Received and Perceived Status of Health Management Information System (HMIS) Software: A Structural Equation Model (SEM) Approach
Keywords:Information Technology, Technology Acceptance Model, Employees’ State Insurance Corporation, Perceived Usefulness and Perceived Ease of Use.
More thansupply the demand for health care usually determines the design of public health services. This is
more so when technological developments, including that of information and communication technologies,
pierce through the process of utilization of any service by the public. Although prior research papers have
focused on the factors that impact on the adoptionof information technology, there are limited empirical
research works that simultaneouslycapture technology factors (TAM, TAM2) and end-user development
specific factors (perceived technology usage and intention to recommend) helping healthcare professionals
to adopt Health Management Information System (HMIS) software in the healthcare environment. To fill this
gap, the present paper used the Technology Acceptance Model (TAM), the extended TAM model (TAM2)
and identified the important determinants of user acceptance perceived risk and trust. This is specifically
undertaken in order to describe ESIChealthcare professionals behavioral intention to adopt HMIS software
services. The study was conducted in the Employees’ State Insurance Corporation (ESIC) main hospital
and dispensaries in the Tirunelveli sub-region. The required data were collected from 171 ESIC healthcare
professionals in the Tirunelveli sub-region. AStructural Equation Model (SEM) approach was used.
Convergence anddivergence with earlier findings were found, confirming that Perceived Usefulness (PU),
Perceived Ease of Use (PEOU), social influence, facilitating conditions and training hadsignificant influence
on the intention of healthcare professionals to adopt HMIS software. The study provideda basis for further
refinement of technology adoption model.Improvingperceived usefulness factor (perceived long-term
usefulness) may turn healthcare professionals towards adoption of HMIS
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