THE GOOD NEWS IS THAT THE GLOBAL MALARIA COMMUNITY HAS ALREADY BEEN TRIALLING AND UTILISING AI TO DETECT AND TREAT MALARIA IN AFFECTED REGIONS AND DRIVE INNOVATION TO ACCELERATE PROGRESS . by eliminating the need for manual , errorprone data entry , offering a faster and more affordable solution . In 2022 , a Benin study led by MCD Global Health found that ScanForm allowed researchers to collect 30 % more malaria data during antenatal care ( ANC ) visits than tablet-based data entry .
R E G I O N A L C H E C K - U P
to automatically calculate custom summary statistics and visual analytics within seconds .
Since 2018 , ScanForm has grown exponentially , with over 20 million patient records processed in sub-Saharan Africa , including national-scale deployment in Malawi for HIV testing .
The real-time data that ScanForm provides enables government and healthcare officials to rapidly identify potential malaria outbreaks and implement strategies to prevent the spread of the disease .
The approach also has the potential to save health systems both money and time
THE GOOD NEWS IS THAT THE GLOBAL MALARIA COMMUNITY HAS ALREADY BEEN TRIALLING AND UTILISING AI TO DETECT AND TREAT MALARIA IN AFFECTED REGIONS AND DRIVE INNOVATION TO ACCELERATE PROGRESS . by eliminating the need for manual , errorprone data entry , offering a faster and more affordable solution . In 2022 , a Benin study led by MCD Global Health found that ScanForm allowed researchers to collect 30 % more malaria data during antenatal care ( ANC ) visits than tablet-based data entry .
In Kenya , malaria testing and treatment indicators captured using ScanForm were first collected from ANC registers in 2018 . This has allowed the Ministry of Health to compile data on malaria prevalence amongst pregnant mothers to predict the prevalence of malaria in the general population . The Ministry of Health has since applied the technology for other activities , such as clinical trials , malaria surveillance projects and performance monitoring of vector control activities .
Scaling up AI solutions to end malaria
Today , 95 % of the global malaria burden is concentrated in sub-Saharan Africa – a region where health systems are vulnerable and resources are stretched . In the face of growing threats and funding shortfalls , AI can be a powerful solution to deliver more efficient , targeted , and impactful interventions to those who need them most . �
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