Data Dictionary
Every field the platform holds, where it comes from, and how it is classified. This is what determines which fields a given role can see and which can be used as discovery criteria.
Fields
Classification governs who may see the field and whether it can filter a cohort| Field | Type | Description | Source | Classification | Discovery |
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Health System Overview
The national picture in one view — where facilities are, what level of care they provide, how ready their infrastructure is, and how much activity they carry.
Facility distribution
Click a facility for detail · colour is service levelFacilities by ownership
Infrastructure readiness
% of facilitiesBeds by service level
Facilities by service level
HGR · CSR · CS · PSTop 10 provinces by facilities
Click a row to drill down| # | Area | Facilities | Beds | OPD visits |
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Clinical & Disease Intelligence
One burden chart drives the page. Select a condition and the trend, age and sex profile, geography, facility ranking and map all follow it.
Disease burden
Click to cross-filterTrend over time
Age & sex distribution
Burden by geography
Watchlist
Maternal & child health
Current scopeHighest-burden facilities
Click a row to drill into that facility| # | Facility | Level | Province | Cases | Share of OPD | YoY |
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Cases by facility
Circle size is case volume · click a point for detailLaboratory Capacity
Where laboratories are, whether they actually function, what equipment and staff they hold, which are connected to LifeLab, and what they test.
Laboratory network
Colour is functional statusFunctional status
Equipment availability
% of labsTests by type
Test volume over time
By test typeProvinces by test volume
Click a row to drill down| # | Area | Labs | Fully functional | On LIS | Tests |
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Sickle Cell Programme
From system-wide intelligence into one disease programme. The question is not only how many patients are registered, but how many can actually reach treatment where they are.
Care cascade
Care sites
Colour is treatment availability · size is caseloadService availability
Sites, and the patients they coverGenotype distribution
Patients by age group
Crisis & transfusion trend
Provinces by registered patients
Click a row to drill down| # | Area | Sites | Registered | Reach hydroxyurea | Coverage |
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Largest care sites
Dots show the six services · click to drill in| # | Site | Province | Registered | Active | Services | Coverage |
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Sandbox Overview
Who is in this population? Every figure below is computed live from the Buikwe sandbox dataset and responds to the global filters.
Population map — Buikwe District
Each point is one registered person · click a pointBlood group distribution
Consent status
LifeHealth Consent ServicePopulation by age group
Geography — by sub-county
Population Discovery — Donor Funnel
Apply criteria one by one and watch the population narrow. Every count is recomputed from the dataset after each change — nothing is hard-coded.
Live funnel
Criteria
Toggle to applyMatching population map
Cohort at a glance
Matching Population Profile
Understanding the population that remains after your criteria.
Age distribution
Sex
Blood group
Screening summary
Within matching populationDonation history
Proximity to facility
Where they are
Matching population onlyAuthorized List & Detail
Row-level records shown only to authorized roles, limited to consented individuals and permitted fields. Names below are pseudonymous demo identities.
Matching individuals
Click a row for the permitted detail view| # | Record ID | Name (pseudonym) | Age | Sex | Blood | Last donation | Distance | HBV | HIV | HCV | Consent |
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Facilities & Health Workforce
The same discovery pattern applied to the people who deliver care rather than receive it: which facilities can receive a donation, and which health workers are qualified to collect one.
Facility registry map
Click a pin for detail · scroll to zoomFacility registry
Click a row to make it the requesting facility| ID | Facility | Level | Ownership | Transfuses | Lab | Staff | Phleb. | Catchment |
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Provider discovery
Find qualified health workers meeting particular requirements| # | Staff ID | Name | Cadre | Facility | Experience | Phlebotomy | Blood-bank trained | Licence |
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