TY - GEN
T1 - Mobile application for scheduling of medical staff in emergency condition using integer programming
AU - Saikhu, Ahmad
AU - Hariadi, Victor
AU - Rochmah, Laili
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/12
Y1 - 2016/1/12
N2 - Unexpected events like disaster or accident often cause the emergency condition. For a disaster, mitigation is not only necessary, but also an emergency response plan for safety handling life of the victims are very important. Proper medical treatment by a professional will save many lives. Such event can occur at any or many locations and any time can occur in the same time that require some medical teams with qualified doctors or particular specialization and nurses for handling a number of victims. On the other hand, medical staff has a high mobility in performing his professional duties. Due to the limited number of medical staff with certain qualifications as required in an emergency and demands should arrive quickly, we need a reliable system in order to coordinating the assignment so for an emergency event can be handled properly. Those who have an authority can do coordination and scheduling. Scheduling optimization model has some special characteristics. Among the existence of a number of emergency events at several locations at the same time, the limited number of medical staff, special skills need for handling emergencies, and the presence of medical personnel who are mobile can be done by modeling one assignment optimizationl, namely Integer Linear Programming (ILP) model. As for fast communication for coordination between the management authority with a number of doctors, a mobile application can be applied. In this research, Bipartite Graph (BG) model, Ford-Fulkerson Algorithm (FFA) and ILP model as the main part of the decision making structure are implemented into a program. The first model (BG) present concordance between physicians with their expertise's. The second model (FFA) helps the authority to determine medical staffwho meet the condition. The third, ILP model will help the authority to determine the best combination of medical staff assignment. Input, process, output, and feedback from the implementation are representing decision-making system for the medical staff assignment in to the emergency situation. So the medical team can quickly find out the assignment's schedule through mobile applications.
AB - Unexpected events like disaster or accident often cause the emergency condition. For a disaster, mitigation is not only necessary, but also an emergency response plan for safety handling life of the victims are very important. Proper medical treatment by a professional will save many lives. Such event can occur at any or many locations and any time can occur in the same time that require some medical teams with qualified doctors or particular specialization and nurses for handling a number of victims. On the other hand, medical staff has a high mobility in performing his professional duties. Due to the limited number of medical staff with certain qualifications as required in an emergency and demands should arrive quickly, we need a reliable system in order to coordinating the assignment so for an emergency event can be handled properly. Those who have an authority can do coordination and scheduling. Scheduling optimization model has some special characteristics. Among the existence of a number of emergency events at several locations at the same time, the limited number of medical staff, special skills need for handling emergencies, and the presence of medical personnel who are mobile can be done by modeling one assignment optimizationl, namely Integer Linear Programming (ILP) model. As for fast communication for coordination between the management authority with a number of doctors, a mobile application can be applied. In this research, Bipartite Graph (BG) model, Ford-Fulkerson Algorithm (FFA) and ILP model as the main part of the decision making structure are implemented into a program. The first model (BG) present concordance between physicians with their expertise's. The second model (FFA) helps the authority to determine medical staffwho meet the condition. The third, ILP model will help the authority to determine the best combination of medical staff assignment. Input, process, output, and feedback from the implementation are representing decision-making system for the medical staff assignment in to the emergency situation. So the medical team can quickly find out the assignment's schedule through mobile applications.
KW - ILP
KW - emergency condition
KW - medical staff
KW - mobile application
KW - scheduling optimization model
UR - http://www.scopus.com/inward/record.url?scp=84964931377&partnerID=8YFLogxK
U2 - 10.1109/ICTS.2015.7379901
DO - 10.1109/ICTS.2015.7379901
M3 - Conference contribution
AN - SCOPUS:84964931377
T3 - Proceedings of 2015 International Conference on Information and Communication Technology and Systems, ICTS 2015
SP - 215
EP - 218
BT - Proceedings of 2015 International Conference on Information and Communication Technology and Systems, ICTS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Information and Communication Technology and Systems, ICTS 2015
Y2 - 16 September 2015
ER -