1. A Comparison of Key Models in Health Informatics
As part of this course, you will be developing an evaluation
plan based on an appropriate model. For this Assignment, you
will examine in depth the four models introduced in this week's
Learning Resources (
Technology Acceptance, Model Diffusion of Innovations,
Disruptive Innovation, Sociotechnical Theory Models
).
By increasing your familiarity with these key models, you will
more easily recognize which would be most appropriate for the
evaluation you decide to perform.
To prepare:
Review the four research models covered in this week’s
Learning Resources.
Consider the key points of each and when they would be the
most appropriate choice for an evaluation.
To complete
this Assignment:
By Thursday 12/22/2016 by 5pm,
1)
Create graphic representations of the four models, including
descriptions of each overall model, key components, who was
involved in their development, key ways they have been used,
and potential uses in health informatics.
2)
These representations will be for your use in your upcoming
course project, so the greater the detail, the more useful these
representations will be to you.
3)
Potential formats could include but are not limited to tables,
mind maps, Venn diagrams, or concept maps.
P.S. include an introduction and a summary. The introduction

2. must end with a purpose statement (e.g. “The purpose of this
paper is to …” ) in APA format.
Use the references listed in the instructions area for this
assignment.
Thank you!
Required Readings
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.

3. 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
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

4. 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.
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

5. secondary care trust. In particular, the study highlights how new
users adopt the system.
Valente, T. W., & Rogers, E. M. (1995). The origins and
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.

6. 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-
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.

7. 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.
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.
As part of this course, you will be developing an evaluation
plan based on an appropriate model. For this Assignment, you
will examine in depth the four models introduced in this week's

8. Learning Resources (
Technology Acceptance, Model Diffusion of Innovations,
Disruptive Innovation, Sociotechnical Theory Models
).
By increasing your familiarity with these key models, you will
more easily recognize which would be most appropriate for the
evaluation you decide to perform.
To prepare:
Review the four research models covered in this week’s
Learning Resources.
Consider the key points of each and when they would be the
most appropriate choice for an evaluation.
To complete
this Assignment:
By Thursday 12/22/2016 by 5pm,
1)
Create graphic representations of the four models, including
descriptions of each overall model, key components, who was
involved in their development, key ways they have been used,
and potential uses in health informatics.
2)
These representations will be for your use in your upcoming
course project, so the greater the detail, the more useful these
representations will be to you.
3)
Potential formats could include but are not limited to tables,
mind maps, Venn diagrams, or concept maps.
P.S. include an introduction and a summary. The introduction
must end with a purpose statement (e.g. “The purpose of this
paper is to …” ) in APA format.
Use the references listed in the instructions area for this
assignment.
Thank you!

9. Required Readings
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.

10. Retrieved from the Walden Library databases.
In this article, the authors highlight results of a literature
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.

11. Kaissi, A. (2012). “Learning” from other industries: Lessons
and challenges for health care organizations. Health Care
Manager, 31(1), 65–74.
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

12. 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-

13. 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.

14. 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.