Discussion 4 Angela Brooks In reviewing the researchers’ article regarding user satisfaction, the authors conducted a survey to gather expectations for using a clinical information system (Karimia, Poo, and Tan, 2015). The researchers noted how different responsibilities are responsible for utilizing information systems for various functions.  They examined the link between user satisfaction and motivation to understand how to use the electronic medical records system.  There seems to be a link between satisfaction and the ease of use. As the article demonstrated, the success of information systems are dependent on how the users view the product.             It is important that information systems meet the needs of users. Expectations for satisfaction should partly be dependent on the training that is provided for the health information system.  If a staff is thoroughly trained on a system, it could contribute to motivation and make it easier for the staff to accept. However, if a system is not user friendly, it may make it difficult for users to be satisfied. Further, improvements to systems can also help a user’s attitude to improve and slowly reach an acceptance level.  Reference Karimia, F., Poo, D., and Tan, Y. (2015). Clinical information systems end user satisfaction: The expectations and needs congruencies effects. Journal of Biomedical Informatics, 53:342–354. Retrieved from: http://www.sciencedirect.com/science/article/pii/S1532046414002731 Reply to Thread End-User Satisfaction of Health Information Systems Lisa Quinonez The attitude of the users and their continuance to use an information systems is closely linked with their satisfaction with the system. Therefore, making investment in clinical information systems should put the end user into consideration and their satisfaction.   Cognitive framework is therefore essential to help in identifying the clinicians’ satisfaction information. Using the disconfirmation paradigm as the core of the framework is great since it helps in examining the relationship between throughput times, expectations and patient satisfaction. By using the expectations and needs congruence models and perceived performance as the basis of comparing the models helps in achieving the objective of the experiment. The response rates of the experiment was high which helps to validate the results of the experiment. The fact that it the participants were drawn from public hospitals portrays the actual situation on the ground. The survey methodology helps to empirically validate the proposed research model. To analyze the data, the partial least squares method was used. From the experiment, the results show that clinician’s satisfaction is mostly influenced by the perceived CIS performance. This is closely followed by doctor’s expectations congruence. The results of this research dispel previous findings which indicate that nurses’ expectations and expectations congruence do not show a significant effect on .

1. Discussion 4
Angela Brooks
In reviewing the researchers’ article regarding user satisfaction,
the authors conducted a survey to gather expectations for using
a clinical information system (Karimia, Poo, and Tan, 2015).
The researchers noted how different responsibilities are
responsible for utilizing information systems for various
functions. They examined the link between user satisfaction
and motivation to understand how to use the electronic medical
records system. There seems to be a link between satisfaction
and the ease of use. As the article demonstrated, the success of
information systems are dependent on how the users view the
product.
It is important that information systems meet the needs
of users. Expectations for satisfaction should partly be
dependent on the training that is provided for the health
information system. If a staff is thoroughly trained on a
system, it could contribute to motivation and make it easier for
the staff to accept. However, if a system is not user friendly, it
may make it difficult for users to be satisfied. Further,
improvements to systems can also help a user’s attitude to
improve and slowly reach an acceptance level.
Reference
Karimia, F., Poo, D., and Tan, Y. (2015). Clinical information
systems end user satisfaction: The expectations and needs
congruencies effects. Journal of Biomedical Informatics,
53:342–354. Retrieved
from: http://www.sciencedirect.com/science/article/pii/S153204
6414002731
Reply to Thread

2. End-User Satisfaction of Health Information Systems
Lisa Quinonez
The attitude of the users and their continuance to use an
information systems is closely linked with their satisfaction
with the system. Therefore, making investment in clinical
information systems should put the end user into consideration
and their satisfaction. Cognitive framework is therefore
essential to help in identifying the clinicians’ satisfaction
information. Using the disconfirmation paradigm as the core of
the framework is great since it helps in examining the
relationship between throughput times, expectations and patient
satisfaction. By using the expectations and needs congruence
models and perceived performance as the basis of comparing the
models helps in achieving the objective of the experiment.
The response rates of the experiment was high which helps to
validate the results of the experiment. The fact that it the
participants were drawn from public hospitals portrays the
actual situation on the ground. The survey methodology helps to
empirically validate the proposed research model. To analyze
the data, the partial least squares method was used. From the
experiment, the results show that clinician’s satisfaction is
mostly influenced by the perceived CIS performance. This is
closely followed by doctor’s expectations congruence. The
results of this research dispel previous findings which indicate
that nurses’ expectations and expectations congruence do not
show a significant effect on their satisfaction. The need’s
congruence however remains a significant influence on the
satisfaction of nurses.
As an end user of clinical information systems, my greatest
expectation would be to get satisfied with the system. There are
three main factors which would greatly have an impact on my
satisfaction level. They include systems quality, information
quality and service quality. If all these three factors are great,
then there is an increased likelihood of being satisfied with the

3. systems as an end user.
Reference
Karimi, F., Poo, D. C., & Tan, Y. M. (2015). Clinical
information systems end user satisfaction: the expectations and
needs congruencies effects. Journal of biomedical
informatics, 53, 342-354.
Reply to Thread
COURSE MATERIALS/BIBLIOGRAPHY
Module 1
Required Reading
Beaumont, R. (2001). Types of Health Information Systems.
Retrieved
from: http://www.floppybunny.org/robin/web/virtualclassroom/c
hap12/s2/systems1.pdf
Cortes, P. (2011). Hospital Information Systems: A Study of
Electronic Patient Records
JISTEM Journal of Information Systems Technology
Management 8 (1).
Fichman, R. (2011). The role of information systems in
healthcare: Current research and future trends. Information
Systems Research, 22 (3): 419–428. Retrieved from the Trident
University Library.
VIDEO: Improving the Usability of Health Information
Systems. Retrieved
from: https://www.youtube.com/watch?v=edJYle4pu5I
Module 2
Required Reading
Boonstra, A. (2014). Implementing electronic health records in
hospitals: A systematic literature review. BMC Health Services
Research, 14(370). Retrieved
from: http://bmchealthservres.biomedcentral.com/articles/10.11
86/1472-6963-14-370

