Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
Traditional metrics fall short in capturing the complexities of healthcare delivery, leading to misallocation of resources based on oversimplified metrics and fluctuating performance rankings. This study introduced the Agile Healthcare Performance Index (AHPI), designed to offer a comprehensive metric that integrates operational factors, aiming to enhance healthcare quality improvement initiatives through better resource allocation and operational decision-making. Employing synthetic data for 50,000 care episodes across four distinct hospital service lines, the construction of the AHPI involves weighting service lines by operational priorities, with a comparison to a static unweighted index to illustrate the benefits of this approach. Use of the AHPI demonstrated superior performance measurement within healthcare operations, showing adaptability and temporal sensitivity vital for healthcare planning and evaluation. The comparison with the unweighted index highlights the ability of the AHPI to reflect operational dynamics accurately.
Recommended Citation
Alain, Gabriel; Quatman, Carmen; and Quatman-Yates, Catherine, "Designing and Evaluating an Agile Healthcare Performance Index for Guiding Quality Improvement in Healthcare Operations" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 2.
https://aisel.aisnet.org/hicss-58/hc/emergency_care/2
Designing and Evaluating an Agile Healthcare Performance Index for Guiding Quality Improvement in Healthcare Operations
Hilton Waikoloa Village, Hawaii
Traditional metrics fall short in capturing the complexities of healthcare delivery, leading to misallocation of resources based on oversimplified metrics and fluctuating performance rankings. This study introduced the Agile Healthcare Performance Index (AHPI), designed to offer a comprehensive metric that integrates operational factors, aiming to enhance healthcare quality improvement initiatives through better resource allocation and operational decision-making. Employing synthetic data for 50,000 care episodes across four distinct hospital service lines, the construction of the AHPI involves weighting service lines by operational priorities, with a comparison to a static unweighted index to illustrate the benefits of this approach. Use of the AHPI demonstrated superior performance measurement within healthcare operations, showing adaptability and temporal sensitivity vital for healthcare planning and evaluation. The comparison with the unweighted index highlights the ability of the AHPI to reflect operational dynamics accurately.
https://aisel.aisnet.org/hicss-58/hc/emergency_care/2