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Emergency department: arrivals, waits and beds
Every arrival at the emergency department leaves a time, a triage code and a wait, and the wards know how many beds they have free. Muvia brings it all together hour by hour: you see the surge coming, you know when people arrive, and the ward screen updates by itself.
Illustrative scenario: it describes a typical case, not a customer project.
A surge gives no warning. The data, hour by hour, shows it coming.
The emergency department system records every arrival, its triage code, the wait and the outcome; the admissions system knows how many beds are free on each ward. Usually the two meet in a meeting, with last week's data.
Put together hour by hour, they show when respiratory cases start to rise, on which days and at what time people arrive, and how many beds are left. Whoever plans rotas and beds knows it before, not after.
- Who it's for
- Hospital and medical directors, emergency department leads, bed managers and nursing coordinators.
In Muvia, step by step
Real product screens, recorded on a project with sample data.
The video · Every arrival at the emergency department leaves a time, a triage code and a wait, and the wards know how many beds they have free. Muvia brings it all together hour by hour: you see the surge coming, you know when people arrive, and the ward screen updates by itself.
What you get
- The surge seen coming
- The rise in respiratory cases shows in the data, day by day, before the corridors fill up.
- Rotas built on the real peaks
- The map of arrivals by day and hour shows when more staff are needed, from the hospital's own data.
- The same picture for everyone
- Emergency department, wards and management look at the same screen, with the same definitions of wait and free bed.
- Clinical systems never notice
- Muvia copies data on a schedule: no analysis runs against the emergency department or admissions databases.
For the technical team
How it is built in Muvia
- 1
Connect arrivals and beds
The emergency department and admissions databases are copied on a schedule, incrementally and over an encrypted connection, without being queried live. Rotas arrive as an Excel file.
- 2
Annotate the surge in Analysis
In Analysis, put arrivals, the share of respiratory cases and free beds on the same axis; a condition highlights the periods over the threshold and the team marks the start of the surge on the chart.
- 3
See when people arrive
A dashboard shows a heatmap of arrivals by day and hour, waits by triage code and ward occupancy.
- 4
Bring the dashboard to the ward
Kiosk mode shows the dashboard full screen on the ward monitor, refreshed with every new copy of the data.
- 5
Set a threshold on waits
An alarm opens when the wait for lower-priority codes crosses the threshold; in the register, whoever takes it notes what was done.
- The data it needs
- Emergency department arrivals with time, triage code, reason, wait and outcome, from a SQL Server database
- Occupied and free beds per ward, hour by hour, from an Oracle database
- Staff rotas per ward, from an Excel file
- Parts of Muvia used
More cases in this line
All use cases- Vital signs: from noise to episodeWard monitors record oxygen saturation, heart rate and breathing every few seconds, along with many alarms that are not real episodes. In Muvia a Python function removes the noise bed by bed, Analysis overlays the real desaturations and staff note on the chart what happened.
- Clinical trial: the interim analysisA trial's visits, measurements and adverse events come from the data capture system, the randomisation list from a file. Muvia joins them patient by patient, a Python function reruns the statistical comparison at every visit, and the interim report for the committee is always up to date.
- Screening programmes by districtA screening programme's invitations, uptake and tests sit in the invitation system, the laboratory's results and the clinics' schedules. Muvia joins them district by district: who takes part least, where the follow-up test takes longest, and Athena explaining why and saving the analysis.
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