The past few years have witnessed a rapid advancement of mobile healthcare systems. However, in the mobile computing environment, the re- source fluctuations, stringent application requirements and user mobility have severely hindered the performance and reliability of the healthcare service de- livery. The current approaches to solve this resource supply and service demand mismatch problem either limit the adaptation to an isolated node or require sig- nificant user's involvement. Given the distributed processing paradigm of m- health system, we propose that a new adaptation approach could be dynamically redistributing processing tasks across distributed nodes. This PhD research ad- dresses two main issues to validate this approach: (1) computation of a suitable assignment of tasks at compile-time or run-time; and (2) dynamic distribution of tasks across the nodes according to this new assignment at run-time.