Abstract: Techniques for guideline-based food purchase management are provided. The techniques include generating a personalized set of nutrition guidelines for a user, generating a user profile for the user, wherein the user profile comprises health information and nutrition preferences, and using the personalized set of nutrition guidelines and the user profile to generate a guideline-based shopping list for the user. Techniques for generating location-based food purchase guidance are also provided. The techniques include obtaining a shopping list of food items and a list of stores to be considered in connection with the food items on the shopping list, using the shopping list, list of stores, a store location map and inter-store routing guidance to generate an inter-store shopping route, and generating an in-store shopping route, for each of the stores in the inter-store shopping route, based on the shopping list, intra-store routing guidance and a floor plan for the store.

Abstract: Techniques for guideline-based food purchase management are provided. The techniques include generating a personalized set of nutrition guidelines for a user, generating a user profile for the user, wherein the user profile comprises health information and nutrition preferences, and using the personalized set of nutrition guidelines and the user profile to generate a guideline-based shopping list for the user. Techniques for generating location-based food purchase guidance are also provided. The techniques include obtaining a shopping list of food items and a list of stores to be considered in connection with the food items on the shopping list, using the shopping list, list of stores, a store location map and inter-store routing guidance to generate an inter-store shopping route, and generating an in-store shopping route, for each of the stores in the inter-store shopping route, based on the shopping list, intra-store routing guidance and a floor plan for the store.

Abstract: A decision support device incorporates a number of user friendly features. The device is operable to determine context by displaying a flow diagram of a clinical guideline so the clinician can select the current step in treatment (S630). Initial, automatic display of decision support data can be restricted to clinical data only (S420). Data pertinent to the current decision, and therefore automatically selected for display, can be highlighted (S340) when appearing in screens subsequently brought up by the clinician.

Abstract: Method and system for determining a norm to apply to a patient being examined in which at least one physical characteristic of the patient is determined from the examination and guidelines relating thereto are obtained. Information about the patient other than from the examination and established norms for each characteristic are also obtained. An established norm to be applied to the patient is selected based on the determination of the characteristic(s), the guidelines relating to the determination thereof, and the information about the patient other than from the examination. The selection of the norm is performed by an inference engine. The norm is applied to the characteristic, e.g., a measured anatomical feature, to obtain a normal value therefor. The measured anatomical feature is compared to the normal value to determine whether it is indicative of a normal or abnormal condition.

Abstract: A system is provided for guiding the selection of a value for each of a plurality of parameters needed to perform a procedure with a medical system (100). The system includes a first knowledge base (210) comprising procedures and treatment regimes, a second knowledge base (212) comprising patient information and therapy history, and a third knowledge base (214) comprising clinical guidelines. A domain ontology (220) provides the semantic mapping between information in the first, second, and third knowledge bases. A system configuration database (226) contains physical characteristics pertaining to the medical system and a system characteristics database (228) contains mathematical formulas and algorithms for calibrating the medical system based on the data in the system configuration database.