Incorporates telemetry timeseries data from A2EI and nLine, DHIS2 data from Division Provincial de la Santé Nord Kivu, and financial records aggregated by RCHA and the research implementation team.
This Overview tab explains why the pilot exists before users enter the detailed operational views. It frames health facility electrification as a reliability, maintenance, payment, and trust problem rather than a simple equipment-installation problem.
Facilities may be connected to a grid, micro-hydro source, solar system, or generator and still face outages, unstable voltage, insufficient capacity, and poor maintenance. The dashboard therefore starts from service reliability for critical loads, not from whether a facility is simply marked electrified.
The intervention combined modular solar PV and battery systems, circuit-level rewiring, selected biomedical equipment, remote telemetry, local maintenance coordination, and facility service payments through an Energy-as-a-Service model.
Power quality, outages, energy consumption, DHIS2 reporting, maintenance events, facility context, and repayment records are visible together. This makes the platform a trust layer for payment, subsidy, and future results-based financing decisions.
Six intervention facilities are monitored in this platform. Six matched controls selected for feasibility and future longitudinal evaluation are evaluated in an accompanying manuscript.
Period data backfills on-going.
Monitored uptime generally exceeded 95% on protected critical circuits.
Recorded remittances received within 30 days.
The key design principle is that payment triggers should not be a black box. Users need to see what was measured, what was inferred, what is missing, and which party is expected to act on the evidence.
High-frequency telemetry records uptime, voltage and frequency quality, outage duration, photovoltaic generation, telemetry coverage, and critical-circuit energy use.
Facility type, ward mix, critical loads, oxygen, sterilization, cold chain, maternity, surgery, emergency care, and DHIS2 reporting quality explain why reliability matters.
Evidence can be matched to monthly service commitments, maintenance obligations, facility or district payment routes, subsidy shares, results-based financing rules, and digital monitoring, reporting, and verification claims.
The dashboard should preserve the status of each claim: verified, estimated, missing, excluded because of conflict or telecom disruption, or requiring reconciliation.
GridWatch and HOPmeter data capture availability, quality, consumption, sensor coverage, and abnormal behavior at high temporal resolution.
Facility-level admissions and deaths are available across treatment and control sites, with 94.4% facility-month reporting completeness overall initial 18 month evaluation.
Facility remittances are digitized in a transaction-level ledger with due dates, receipt dates, timing, revenue, and balance.
Deployment milestones, equipment inventories, maintenance visits, sensor replacements, conflict disruptions, and telecom outages contextualize the data.
Summary of first 18 months of implementation.
| Metric | Value | Dashboard implication |
|---|---|---|
| Payment revenue | $13,500 | Facilities demonstrated sustained participation in the service-payment model. |
| Remittances | 130 | Transactions can support payment-timing and arrears views. |
| Within 30 days | 96.2% | Late does not always mean failed; timing logic should be visible. |
| Ending cash balance | $7,011.05 | The ledger can show whether O&M revenue is covering observed outflows. |
Evidence is governed, interpreted, and made legible before it becomes the basis for payments, subsidy claims, or donor reporting.
Facilities, operators, researchers, funders, and public-sector users help define what counts as credible and useful evidence.
Better evidence can reduce perceived risk, target subsidy, support maintenance, and prevent value from concentrating only around installation and procurement.
Installed telemetry, source-specific latest dates, and reporting status by facility. A2EI and nLine update on different schedules, so each card shows both the combined site-latest signal and each feed's own latest published signal.
Combined A2EI and nLine sensor visibility, latest inspection date, and reconciliation flags.
Combined HOPmeter and GridWatch reporting coverage.
Private mode uses named operational facilities.
Payment stream and live telemetry inspection.
GridWatch supply quality followed by Prospect demand and consumption.
Inflows and outflows over the selected payment period.
Private mode reveals facility names, serials, and field notes.
Mockup combining facility context, intervention specs, monitoring coverage, and provenance-sorted media.
Project origins, implementation context, partner roles, and public learning record.
What this starter uses and what private mode includes.