Reports & operational management

Review occupancy, shift coverage, time expenditure, services, supplies and quality through a few task-focused views.

Every indicator has a stable code, professional owner, definition and revision, unit, permitted dimensions, source and freshness target; the same label must not conceal a different calculation.

Projections process events idempotently, handle late events and corrections and show data version, backlog and missing data per source.

Role-specific dashboards limit dimensions and resident or staff references before a query runs. A management role alone does not open complete care records or confidential personnel data.

Scheduled, actual and billed values are separate; errors or backlogs lead to a visible ‘incomplete/outdated’ status, not an apparently current zero.

Period, site and permitted filter selections in shared links remain subject to current permission checks. A saved view does not extend access rights.

Responsibility

Management and ward or operational managers have access by dimension; data owners approve definitions; technical operators see backlogs without full professional visibility.

Automation & AI

Rule-based thresholds and trend alerts; AI may explain permitted indicators and formulate queries. Dashboard text never produces an automatically binding staffing or occupancy decision. AI features require activation at your request. Processing remains on Oronela's own servers in Switzerland.

Explain figures and share them in a controlled way without disclosing individuals through details, exports or small groups.

Drill-down recalculates the permitted source scope on retrieval; search indexes, temporary files and export jobs follow the same rules as the source.

Asynchronous exports have a snapshot, format and language profile, scope, purpose, approval, retention and revocable time-limited availability; permissions are rechecked at job start and delivery.

Cross-organisation analysis requires a separately approved agreement or policy and appropriate aggregation or demonstrated anonymisation. Tenant boundaries must not be bypassed by a central SQL superuser.

Versioned disclosure profiles govern small-group protection and relevant differencing or combination attacks through repeated filters and exports. Pseudonymised data remains protected accordingly.

Table exports neutralise spreadsheet formula interpretation in free text and separate machine-readable values from localised display. Export files contain only approved columns.

Responsibility

Report users within their scope, separately authorised approvers for use across organisations and auditors according to purpose; a global administrator role does not grant disclosure approval.

Automation & AI

Automatic policy, scope and completeness checks; AI can explain columns. AI must neither bypass approval nor reconstruct suppressed individual values through additions. AI features require activation at your request. Processing remains on Oronela's own servers in Switzerland.

Compare the effects of occupancy, staff availability and demand before a professional decision.

A simulation has a purpose, baseline data version, assumptions, time horizon, parameters, model or rule revision and named limitations; its result is clearly separate from actual values and a binding plan.

Users can vary permitted parameters and compare scenarios; restricted source data must not influence accessible results invisibly.

Deterministic models use traceable rules; statistical and ML forecasts receive separate suitability and quality assessments, uncertainty displays and drift monitoring appropriate to the approved purpose.

Transferring a scenario into a real shift or occupancy schedule is a separate authorised command in the responsible module, with renewed checks of current data and rules.

Insufficient baseline data, inputs outside the approved range or a missing model revision do not produce a seemingly precise, binding recommendation.

Responsibility

Authorised planning and management roles, model owners for approvals; no clinical forecast outside a separately approved intended purpose.

Automation & AI

Local AI formulates assumptions as a reviewable draft and explains results with sources. The calculation model and data basis supply values; language-model text must not add missing figures as facts. AI features require activation at your request. Processing remains on Oronela's own servers in Switzerland.