In order to assist the patient efficiently, we develop a risk-aware planning framework which finds the best manipulation plan that minimizes the fall risk probability with minimum robot effort. We view the risk-aware planning problem from the perspective of probabilistic inference and solve it as a multi-objective optimization problem. For the fall risk objective, we use a linear combination of expected value and CVaR to minimize the overall risk of fall while avoiding even low probabilities of high fall risks.