Abstract: The present disclosure relates to the field of clinical care plan for patients. More particularly, the present disclosure relates to a method and system for determining plausibility of clinical care plan. The present disclosure checks for plausibility of the clinical care plan determining plausibility of each clinical action in the action plan. The plausibility of a current clinical action is determined by comparing the quantitative factors and its corresponding quantitative values associated with the current clinical action with the quantitative factors and the corresponding quantitative values of the previous clinical action. In the present disclosure, the effects of previous clinical actions are considered for determining plausibility of the current clinical action and hence provide an effective mechanism for determining plausibility of the overall clinical care plan. The present invention substantially reduces the time for determining plausibility of clinical care plan since it is an automated process.

Abstract: The present disclosure relates to a method and system for predicting the consultation duration for a user in a healthcare system. In an embodiment, the appointment scheduling system used in the healthcare connects with the prediction system through a communication network or directly for predicting the consultation time of a user. The prediction system receives at least one of user attributes, medical records and current symptoms of the users. The prediction system further determines the consultation preparation time and actual consultation time which is used by the prediction system for predicting the consultation duration for a user.