SCP Health - mySCP Coverage

Product design, ui + ux design + dev for healthcare platform

ui + ux design
web app development
sql db & data ingestion
algo integration
orchestration with automated qc

This purpose-built app has multiple user roles with varying workflow and permissions. Operational users are prompted through a scripted workflow to configure the system for their specific site(s) and then use the system monthly to schedule. Schedulers receive automated alerts when a schedule has been selected and see just the information that they need to begin scheduling. Managers and leadership can see performance dashboards for the sites that they cover and can check the accuracy and performance of the system.

MSQL Server

mySCP Coverage

SCP Health
Earthsciout web + mobile app screenshot preview


Machine learning algorithms use each sites’ data to predict future ED volumes. They are automatically tuned to each site’s nuances accounting for factors such as seasonality, holidays, Covid and local patterns of behavior. This is then fed into a simulation engine that accounts for site specific patient mix, acuity and arrival variation. The simulation outputs a probabilistic demand for provider services for each half hour of the scheduling period.

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A simplified heat map view of the month shows users what the quality of “fit” is for their default, suggested and any custom schedules that the user has selected. The system suggests optimized scheduling options (solver) and is designed to promote users to use a repeating pattern of schedule to the extent possible to minimize complexity for the schedulers.

home dashbaord screenshots


For each day of the month, users can “drill down” to see a comparison of forecasted supply vs demand for various potential schedules. This information helps users to understand why the system is suggesting certain scheduling options and where the fit of supply vs demand is under/over vs forecast.

chart screenshots
Web gird screenshot

other details

Ensue partnered with AndrewDayLLC and Novasim to design, prototype and then build this system for SCP. Development was agile and the system continues to evolve both adding new features and improving accuracy over time. Ensue provided service and support throughout the first year of adoption and use while training SCP to become self sufficient.