A context sensitive medical data entry system

Patent metadata

Field	Value
Publication number	US-2016335403-A1
Application number	US-201515109906-A
Country	US
Kind code	A1
Filing date	Jan 19, 2015
Priority date	Jan 30, 2014
Publication date	Nov 17, 2016
Grant date	—

Abstract

A system for providing actionable annotations includes a clinical database storing one or more clinical documents including clinical data. A natural language processing engine which processes the clinical documents to detected clinical data. A context extraction and classification engine which generates clinical context information from the clinical data. An annotation recommending engine which generates a list of recommended annotations based on the clinical context information. A clinical interface engine which generates a user interface displaying the list of selectable recommended annotations.

First claim

1 . A system for providing actionable annotations, the system comprising:
a clinical database storing one or more clinical documents including clinical data; a natural language processing engine which processes the clinical documents to detected clinical data; a context extraction and classification engine which generates clinical context information from the clinical data; an annotation recommending engine which generates a list of recommended actionable annotations based on the clinical context information; and a clinical interface engine which generates a user interface displaying the list of selectable recommended annotations.

2 . The system according to claim 1 , wherein the context extraction and classification engine generates clinical context information based on an image being displayed to the user.

3 . The system according to claim 1 , further including:
an annotation tracker which tracks all annotations for a patient along with relevant meta data.

4 . The system according to claim 1 , wherein user interface includes a menu based interface which enables the user to select various combinations of annotations.

5 . The system according to claim 1 , wherein the actionable annotation is actionable in that its content is structured or readily structured with elementary mapping methods and in that the structure has a pre-defined semantic annotation.

6 . (canceled)

7 . The system according to claim 1 , wherein user interface enables the user to insert the selected annotations into a radiology report.

8 . (canceled)

9 . (canceled)

10 . (canceled)

11 . (canceled)

12 . (canceled)

13 . A method for providing recommended actionable annotations, the method comprising:
storing one or more clinical documents including clinical data; processing the clinical documents to detected clinical data; generating clinical context information from the clinical data; generating a list of recommended actionable annotations based on the clinical context information; and generating a user interface displaying the list of selectable recommended annotations.

14 . The method according to claim 13 , further including:
generate clinical context information based on an image being displayed to the user.

15 . The method according to claim 13 , further including:
track all annotations for a patient along with relevant meta data.

16 . The method according to claim 13 , wherein user interface includes a menu based interface which enables the user to select various combinations of annotations.

17 . (canceled)

Assignees

• Koninklijke Philips Nv

Inventors

• Mabotuwana Thusitha Dananjaya De Si
• Sevenster Merlijn
• Qian Yuechen

Classifications

• G06F16/58

  Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually · CPC title

• G06F16/3344

  using natural language analysis · CPC title

• G06F19/345

  Physics · mapped topic

• G06F19/324 Primary

  Physics · mapped topic

• G06F17/30265

  Physics · mapped topic