Domain scope
Move from a synthetic resident to care encounters, facilities and the clinical context included in the published sample.
Read the published guide →Nairobi · People & society
Move from a synthetic resident to care encounters, facilities and the clinical context included in the published sample.
Public sample available
Published domain facts
Move from a synthetic resident to care encounters, facilities and the clinical context included in the published sample.
Read the published guide →Public sample available
Preview samples & fields →Early histories rely on sparse, sometimes broader geographic evidence. Visits sample eligible citizens. Eligibility coverage and channel balance remain calibration gaps; diagnoses may use current geography. Co-occurring conditions do not establish clinical relationships unless explicitly modeled. Records are synthetic.
Review the source limits →Connect synthetic residents to facilities, care encounters and clinical histories. Review the published scope before clinical or population-level analysis.
Inspect the published scope and deployment boundaries.
FCTE models disease, healthcare access, facilities, visits and population health within the same synthetic city where people live, work, travel, age and experience historical events.
Health records remain connected to the citizens, households, geography, insurance and other city systems that shape healthcare demand.
Nairobi City Twin™ · 1940–2026
| Given name | Family name | Visit date | Visit type | Age at visit | Visit facility name | Triage priority | Diagnosis code (ICD-10) |
|---|---|---|---|---|---|---|---|
| Kinuthia | Muriuki | 2026-06-30 | OPD | 50 | Kiamaiko Community Clinic | Not recorded | A09 |
| Adipo | Ouma | 2026-06-30 | OPD | 62 | MakinaDispensary | Not recorded | I63.9 |
| Njambi | Nderitu | 2026-06-30 | IPD | 46 | Kayole North Private Hospital | Not recorded | A15.0 |
Showing 3 of 100 sample rows and 8 of 128 fields. “Not recorded” is a display label; downloads retain original values.
The first name assigned to the synthetic resident.
Original field: FirstName
Example: Kinuthia
The family name assigned to the synthetic resident.
Original field: LastName
Example: Muriuki
The date recorded for the visit event.
Original field: VisitDate
Example: 2026-06-30
The category or type assigned to the visit in the source record.
Original field: VisitType
Example: OPD
The synthetic patient’s age in years at the time of the visit.
Original field: AgeAtVisit
Example: 50
The name recorded for the visit facility associated with this record.
Original field: VisitFacilityName
Example: Kiamaiko Community Clinic
The recorded urgency category assigned during the visit.
Original field: TriageLevel
Example: 4
The published ICD-10 code identifying the recorded diagnosis.
Original field: DiagnosisICD10Code
Example: A09
| Visit date | Visit type | Age at visit | Visit facility name | Triage priority | Diagnosis code (ICD-10) | Visit reference | Resident reference |
|---|---|---|---|---|---|---|---|
| 9/19/2011 12:00:00 AM | OPD | 23 | PHC Makongeni | Not recorded | D57.4 | 10058861 | 3430155 |
| 9/15/2023 12:00:00 AM | OPD | 24 | Dandora Area II Mission Hospital | Not recorded | C53.9 | 5739627 | 1969481 |
| 1/27/2017 12:00:00 AM | IPD | 46 | PHC Kayole Central II | Not recorded | A53.9 | 1856629 | 719126 |
Showing 3 of 100 sample rows and 8 of 177 fields. “Not recorded” is a display label; downloads retain original values.
The date recorded for the visit event.
Original field: VisitDate
Example: 9/19/2011 12:00:00 AM
The category or type assigned to the visit in the source record.
Original field: VisitType
Example: OPD
The synthetic patient’s age in years at the time of the visit.
Original field: AgeAtVisit
Example: 23
The name recorded for the visit facility associated with this record.
Original field: VisitFacilityName
Example: PHC Makongeni
The recorded urgency category assigned during the visit.
Original field: TriageLevel
Example: 1
The published ICD-10 code identifying the recorded diagnosis.
