Development of Defense Health Network (DHN) Dashboard for the Tracking and Reporting of DHN Functional Capabilities : Booz Allen Hamilton , May 8 , 2024
Development of Defense Health Network (DHN) Dashboard for the Tracking and Reporting of DHN Functional Capabilities : Booz Allen Hamilton , May 8 , 2024
From the document: “The Defense Health Agency (DHA), oversight agency for the Defense Health Networks (DHNs) of military Medical Treatment Facilities (MTFs), tasked the Information Analysis Center Multiple Award Contract (IAC MAC) to develop a DHN staffing dashboard for assessing and reporting DHN functional capabilities. The objective was to perform a gap analysis of DHA’s support capabilities to ensure all responsibilities were fulfilled or identified for appropriate action. IAC MAC developed the DHN staffing dashboard based on initial analyses of DHN leadership feedback about their current-state staffing status. IAC MAC consolidated feedback and used it to populate the staffing dashboard, then conducted additional analysis to develop an automated dashboard that would prioritize efficiency and accuracy, consolidate the staffing reporting process, optimize capabilities uniquely tailored to each DHN’s specific needs, and maintain standardization.
The final dashboard eliminated most manual entry from the process and shortened the assessment and reporting time, allowing leadership to quickly analyze the staffing status at the DHNs, view trends, and gain insights into staffing challenges. Leaders can also apply the methodology for developing the dashboard to future DHN analysis needs as they arise, in support of DHA’s overarching commitment to standardization and centralized MTF management to improve health and readiness. Other DoD organizations can apply IAC MAC’s staffing analysis tool and development methodology to stand up new regional structures, find efficiencies, and staff up quickly. The automation process outlined in this report can also enhance methods for analyzing and measuring other critical organizational metrics to reduce level of effort, inaccuracies, lead times, and more.”
Authors - Beil, Katherine, Vendt, Nathan, Ruggiero, DomenicoSubjects
Authors
Publishers
Format
Related Resources
