TRIAGE
CTAS-based visibility
Five triage categories were used, from resuscitation and major trauma to lower-acuity cases.
What LEDD did
Make emergency-department status visible in real time.
The original pitch describes LEDD as a Live Emergency Department Dashboard implemented at King Abdulaziz University Hospital. It categorized patients using CTAS, displayed live case counts and estimated waiting time, and pulled data automatically from hospital systems for publication in the ER waiting room and on the web.
REAL-TIME FLOW
Live counts and waiting time
LEDD was designed to publish the number of cases in each triage category together with estimated waiting time.
PATIENT DECISION SUPPORT
Understand before arriving
The project aimed to help patients understand ER procedures and make a more informed decision before coming to the emergency department.
OPERATIONS
Support diversion and flow
The pitch proposed using visibility to redirect lower-acuity cases toward more appropriate care options and reduce complications and cost.
Network concept
Beyond one waiting-room screen.
The pitch positioned LEDD as a unified-network capability for patients, ER employees and healthcare-provider networks, and proposed linkage to channels such as 937 and an app. These are project propositions from the pitch, not claims of later deployment.
My documented role
Hospital IT leadership on the LEDD team.
The team slide identifies Dr. Adeeb Noor as PhD Bioinformatics and IT Director of King Abdulaziz University Hospital.
InstitutionKing Abdulaziz University Hospital
RoleIT Director / technology leadership on the project team
Project formOperational dashboard with a proposed SaaS and network expansion model
Source basis
This page summarizes the original LEDD pitch supplied by the project team. Commercial and outcome statements are presented as pitch propositions unless independently linked.