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Introduction Myocardial Infarction (MI) is a type of heart attack that is caused by a reduction or cessation of blood supply to a specific area of the heart, resulting in myocardial cell necrosis. A blood clot in the epicardial artery, which supplies that area of the heart muscle, is usually the cause. Reduced coronary blood flow is the cause of acute myocardial infarction, as the availability of oxygen supply is insufficient to meet the tissue demand for oxygen, hence myocardial ischemia occurs. According to American Heart Association, the target treatment goal of Thrombolysis is ?30 minutes and Primary Coronary Intervention (PCI) is ?90 mins for a patient that arrives in a hospital with PCI facilities or of ?120 mins for patients reaching at a hospital without PCI capacity according to account for transfer time. An Algorithm is a diagrammatic representation with diverging pathways that leads to a desired end that is a schematic representation of the decision-making process. Optimal use of Algorithms aids the Practitioners and offers a step-by-step, user-friendly methodology that improves healthcare personnel' capacity to make informed clinical decisions for patients with Myocardial Infarction based on the best available resources. Methods: The Reperfusion Algorithm was developed using a Mixed (quantitative and qualitative) research strategy in accordance with Delphi technique. 15 Delphi experts were chosen using a non-probability convenient sampling method and based on the study's selection criteria. In three rounds, 15 Delphi experts were polled for their opinions. An open-ended questionnaire was provided to Delphi experts in round one. In round two, an inclusion-exclusion checklist was created based on the experts' recommendations and circulated to the Delphi experts. Finally, a correlation was found between rounds 2 and 3 to indicate major differences in viewpoints, and Delphi experts distributed a five-point Likert scale to determine the level of agreement. Results: Kendall's tau-u formula was used to compare expert opinions, and it revealed that there is no significant difference in expert opinion in rounds 2 and 3 (P >0.05). Content Validity Index of Experts and Content Validity Index of Inclusion items were utilized in this study to validate the tool Content Validity Index of Experts and Content Validity Index of Inclusion items. The Content Validity Index for inclusion items was 0.958, indicating that the instrument is highly valid overall. The inclusion item was eliminated if it had a score of less than 0.78. The final draught of the Reperfusion Algorithm was pilot tested, and the tool's dependability was 0.932, indicating that it is quite reliable. Conclusion: The study comes to an end with the construction of a final time-specific reperfusion algorithm, which was constructed and validated using Delphi techniques. The validated reperfusion algorithm was highly reliable for patients affected with ST -segment elevated Myocardial infarction.