Atlas

Your patient population. Mapped.

MCM Atlas visualises patient origin, disease distribution, and health demand by geographic territory — giving health facility managers and regional health authorities the spatial intelligence they need to plan services.

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How it works

01

Map patient origin

Patient home locations aggregated and mapped at the commune or wilaya level. Understand where your patients come from and which populations are using your services.

02

Visualise disease patterns

Diagnoses and conditions mapped geographically. Identify concentrations, seasonal patterns, and emerging trends by territory. Epidemiological intelligence from your own patient data.

03

Analyse service demand

Appointment and admission volumes mapped against population density and geographic coverage. Identify underserved areas and demand patterns that inform service development.

04

Share with health authorities

Anonymised aggregated reports exportable for regional health authorities, public health reporting, and facility planning. Your data contributes to the health system.

Key features

Geographic patient mapping

Patient home locations visualised at commune and wilaya level. Heat maps, density maps, and origin analysis. Understand your catchment area precisely.

Epidemiological pattern detection

Diagnoses from your patient population mapped geographically and over time. Identify disease concentrations and emerging patterns before they become crises.

Service demand analysis

Appointment and hospitalisation demand mapped against population and geography. Identify gaps in coverage and inform decisions about service development.

Anonymised reporting

All geographic analysis uses anonymised, aggregated data. Patient privacy protected. Reports ready for health authorities in the required formats.

Natively connected to MCM

Everything connected — no re-entry, no broken flows.

Who is it for?

🏥

Health Facility Directors

Service planning

🗺️

Regional Health Authorities

Public health reporting

🔬

Epidemiologists

Disease pattern analysis

Frequently asked questions

What geographic granularity is available?

Atlas maps data at commune, daira, and wilaya levels. The granularity available depends on patient address data quality in the system.

Is individual patient location data exposed?

No. All geographic visualisation uses anonymised, aggregated data. Individual patient locations are never exposed in Atlas outputs.

Can Atlas data be exported for health authority reporting?

Yes. Anonymised aggregate reports are exportable in formats suitable for regional health authority reporting and public health surveillance requirements.

Does Atlas require additional data sources beyond MCM?

No. Atlas draws from the patient and clinical data already captured in MCM modules. No external data integration is required to start using Atlas.

MCM Atlas for your territory

Request a demo showing your facility’s geographic data.

Request a Demo