Computer Assisted Cardiologist-Computer Assisted Surgery (CAC-CAS) Research Group

CAC-CAS research group is currently working towards its goal to assist medical experts by data collection and/or decision support system. We invite postgraduate candidates (PhD and MSc) to join our research group. The followings are some of the research areas under this project: Image processing, Database, Artificial Intelligent, Software Engineering, and Computer Graphics. The expected output are cardiovascular info. system, heart disease DSS, medical research and 3D medical visualization.

25 April, 2009

24th meeting

Last Friday we have brief meeting after Dr. Lilly's student presenting his progress report. Dr. Lilly will supervise 3 Industrial Training students and Dr. Gee will supervise one. Next meeting will be on 8th Mei to evaluate students progress. These students will develop our pilot system which covers database, system Cardiologist and Cardiothoracic Surgery units. It will not include any expert, AI or DSS element.

2 comments:

new student said...: Dear dr,
i was interested to join your research group.i will further my master study at upm this coming july...; June 22, 2009 at 1:26 AM
Rahmita Wirza said...: We are delighted to accept you as our student.; June 28, 2009 at 7:17 PM

Introduction to CAC-CAS Research Group

Hospitals are known for having separate information systems across various departments, which are usually heterogeneous in nature. Medical experts could benefit greatly from the integration of these islands, but the heterogeneity of the sources/databases often impedes this.
Most cardiothoracic units use isolated heterogeneous systems to keep patients records as well as to support the experts when deciding for cardiothoracic surgery. These include patient’s information system, lab results for x-ray, angiography, echocardiogram, blood etc. All these information are stored in heterogeneous systems and as such, a user would have to log-in and log-out from one system to another, to monitor/trace a patient’s medical record. Since existing systems are isolated, most of the time the hardcopy of reports from the various systems are printed and compiled as one huge patient’s file. Should a patient be moved from one unit to another, the hardcopy file would also be transferred/moved. The tendency for this file to be lost or misplaced is really high.
Therefore, alternatively an integrated system to combine the existing heterogeneous systems is required. By introducing integration of heterogeneous medical databases, it could assist medical experts either before or after cardiothoracic surgery, be it of data collection, and/or decision support system. Databases could be accessed and updated in one place and at the same time there would not have to repeat the same data entry into separate systems. Thus minimizing errors and risks, saves cost, better and improve patients’ management, faster decision making are among the benefits to be favored by medical experts when implementing integrated heterogeneous medical databases.

We invite postgraduate candidates (PhD and MSc) to join our research group. The followings are some of the research areas under this project:
· Image processing,
· Database,
· Artificial Intelligent,
· Software Engineering, and
· Computer Graphics

Members

A.P. Dr. Rahmita Wirza O.K. Rahmat (UPM-CAS)
A.P. Hj Hasan Selamat (UPM-CAS)
Dr. Lilly Suriani Affendey (UPM-CAS)
A.P. Dr. Mohd Zamrin Dimon (PPUKM-CAS)
Dr. Rabiah Abdul Kadir (UPM-CAS)
Dr. Rodziah Atan (UPM-CAC)
A.P. Dr. Oteh Maskon (PPUKM-CAC)
Dr. Ting Chih Kuan (PPUKM-CAC)
Dr. Ika Faizura Mohd Nor (PPUKM-CAC)
A.P. Dr. Hj Md. Nasir Sulaiman (UPM-CAS)
Dr. Lili Nurliyana Abdullah (UPM-CAC)
Dr. Norwati Mustapha (UPM-CAS)
Dr. Masrah Azrifah Azmi Murad (UPM-CAC)
Dr. Fatimah Khalid (UPM-CAC)
Dr. Muhamad Taufik Abdullah (UPM-CAS)
A.P. Dr. Mohd Ramzisham Abdul Rahman (PPUKM-CAS)
Dr. Masitah Ghazali (UTM-CAS)

List of on-going Projects

Integrated Heterogeneous Medical Databases for Cardiothoracic Systems (Dr. Lilly Suriani Affendey)

Intelligent Cardiothoracic ICU Hemodynamic Monitoring System (Dr. Rabiah Abdul Kadir)

Intelligent Peri-operative Medical Laboratory Investigation System (A.P. Mohd Hasan Bin Selamat)

Intelligent Peri-Operative Decision Support System (iPoDSS) for Coronary Artery Disease Patients (A.P. Dr. Md. Nasir Sulaiman)

Cardiothoracic Surgery Data Visualization with Voice Activation and Augmented Reality (A.P. Dr. Rahmita Wirza)

CAC-CAS research group is currently working towards its goal to integrate the existing heterogeneous systems and assist medical experts by data collection, and/or decision support system.
If you interested to further your study in these area particular in:
1.Database, please email to suriani@fsktm.upm.edu.my
2.Information System, please email to hasan@fsktm.upm.edu.my
3.Expert System, please email to rabiah@fsktm.upm.edu.my
4.Artificial Intelligent, please email to nasir@fsktm.upm.edu.my
5.3D Computer Graphics, please email to rahmita@fsktm.upm.edu.my
6. Image Processing, please email to fatimahk@fsktm.upm.edu.my, and
7. Decision Support System, please email to liyana@fsktm.upm.edu.my

As soon as you contact them, they will discuss with members of the group and set up the supervisory committe.
(keyword : cardiovascular info. system, heart disease DSS, medical research)