Issues of the adoption of HIT related standards at the decision-making stage of six tertiary healthcare organisations in Saudi Arabia

Due to interoperability barriers between clinical information systems, healthcare organisations are facing potential limitations with regard to acquiring the benefits such systems offer; in particular, in terms of reducing the cost of medical services. However, to achieve the level of interoperability required to reduce these problems, a high degree of consensus is required regarding health data standards. Although such standards essentially constitute a solution to the interoperability barriers mentioned above, the level of adoption of these standards remains frustratingly low. One reason for this is that health data standards are an authoritative field in which marketplace mechanisms do not work owing to the fact that health data standards developed for a particular market cannot, in general, be applied in other markets without modification. Many countries have launched national initiatives to develop and promote national health data standards but, although certain authors have mapped the landscape of the standardisation process for health data in some countries, these studies have failed to explain why the healthcare organisations seem unwilling to adopt those standards. In addressing this gap in the literature, a conceptual model of the adoption process of HIT related standards at the decision-making stage in healthcare organisations is proposed in this research. This model was based on two predominant theories regarding IT related standards in the IS field: Rogers paradigm (1995) and the economics of standards theory. In addition, the twenty one constructs of this model resulted from a comprehensive set of factors derived from the related literature; these were then grouped in accordance with the Technology-Organisation Environment (TOE), a well-known taxonomy within innovation adoption studies in the IS field. Moving from a conceptual to an empirical position, an interpretive, exploratory, multiple-case study methodology was conducted in Saudi Arabia to examine the proposed model. The empirical qualitative evidence gained necessitated some revision to be made to the proposed model. One factor was abandoned, four were modified and eight new factors were added. This consistent empirical model makes a novel contribution at two levels. First, with regard to the body of knowledge in the IS area, this model offers an in-depth understanding of the adoption process of HIT related standards which the literature still lacks. It also examines the applicability of IS theories in a new area which allows others to relate their experiences to those reported. Secondly, this model can be used by decision makers in the healthcare sector, particularly those in developing countries, as a guideline while planning for the adoption of health data standards.