Structure a shift's entries
The agent assigns notes, vital signs and interventions to the fields of the nursing documentation. Each entry keeps its time and the nurse who made it.
Early shift, ward 5, 34 entries assigned to 12 patientsHelps nursing staff keep documentation in order and plan shifts.
Developed in Germany · Hosted in the EU or on-premises
Delivered together with
Interventions, vital signs and observations are noted at the bedside and transferred to the nursing documentation later. Alongside this, tasks are checked against the roster, because open tasks pass to the next shift. If an intervention goes unrecorded, it only resurfaces on the ward round.
At the end of the shift, the 34 entries are already assigned and the half hour of catch-up disappears: 30% less documentation effort.
The 30% reduction in documentation effort is this agent's headline figure. Patient numbers, entries and catch-up time describe a typical early shift on a ward; none of it was measured here.
The agent assigns notes, vital signs and interventions to the fields of the nursing documentation. Each entry keeps its time and the nurse who made it.
Early shift, ward 5, 34 entries assigned to 12 patientsThe agent checks open tasks against the staffing of the next shift. It names whatever remains unassigned.
4 open tasks, 3 assigned to the late shift, 1 without a nurseThe agent presents the structured documentation and the handover list for review. The shift coordinator adds to them and signs.
schichtbericht_station5_frueh.pdf, 12 patients, 4 open tasksIt organises what has been recorded. If an intervention is missing, the line stays empty and the nurse fills it in.
It carries open tasks forward and shows who can take them on. Nursing management orders the intervention.
It works with the staffing that has been entered. The nursing shift coordinator makes any reassignments.
Connected systems
Operations
A pilot typically runs on your own data within 4 to 6 weeks. The agent connects to your existing systems rather than running as a separate, parallel environment.
EU cloud, private cloud or on-premises. Processing is GDPR-compliant and models are never trained on your data. Details in the Trust Center.
It is based on experience from comparable projects and process benchmarks, not a commitment. We work out the realistic effect for your organisation during the assessment before the pilot.