Acute myocardial infarction is a disease that has a high readmission rate. Discharge planning is the key to the quality of hospitalization related to patient's readiness for hospital discharge which can prevent readmission. Unfortunately, many reported that discharge planning was still not optimal because of the use of inappropriate methods. This research proposed a new discharge planning method, namely m-health discharge planning. The aim of this study was to prove the application of m-health discharge planning in optimizing hospital discharge readiness in patients with acute myocardial infarction. The research methods used were quasi-experimental with pre-test and post-test non-equivalent control group design with 15 respondents as the intervention group and 15 respondents as the control group. This research was conducted in a general hospital in Surakarta City, Indonesia. The application of m-health discharge planning was packaged in an Android-based application and carried out in stages starting from assessment, management, monitoring, and evaluation. Hospital discharge readiness was measured using the readiness of hospital discharge scale (RHDS) questionnaire. Data analysis was performed using the Wilcoxon test and the independent T-test. The results of this study indicate that there was an effect of the application of m-health discharge planning on the readiness of hospital discharge of acute myocardial infarction patients with a p-value of 0.000. The average value of hospital discharge readiness for m-health discharge planning patients was above the normal value, while in the control group it was below the normal value. The implementation of m-health discharge planning has proven to be able to optimize the hospital discharge of acute myocardial infarction patients. This intervention can be used as a new alternative in the implementation of discharge planning methods.