Background: Understanding each of the factors affecting the length of hospitalization especially in surgery wards can play a major role in planning for the optimal use of hospital resources. This study aims to determine factors affecting the length of stay (LOS) in a surgical ward and then provide technology-based solutions .Methods: In this cross-sectional study, 310 records were selected by systematic random sampling from hospitalized patients in surgery ward of a general teaching hospital in Bandar Abbas, situated in sought of Iran. In order to determine the association of 26 variables (demographic, clinical, and non-clinical) with LOS, analytical and descriptive statistics were used. Then, the researchers reviewed relevant literature in PubMed, Scopus, and Google Scholar to introduce solutions based on health information technology (HIT) toward LOS optimization.Results: Mean and median of patients’ LOS in surgery ward were 3.30±3.71 and 2 days respectively. According to multivariate regression model, factors that exerted higher influence on length of stay includes number of para-clinical tests, surgeries, and consultation as well as type of referral and months of admission(p<0.05). Regarding HIT-based intervention, eleven general categories of suggestions were provided. Based on the findings, more accessible technologies such as hospital information system, picture archiving and communication system, telemedicine especially tele-consultation or tele-visit as well as electronic consultation and discharge planning tools alongside smart dashboards for institutions like the center under study in order to expedite the process of diagnosis and treatment, then optimizing LOS seem appropriate. Conclusions: It is important to move toward optimized LOS though understanding and control influential factors; standardize LOS along with continuous monitoring of performance indicators may help to utilize hospital resources more efficiently. HIT-based interventions may support health care providers and administrators to manage patients` admission, hospitalization, transfer, and discharge processes more properly. Keywords: Index; length of Stay; Hospital; Health Information Technology; Surgery_ward