Managing critical care physiologic data using data synthesis technology (DST)

• US 7,062,251 B2
• Filed: 03/05/2004
• Issued: 06/13/2006
• Est. Priority Date: 03/05/2003
• Status: Expired due to Term

• Current Assignee: University of Florida Research Foundation, Incorporated (State University System of Florida)
• Original Assignee: University of Florida Research Foundation, Incorporated (State University System of Florida)
• Inventors: Birkett, Kevin R., Carnes, Tony C., Coons, III, Samuel W., Drummond, Willa H.
• Primary Examiner(s): Gary, Erika A.
• Application Number:
  US10/794,639
• Publication Number:
  US 20040176983A1
• Time in Patent Office: 830 Days
• Field of Search: 600/300, 600/323, 600/301, 600/483
• US Class Current: 455/400
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61M 16/0051 with alarm devices
• CPC Class Codes: A61M 2205/505 Touch-screens; Virtual keyboard or keypads; Virtual buttons; Soft keys; Mouse touches
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• 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 40/67 for remote operation

Abstract

A method of integrating physiologic data including receiving physiologic treatment data from at least two bedside machines and converting the physiologic treatment data into a machine independent format. The physiologic treatment data can be presented in perceptual real-time. For example, physiologic treatment data from multiple sources can be simultaneously presented within a single graphical user interface. The graphical user interface can be interactive so that displayed graphs can be replotted and timelines revised responsive to user input, such as a point-and-drag motion.

Claims

1. A method of integrating physiologic treatment data comprising the steps of:

receiving physiologic treatment data from at least two bedside machines;

converting said physiologic treatment data from a machine specific format into a machine independent format within a computing device remotely located from said bedside machines;

performing at least one programmatic action involving said machine-independent data; and

presenting results from said programmatic actions upon a bedside graphical user interface.

2. The method of claim 1, wherein said convening step further comprises the steps of:

receiving a data stream from each of said bedside machines;

for each data stream, determining a transport protocol for said data stream, wherein said transport protocol is particular to said bedside machine; and

segmenting said data streams into discrete elements.

3. The method of claim 2, further comprising the steps of:

for each of said discrete elements, referencing a data store to determine a standard data format associated with said discrete element; and

converting at least a potion of said discrete elements into said standard data format, wherein said presenting step uses said standard data format.

4. The method of claim 1, further comprising the steps of:

removing patient specific information from said physiologic treatment data; and

storing said physiologic treatment data for clinical research use.

5. The method of claim 1, further comprising the step of:

responding to a request from said bedside graphical user interface in perceptual real-time.

6. A system for integrating physiologic treatment data comprising:

a bedside machine for monitoring physiologic treatment data that includes a data port for serial communication;

a bedside computing device communicatively linked to said bedside machine through said data port and communicatively linked to a network through a network port; and

a centralized data repository communicatively linked to said bedside computing device though said network port, wherein said centralized data repository is configured to convert data received from said bedside computing device in a machine-specific format into a machine-independent format based upon a predetermined machine-independent schema and to synchronize the received data with data from at least one other bedside machine, wherein said bedside machines utilize different machine-specific data conventions.

7. The system of claim 6, further comprising a physiologic information system, wherein said physiologic information system is selected from the group consisting of a care network information system, a laboratory information system, and a pharmacy information system.

8. The system of claim 6, further comprising:

a clinical research information system, wherein at least a portion of said data from said bedside machines is remotely accessible to said clinical research information system.

9. A system for integrating bedside physiologic treatment data comprising:

at least two bedside machines, each configured to monitor at least one physiological condition, wherein each bedside machine comprises a data port, wherein said bedside machines utilize different data conventions when conveying data via said data ports; and

a centralized data repository communicatively linked to said bedside machines through the respective data ports of said bedside machines, wherein said centralized data repository is configured to convert data received from said bedside machines into a machine-independent format based upon a predetermined machine-independent schema.

10. The system of claim 9, further comprising:

at least one bedside computing device having at least one bedside machine driver configured for particular ones of said bedside machines to facilitate data exchanges between said bedside machines and said bedside computing device.

11. The system of claim 10, wherein said bedside computing device is configured to communicate said physiologic treatment data with a data source selected from the group consisting of a laboratory information system, a hospital information system, and a pharmacy information system.

12. The system of claim 9, further comprising a machine-specific data store communicatively linked to the centralized data repository and having at least one table for cross-referencing machine-specific data to standardized data.

13. The system of claim 9, further comprising a machine-specific data store communicatively linked to the centralized data repository and having at least one table for cross-referencing database-specific data to standardized data.

14. A machine-readable storage having stored thereon, a computer program having a plurality of code sections, said code sections executable by a machine for causing the machine to perform the steps of:

receiving physiologic treatment data from at least two bedside machines;

converting said physiologic treatment data from a machine specific format into a machine independent format within a computing device remotely located from said bedside machines;

performing at least one programmatic action involving said machine-independent data; and

presenting results from said programmatic actions upon a bedside graphical user interface.

15. The machine-readable storage of claim 14, wherein said converting step further comprises the steps of:

receiving a data stream from each of said bedside machines;

for each data stream, determining a transport protocol for said data stream, wherein said transport protocol is particular to said bedside machine; and

segmenting said data streams into discrete elements.

16. The machine-readable storage of claim 15, further comprising the steps of:

for each of said discrete elements, referencing a data store to determine a standard data format associated with said discrete element; and

converting at least a portion of said discrete elements into said standard data format, wherein said presenting step uses said standard data format.

17. The machine-readable storage of claim 14, further comprising the steps of:

removing patient specific information from said physiologic treatment data; and

storing said physiologic treatment data for clinical research use.

18. The machine-readable storage of claim 14, further comprising the step of:

responding to a request from said bedside graphical user interface in perceptual real-time.