Common Models in Health Informatics Evaluation Have you ever watched a movie in which the same scene was shown several times but as viewed by different individuals? Or, have you watched a detective show in which the witnesses all had differing accounts? The same can hold true for conducting an evaluation of a health information technology project. How you plan and conduct the evaluation is largely dependent on the viewpoint you assume and the perspective with which you approach the evaluation. Consider a new patient discharge protocol at a small hospital. Do you want to know how the patient feels about the process? Do you want to gather the opinions of nurses who are using this process? Perhaps you want to determine if it is saving the hospital money by freeing up bed space in a more timely fashion. Obtaining each of these viewpoints would require a different approach. Depending on the goal of your evaluation, the model and viewpoint you opt to use will likely vary. 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 tomorrow 12/13/2016 at 9pm, post a minimum of 550 words in APA format with a minimum of 3 references from the list below, which include the level one headings as numbered below: 1) Post  which scenario (1, 2, or 3) you were assigned and two different models that could be utilized to approach the evaluation. 2) Explain why you selected those models and how you would use them. 3) Explain why it is important to consider the intended goal of the evaluation and the viewpoint that is selected. 4) Finally, assess the importance of basing an evaluation on a model. Justify your response. Required Readings Technology Acceptance Model Kowitlawakul, Y. (2011). The Technology Acceptance Model: Predictin.

1. Common Models in Health Informatics Evaluation
Have you ever watched a movie in which the same scene was
shown several times but as viewed by different individuals? Or,
have you watched a detective show in which the witnesses all
had differing accounts? The same can hold true for conducting
an evaluation of a health information technology project. How
you plan and conduct the evaluation is largely dependent on the
viewpoint you assume and the perspective with which you
approach the evaluation.
Consider a new patient discharge protocol at a small hospital.
Do you want to know how the patient feels about the process?
Do you want to gather the opinions of nurses who are using this
process? Perhaps you want to determine if it is saving the
hospital money by freeing up bed space in a more timely
fashion. Obtaining each of these viewpoints would require a
different approach. Depending on the goal of your evaluation,
the model and viewpoint you opt to use will likely vary.
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:

2. 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 tomorrow 12/13/2016 at 9pm, post a minimum of 550 words
in APA format with a minimum of 3 references from the list
below, which include the level one headings as numbered
below:
1)
Post
which scenario (1, 2, or 3) you were assigned and two different
models that could be utilized to approach the evaluation.
2)
Explain why you selected those models and how you would use
them.
3)
Explain why it is important to consider the intended goal of the
evaluation and the viewpoint that is selected.
4)
Finally, assess the importance of basing an evaluation on a
model. Justify your response.
Required Readings

3. Technology Acceptance Model
Kowitlawakul, Y. (2011). The Technology Acceptance Model:
Predicting nurses’ intention to use telemedicine technology
(eICU). Computers, Informatics, Nursing, 29(7), 411–418.
Retrieved from the Walden Library databases.
Nurses encounter a variety of technological tools that are used
in their field. This article explores the technology acceptance
model and how it applies to nurses’ intention to use
telemedicine technology.
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.
Retrieved from the Walden Library databases.
This article focuses on the attempt to develop a model that will
assist nurses in mastering the use of health information
technology (HIT), thus enabling them to spend more time on
patient care and less on clerical-type duties. The authors also
studied how the use of HIT could increase patient safety.
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.
Retrieved from the Walden Library databases.
In this article, the authors highlight results of a literature

4. review on the implementation of health information technology
and the related theories and models. Based on their research, the
authors developed a framework of key areas that provides a
structure to organize and capture information on the use of
health IT.
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.
Retrieved from the Walden Library databases.
In this article, the authors highlight a model they developed to
determine how the decision to use a mobile health application is
influenced by the design of the technology, the perceived ease
of using it, and the perceived usefulness of the technology.
Diffusion of Innovations
Barnett, J., Vasileiou, K., Djemil, F., Brooks, L., & Young, T.
(2011). Understanding innovators’ experiences of barriers and
facilitators in implementation and diffusion of healthcare
service innovations: A qualitative study. BMC Health Services
Research, 11, 342.
Retrieved from the Walden Library databases
In this article, the authors describe the experiences of
innovators in the medical field and the barriers that they have
experienced in the implementation and diffusion of health care
service innovations.
Kaissi, A. (2012). “Learning” from other industries: Lessons
and challenges for health care organizations. Health Care
Manager, 31(1), 65–74.

