Abstract: A system for generating dynamic user interfaces includes memory hardware storing instructions and processor hardware executing the instructions. The instructions include generating an interactive graphical user interface with fields corresponding to dates. The instructions include generating a selectable user interface element at a first field corresponding to a scheduled delivery date for a recipient. The instructions include, in response to a user dragging-and-dropping the selectable user interface element to a second field corresponding to an adjusted delivery date for the recipient, calculating a supply measure of a prior fill remaining with the recipient based on a stated duration of the prior fill and a date indicating receipt of the prior fill by the recipient. The instructions include, in response to the supply measure being greater than the threshold, moving the selectable user interface element to the second field and updating the scheduled delivery date to be the adjusted delivery date.

Abstract: A computerized search method includes receiving first input designating a first location of a first analytic. The method includes, in response to a scheduling event, obtaining a first document from the first location, identifying a first predefined label within the first document, obtaining first and second data associated with the first predefined label, storing the first datum into a value index as a current value of the first analytic, and storing the second datum into a text index as a textual description of the first analytic. The method includes presenting a search interface and, in response to receiving a search query from a user: identifying a set of result analytics relevant to the search query based on the text index and presenting, for each of the result analytics, a textual description of the analytic from the text index and a most recent value of the analytic from the value index.

Abstract: A delivery scheduling method includes receiving a bundle request from a user and identifying a first prescription scheduled for delivery within a date range. The method includes setting a scheduled delivery date of the first prescription as a target delivery date, identifying a set of prescriptions scheduled for delivery within a predetermined time of the target delivery date, and selecting one of the set of prescriptions as a candidate prescription. The method includes obtaining prescription parameters of the candidate prescription including a prior fill date of the candidate prescription and determining a required fill date of the candidate prescription. The method includes determining a blackout window for the candidate prescription based on a predetermined window following a prior fill date of the candidate prescription and, in response to the required fill date being after the blackout window, adjusting a delivery date of the candidate prescription to the target delivery date.

Abstract: A delivery scheduling method includes receiving a bundle request from a user and identifying a first prescription scheduled for delivery within a date range. The method includes setting a scheduled delivery date of the first prescription as a target delivery date, identifying a set of prescriptions scheduled for delivery within a predetermined time of the target delivery date, and selecting one of the set of prescriptions as a candidate prescription. The method includes obtaining prescription parameters of the candidate prescription including a prior fill date of the candidate prescription and determining a required fill date of the candidate prescription. The method includes determining a blackout window for the candidate prescription based on a predetermined window following a prior fill date of the candidate prescription and, in response to the required fill date being after the blackout window, adjusting a delivery date of the candidate prescription to the target delivery date.

Abstract: A computerized search method includes receiving first input designating a first location of a first analytic. The method includes, in response to a scheduling event, obtaining a first document from the first location, identifying a first predefined label within the first document, obtaining first and second data associated with the first predefined label, storing the first datum into a value index as a current value of the first analytic, and storing the second datum into a text index as a textual description of the first analytic. The method includes presenting a search interface and, in response to receiving a search query from a user: identifying a set of result analytics relevant to the search query based on the text index and presenting, for each of the result analytics, a textual description of the analytic from the text index and a most recent value of the analytic from the value index.

Abstract: A computerized search method includes receiving first input designating a first location of a first analytic. The method includes, in response to a scheduling event, obtaining a first document from the first location, identifying a first predefined label within the first document, obtaining first and second data associated with the first predefined label, storing the first datum into a value index as a current value of the first analytic, and storing the second datum into a text index as a textual description of the first analytic. The method includes presenting a search interface and, in response to receiving a search query from a user: identifying a set of result analytics relevant to the search query based on the text index and presenting, for each of the result analytics, a textual description of the analytic from the text index and a most recent value of the analytic from the value index.

Abstract: Methods and systems for predicting estimation of project factors in software development environment are described. In one embodiment, a project analyst device receives first input data including at least one type of first software development model and associated one or more first project development data from a user. A feedback device loaded in a project estimation device identifies one or more first software project risk factors based on the at least one type of the first software development model. The project estimation device processes the one or more first project development data using the identified one or more first software project risk factors to identify one or more first intermediate data required for project factors estimation, and predicts estimations of the project factors using the identified one or more first intermediate data. Additional methods and systems are disclosed.

Abstract: Methods and systems for analyzing software development risks are described. In one embodiment, a plurality of risk factor questions associated with a software development process of a software program during a software development stage in which the software program is being created or will be created are generated. A plurality of risk factor responses associated with the software development process of the software program is received. A plurality of risk factors with a plurality of risk factor models and a plurality of risk factor weightings is respectively associated. The plurality of risk factors are totaled in combination with their respective association of the plurality of risk factor models and the plurality of risk factor weightings to generate a predicted number of expected software development defects associated with continued development of the software program. Additional methods and systems are disclosed.

Abstract: Methods and systems for predicting estimation of project factors in software development environment are described. In one embodiment, a project analyst device receives first input data including at least one type of first software development model and associated one or more first project development data from a user. A feedback device loaded in a project estimation device identifies one or more first software project risk factors based on the at least one type of the first software development model. The project estimation device processes the one or more first project development data using the identified one or more first software project risk factors to identify one or more first intermediate data required for project factors estimation, and predicts estimations of the project factors using the identified one or more first intermediate data. Additional methods and systems are disclosed.

Abstract: Methods and systems for analyzing software development risks are described. In one embodiment, a plurality of risk factor questions associated with a software development process of a software program during a software development stage in which the software program is being created or will be created are generated. A plurality of risk factor responses associated with the software development process of the software program is received. A plurality of risk factors with a plurality of risk factor models and a plurality of risk factor weightings is respectively associated. The plurality of risk factors are totaled in combination with their respective association of the plurality of risk factor models and the plurality of risk factor weightings to generate a predicted number of expected software development defects associated with continued development of the software program. Additional methods and systems are disclosed.

Abstract: Methods and systems for analyzing software development risks are described. In one embodiment, a plurality of risk factor questions associated with a software development process of a software program during a software development stage in which the software program is being created or will be created are generated. A plurality of risk factor responses associated with the software development process of the software program is received. A plurality of risk factors with a plurality of risk factor models and a plurality of risk factor weightings is respectively associated. The plurality of risk factors are totaled in combination with their respective association of the plurality of risk factor models and the plurality of risk factor weightings to generate a predicted number of expected software development defects associated with continued development of the software program. Additional methods and systems are disclosed.

Abstract: Methods and systems for analyzing software development risks are described. In one embodiment, a plurality of risk factor questions associated with a software development process of a software program during a software development stage in which the software program is being created or will be created are generated. A plurality of risk factor responses associated with the software development process of the software program is received. A plurality of risk factors with a plurality of risk factor models and a plurality of risk factor weightings is respectively associated. The plurality of risk factors are totaled in combination with their respective association of the plurality of risk factor models and the plurality of risk factor weightings to generate a predicted number of expected software development defects associated with continued development of the software program. Additional methods and systems are disclosed.