Lamese is Ghana's National Health Intelligence Management System (NHIMS) — an integrated health intelligence ecosystem engineered for the African operating environment, strengthening primary healthcare delivery, community health management, public health surveillance and evidence-based decision-making from community level to national scale.
Lamese — the National Health Intelligence Management System — is engineered for the African operating environment, built to work in the conditions that define healthcare delivery across the continent.
Africa's health systems operate under conditions that off-the-shelf platforms were never designed for — intermittent connectivity, mobile-first users, constrained infrastructure, and the need for genuine data sovereignty. Lamese is built from the ground up for these realities.
Starting in Ghana, Lamese addresses the full health intelligence stack: population and household registration, community health worker workflows, facility clinical records, public health surveillance, programme performance, and national analytics — in one unified architecture that scales from a CHPS compound to a national ministry. Lamese CHIP, the community health sub-platform, spans 17 domains and 25 business processes. The full NHIMS covers 40 modules across 5 architecture layers.
The platform is designed to serve governments, health directorates, development partners, public health programmes and healthcare professionals who need systems that are reliable, locally owned, and built to endure.
Health systems across Africa face compounding structural challenges that undermine care delivery, programme effectiveness and long-term population health outcomes.
Health data exists in disconnected systems, limiting continuity of care, cross-programme coordination and evidence-based planning at every level of the health system.
Health systems remain focused on treating illness rather than preventing it, lacking tools to identify at-risk populations, monitor trends and intervene proactively.
Decision-makers lack real-time visibility into population health trends, service coverage, programme performance and resource utilisation across health systems.
Healthcare systems generate enormous data volumes but struggle to convert them into actionable intelligence for policy, resource allocation and programme design.
We envision a future where every community health worker in Africa has the tools to identify risk, every health director has real-time visibility into performance, and every government has the intelligence to plan with precision — where data sovereignty is non-negotiable and health decisions are made on evidence, not estimates.
Lamese is engineered as a layered ecosystem where each stratum addresses a distinct domain of health system function — from community-level care to national governance and intelligence.
Each product within the Lamese NHIMS addresses a distinct layer of health system function — sharing a common Ghana Card-anchored identity layer, consent engine, interoperability core and Lamese Intelligence infrastructure.
A 17-domain platform covering the full primary healthcare continuum — population and household registration, MNCAH-CI (Maternal, Newborn, Child, Adolescent and Community Health Intelligence), immunisation, nutrition, disease surveillance, NCD screening, school health, cold chain, referral management, outreach planning and community surveillance. Built for CHPS compounds, health centres and district health directorates. First deployed in the Volta Region, Ghana.
Integrated clinical, administrative and operational health information management for facilities across all levels of care — health centres, polyclinics, district hospitals and the directorates that oversee them. NHIMS connects facility-level data with district performance management and national health intelligence. 40 modules across 5 layers: Identity & Governance, Clinical, Operations, Interoperability, and Analytics.
Transforming health data into actionable intelligence through advanced analytics, predictive models, disease surveillance systems and real-time decision-support dashboards for all levels of governance.
Supporting health sector performance management, programme monitoring, universal health coverage measurement, SDG reporting and development partner accountability frameworks at national scale.
Africa carries a disproportionate share of the global disease burden while managing some of the world's most complex health system challenges. Lamese is designed specifically to accelerate Universal Health Coverage in these conditions — not adapted from systems built elsewhere. In Ghana, Lamese CHIP is positioned as the national digital backbone for the Free Primary Health Care (FPHC) policy launched April 2026.
Ensuring essential health services reach every individual, household and community regardless of location or socioeconomic status.
Identifying and closing gaps in health service access and outcomes across geographic, demographic and socioeconomic groups.
Strengthening service delivery at community, primary, secondary and tertiary levels through coordinated digital health infrastructure.
Supporting clinical governance, standard of care adherence, outcome monitoring and continuous improvement across all facilities.
Enabling health financing intelligence, claims management and protection of households from catastrophic health expenditure.
Lamese provides national governments with the digital health infrastructure required to govern population health, drive policy decisions, manage health system performance and fulfil international reporting obligations.
Lamese empowers hospitals, clinics and integrated health systems with the clinical and operational intelligence tools needed to deliver high-quality, efficient and coordinated care.
Lamese provides programme managers with the specialised tools needed to design, implement, monitor and evaluate public health interventions across populations and geographies.
Lamese offers development organisations, bilateral donors and global health initiatives a robust, standards-aligned digital health infrastructure to anchor their investment and programming.
Health data belongs to the people and institutions that generate it — not to vendors, servers abroad, or third parties. Lamese is built on the principle that data sovereignty is a prerequisite, not a feature. Every architecture decision reflects this.
Privacy considerations are embedded into every layer of the platform architecture, not added as an afterthought.
Granular access management ensuring every user sees only the data their role and organisation authorises.
Every data access, modification and system action is logged and auditable for compliance and accountability.
Health data encrypted in transit and at rest using TLS 1.3 and AES-256 — current international gold standards.
Built on HL7 FHIR R4, OpenHIE and WHO digital health standards to enable safe, controlled data exchange.
Designed to align with the Ghana Data Protection Act (Act 843), national health data regulations, and GDPR principles.
Patient data stays within the jurisdiction of the health system that owns it. No cloud-first mandates. Deployable on national infrastructure with full local data control.
Lamese is being built incrementally, with each phase delivering tangible value while laying the foundation for the next horizon of capability.
Lamese is not only a technology platform. It is a research and innovation ecosystem dedicated to advancing digital health, public health intelligence, health economics and evidence-based healthcare transformation.
Advancing evidence on the deployment, adoption and impact of digital health interventions in low and middle-income health systems.
Developing methodologies for population-level health surveillance, risk stratification and predictive health modelling at national scale.
Generating evidence on the economics of digital health transformation, UHC financing and the return on investment in health information infrastructure.
Advancing the science of health data intelligence — building and validating predictive models for maternal risk, malnutrition trajectory, outbreak detection, NCD risk and vaccine defaulter prediction across the African health operating environment.
Investigating optimal architectures for health information systems that scale from community level to national programmes and regional integration.
Collaborating with universities, research institutions, development organisations and global health agencies to advance shared health intelligence goals.
We welcome partnerships with governments, healthcare institutions, development organisations, research institutions, technology partners and public health professionals committed to strengthening health systems through innovation and evidence.