5. Retrieved from the Walden Library databases.
In this paper, the author explores how diffusion of innovations
occurs in a variety of different industries and how these lessons
can be adapted for use in the health care industries.
Thakur, R., Hsu, S. H. Y., & Fontenot, G. (2012). Innovation in
healthcare: Issues and future trends. Journal of Business
Research, 65(4), 562–569.
Retrieved from the Walden Library databases.
The medical field is a constantly evolving and improving. This
article explores important innovations in the health care
industry while highlighting certain issues and trends that may
affect the future of the field.
Dickinson, A. D., & Scott, M. (2012). Diffusion of innovations
in the National Health Service: A case study investigating the
implementation of an electronic patient record system in a UK
secondary care trust. In UK Academy for Information Systems
(UKAIS) 17th Annual Conference, 27–28 March 2012, New
College, Oxford.
Retrieved from
http://nrl.northumbria.ac.uk/6223/2/UKAIS_2012_paperDD_MS
.pdf
This article examines a case study that focuses on the
implementation of an electronic patient record system in a UK
secondary care trust. In particular, the study highlights how new
users adopt the system.
Valente, T. W., & Rogers, E. M. (1995). The origins and

6. development of the diffusion of innovations paradigm as an
example of scientific growth. Science Communication, 16(3),
242–273.
Copyright 1995 by Sage Publications Inc. Reprinted by
permission of RISage Publications Inc. via the Copyright
Clearance Center.
In this article, Valente and Rogers explore the origins and
development of the diffusion of innovations paradigm. Through
examining the different stages, it is possible to better
understand how innovations are spread, accepted, and adopted
within a health care organization.
Disruptive Innovation
Christensen, C. M., Bohmer, R., & Kenagy, J. (2000). Will
disruptive innovations cure health care? Harvard Business
Review, 78(5), 102–112.
Retrieved from the Walden Library databases
The health care field is constantly in need of new technologies
to fill specific needs and niches. In this article, the authors
discuss the role disruptive innovations could play in the
development of the needed technologies.
Dhar, M., Griffin, M., Hollin, I., & Kachnowski, S. (2012).
Innovation spaces: Six strategies to inform health care. Health
Care Manager, 31(2), 166–177.
Retrieved from the Walden Library databases.
In this article, the authors use the disruptive innovation model
as the framework to examine how innovation occurs in health
care organizations. They determined six strategies to encourage
innovation: dedicated times, formal teams, outside ideas, idea-

7. sharing platforms, company/job goals, and incentives.
Poll, W. (2011). Derision is the sweet spot of adoption:
Unleashing disruptive growth.
Hospital Topics, 89(1), 23–25.
Retrieved from the Walden Library databases.
It is common that many people look at change and new
technologies with a hint of disdain or distrust. The author of
this article discusses how new ideas and disruptive innovations
can be effectively presented to a somewhat hesitant
organizations.
Sociotechnical Theory Models
Ancker, J. S., Kern, L. M., Abramson, E., & Kaushal, R. (2012).
The Triangle Model for evaluating the effect of health
information technology on healthcare quality and safety.
Journal of American Medical Informatics Associations, 19(1),
61–65.
Retrieved from the Walden Library databases.
The authors of this article explain the Triangle Model for
designing studies on the safety and quality outcomes of health
information technology projects. The article focuses on the
predictors of the model, including attributes of the technology
in question, the technology provider, the organizational setting,
and the population involved.
Currie, L., Sheehan, B., Graham, P., Stetson, P., Cato, K., &
Wilcox, A. (2009). Sociotechnical analysis of a neonatal ICU.
Studies In Health Technology and Informatics, (146), 258–262.
Retrieved from the Walden Library databases.

8. In this article, the authors provide a brief overview of
sociotechnical theory. The authors also describe the results of a
sociotechnical analysis of a neonatal intensive care unit.
Molleman, E., & Broekhuis, M. (2001). Sociotechnical systems:
Towards an organizational learning approach. Journal of
Engineering and Technology Management, 18(3), 271–294.
Retrieved from the Walden Library databases.
The authors of this article explore the application of
sociotechnical systems (STS) theory for designing work
processes to improve organizational performance. The authors
examine the application of STS with four organizational
performance indicators: price, quality, flexibility, and
innovation.
Scott‐Findlay, S., & Estabrooks, C. A. (2006). Mapping the
organizational culture research in nursing: A literature review.
Journal of Advanced Nursing, 56(5), 498–513.
Retrieved from the Walden Library databases.
This article provides an empirical review of the nursing
literature on organizational culture and its influence on
practitioners.