As with any new system, the implementation of new informatics systems requires significant planning. There are several strategies that are used for initiating new information technology projects. Porter’s competitive advantage is an example of a model that can be used for this type of planning, and incorporates information about profitability from the treat of new entrants, the treat of substitute products, the bargaining power of suppliers, the bargaining power of buyers, and the intensity of the rivalry among existing competitors (Khan et al., 2014).

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The selection process for choosing new informatics systems is complex and dependent on the needs of the organization. Some elements currently considered in the selection process are overall cost of the system, running costs, integration with existing systems, interoperability with existing systems, and usability (Khan et al., 2014). These should all be taken into consideration when selecting a new informatics system.

Interfacing, integration, and interoperability are all important considerations to make. Interfacing can refer to the connection between two different types of electronic equipment (e.g. two computers on a network) or between a human and a system (Liu et al., 2014). This is important to consider because if a system does not work for those using it, it cannot be implemented safely in a health context. Integration refers to the ability of a new information technology project to integrate with existing informatics systems in place within the organization. Interoperability refers to the ability of a technology system to have an interface that works with other projects or systems, both now and in the future (Weaver et al., 2016). Interoperability is a central characteristic of a successful informatics system because these systems do not work alone, but rather as part of a network of existing technologies that are already in place within an organization (Weaver et al., 2016).

    References
  • Khan, W. A., Khattak, A. M., Hussain, M., Amin, M. B., Afzal, M., Nugent, C., & Lee, S. (2014). An adaptive semantic based mediation system for data interoperability among health information systems. Journal of Medical Systems, 38(8), 28.
  • Liu, S., Li, W., & Liu, K. (2014). Pragmatic oriented data interoperability for smart healthcare information systems. In Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on (pp. 811–818). IEEE. Retrieved from http://ieeexplore.ieee.org/abstract/document/6846534/
  • Weaver, C. A., Ball, M. J., Kim, G. R., Kiel, J. M., & others. (2016). Healthcare information management systems. Cham: Springer International Publishing. Retrieved from http://link.springer.com/content/pdf/10.1007/978-3-319-20765-0.pdf