ScanForm has already been deployed across the HIV testing, treatment, and viral load cascade, at community and facility-level in multiple PEPFAR-supported countries in Sub-Saharan Africa.

ScanForm has been successfully used for ANC and EMTCT.

In Western Kenya, a scannable patient-carried Maternal Child Handbook was piloted, which longitudinally tracks a pregnancy and the first five years of the child’s life, and contains the equivalent of a dozen routine health registers spanning malaria, HIV, nutrition, and immunization. This pragmatic approach has the potential to yield 5-10 fold cost savings in pharmacovigilance research efforts when used at scale to link pregnancy exposure data (e.g. diseases, drugs, vaccines) to neonatal, infant, and child health.

Tracking commodities is essential for accountability of donor investments, and to avoid stock outs of key medications at sites. Current systems still do not meet needs.

One of the critical reasons is that current systems track supply but not consumption. ScanForm, given that it works at every site, automatically tracks consumption of HIV test kits, ART, or whatever supply is being used, by site, in near real-time. It is currently deployed for CAB-LA in Malawi, where it carefully tracks each dose. Because it tracks consumption, it automatically knows when supply is running low and can prompt alerts for re-supply. Additionally, this consumption data, when paired with supply-side data that actually captures records on paper, provides clear data on where supplies are, and where they are being lost.

The cornerstone of epidemic detection and control is for an epidemic threat to be detected and reported rapidly so that action can be taken. Current systems in every country leave massive gaps of sites and areas that are uncovered, because the systems deployed don’t work where infrastructure is poor. This gap means that epidemic threats can go unreported for a long time, as happened in West Africa in 2014, leading to billions of dollars in cost and catastrophic loss of life.

ScanForm works everywhere, leaving no gaps. Reporting is in near real-time. It also has automated AI-driven aberration detection, which means that even if a disease occurs only a small amount more commonly across a large number of sites (for example, a 20% increase in diarrhea at 30 sites), the AI can detect that anomaly, even when humans may miss it.

ScanForm has been used to support multiple clinical trials in Kenya, Benin, Burkina Faso and Niger. In regions where RCTs were executed, more accurate denominators were captured from scannable routine MOH tools and registers for maternal and child health (eg. antenatal care, postnatal care, MCH handbook, child welfare clinic), outpatient department and community health volunteers.

Status quo:

• Studies introduce a parallel one-off electronic system to select sites just for the duration of the clinical trial, introducing whiplash to already overburdened healthcare workers who don't want more brand new temporary systems to deal with.

• By repeatedly selecting the same electronically sophisticated facilities, studies unintentionally bias participation toward large urban centers and away from typical service settings.

Unique value proposition:

• Innovating routine systems for research: by digitizing every element at the point of capture, ScanForm strengthens routine tools for research-grade data capture. MOH registers already have extensive reach across the country, beyond select trial sites. To capture additional study-specific data, auxiliary tools can be paired with the routine tools.

  • Representative participation: using ScanForm allows anywhere in the country to be a potential treatment group regardless of infrastructure, with the whole country as the control group.

  • Baseline data: scannable routine health tools allow the capture of critical baseline information, including demographic health surveillance akin to the DHS.

  • Measurement of long-term outcomes: by strengthening routine MOH tools with ScanForm, the effects of any clinical trial intervention can still be measured many years afterwards.

• Time and cost savings: ScanForm delivers a unique, end‑to‑end data platform that automates analyses, enforces real‐time trial tracking, and embeds continuous data‐quality checks—eliminating cumbersome administrative workflows that accelerate study enrollment and outcome reporting. These efficiencies translate into significant savings and more strategic resource allocation.

  A common, paper‐first yet digitally harmonized approach ensures consistency of data collection and provides the MOH with actionable, standardized data to inform policy decisions and program improvements.

  • The PI of the IMPROVE-2 trial reported saving 9 months of time with ScanForm.

  • Using a scannable MCH handbook for pharmacovigilance can yield a 5-10x reduction in cost savings, compared to trying to stitch this data together across 12 different registers.

ScanForm has been used for school examinations, scholarship applications and student attendance tracking.

In Northern Nigeria, UNICEF used ScanForm to facilitate the rapid retrospective processing of millions of primary school attendance records from the 2021–2022 academic year in Sokoto, Kebbi, Zamfara, and Katsina States. As of June 2022, more than 5,500,000 distinct student attendances and over 386,000 student absences had been tabulated.

During 2023-2024, ScanForm ultimately captured more than 130,000,000 prospective student attendance records from 973 schools.