Abstract
The impact and probability of healthcare software risks are widely discussed in software risk management. The identification of healthcare software risk factor will not be useful without measuring its impact and probability. The impact filed determines the damage level of the risk factors if it appears, while the probability determines how probable is the existence of that risk. The risks of having high probability and higher impact levels have to be addressed urgently. The orientation of the risks takes place in response to unbalanced resource allocation. Establishing an association among the project factors and risk factors helps in gaining more effective control of the resource allocation to the healthcare application development. This paper identifies the conceptual and numerical association between the project factors and risk factors by conducting, a mixed-method research analysis to optimize the resource allocation and reduce (eliminate) the software risks in large scale healthcare applications. The resultant associations between the project factors and risk factors are categorized as weak or strong based on the resultant data of this study and can be used as a guideline document for developing the large scale healthcare systems.