Original field: DiagnosisICD10Code
Example: D57.4
The reference used to identify the visit associated with this record.
Original field: VisitId
Example: 10058861
The synthetic resident reference used to connect this record to other city data.
Original field: CitizenId
Example: 3430155
CitizenIdResident referenceNationalIdNational identity referenceFirstNameGiven nameMiddleNameMiddle nameLastNameFamily nameDOBDate of birthGenderGenderEthnicGroupIdEthnic group referenceCitizenWardIdCitizen ward referenceCitizenWardResident’s wardCitizenRegistrationDateCitizen registration dateResidencyStatusResidency statusCurrentCountryCodeCurrent country codeDepartureDateDeparture dateIsPhysicallyResidentPhysically residentRelationshipCodeRelationship to household headPatientIdPatient referencePatientNumberPatient numberBloodGroupBlood groupNHISNumberHealth insurance referencePatientRegistrationDatePatient registration dateRegisteredFacilityIdRegistered facility referencePatientIsActivePatient activeRegisteredFacilityCodeRegistered facility codeRegisteredFacilityNameRegistered facility nameRegisteredFacilityLevelRegistered facility levelRegisteredFacilityTypeRegistered facility typeRegisteredFacilityOwnershipRegistered facility ownershipVisitIdVisit referenceVisitDateVisit dateVisitTypeVisit typeTriageLevelTriage priorityAdmissionDateAdmission dateDischargeDateDischarge dateVisitWardIdVisit ward referenceEncounterStatusEncounter statusAdmissionLengthDaysLength of admission (days)AgeAtVisitAge at visitVisitFacilityIdVisit facility referenceVisitFacilityCodeVisit facility codeVisitFacilityNameVisit facility nameVisitFacilityLevelVisit facility levelVisitFacilityTypeVisit facility typeVisitFacilityOwnershipVisit facility ownershipBedCountBed countHasMaternityMaternity recordedHasEmergencyEmergency recordedHasOperatingTheatreOperating theatre recordedHasICUIntensive care availableHasOncologyOncology recordedHasDialysisDialysis recordedHasTBServicesTuberculosis services availableHasLaboratoryLaboratory recordedVisitAtRegisteredFacilityVisit at registered facilityAttendingStaffIdAttending staff referenceAttendingStaffNumberAttending staff numberAttendingStaffNameAttending staff nameAttendingStaffCategoryAttending staff categoryAttendingSpecializationAttending clinician specialtyAttendingLicenceNumberAttending clinician licenceAttendingMDCNNumberAttending clinician registrationAttendingStaffIsActiveAttending staff activeVitalRecordCountVital record countVitalRecordedDateVital recorded dateSystolicBPSystolic blood pressureDiastolicBPDiastolic blood pressureHeartRateBpmHeart rate (beats/min)TemperatureCTemperature (°C)RespRatePerMinBreathing rate (breaths/min)SpO2PctOxygen saturation (%)WeightKgWeight (kg)HeightCmHeight (cm)BMIBody mass indexDiagnosisCountDiagnosis countConfirmedDiagnosisCountConfirmed diagnosis countDiagnosisIdDiagnosis referenceDiagnosisICD10CodeDiagnosis code (ICD-10)DiagnosisTypeDiagnosis typeDiagnosisIsConfirmedDiagnosis confirmedConditionCountCondition countConditionICD10CodeCondition code (ICD-10)ConditionOnsetDateCondition onset dateConditionResolvedDateCondition resolved dateConditionStatusCondition statusConditionSeverityCondition severityLabResultCountLab result countAbnormalLabCountAbnormal lab countPanelCodePanel codeTestCodeTest codeResultDateResult dateResultValueLaboratory resultUnitResult unitAbnormalFlagResult flagged abnormalLabResultStatusLab result statusPrescriptionCountPrescription countDispensedPrescriptionCountDispensed prescription countPrescriptionIdPrescription