Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Nation-wide physician shortages and the rise of virtual access to healthcare have driven many organizations to seek innovative ways to integrate digital and automated care programs to serve their members better. We work closely with a large HMO and investigate the option of incorporating an independent third-party service that provides select patients rapid access to virtual Dermatological AI Systems. In this paper, we analyze the impact of this innovative hybrid service system on the waiting times for highly-demanded specialty medical care: here, the automated appointment scheduling system dynamically activates the virtual care only when the in-person service lines get overloaded beyond a predetermined threshold. Using extensive appointment field data, we show that our proposed hybrid service delivery policy significantly improves service quality - even when the virtual care channel serves only a tiny proportion of all patients.
Recommended Citation
Baron, Opher; Chen, Fanying; and Seidmann, Abraham, "The Dynamic Integration of AI - Driven Telemedicine with In-Office Specialty Care" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 7.
https://aisel.aisnet.org/hicss-57/os/digitization/7
The Dynamic Integration of AI - Driven Telemedicine with In-Office Specialty Care
Hilton Hawaiian Village, Honolulu, Hawaii
Nation-wide physician shortages and the rise of virtual access to healthcare have driven many organizations to seek innovative ways to integrate digital and automated care programs to serve their members better. We work closely with a large HMO and investigate the option of incorporating an independent third-party service that provides select patients rapid access to virtual Dermatological AI Systems. In this paper, we analyze the impact of this innovative hybrid service system on the waiting times for highly-demanded specialty medical care: here, the automated appointment scheduling system dynamically activates the virtual care only when the in-person service lines get overloaded beyond a predetermined threshold. Using extensive appointment field data, we show that our proposed hybrid service delivery policy significantly improves service quality - even when the virtual care channel serves only a tiny proportion of all patients.
https://aisel.aisnet.org/hicss-57/os/digitization/7