In this Discussion, determine which evaluation model would be most effective for evaluating the health information technology described in one of the scenarios below. Your Instructor will assign a specific scenario by Day 1 of this week.

• Scenario 1: You have recently provided a training program to help nurses and physicians become proficient in the use of a new bedside medication verification (BMV) system.
• Scenario 2: The Chief Medical Officer at your hospital is interested in finding out the impact of a new decision support system on the number of adverse events occurring in the past year.
• Scenario 3: You are helping with the design of a new outpatient surgery center to be built adjacent to the hospital. You are tasked with evaluating the opinions of physicians, nurses, and the general public toward this facility.

To prepare:

• Review the information on the types of evaluation models covered in this week’s Learning Resources.
• Determine which model would be most appropriate to use for evaluation in the scenario to which you were assigned.
• Consider why the viewpoint of the scenario or situation would impact the model used.
• View the scenario from a different viewpoint, and consider how a different model might be used.
• Reflect on the importance of basing an evaluation on a model.

BY DAY 3

Post which scenario (1, 2, or 3) you were assigned and two different models that could be utilized to approach the evaluation. Explain why you selected those models and how you would use them. Explain why it is important to consider the intended goal of the evaluation and the viewpoint that is selected. Finally, assess the importance of basing an evaluation on a model. Justify your response.

Helpful resources:

Kowitlawakul, Y. (2011). The Technology Acceptance Model: Predicting nurses’ intention to use telemedicine technology (eICU). Computers, Informatics, Nursing, 29(7), 411–418.

Pai, F.-Y., & Huang, K. (2011). Applying the Technology Acceptance Model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650–660.

Rippen, H. E., Pan, E. C., Russell, C., Byrne, C. M., & Swift, E. K. (2013). Organizational framework for health information technology. International Journal of Medical Informatics, 82(4), e1–e13.

Mohamed, A. H., Tawfik, H. M., Al-Jumeily, D., & Norton, L. (2011). MoHTAM: A Technology Acceptance Model for mobile health applications. Developments in E-systems Engineering (DeSE) Conference, 13–18.