referenceMedicationCodeMedication codeMedicationNameMedication nameDosageFormMedication formQuantityQuantityDurationDaysDuration (days)IsDispensedDispensedProcedureCountProcedure countProcedureIdProcedure referenceProcedureCodeProcedure codeProcedureDateProcedure dateProcedureOutcomeProcedure outcomeProcedureSourceICD10CodeProcedure-related diagnosis codePerformingStaffNamePerforming staff namePerformingStaffCategoryPerforming staff categoryPerformingStaffSpecializationPerforming staff specializationProcedureFacilityNameProcedure facility nameReferralCountReferral countReferralIdReferral referenceReferralICD10CodeReferral diagnosis codeReferralReasonReferral reasonReferralDateReferral dateReferralOutcomeReferral outcomeReferralFromFacilityReferring facilityReferralFromFacilityLevelReferring facility levelReferralToFacilityReceiving facilityReferralToFacilityLevelReceiving facility levelHasDiagnosisDiagnosis recordedReceivedPrescriptionPrescription recordedHadProcedureProcedure recordedReferralStatusReferral statusTemporalValidationStatusDate consistency checkVisitIdVisit referenceCitizenIdResident referenceHouseholdIdHousehold referencePatientIdPatient referenceFullNameResident nameSnapshotDateSnapshot dateDOBDate of birthGenderGenderEthnicGroupEthnic groupCitizenWardNameCitizen ward nameHouseholdTypeHousehold typeHouseholdRoleRole in householdHouseholdSizePeople in householdPatientNumberPatient numberBloodGroupBlood groupNHISNumberHealth insurance referencePatientRegistrationDatePatient registration datePatientIsActivePatient activeRegisteredFacilityNameRegistered facility nameRegisteredFacilityLevelRegistered facility levelRegisteredFacilityOwnershipRegistered facility ownershipVisitDateVisit dateVisitTypeVisit typeTriageLevelTriage priorityAdmissionDateAdmission dateDischargeDateDischarge dateVisitWardIdVisit ward referenceEncounterStatusEncounter statusAdmissionLengthDaysLength of admission (days)AgeAtVisitAge at visitVisitFacilityNameVisit facility nameVisitFacilityLevelVisit facility levelVisitFacilityTypeVisit facility typeVisitFacilityOwnershipVisit facility ownershipBedCountBed countHasMaternityMaternity recordedHasEmergencyEmergency recordedHasOperatingTheatreOperating theatre recordedHasICUIntensive care availableHasOncologyOncology recordedHasDialysisDialysis recordedHasTBServicesTuberculosis services availableHasLaboratoryLaboratory recordedVisitAtRegisteredFacilityVisit at registered facilityAttendingStaffNameAttending staff nameAttendingStaffCategoryAttending staff categoryAttendingSpecializationAttending clinician specialtyVitalRecordCountVital record countVitalRecordedDateVital recorded dateSystolicBPSystolic blood pressureDiastolicBPDiastolic blood pressureHeartRateBpmHeart rate (beats/min)TemperatureCTemperature (°C)RespRatePerMinBreathing rate (breaths/min)SpO2PctOxygen saturation (%)WeightKgWeight (kg)HeightCmHeight (cm)BMIBody mass indexDiagnosisCountDiagnosis countConfirmedDiagnosisCountConfirmed diagnosis countDiagnosisICD10CodeDiagnosis code (ICD-10)DiagnosisTypeDiagnosis typeDiagnosisIsConfirmedDiagnosis confirmedConditionCountCondition countConditionICD10CodeCondition code (ICD-10)ConditionOnsetDateCondition onset dateConditionResolvedDateCondition resolved dateConditionStatusCondition statusConditionSeverityCondition severityCancerStageCodeCancer stage codeCancerStagedDateCancer staged dateLabResultCountLab result countAbnormalLabCountAbnormal lab countPanelCodePanel codeTestCodeTest codeResultDateResult dateResultValueLaboratory