Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P18 · Implementation blueprint · Mappls Location Analytics Studio
Health Network & Service Accessibility GIS
Facility, beneficiary, disease/service and travel-access data are not consistently spatialised, limiting network planning and citizen access.
01 · Target operating outcome
Define the change before choosing the technology
Which beneficiaries or geographies remain underserved once travel time—not just district counts—is measured?
Business case: better empanelment/resource placement, reduced beneficiary travel/friction, improved outreach and lower location-data cleansing effort.
Target
Geocode match rate; model acceptance; actionable gap list; privacy/security review; production integration plan.
02 · Solution architecture
One connected flow from source data to operational action
Facility/beneficiary geocoding, catchment and accessibility analytics, network-gap heatmaps, routing, dashboards, map APIs and advisory use cases. We translate health records into service-access decisions using accurate location, travel time and population context.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Data workspace · Catchments · Models · Scenarios · Decision board
Decision and outcome
better empanelment/resource placement, reduced beneficiary travel/friction, improved outreach and lower location-data cleansing effort.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
NHA/State Health IT Head
Sponsor / owner
Mission Director NHM
Manager / analyst
Hospital Network Strategy Head
Manager / analyst
Health Secretary
Manager / analyst
NHA/Agency CEO
Operator / specialist
Network CEO
Operator / specialist
Data/IT
Operator / specialist
Public Health Analytics
Operator / specialist
Claims/Fraud
Operator / specialist
GIS/API Engineering
The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.
04 · Data and integration
Connect the minimum information needed to make the workflow real
Location foundation
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Enterprise context
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
Integration pattern
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Security and control
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
Recommended Mappls building blocks
ClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsStandard 2D Map & Road Data
Road network, attributes, administrative boundaries and cartography
Product detailsGeocoding & Reverse Geocoding
Address-to-coordinate and coordinate-to-address
Product detailsWorkMate
Field task, attendance, routing, forms, proof and supervision
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
6–8 week geography pilot with geocoding, catchments, gap heatmaps, routing and dashboard/API.
- Confirm data, geography, users and workflow: Facility/beneficiary data quality? Accessibility standards? Planning cycles? Claims/fraud use cases? Public vs internal outputs? Privacy controls?
- Configure Mappls Location Analytics Studio for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Geocode match rate; model acceptance; actionable gap list; privacy/security review; production integration plan.
- Package production scope and commercial model: Data/API subscription + analytics/platform + integration/advisory + AMC.
06 · Rollout and operating model
Move from proof to governed adoption
Week 0–2
Discover
Baseline, data, stakeholders, security and architecture
Week 3–6
Configure
Data connection, role workflows, rules and dashboards
Week 7–10
Prove
Live users, measurement, change support and decision review
Production
Scale
Phased geographies, integrations, service model and continuous improvement