Earlier this year, the Academy of International Mobile Healthcare Integration (AIMHI) released our bi-annual 2024 Benchmark Report. While that report covered high-level metrics, respondents supplied a plethora of valuable, granular detail regarding operational and financial metrics.
We are releasing this BONUS EDITION of the Benchmark Report, detailing the Operational Metrics achieved by these High-Performance/High Value (HP/HV) EMS systems.
We encourage public policy officials and EMS system leaders to compare their performance metrics with these systems.
If you would like any assistance developing your metrics, please feel free to contact us at hello@aimhi.mobi
Key Takeaways from this Report include:
The per-Capita response rate for participating AIMHI member agencies was 0.18961, meaning a ‘typical’ 100,000 population community would generate 18,961 EMS responses.
To meet this response demand, participating AIMHI agencies scheduled an average of 0.37305 unit hours per Capita, meaning an average of 37,305 ambulance unit hours per 100,000 population, or the equivalent of 4.3 ambulances per 100,000 people.
Response Unit Hour Utilization (UHU-R) for AIMHI agencies participating in the survey was 0.508, essentially meaning on average, an on-duty ambulance was assigned to a response 50.8% of the time they were on-duty.
Respondents reported achieving an average of 90.1% scheduling efficiency, meaning they were able to provide 90.1% of the planned unit hours.
Click the link below to view and download the full BONUS EDITION: Operational KPIs Report:
2024 High Performance-High Value EMS Delivery KPIs - Operational - FINAL.pdf
------------------------
Our desire in releasing these performance metrics is to assist local policy makers and EMS leaders evaluate their EMS system’s performance, balanced with the needs and desires of the community the system serves.
These are examples of operational KPIs for some of America’s highest performing EMS systems.
No two systems are alike, and variables such as how long it takes to complete an EMS response due to factors such as travel distances, hospital delays and desired response times could impact the resources needed to effectively serve the community.