resultUnitResult unitAbnormalFlagResult flagged abnormalPrescriptionCountPrescription countDispensedPrescriptionCountDispensed prescription countMedicationCodeMedication codeMedicationNameMedication nameDosageFormMedication formQuantityQuantityDurationDaysDuration (days)IsDispensedDispensedMedicationDispensedDateMedication dispensed dateDispensedQuantityQuantity dispensedDispensedDaysSupplyMedication supply (days)DispenseStatusDispense statusProcedureCountProcedure countProcedureCodeProcedure codeProcedureDateProcedure dateProcedureOutcomeProcedure outcomePerformingStaffNamePerforming staff nameProcedureFacilityNameProcedure facility nameReferralCountReferral countReferralReasonReferral reasonReferralDateReferral dateReferralOutcomeReferral outcomeReferralFromFacilityReferring facilityReferralToFacilityReceiving facilityAllergyCountAllergy countAllergyCodeAllergy codeReactionTypeReaction typeAllergySeverityAllergy severityRiskFactorCountRisk factor countRiskFactorCodeRisk factor codeRiskFactorSeverityRisk factor severityImmunizationCountImmunization countVaccineNameVaccineDoseNumberVaccine dose numberAdministeredDateAdministered dateImmunizationCompletedImmunization completedMaternityCountMaternity countGestationalAgeWeeksGestational age (weeks)ExpectedDeliveryDateExpected delivery dateDeliveryDateDelivery dateDeliveryModeDelivery methodMaternityOutcomeMaternity outcomeHealthClaimCountHealth claim countHealthClaimServiceTypeHealth claim serviceHealthClaimAmountHealth claim amountHealthClaimStatusHealth claim statusCoverageIdCoverage referenceCoverageAcquisitionTypeHow coverage was obtainedCoverageIsPrimaryPrimary coverageCoverageStatusCoverage statusInsClaimCountInsurance claim countInsClaimAmountInsurance amount claimedInsClaimApprovedAmountInsurance amount approvedInsClaimPaidAmountInsurance amount paidInsClaimStatusInsurance claim statusInsClaimFraudFlagInsurance fraud flagDiseaseStateCountDisease state countDiseaseStateCodeDisease state codeDiseaseStateDateDisease state dateDiseaseStateICD10CodeDisease state icd-10 codeCarePlanCountCare plan countCarePlanICD10CodeCare plan icd-10 codeCarePlanStatusCare plan statusCarePlanStartDateCare plan start dateCarePlanEndDateCare plan end dateCarePlanGoalDescriptionCare plan goalCarePlanGoalTargetDateCare plan goal target dateCarePlanGoalAchievementStatusCare goal progressCareTeamStatusCare team statusCareTeamMemberCountCare team member countCareTeamMemberRoleCare team roleCareTeamMemberStaffCategoryCare team member staff categoryImagingStudyCountImaging study countImagingStudyCodeImaging study codeImagingOrderedDateImaging ordered dateImagingPerformedDateImaging performed dateImagingSourceICD10CodeImaging-related diagnosis codeImagingFindingImaging findingImagingIsAbnormalImaging flagged abnormalImagingReportedDateImaging reported datePatientDeviceCountPatient device countDeviceCodeDevice codeDeviceStartDateDevice start dateDeviceEndDateDevice end dateDeviceStatusDevice statusSymptomCountSymptom countSymptomCodeSymptom codeSymptomOnsetDateSymptom onset dateSymptomSeveritySymptom severitySymptomResolvedDateSymptom resolved dateSpecimenCountSpecimen countSpecimenTypeSpecimen typeSpecimenCollectionDateSpecimen collection dateDiagnosticReportCountDiagnostic report countDiagnosticReportCategoryDiagnostic report categoryDiagnosticReportIssuedDateDiagnostic report issued dateDiagnosticReportConclusionDiagnostic conclusionDiagnosticReportStatusDiagnostic report statusInspect the published definitions and release context.
