This study explores the electrocoagulation (EC) process for removing six pharmaceutical compounds (PCs) from wastewater. The compounds investigated include azithromycin, diazinon, ibuprofen, ketoconazole, sertraline, and diclofenac. We employed Response Surface Methodology (RSM), specifically a Box-Behnken design, to systematically analyze how temperature, pH, and current density affect the removal efficiency of these compounds. Experimental results indicated that run 11, under optimal conditions of 20°C, a pH of 6.0, and a current density of 29.40 A/m², achieved the highest removal efficiencies. Specifically, the removal rates were 65.27% for Azithromycin and 70.09% for diazinon. Statistical analysis using ANOVA showed that current density has a positive influence on removal efficiency, while both temperature and pH have negative impacts. We also explored the interactions among the parameters, revealing significant insights into the operational dynamics of the EC process.