| | November 20209UTLOOKHealthcare Tech expediting our reaction time to address specific needs and/or challenges.My colleague Archie Dey, SCAN's director of consumer experience and insights, and his team took the lead on our NLP analysis, collaborating closely with our Healthcare Services and Member Services teams. He states, "Through our member interactions, data and advanced analysis derived through NLP, we are able to piece together information and address pain points and other areas of concern, driving a more personalized member experience."One of the specific pain points we've been able to address through this analysis is helping members with out-of-area coverage. We've not only been able to make interventions on an individual basis, but also look deeper into how we're educating members overall on their out-of-area coverage. Quick Pivot to Address COVID-19 As the information around the pandemic quickly developed, SCAN immediately ramped up efforts to identify the needs of seniors at highest risk within our communities and among our membership. We understood this situation would amplify the severity of the challenges and concerns common among this group, including food insecurity and isolation, posing a negative impact on their health, independence and wellbeing. In adjusting our NLP to track questions and concerns related to COVID-19, we've been able to quickly examine call data and rapidly conduct service interventions, connecting members with the support and resources they need. This tool has also provided us the ability to understand the scale of these concerns, enabling us to focus our efforts where needed most. And, since NLP is a dynamic process, we continue to adjust as the situation changes to ensure we are tracking what's most relevant.Our goal here at SCAN is to integrate the use of tech with our long-standing high-touch approach to service and care. Doing so enriches our interactions and ensures we're responding appropriately. Ultimately, we're able to deploy interventions that aren't simply quick and efficient, but are highly impactful and highly personalized. HTThrough our member interactions, data and advanced analysis derived through NLP, we are able to piece together information and address pain points and other areas of concern, driving a more personalized member experience. Josh Goode
< Page 8 | Page 10 >