From my work experience, one example of a Decision Support System (DSS) is the malaria reporting platform. We used it to record malaria test results, treatments, follow-up care, and patient details through a provided app that synchronized with the national malaria database system. The system helped us keep track of cases in real time (or nearly real time) and could send notification if there was an unusual surge of cases in high-risk areas. It also reminded us about treatments in line with national guidelines, so patients received the right medicines and follow-up care.
From my experience, the system worked well. It made reporting faster and helped us, along with district and provincial health authorities, respond more quickly when cases increased. For example, in the case of an unusual surge of malaria Pfcases, we could respond with prompt treatment and environmental management measures such as Indoor Residual Spraying (IRS) and the distribution of Long-Lasting Insecticidal Nets (LLINs) within seven days, in line with national 1-3-7 strategy. It also saved time because we didn’t have to rely on paper-based forms, which often caused delays. Nevertheless, there were challenges. In some remote areas, internet access was weak, so field health workers could not always submit data on time, leading to delayed notification and responses for some cases.
There are a few factors that influenced the DSS implementation. Human factor such as Training in digital skills for field workers was very important, as not everyone was familiar with the technology. Organizational factor such as Leadership support was also crucial. When supervisors or team leaders encouraged the use of the system, field staff were more motivated to use it properly. Technical factor sucah as the design of the system played an important role. If it was simple and user-friendly, field workers found it much easier and more convenient to use.