Predictive user interface system

• US 20060143093A1
• Filed: 11/23/2005
• Published: 06/29/2006
• Est. Priority Date: 11/24/2004
• Status: Abandoned Application

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Inventors: Brandt, Samuel I., Haley, John D., Liu, Zhijing, DeHaan, Jan
• Application Number:
  US11/285,807
• Publication Number:
  US 20060143093A1
• Time in Patent Office: Days
• US Class Current: 705/26
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A user interface system decreases the number of user interactions with a computer user interface, used to select items in multiple related menus, through a comprehensive heuristic menu arrangement control by providing several discrete, yet complementary, features. The system enables user selection of related parameters identifying an order for providing an item. A repository includes information identifying candidate items for order and associated corresponding related order parameters. An individual item for order is associated with multiple related order parameters. A user interface processor provides data representing a display image identifying an initial complete candidate order including multiple related parameters, in response to user entry of order-associated data. In response to user selection of an individual parameter of the initial complete candidate order, the user interface processor provides data representing multiple, different individually user selectable complete candidate orders incorporating corresponding sets of different related order parameters. The complete candidate orders are derived using the repository and based on user ordering history. The user interface processor selects one of the multiple, different individually user selectable complete candidate orders in response to a user command.

Claims

1. A user interface system enabling user selection of related parameters identifying an order for providing an item, comprising:

a repository including information identifying candidate items for order and associated corresponding related order parameters, an individual item for order being associated with a plurality of related order parameters; and

a user interface processor for,

providing data representing a display image identifying an initial complete candidate order including a plurality of related parameters, in response to user entry of order associated data,

in response to user selection of an individual parameter of said initial complete candidate order, providing data representing a plurality of different individually user selectable complete candidate orders incorporating corresponding sets of different related order parameters, said complete candidate orders being derived using said repository and based on user ordering history and

selecting one of said plurality of different individually user selectable complete candidate orders in response to user command.

2. A system according to claim 1, wherein

said initial complete candidate order is a single order and

said orders are orders for providing medical treatment for a patient and said related parameters identify at least one of, (a) quantity, (b) a route of administration of a medical treatment, (c) a frequency of administering a treatment and (d) a form of medical treatment.

3. A system according to claim 2, wherein

said form of medical treatment comprises at least one of, (a) a package type, (b) a strength of a medical treatment and (c) a concentration of a medical treatment.

4. A system according to claim 1, including

a prediction processor for predicting values of remaining parameters of an individual order, in response to user selection of a value of an individual parameter of said initial complete candidate order.

5. A system according to claim 4, wherein

said prediction processor predicts values of remaining parameters related to an individual order based on at least one of, (a) user ordering history and (b) clinical logic.

6. A system according to claim 5, wherein

said clinical logic employs at least one of, (a) Bayesian logic, (b) Hidden Markov Models, (c) neural networks and (d) fuzzy logic.

7. A system according to claim 4, wherein

said prediction processor predicts values of remaining parameters of an individual order in response to a user selected value of a parameter of said individual order and

said user selected value of said parameter of said individual order constrains a set of allowable values of said remaining parameters of said individual order.

8. A system according to claim 1, including

a prediction processor for predicting and incorporating values in said different related order parameters of said plurality of different individually user selectable complete candidate orders, in response to user selection of a value of an individual parameter of said initial complete candidate order.

9. A system according to claim 8, wherein

said prediction processor predicts values of remaining parameters of an individual order based on at least one of, (a) user ordering history and (b) clinical logic.

10. A system according to claim 8, wherein

said prediction processor predicts values of remaining parameters of an individual order in response to a user selected value of a parameter of said individual order and

said user selected value of said parameter of said individual order constrains a set of allowable values of said remaining parameters of said individual order.

11. A system according to claim 1, wherein

said initial complete candidate order is derived by identifying an order having the highest probability of being desired by the user based on user prior ordering history and received medical information of the patient concerned, using said repository.

12. A system according to claim 1, wherein

said initial complete candidate order is derived based on at least one of, (a) predetermined clinical guidelines, (b) predetermined departmental treatment preferences and (c) treatment resource availability.

13. A system according to claim 1, including

a prediction processor for determining a number of said plurality of different individually user selectable complete candidate orders identified in a display image in response to a determined user task load.

14. A system according to claim 1, including

a prediction processor for determining a number of said plurality of different individually user selectable complete candidate orders identified in a display image in response to at least one of, (a) an estimated time required to generate and render an image menu incorporating data identifying said plurality of different individually user selectable complete candidate orders, (b) an estimated number of system interactions required to scroll said image menu incorporating data identifying said plurality of different individually user selectable complete candidate orders and (c) an estimated time required to select and display said image menu incorporating data identifying said plurality of different individually user selectable complete candidate orders.

15. A system according to claim 1, including

a prediction processor for predicting at least one of, (a) said initial complete candidate and (b) said plurality of different individually user selectable complete candidate orders, based on user entered text partially identifying an order.

16. A system according to claim 1, wherein

said user interface processor, in response to user selection of an individual parameter value of said initial complete candidate order, provides data representing a plurality of different individually user selectable partial candidate orders incorporating corresponding sets of different related order parameters, said partial candidate orders being derived using said repository and based on user ordering history and said partial candidate orders, in combination with said user selected individual parameter value, comprise complete candidate orders.

17. A system according to claim 16, including

a prediction processor for predicting values of remaining parameters of said partial candidate orders, said user selected value of said individual parameter remaining fixed.

18. A user interface system enabling user selection of related parameters identifying an order for providing an item, comprising:

a repository including information identifying candidate items for order and associated corresponding related order parameters, an individual item for order being associated with a plurality of related order parameters; and

a user interface processor for,

providing data representing a display image identifying an initial complete candidate order including a plurality of related parameters, in response to user entry of order associated data,

in response to user selection of an individual parameter value of said initial complete candidate order, providing data representing a plurality of different individually user selectable partial candidate orders incorporating corresponding sets of different related order parameters, said partial candidate orders being derived using said repository and based on user ordering history and said partial candidate orders, in combination with said user selected individual parameter value, comprise complete candidate orders and

selecting one of said plurality of different individually user selectable complete candidate orders in response to user command.

19. A system according to claim 18, including

a prediction processor for predicting values of remaining parameters of said partial candidate orders, said user selected value of said individual parameter remaining fixed.