ABSTRACTS BACKGROUND- mHealth is the use of mobile phones, personal digital assistant, patient monitoring devices, and other wireless electronic devices for medical and public health purposes. It can address health related issues such as the rising prevalence of infectious or non-infectious diseases and the high cost of care. It is a well-established fact that usage of mHealth technology is possible only if health-care provider has a favorable behavioral intention regarding it. However, the health care providers’ intention to use mhealth were low and its factors were not studied well In Ethiopia. OBJECTIVES- To assess health care provider’s intention and its associated factors toward using mobile health in North-Gojjam zone, Amhara Region, Ethiopia 2025 G.C. METHODS- A cross-sectional study conducted from January 1 to February 30, 2025 among 924 health care providers in North Gojjam zone public health facilities. Self- administered structured questionnaire was used to collect data. The collected data were entered into Epi-Data version 4.6 and exported to SPSS version 26 and to AMOS (analysis of moment structure; version 23). Structural equation model (SEM) was used and it analyzed by analysis of moment structure (AMOS) version 23. Simple random sampling technique was used to select study participants. Median was used to measure the cut of point the intention to use mhealth. Standardized β coefficients were used to measure the association of dependent and independent variables, and 95% confidence intervals and P- values were used to evaluate statistical significance. Result: 891(96%) healthcare providers were complete the questionnaire in the study. The proportion of health care providers’ intention to use mhealth was 55.7%.(95 %CI 52.3%- 58.8%) According to the findings, performance expectancy (β = 0.26, 95% CI(0.22-0.3) p-value <0.001), effort expectancy (β = 0.24, 95% CI(0.174-0.31), p-value <0.001), social influence (β = 0.31, 95% CI(0.265-0.355), p-value <0.001), and facilitating condition (β = 0.14, 95% CI: (0.074–0.206), p-value =0.02) had a significant effect on the intention to use mhealth. The effect of social influence on the intention to use a mhealth was moderated by age ( p-value=0.007). However, the moderator gender was not affected the relationship between all constructs and behavioral intention to use mhealth. The Unified Theory of Acceptance and Use of Technology Model had good explanatory power 93.5%(R2=0.935) for health care providers’ behavioral intention to use mobile health services. ix Conclusion and recommendation: Generally, the overall intention of healthcare providers to use mhealth was moderate (55.7%). The effect of social influence on intention to use mhealth were moderated by age. Policymakers and programmers should improve healthcare provider’s capacity by motivating them and raising awareness by acting on factors related to their behavioral intention.