0341 Digital Health Technology to Support Autonomous Sleep Monitoring and Management in Multi-Domain Operational (MDO) Environments

Abstract Introduction Sleep and fatigue management strategies can substantially impact the Armed Forces’ readiness fitness. These be implemented with behavioral health personnel Wi-Fi connectivity to support real-time assessment, monitoring, intervention. However, these resources are not readily available in multi-domain operational (MDO) environments. An autonomous Wi-Fi-independent digital sleep tool (DSFMT) could offer a critical advantage detecting, providing just-in-time recommendations for Soldiers unit performance. We describe how we adapted validated sleep-focused clinical decision platform into DSFMT use MDO Methods Semi-structured interviews were conducted 6 Army Key Opinion Leaders (KOLs) assess perceived utility of identify key requirements. also literature review evidence-based optimization mitigation real or simulated military environments, occupations high disruption. Directives from all branches U.S. Forces reviewed. Results KOLs enthusiastic about proposed emphasized three requirements: (1) brief actionable content; (2) tap Soldiers’ competitive nature; (3) provide level metrics medic. Five education topics (e.g., consequences insufficient sleep) eight self-optimization banking) identified included content. The resulting consists smartphone-based Soldier App that captures self-reported data offers individualized feedback self-management strategies, Medic displays aggregate unit-level status. apps operate when connected have capabilities offline collection transfer via Bluetooth. Conclusion created an initial prototype used environments meets KOL 246 field tested this prototype. Findings ongoing acceptability feasibility analyses will inform next iteration. Support (If Any) This project is partially funded by MTEC-19-02-TeleSleep-001-2019-406. opinions assertions contained herein those authors do necessarily reflect views Department Defense.