Download the same public synthetic examples used in this Health preview. Use them to inspect structure, test research workflows, prototype analytics or evaluate grounded narrative behavior.
Structured encounter details, readable narratives, claim evidence and grounding summaries from the technology preview above.
A spreadsheet- and notebook-ready sample for inspecting synthetic health records and testing analysis or research workflows.
Continue into the public data explorer when you want to inspect the wider Health domain without downloading a file.
Need the release evidence instead? Certification and realism results remain available in the dedicated evidence views.
Inspect the published definitions and release context.
| Domain or context | Relationship and published scope |
| Demographics | Patient or resident identity, lifespan, sex and ward provide care context. Dated visits must respect the resident lifespan. |
| Facilities and geography | Visits carry facility and area context where supplied; the same resident can have repeated visits. |
| Business | Facility-to-business context is optional, not an identity link on every care record. |
| Insurance | Care eligibility and claims can be analysed alongside health events; the public guide does not expose every physical linkage. |
| Transport | Mobility incidents can be compared with injury and diagnosis context. This does not assert a direct trip-to-visit join. |
| Water | The documented area health-profile field is nullable and is not populated by a Water-domain generation model in the cited guide. |
Inspect the published definitions and release context.
Connections follow the published domain scope. Optional, contextual and planned relationships retain their stated limits below.
| Domain or context | Relationship and published scope |
| Demographics | Patient or resident identity, lifespan, sex and ward provide care context. Dated visits must respect the resident lifespan. |
| Facilities and geography | Visits carry facility and area context where supplied; the same resident can have repeated visits. |
| Business | Facility-to-business context is optional, not an identity link on every care record. |
| Insurance | Care eligibility and claims can be analysed alongside health events; the public guide does not expose every physical linkage. |
| Transport | Mobility incidents can be compared with injury and diagnosis context. This does not assert a direct trip-to-visit join. |
| Water | The documented area health-profile field is nullable and is not populated by a Water-domain generation model in the cited guide. |
Striped Donkey V5.89 - 7 September 2026
Counts, prices and “live/today” certification statements reflect this dated edition. They are not a current rerun or offer. The current scope, known limits and accepted quote take priority.
Early histories rely on sparse, sometimes broader geographic evidence. Visits sample eligible citizens. Eligibility coverage and channel balance remain calibration gaps; diagnoses may use current geography. Co-occurring conditions do not establish clinical relationships unless explicitly modeled. Records are synthetic.
Read the source limits →Explore the entities and states represented by this domain.
FCTE Health represents the health conditions, disease environment, healthcare infrastructure and utilization patterns needed to model healthcare within the wider city.
Health characteristics and risk patterns tied to demographic and geographic context — ward-level socioeconomic health profiles, blood group, chronic condition registries.
Disease definitions, ICD-10 diagnoses, prevalence and temporal behavior — including disease-specific weighting that changes by era and ward.
Hospitals, clinics and other modeled points of care — facility level, ownership, bed capacity and clinical staffing.
Synthetic utilization generated against citizens and healthcare infrastructure — OPD, IPD, emergency, maternity and immunization encounters.
Documented disease events that alter health conditions and healthcare demand during affected periods — 37 real, cited events across Nairobi.
Relationships between citizens, geography, healthcare availability and coverage — including insurance/eligibility channel mix.
Specimens, lab results, diagnostic reports and imaging studies tied to each visit through a real order → result chain.
Care plans, care teams and disease-state transitions tracked as a citizen's condition evolves over time.
Medication dispensing events, modeled as distinct from the prescription order that triggered them.
Patient-reported symptoms and medical device assignments connected to diagnosis and care context.
Synthetic, not clinical: FCTE Health does not reproduce real patient records, diagnoses or medical histories. It generates statistically grounded synthetic health relationships from aggregate evidence and documented modeling rules.
Published release reference · These recorded checks are not a current rerun.
