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Case study · 03

DialyCore

Clinical Information System for Hemodialysis Units

DialyCore is a clinical information system for hemodialysis units, bringing scheduling, treatment activity, operational analytics, and structured records into a focused workflow.

  • FastAPI
  • React
  • Data Systems
DialyCore hemodialysis unit sign-in and demo screen
DialyCore sign-in and read-only demo entry point.

System overview

The dashboard brings together active patients, dialysis sessions, treatment duration, and operational statistics so unit activity can be reviewed from one place.

DialyCore dialysis unit dashboard with operational statistics
Operational overview using sample records.

Workflow and scheduling

Weekly schedules organize rooms, dialysis periods, and patient allocation to support day-to-day operational coordination.

DialyCore weekly dialysis scheduling interface
Weekly scheduling workflow shown with sample records.

Patient registry

The searchable registry organizes sample patient records, medical file references, and status tracking in one structured view.

DialyCore patient registry and medical records interface
Searchable patient registry shown with sample records.

Treatment planning

Doctor orders organize treatment parameters, clinical checks, and medication directives within each sample record.

DialyCore doctor order interface for dialysis treatment planning
Structured treatment orders shown with sample clinical data.

Session documentation

Session records capture treatment timing, dialysis parameters, pre-treatment and post-treatment vitals, machine readings, and clinical notes.

DialyCore dialysis session details with treatment parameters and vitals
Dialysis session documentation shown with sample treatment data.

Unit analytics

The analytics view summarizes session activity, blood pressure trends, treatment performance, monthly volume, and medication-support metrics.

DialyCore unit analytics showing treatment and session metrics
Treatment and session metrics in the read-only demo interface.

Related research

Data Systems