Clinical Decision Support System Based Virtual Telemedicine

Telemedicine is a blessing for the people of remote areas because it provides high level medical facilities in an efficient way at low cost. Store-and-Forward method of telemedicine suits more to the progressive countries like Pakistan as not only because it is easy to set up but also due to its cheap operating cost. However, the high response time taken by store & forward telemedicine becomes a critical factor in emergency cases, where each minute has a price. The response time factor can be overcome by using virtual telemedicine approach. In virtual telemedicine, a Clinical Decision Support System (CDSS) is deployed at rural station. The CDSS is intelligent enough to diagnose a patient's disease and prescribe proper medication. In a case, the CDSS can not answer a query, the CDSS immediately sends an e-mail to a medical expert (doctor) and when the response is received the CDSS knowledge-base is updated for the future queries. In this research paper, we not only report a NL-based CDSS that can answer NL queries but also present a complete architecture of a virtual telemedicine setup.

[1]  Arthur Tatnall,et al.  Experiences in Building and Using Decision- Support Systems in Postgraduate University Courses , 2007 .

[2]  D. Klonoff,et al.  The Missing Element of Telemedicine for Diabetes: Decision Support Software , 2009, Journal of diabetes science and technology.

[3]  Jason Nieh,et al.  REPETE2: A next generation home telemedicine architecture. , 2007, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[4]  A. Allen,et al.  Telemedicine technology and clinical applications. , 1995, JAMA.

[5]  Michael J. Ackerman,et al.  Chapter 6: Telemedicine Technology , 2002 .

[6]  A. Tanwani,et al.  Using Telemedicine as an Enabler for Antenatal Care in Pakistan , 2008 .

[7]  T. Stevens,et al.  Telemedicine technology. , 1994, Alaska medicine.

[8]  Kyung Sup Kwak,et al.  A Telemedicine Network Model for Health Applications in Pakistan - Current Status and Future Prospects , 2009, J. Digit. Content Technol. its Appl..

[9]  Imran Sarwar Bajwa.  Virtual Telemedicine Using Natural Language Processing , 2010, Int. J. Inf. Technol. Web Eng..

[10]  Zhang Jing,et al.  Remote patient monitoring system for China , 2007, IEEE Potentials.

[11]  D. Puskin,et al.  Opportunities and challenges to telemedicine in rural America , 1995, Journal of Medical Systems.

[12]  Bo G. Johansson.  Design and Implementation of a Clinical Decision Support System Based on Open Standards , 2001, AMIA.

[13]  Asif Zafar,et al.  Comparison of store and forward method of teledermatology with face-to-face consultation. , 2003, Journal of Ayub Medical College, Abbottabad : JAMC.

[14]  F. del Pozo,et al.  Telemedicine for diabetes care: the DIABTel approach towards diabetes telecare. , 1996, Medical informatics = Medecine et informatique.

[15]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[16]  D. J. Berry,et al.  Clinical consultations using store-and-forward telemedicine technology. , 1999, Mayo Clinic proceedings.