Freestanding Emergency Care Center
CaroMont Health
This contemporary, two-story cutting-edge facility is designed around a new model of care that completely re-evaluates the patient experience with emergency care services.
The innovative “no wait” model features six rapid medical evaluation rooms with a patient and family “results lounge” for those with quick, in and out needs. For patients requiring further care or observation, the facility combines 12 treatment areas with two trauma / resuscitation rooms.
The staff work areas are separated from the patient and family areas, creating a quiet, less stressful working environment where doctors and nurses can easily communicate. In addition, the building exterior was designed to harmonize with the architectural character of the community’s Historic Mill District.
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SSOE is currently piloting software that puts a copilot engine in Revit. Using Natural Language Processing (NLP) we can prompt Revit activities such as cleaning up parameter data, annotation, dimensions, sheets and then can share and deploy automations to co-workers in different workspaces within a project. Transforms traditional process of scripts >> write the code, execute command upon an SME directing. (see transcript)
Github Copilot we’re deploying with our Software Development Community so they can utilize a NLP interface and access Github enterprise knowledge to expedite advance coding. https://github.com/features/copilot – gives them the ability to utilize an agent to help with “manual” process of writing code that then they can polish, make happen.
We helped our client visualize and optimize façade design for occupant comfort—long before breaking ground through the use of the Autodesk Forma tool. It allows the designer to rapidly experiment with the building’s geometry and façade design to discover the most suitable form, prioritizing quality of spaces and comfort for end uses, especially in extreme climates (daylighting and microclimate analysis tools) at the project’s exact geographic location, using location-specific environmental data.
SSOE is utilizing Microsoft Copilot to significantly enhance work efficiency and accuracy across various departments. Copilot is accessible to all staff after training. Key areas of application include using it as a writing assistant, for idea generation, document summarization and generation, research assistant, excel assistant, programming code assistant, language translations, product comparison and data analysis. Use of Copilot has become part of the everyday life of SSOE employees who have identified key ways it can help them become more efficient with their daily tasks as well as more accurate in their deliverables.
75% of SSOE employees have taken the training / have access to Copilot with a goal of 100% by the end of PY25.
We found ourselves in need of a more robust tool to enhance resource forecasting and staff assignment capabilities. Instead of waiting for the perfect tool, we’re building it. SSOE’s in-house technology team has developed and piloted a tool that aims to forecast optimal staff mix and duration for new projects against existing workload to better understand capacity and manage resources efficiently. Additionally, the tool will allow teams to estimate staff requirements and identify gaps.