Clinical decision support systems (CDSS) are used to improve clinical and service outcomes, yet evidence from low- and middle-income countries (LMICs) is dispersed. This protocol outlines methods to quantify the impact of CDSS on patient and healthcare delivery outcomes in LMICs.

We will include comparative quantitative designs (randomised trials, controlled before–after, interrupted time series, comparative cohorts) evaluating CDSS in World Bank-defined LMICs. Standalone qualitative studies are excluded; mixed-methods studies are eligible only if they report comparative quantitative outcomes, for which we will extract the quantitative component. Searches (from inception to 30 September 2024) will cover MEDLINE, Embase, CINAHL, CENTRAL, Web of Science, Global Health, Scopus, IEEE Xplore, LILACS, African Index Medicus and IndMED, plus grey sources. Screening and extraction will be performed in duplicate. Risk of bias will be assessed with Risk of Bias 2 (randomised trials) and Risk Of Bias In Non-randomised Studies—of Interventions (ROBINS-I) (non-randomised). Random-effects meta-analysis will be performed where outcomes are conceptually/statistically comparable; otherwise, a structured narrative synthesis will be presented. Heterogeneity will be explored using I²/² and a priori subgroups/meta-regression (condition area, care level, CDSS type, readiness proxies, study design).

This review uses published data and does not require ethics approval. Results will be disseminated via peer-reviewed publication, conference presentations and LMIC-oriented policy briefs; extraction templates and analysis code will be shared openly on publication.

CRD42024599329.