Edward P Krenzelok1, Rita Mrvos. 1. Pittsburgh Poison Center, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA. krenzelokep@upmc.edu
Abstract
INTRODUCTION: In 2007, medication identification requests (MIRs) accounted for 26.2% of all calls to U.S. poison centers. MIRs are documented with minimal information, but they still require an inordinate amount of work by specialists in poison information (SPI). An analysis was undertaken to identify options to reduce the impact of MIRs on both human and financial resources. METHODS: All MIRs (2003-2007) to a certified regional poison information center were analyzed to determine call patterns and staffing. The data were used to justify an efficient and cost-effective solution. RESULTS: MIRs represented 42.3% of the 2007 call volume. Optimal staffing would require hiring an additional four full-time equivalent SPI. An interactive voice response (IVR) system was developed to respond to the MIRs. DISCUSSION: The IVR was used to develop the Medication Identification System that allowed the diversion of up to 50% of the MIRs, enhancing surge capacity and allowing specialists to address the more emergent poison exposure calls. This technology is an entirely voice-activated response call management system that collects zip code, age, gender and drug data and stores all responses as .csv files for reporting purposes. The query bank includes the 200 most common MIRs, and the system features text-to-voice synthesis that allows easy modification of the drug identification menu. Callers always have the option of engaging a SPI at any time during the IVR call flow. CONCLUSIONS: The IVR is an efficient and effective alternative that creates better staff utilization.
INTRODUCTION: In 2007, medication identification requests (MIRs) accounted for 26.2% of all calls to U.S. poison centers. MIRs are documented with minimal information, but they still require an inordinate amount of work by specialists in poison information (SPI). An analysis was undertaken to identify options to reduce the impact of MIRs on both human and financial resources. METHODS: All MIRs (2003-2007) to a certified regional poison information center were analyzed to determine call patterns and staffing. The data were used to justify an efficient and cost-effective solution. RESULTS: MIRs represented 42.3% of the 2007 call volume. Optimal staffing would require hiring an additional four full-time equivalent SPI. An interactive voice response (IVR) system was developed to respond to the MIRs. DISCUSSION: The IVR was used to develop the Medication Identification System that allowed the diversion of up to 50% of the MIRs, enhancing surge capacity and allowing specialists to address the more emergent poison exposure calls. This technology is an entirely voice-activated response call management system that collects zip code, age, gender and drug data and stores all responses as .csv files for reporting purposes. The query bank includes the 200 most common MIRs, and the system features text-to-voice synthesis that allows easy modification of the drug identification menu. Callers always have the option of engaging a SPI at any time during the IVR call flow. CONCLUSIONS: The IVR is an efficient and effective alternative that creates better staff utilization.