Inspect the published definitions and release context.
Health is not a single status field attached to a citizen — it moves through the same lifecycle stages every other domain does.
Health events remain temporally constrained by the citizen's demographic history — healthcare activity cannot occur before the citizen exists or after applicable lifecycle boundaries. Four certification checks enforce this directly: certification check (registration ≥ birth), certification check (visit ≥ birth), certification check (visit ≥ registration) and certification check (visit ≤ death) — all four caught real, large-scale violations (up to ~72% of rows) before being fixed, and all four pass in the published check results.
A related but distinct boundary sits at the other end of the timeline: a record that was valid when generated but drifts past the platform's own in-universe "today" (NowDate). A 2026-08-05 audit traced a four-link chain of exactly this — future-dated Patient cascading into Visit, Condition, Prescription and Claim — back to a single unbounded date window, fixed the generation model, and retroactively corrected 1,096,381 synthetic rows in the recorded release across Nairobi. Three new checks were added for this release: certification check , certification check , certification check . See the full audit →
Inspect the published definitions and release context.
Select a marker below to see the underlying evidence.
37 documented events shown as 4 markers per city above — the full calendar (83 year-weighted rows, including polio, HIV, typhoid, H1N1, TB and smallpox eras) is available via the source catalogue.
Explore Historical Health Events →
Inspect the published definitions and release context.
Historical health events alter population-level enrollment and diagnosis tendencies during documented windows. Certification verifies directional historical response at release level; exact coefficients, probability adjustments and internal methods are intentionally withheld.
Historical health events alter population-level enrollment and diagnosis tendencies during documented windows. Certification verifies directional historical response at release level; exact coefficients, probability adjustments and internal methods are intentionally withheld.
The event modifies generated healthcare utilization according to documented FCTE rules — it does not assert an exact real-world causal visit count.
Review the documented generation rules and assumptions.
Health generation follows a controlled clinical lifecycle from population and geography through facility access, patient context, visits, diagnoses and downstream care records. Exact phase ordering, per-condition generation models, probabilities and orchestration are not published.
Directly supported by health statistics, surveillance or published evidence — e.g. WHO Disease Outbreak News, NCDC situation reports.
Calculated from observed health evidence — e.g. living-population baselines from Citizen/Death cohort data.
Disease burden, care access, outbreak timing and population-health distributions are calibrated to cited health evidence and validated at release level. Exact weights and thresholds remain controlled.
Individual synthetic assignments are generated under controlled domain rules. Exact sampling, assignment order and parameterization are not published.
View Health Generation Methodology →
Surveys, public-health reports and demographic health statistics.
Surveillance reports, outbreak records and epidemiological publications.
Published healthcare activity and service-use evidence where available.
Health facility, infrastructure and geographic sources.
Official and peer-reviewed evidence for documented outbreaks and health shocks.
Open Health Source Catalogue →
Inspect the published definitions and release context.
Choose a synthetic Nairobi encounter. The narrative is assembled only from facts present in the encounter or from explicitly declared derivations. Select a narrative line to see why it is there.
The underlying encounter contains vital signs but no recorded diagnosis, medication, procedure, laboratory result or referral. FCTE does not invent missing clinical facts.
GROUNDED claims come directly from the synthetic encounter. DERIVED claims use declared, reproducible transformations of recorded values. This preview does not add speculative clinical content.
Grounded narratives can also surface semantic inconsistencies that are difficult to notice when records are reviewed only as rows and fields.
| Demo | Synthetic resident | Encounter | Date | Care facility | Clinical record | Grounded narrative | Claims | Grounding | Open |
Early histories rely on sparse, sometimes broader geographic evidence. Visits sample eligible citizens. Eligibility coverage and channel balance remain calibration gaps; diagnoses may use current geography. Co-occurring conditions do not establish clinical relationships unless explicitly modeled. Records are synthetic.
