Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for use in generating one or more customized food items that are customized specifically for the one or more users, the user information to be acquired including at least one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of the one or more customized food items for the one or more users, the one or more customized food items having been customized to show one or more visual indicators that provide customized information that has been customized in accordance, at least in part, with the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for preparing one or more customized food items for the one or more users, the user information including one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of one or more customized packagings for holding the one or more customized food items of the one or more users, the one or more customized packagings having one or more features that are customized based, at least in part, on the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for use in generating one or more customized food items that are customized specifically for the one or more users, the user information to be acquired including at least one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of the one or more customized food items for the one or more users, the one or more customized food items having been customized to show one or more visual indicators that provide customized information that has been customized in accordance, at least in part, with the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include receiving a generic food request from a user for one or more food items; obtaining, in response to the reception of the generic food request, user preference information of the user that indicates one or more food customization preferences of the user including at least one or more ingredient integrity preferences of the user related to integrity of one or more ingredients, the user preference information to be obtained from one or more sources other than the user; and directing automated generation of one or more customized food items in response to the received generic food request and in accordance, at least in part, with the obtained user preference information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients; determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user; and identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients; determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user; and identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for preparing one or more customized food items for the one or more users, the user information including one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of one or more customized packagings for holding the one or more customized food items of the one or more users, the one or more customized packagings having one or more features that are customized based, at least in part, on the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include receiving a generic food request from a user for one or more food items; obtaining, in response to the reception of the generic food request, user preference information of the user that indicates one or more food customization preferences of the user including at least one or more ingredient integrity preferences of the user related to integrity of one or more ingredients, the user preference information to be obtained from one or more sources other than the user; and directing automated generation of one or more customized food items in response to the received generic food request and in accordance, at least in part, with the obtained user preference information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: A medication infusion system having an integrated dose rate calculation feature for selectively assigning values to a plurality of infusion parameters and automatically calculating an infusion rate from the selected parameters. One embodiment includes a stored list of drug names having associated dose rate and concentration units that are automatically set when a drug name is selected from the list. Another embodiment includes "Fast" softkeys that can be programmed to display parameter values or drug names in a predetermined sequence. The dose rate calculation feature may also be used during infusion to titrate the dosage being delivered to the patient for improved therapeutic results. The stored list of drug names and associated infusion parameters may be altered by qualified personnel using an external programming source running specialized software.