in: Artificial Intelligence-based Healthcare Systems, Manju,Sandeep Kumar,Sardar M. N. Islam, Editor, Springer, London/Berlin , Berlin, pp.1-21, 2023
Home healthcare (HHC) services, delivered by healthcare professionals at patients’ homes, have seen a growing demand due to the increasing elderly population. The COVID-19 pandemic has highlighted the significance of medical homes, particularly for high-risk individuals. Implementation experiences show that team planning in HHC services enhances staff satisfaction by promoting balanced workload distribution, while effective planning reduces patient access times and improves overall system efficiency.
This study tackles a multi-objective HHC problem aimed at achieving balanced workloads for HHC teams, minimizing daily travel distances, and reducing appointment delays. By leveraging 2-day patient location data from a state hospital’s HHC unit, the problem was addressed using clustering analysis and genetic algorithm.