Pain Monitoring Apparatus and Methods Thereof

• US 20100249529A1
• Filed: 06/11/2009
• Published: 09/30/2010
• Est. Priority Date: 11/13/2008
• Status: Abandoned Application

• Current Assignee: National Taiwan University (Government of The Republic of China)
• Original Assignee: National Taiwan University (Government of The Republic of China)
• Inventors: Sun, Wei-Zen, Dai, Chun-Yi, Shieh, Jiann-Shing
• Application Number:
  US12/483,069
• Publication Number:
  US 20100249529A1
• Time in Patent Office: Days
• US Class Current: 600/300
• 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 5/4824 Touch or pain perception evaluation A61B5/4821 takes precedence

Abstract

A system for monitoring patient control analgesia (PCA) is provided. The system is used with or without a web page at bedside or a remote end. With the system, patients obtain good pain caring; doctors are provided with abundant reference data; and vendors get controls on device logistics.

Claims

1. A pain monitoring apparatus, comprising

a patient control analgesia (PCA) device, said PCA device obtaining patient pain data, said patient pain data comprising patient basic data, patient bedside information and a patient PCA using history;

a computer monitoring module, said computer monitoring module obtaining said patient pain data from said PCA device through a communication interface, said computer monitoring module storing said patient pain data in a computer monitoring module database to be exchanged, analyzed and integrated;

a web monitoring module, said web monitoring module obtaining said patient pain data through the Internet to be analyzed; and

a web monitoring module database, said web monitoring module database comprising a real-time pain monitoring platform, a PCA machine and drug logistic platform and a patient pain management platform, said web monitoring module database being stored with results of categorizing said analyzed patient pain data by said web monitoring module.

2. The apparatus according to claim 1,

wherein said computer monitoring module has an artificial intelligent algorithm to obtain a fuzzy-pain-intend-to-treat (FPITT) Index.

3. The apparatus according to claim 1,

wherein said patient basic data comprises a height, a sex, a weight, a description and a safety class.

4. The apparatus according to claim 1,

wherein said patient bedside information comprises a pain score and a side-effect evaluation.

5. The apparatus according to claim 1,

wherein said patient PCA using history comprises a drug using timings, a drug dosage, demand times and a PCA machine status.

6. The apparatus according to claim 1,

wherein said computer monitoring module is a desktop computer.

7. The apparatus according to claim 1,

wherein said pain monitoring apparatus further comprises a portable device to obtain said patient pain data from said PCA device through a wireless connection with a PCA blue tooth wireless communication module.

8. The apparatus according to claim 7,

wherein said portable device is selected from a group consisting of a personal digital assistant (PDA) and an ultra mobile personal computer (UMPC).

9. The apparatus according to claim 7,

wherein said PCA blue tooth wireless communication module is a plug-and-play (PnP) device.

10. The apparatus according to claim 1,

wherein said computer monitoring module is built-in with a clinical visit system.

11. The apparatus according to claim 1,

wherein said pain monitoring apparatus has a method used without a web page, comprising steps of:

(a1) obtaining said patient bedside information from said PCA device by said portable device through visiting a patient at bed side;

(b1) obtaining said patient basic data and said patient PCA using history from said PCA device by said computer monitoring module to exchange data with said portable device to process data analysis and storing results of said data analysis in said computer monitoring module database;

(c1) transmitting said patient basic data, said patient bedside information and said patient PCA using history through the Internet;

(d1) receiving said patient basic data, said patient bedside information and said patient PCA using history by said web monitoring module and storing said patient basic data, said patient bedside information and said patient PCA using history in said web monitoring module database; and

(e1) categorizing said analyzed patient basic data, said analyzed patient bedside information and said analyzed patient PCA using history to be stored in said real-time pain monitoring platform, said PCA machine and drug logistic platform and said patient pain management platform of said web monitoring module database.

12. The apparatus according to claim 11,

wherein, in step (a1), a PCA blue tooth wireless communication module is used to process an integrated diagnosis by examining said patient PCA using history.

13. The apparatus according to claim

wherein said pain monitoring apparatus has a method used with a web page, comprising steps of:

(a2) obtaining said patient bedside information through the Internet by said web monitoring module at bed side of a patient;

(b2) obtaining said patient basic data through the Internet by said web monitoring module at a nursing station;

(c2) obtaining said patient PCA using history by said computer monitoring module;

(d2) transmitting said patient PCA using history to be received by said web monitoring module through the Internet and analyzing said patient basic data, said patient bedside information and said patient PCA using history by said web monitoring module; and

(e1) categorizing said analyzed patient basic data, said analyzed patient bedside information and said analyzed patient PCA using history to be stored in said real-time pain monitoring platform, said PCA machine and drug logistic platform and said patient pain management platform of said web monitoring module database.