Case Study: Luma Health achieves rapid, data-driven COVID-19 patient communications and scheduling improvements with Sisense

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Luma Health Leverages Sisense and Amazon Redshift to Address COVID-19

Luma Health is a San Francisco–based digital health company that uses its Total Patient Engagement™ platform to simplify scheduling, intake, and patient communications. When COVID-19 hit, providers faced surging messages, robocalls, mass cancellations and vulnerable patients—especially seniors—unable to reliably schedule or confirm visits. Luma’s operations and product teams needed fast, data-driven ways to understand changing patient-provider conversations and prevent widespread disruption to care.

Using Sisense connected to Amazon Redshift (kept live via AWS DMS), Luma Health performed rapid text analysis to spot COVID-related trends and proved SMS was the most effective outreach channel. They launched a free broadcast messaging system, automated schedule triggers from patient responses, and rolled out solutions in three weeks. The result: faster, real-time analytics and hypothesis testing, reduced manual scheduling work for provider staff, broader patient reach during the crisis, and ongoing offerings deployed without additional cost to providers.


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Luma Health

Aditya Bansod

Co-Founder and CTO


Sisense

166 Case Studies