PROVIDING DATA QUALITY FEEDBACK WHILE END USERS ENTER DATA IN ELECTRONIC FORMS

• US 20180150445A1
• Filed: 01/24/2018
• Published: 05/31/2018
• Est. Priority Date: 05/18/2016
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Ito, Marcia, Netto, Marco A.S., Santana, Vagner F.D.
• Granted Patent: US 10,255,259 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06F 40/174 Form filling; Merging

Abstract

An automated feedback may be provided while data is entered in an electronic form. Input entered into an input field of a form fillable window provided on a user interface display screen may be detected. A quality measure associated with the input as entered into the form fillable window may be determined. The quality measure is determined based on a quality needed for an analytics process of an application for which the input is being entered. A graphical indication representing the quality measure on the user interface display screen may be presented.

Claims

1. A computer readable storage medium storing a program of instructions executable by a machine to perform a method of providing automatic data quality feedback, comprising:

annotating input field data of an electronic form with a quality measure for a plurality of inputs fields and a plurality of electronic forms, the quality measure determined based on a quality needed for an analytics process of an application that uses the input field data;

generating a cluster of form data based on the quality measure;

receiving a request to generate a target quality measure for an electronic form currently being filled in via a user interface;

determining the target quality measure based on the cluster of form data; and

updating the cluster of form data with the determined target quality measure.

2. The computer readable storage medium of claim 1, wherein the annotating is performed by an automatic analyzer.

3. The computer readable storage medium of claim 1, where in the request comprises a form identifier, a field identifier and input data of a field identified by the field identifier.

4. The computer readable storage medium of claim 1, wherein the electronic from comprises a medical form.

5. A method of providing automatic data quality feedback, the method performed by at least one hardware processor, the method comprising:

annotating input field data of an electronic form with a quality measure for a plurality of inputs fields and a plurality of electronic forms, the quality measure determined based on a quality needed for an analytics process of an application that uses the input field data;

generating a cluster of form data based on the quality measure;

receiving a request to generate a target quality measure for an electronic form currently being filled in via a user interface;

determining the target quality measure based on the cluster of form data; and

updating the cluster of form data with the determined target quality measure.

6. The method of claim 5, wherein the annotating is performed by an automatic analyzer.

7. The method of claim 5, where in the request comprises a form identifier, a field identifier and input data of a field identified by the field identifier.

8. The method of claim 5, wherein the electronic from comprises a medical form.

9. A system of providing automatic data quality feedback, comprising:

a hardware processor coupled with a storage device,

the hardware processor operable to annotate input field data of an electronic form with a quality measure for a plurality of inputs fields and a plurality of electronic forms, the quality measure determined based on a quality needed for an analytics process of an application that uses the input field data;

the storage device storing the quality measure associated with the plurality of inputs fields;

the hardware processor further operable to generate a cluster of form data based on the quality measure;

the hardware processor further operable to receive a request to generate a target quality measure for an electronic form currently being filled in via a user interface;

the hardware processor further operable to determine the target quality measure based on the cluster of form data;

the hardware processor further operable to update the cluster of form data with the determined target quality measure.

10. The system of claim 9, wherein the hardware processor learns to automatically annotate the input field data of the electronic form based on machine learning.

11. The system of claim 9, where in the request comprises a form identifier, a field identifier and input data of a field identified by the field identifier.

12. The system of claim 9, wherein the electronic from comprises a medical form.