Early histories rely on sparse, sometimes broader geographic evidence. Visits sample eligible citizens. Eligibility coverage and channel balance remain calibration gaps; diagnoses may use current geography. Co-occurring conditions do not establish clinical relationships unless explicitly modeled. Records are synthetic.
No synthetic citizen corresponds to a real person, and generated health histories should not be interpreted as reconstructed medical records.
Older health evidence is substantially less granular for some diseases, periods and geographies. Earlier decades are reconstructed from dated public-health reports and broader national or regional evidence where city-specific observations are unavailable.
Some historical disease counts and health-system indicators are available only at Kenya-wide or broader geographic resolution. Nairobi values derived from those sources are calibrated city estimates and are labeled as such rather than presented as direct city observations.
Unless explicitly modeled via DiseaseRelationship, FCTE does not imply clinical relationship, comorbidity or disease progression merely because multiple conditions occur within the same synthetic population.
Informal, unreported and historically undocumented healthcare use is not directly observable. Visit generation therefore samples a controlled share of the eligible population rather than pretending to represent a universal registry (certification check). The sampling rate is a disclosed calibration choice and remains subject to realism review.
Some longitudinal diagnosis context uses current rather than period-specific geography. The measured impact is small and remains a disclosed model boundary; the public site does not publish the exact affected-record count or internal weighting method.
The current Patient population and eligibility-channel mix are generated through the Health eligibility model and remain calibration targets rather than fixed empirical truths. These are tracked realism gaps, not referential-integrity defects: every generated Patient row remains internally consistent with its linked citizen and health records.
View All Health Limitations →
Published release reference · These recorded checks are not a current rerun.
Inspect the published definitions and release context.
A transparent record of what changed, what was verified, and how the synthetic health system improved over time.
Nairobi Health data refresh — 21/21 structural checks now pass (closed the last disclosed visit-dating regression) and two independently-discovered defects were fixed at the source: a TB diagnostic flow and a transport-accident diagnosis flow could each attach a diagnosis to a maternal/child-health visit outside its clinical scope, confirmed in the published source and closed with 0 remaining violations. Also closed: specimen/lab-result linking, TB confirmatory-result date ordering, and a disease-state transition date-ordering edge case.
Traced and corrected a future-dating issue affecting patient registration, visits, conditions, prescriptions and claims — 1,096,381 records corrected across Nairobi. Three new checks added to catch this permanently. Full audit →
Removed unnecessary performance restrictions from record generation, Nairobi, with no service disruption.
Performance improvement to claims processing (the largest single cost in data generation, cut by roughly two-thirds) and a diagnosis-calculation restructure, independently verified against 5,000 real visits with zero discrepancies.
Closed a performance issue that had stalled data generation for nearly 15 hours, by adding missing indexes across four clinical records.
Fixed a patient-record generation crash affecting citizens with multiple household history entries; verified against the real failing case.
Fixed an error-handling gap that had been masking the true cause of a release run-generation failure behind a generic error message.
Standardized health-domain deployment release processes for consistency across cities.
Platform-wide scheduling reorganization to reduce cross-domain generation risk.
Added enrollment-year weighting to patient eligibility, driven by real population and historical-event data, per city and year.
Choose the records, dates and connected domains you need. Final availability, delivery scope and licensing are agreed with your quote.
Read the terms for public previews and commercial orders before requesting your extract.
Published release reference · These recorded checks are not a current rerun.
Explore the supplied synthetic example and its source references.
A real, documented event in the historical health calendar — intensity multiplier 3.00, the highest of any entry in the table, sourced to the global pandemic period.
Male, DOB 1991-05-01 — a real Patient record eligible during the outbreak window.
A confirmed U07.1 (COVID-19) diagnosis on a published synthetic Visit row, dated inside the documented outbreak period.
The diagnosis, visit and patient records above are included in the published Nairobi release — Health generation certified 21/21 structural PASS.
Available as Standalone Domain · Multi-Domain Bundle · Full City Twin™