Integration of Multiple Input Data Streams to Create Structured Data

• US 20140365242A1
• Filed: 03/20/2014
• Published: 12/11/2014
• Est. Priority Date: 06/07/2013
• Status: Abandoned Application

• Current Assignee: Cerner Innovation, Inc. (Oracle Corporation)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Neff, Robert A
• Application Number:
  US14/220,171
• Publication Number:
  US 20140365242A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients

Abstract

Disclosed herein is a framework for integrating multiple input data streams. In accordance with one aspect, multiple input data streams are acquired from one or more pervasive devices during performance of a regular task. The acquired input data may be translated into structured data. One or more determinations may then be made based on the structured data.

Claims

1. A system for integrating multiple input data streams, comprising:

a non-transitory memory device for storing computer readable program code; and

a processor in communication with the memory device, the processor being operative with the computer readable program code to;

acquire, from one or more pervasive devices, multiple input data streams during performance of a regular task;

translate the acquired input data streams into structured data; and

make one or more determinations based on the structured data.

2. The system of claim 1 wherein the multiple input data streams are acquired from a network of pervasive devices.

3. The system of claim 1 wherein the processor is further operative with the computer readable program code to pre-process the input data streams and protect privacy of a patient or a healthcare provider.

4. The system of claim 1 wherein the one or more pervasive devices comprise a healthcare device with a sensor.

5. The system of claim 4 wherein the unstructured data comprises image data, audio data, video data or a combination thereof.

6. The system of claim 1 wherein the processor is further operative with the computer readable program code to mine data from an external data source and combine the mined data with the acquired input data streams to generate the structured data.

7. The system of claim 6 wherein the processor is operative with the computer readable program code to mine the data from the external data source by using domain-specific criteria to mine the data from a patient record.

8. The system of claim 6 wherein the processor is operative with the computer readable program code to mine the data from the external data source by using a clinical ontology to mine the data from a patient record, wherein the clinical ontology constrains the one or more determinations.

9. The system of claim 8 wherein the clinical ontology comprises Systematized Nomenclature of Medicine.

10. The system of claim 1 wherein the processor is operative with the computer readable program code to translate the acquired input data into the structured data by using Natural Language Processing (NLP), machine learning, neural networks, image translation and processing, or a combination thereof.

11. The system of claim 1 wherein the processor is operative with the computer readable program code to translate the acquired input data into the structured data by inserting the acquired input data into fields of a structured format.

12. The system of claim 1 wherein the processor is operative with the computer readable program code to make the one or more determinations by making one or more inferences regarding a patient'"'"'s current state.

13. The system of claim 1 wherein the processor is operative with the computer readable program code to make the one or more determinations by

assigning one or more values to the structured data, and

mapping the one or more values to one or more medical concepts.

14. The system of claim 1 wherein the one or more pervasive devices comprise a wearable sensor and display worn by a healthcare provider during a patient encounter.

15. The system of claim 14 wherein the processor is operative with the computer readable program code to make the one or more determinations by generating feedback information to manage a workflow.

16. The system of claim 14 wherein the processor is operative with the computer readable program code to generate the feedback information by

automatically identifying a patient based at least in part on sensor data from the wearable sensor and display, and

presenting, via the wearable sensor and display, the feedback information in response to the patient identification, wherein the feedback information indicates any error encountered in the patient identification.

17. The system of claim 14, wherein the processor is operative with the computer readable program code to generate the feedback information by

automatically identifying a medication based at least in part on sensor data from the wearable sensor and display, and

presenting, via the wearable sensor and display, the feedback information in response to the medication identification, wherein the feedback information indicates any error encountered in the medication identification.

18. The system of claim 14, wherein the processor is operative with the computer readable program code to generate the feedback information by

automatically pre-populating a medication order based at least in part on sensor data from the wearable sensor and display, and

presenting, via the wearable sensor and display, the medication order for verification.

19. The system of claim 14, wherein the processor is operative with the computer readable program code to generate the feedback information by

automatically recognizing, based on sensor data from the wearable sensor and display, occurrence of an event that requires a label, and

in response to recognizing the occurrence of the event, presenting, via the wearable sensor and display, the feedback information to alert the healthcare provider that a label is required.

20. The system of claim 14, wherein the processor is operative with the computer readable program code to generate the feedback information by

automatically identifying, based on sensor data from the wearable sensor and display, any third party within a predefined area around the patient,

determining an authorization level of the identified third party, and

presenting, via the wearable sensor and display, the feedback information pertaining to distribution of patient healthcare information based on the determined authorization level.

21. The system of claim 14 wherein the processor is operative with the computer readable program code to make the one or more determinations based on the structured data by

automatically identifying, based on sensor data from the wearable sensor and display, one or more healthcare devices within a predefined area around the patient,

determining identification data that uniquely identifies the one or more healthcare devices, and

automatically associating the identification data with the patient.

22. A non-transitory computer readable medium embodying a program of instructions executable by machine to perform steps for managing a healthcare workflow, the steps comprising:

receiving input sensor data from a wearable sensor and display worn by a healthcare provider during a patient encounter;

translating the input sensor data into structured data; and

providing, based on the structured data, feedback information in association with one or more steps undertaken in the healthcare workflow, wherein the feedback information is provided to the wearable sensor and display for presentation.

23. A method of managing a healthcare workflow, comprising:

receiving input sensor data from a wearable sensor and display worn by a healthcare provider during a patient encounter;

translating the input sensor data into structured data; and

providing, based on the structured data, feedback information in association with one or more steps undertaken in the healthcare workflow, wherein the feedback information is provided to the wearable sensor and display for presentation.