The medicine model carries enough detail to support the prescription workflow without turning clinical judgement into automation.
Brand/generic data, route, frequency, timing, instructions and pediatric metadata are part of the current source model. Hospital-specific visibility remains configurable.
Control room
Today’s activity stays connected to the encounter context.
Longitudinal record
Identity, continuity history and current encounter sit together.
Demo Patient
EPV-260921-0142 · 43 years · Male
History
Current encounter
Continuity
Vitals and encounter intake
The clinician gets the same encounter, not a newly inferred one.
Structured prescription
Diagnosis, medicines, dosing, follow-up and verification form one clinical output.
RX-260921-00483
Diagnosis: Type 2 diabetes mellitus · ICD-10 E11.9
| Medicine | Dose | Frequency | Route | Duration |
|---|---|---|---|---|
| Demo medicine | 500 mg | BD | PO | 30 days |
| Demo pediatric-ready syrup | 5 mL | OD | PO | 7 days |
Lab lifecycle
Order, collection, result, verification and release remain distinct states.
Financial handoff
Consultation payment stays separate from later laboratory and pharmacy charges.
Staff and governance
Position, system role, credentials, training and capability remain separate.
tenant
System role
Credential & training
Access and audit
Authorization, permission changes, activity and verification create the trust layer.
Structured medication data has a purpose.
The master supports prescribing detail, display consistency and pediatric-specific fields.
Indication and medicine context
Dose, frequency, duration, route, timing
Prescription instruction text and patient-facing guidance
Enable/disable, age range, weight range, dose type and value
Concentration amount and volume for liquid formulations
Maximum single dose and maximum daily dose
Per-hospital visibility without changing the global record
Age, weight and concentration belong in the data model.
That means a syrup can carry concentration context and pediatric rule metadata rather than relying on a doctor to infer everything from a free-text medicine name.