Reengineering Healthcare using Information and Communication Technology: Structural Equation Model for Healthcare Information Systems
Nizar Hussain M1, Suresh Subramoniam2

1Dr. Nizar Hussain M, Associate Professor, Department of Mechanical Engineering, Thangal Kunju Musaliar College of Engineering, Kollam (Kerala), India.
2Dr. Suresh Subramoniam, Associate Professor, College of Engineering, Trivandrum, Thiruvananthapuram (Kerala), India.

Manuscript received on 15 April 2016 | Revised Manuscript received on 25 April 2016 | Manuscript Published on 30 April 2016 | PP: 221-227 | Volume-5 Issue-4, April 2016 | Retrieval Number: D4560045416/16©BEIESP
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Abstract: It is claimed that reengineering healthcare using Information and Communication Technology (ICT) can bring many benefits to the healthcare organisation. Many ICT applications remain underused by healthcare professionals and healthcare organisations. Human and organisational factors have frequently been identified as the main causes of ICT implementation underuse. Therefore, it is very important to identify the Critical Success Factors (CSF) necessary for the implementation of Healthcare Information Systems (HIS). Existing models of CSF on information systems related to healthcare sector are practically less, globally, and almost nil with respect to India. Hence, the purpose of this research is to develop a conceptual model of CSF especially for HIS adoption, use and redesign in India. Such identified factors for redesign will also have international bearing as redesign possibilities discussed are mainly based on emerging technologies. The rationale of the purpose is justified by the fact that India is a leader in developing information systems, especially medical applications. Further, India is emerging as an international destination for healthcare due to the advancement in medical technology and is offering high quality health services at reduced cost.
Keywords: Information And Communications Technology, Critical Success Factors, Healthcare Information Systems, Structural Equation Model.

Scope of the Article: Healthcare Informatics