carried out with a sample of 10 specialist physicians in Lima, Peru. Preliminary results allowed the technique used to reduce the waiting time to 70.85% and the appointment scheduling time was reduced by 95.55%. These percentages are calculated in reference to the data evaluated in 2020 by the INEI.
AB - In this paper, a technological solution that optimizes the time of outpatient medical care with home visits using a routing technique and medical appointment scheduling. The solution provides assignments of outpatient medical consultations that are notified in real time to the closest health specialists in order to arrange a home health visit. In Peru, the waiting time for medical attention is 82 minutes and the average time for scheduling the appointment is 80.04 minutes in clinics or private health centers. This delay causes many patients to seek self-medication or use traditional medicine or simply do not attend to treat their medical emergency. The proposal uses the technique of using the K-means algorithm and the Ant Colony System algorithm and it has 3 components: Physical Architecture, Cloud Services and Technologies, languages and frameworks. The validation was carried out with a sample of 10 specialist physicians in Lima, Peru. Preliminary results allowed the technique used to reduce the waiting time to 70.85% and the appointment scheduling time was reduced by 95.55%. These percentages are calculated in reference to the data evaluated in 2020 by the INEI.
KW - Geolocation
KW - Health care systems
KW - Home visits
UR - https://www.scopus.com/pages/publications/85125311905
U2 - 10.1109/ICALTER54105.2021.9675089
DO - 10.1109/ICALTER54105.2021.9675089
M3 - Contribución a la conferencia
AN - SCOPUS:85125311905
T3 - Proceedings of the 2021 IEEE 1st International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2021
BT - Proceedings of the 2021 IEEE 1st International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2021
Y2 - 16 December 2021 through 18 December 2021
ER -