Osteoporosis is highly prevalent and a costly disease predicted to affect 1,555 million worldwide by 2050, and the total cost of osteoporotic fractures worldwide could reach US$131 billion by 2025. These statistics clearly affirm the significant economic burden of osteoporotic fractures to the community, and the need for the development of improved fracture treatments. Studies over the last decade reveal that, even though osteoporosis may not necessarily lead to non-union, it is associated with delayed fracture healing due to impaired mecho-regulation and angiogenesis in osteoporotic condition. Despite the advances in locking compression plate (LCP) technology, the operative treatment in osteoporotic fractures remains a challenge for an orthopaedic surgeon, often with unpredictable outcomes. Therefore, it becomes necessary to bridge the ‘information gap’ between osteoporosis and its effect on fracture healing, and so enables healing progression prediction under different fracture geometries and fixation configurations. By using a computational model of fracture healing, this paper demonstrates that fracture healing can be significantly delayed due to impaired mechano-regulation as a result of osteoporosis, and the impact of osteoporosis on fracture healing can be mitigated by adjusting the configuration of the LCP system to allow a certain degree of interfragmentary movement (IFM) without compromising overall fixation stability.