4. El-Sappagha, S. (2013). A distributed clinical decision support
system architecture. Journal of King Saud University Computer
and Information Sciences, 26 (1) 69–78. Retrieved
from: http://www.sciencedirect.com/science/article/pii/S131915
7813000116
http://ac.els-cdn.com/S1319157813000116/1-s2.0-
S1319157813000116-main.pdf?_tid=98d2de72-211b-11e7-ba6f-
00000aacb362&acdnat=1492178987_5088972c0ecd15626af862e
154407989
Takhti, H. (2016). Impact of hospital information systems on
patient care: Nurses’ perceptions. Canadian Journal of Nursing
Informatics, 6(4). Retrieved
from: http://cjni.net/journal/?p=1796
VIDEO: Design and Impact of Health Information Systems.
Retrieved
from: http://www.youtube.com/watch?v=vQY3NziSZ2w
Module 3
Required Reading
Hung, S., Chen, C. & Wang, K. (2016). Critical success factors
for the implementation of integrated healthcare information
systems projects: An organizational fit
perspective. Communication of the Association for Information
Systems, 34 (39). Retrieved
from: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=3762&c
ontext=cais
Ngafeeson, M. (2014). Healthcare information systems
opportunities and challenges. In Mehdi Khosrow-Pour
(Ed.), Encyclopedia of information science and technology,
third edition (pps. 258-267). IGI Global. Retrieved
from: http://commons.nmu.edu/cgi/viewcontent.cgi?article=101
2&context=facwork_bookchapters
Shahmoradi, L. (2016). Integration of health information
systems to promote health. Iran Journal of Public Health. 45(8):
1096–1097. Retrieved
from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139973/
VIDEO: Healthcare Information Systems with Renee Pratt.

5. Retrieved
from: http://www.youtube.com/watch?v=thSwxHsHWig
Module 4
Required Reading
Ayatollahi, H. (2016). Confirmation of expectations and
satisfaction with hospital information systems: A nursing
perspective. Health Information Research, 22(4) 326–332.
Retrieved
from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116545/
Karimia, F. (2014). Clinical information systems end user
satisfaction: The expectations and needs congruencies
effects. Journal of Biomedical Informatics, 53:342–354.
Retrieved
from: http://www.sciencedirect.com/science/article/pii/S153204
6414002731
Kushniruk,, A. (2010). Increasing the safety of healthcare
information systems through improved procurement: Toward a
framework for selection of safe. Healthcare Quarterly, 13:53-
58. Retrieved from: http://www.longwoods.com/content/21967
VIDEO: Health Information Management at Houston
Healthcare. Retrieved
from: https://www.youtube.com/watch?v=PCAmNh-PgFQ
COURSE MATERIALS/BIBLIOGRAPHY
Module 1
Required Reading
Beaumont, R. (2001). Types of Health Information Systems.
Retrieved
from: http://www.floppybunny.org/robin/web/virtualclassroom/c
hap12/s2/systems1.pdf
Cortes, P. (2011). Hospital Information Systems: A Study of
Electronic Patient Records
JISTEM Journal of Information Systems Technology
Management 8 (1).

6. Fichman, R. (2011). The role of information systems in
healthcare: Current research and future trends. Information
Systems Research, 22 (3): 419–428. Retrieved from the Trident
University Library.
VIDEO: Improving the Usability of Health Information
Systems. Retrieved
from: https://www.youtube.com/watch?v=edJYle4pu5I
Module 2
Required Reading
Boonstra, A. (2014). Implementing electronic health records in
hospitals: A systematic literature review. BMC Health Services
Research, 14(370). Retrieved
from: http://bmchealthservres.biomedcentral.com/articles/10.11
86/1472-6963-14-370
El-Sappagha, S. (2013). A distributed clinical decision support
system architecture. Journal of King Saud University Computer
and Information Sciences, 26 (1) 69–78. Retrieved
from: http://www.sciencedirect.com/science/article/pii/S131915
7813000116
http://ac.els-cdn.com/S1319157813000116/1-s2.0-
S1319157813000116-main.pdf?_tid=98d2de72-211b-11e7-ba6f-
00000aacb362&acdnat=1492178987_5088972c0ecd15626af862e
154407989
Takhti, H. (2016). Impact of hospital information systems on
patient care: Nurses’ perceptions. Canadian Journal of Nursing
Informatics, 6(4). Retrieved
from: http://cjni.net/journal/?p=1796
VIDEO: Design and Impact of Health Information Systems.
Retrieved
from: http://www.youtube.com/watch?v=vQY3NziSZ2w
Module 3
Required Reading
Hung, S., Chen, C. & Wang, K. (2016). Critical success factors
for the implementation of integrated healthcare information
systems projects: An organizational fit
perspective. Communication of the Association for Information

7. Systems, 34 (39). Retrieved
from: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=3762&c
ontext=cais
Ngafeeson, M. (2014). Healthcare information systems
opportunities and challenges. In Mehdi Khosrow-Pour
(Ed.), Encyclopedia of information science and technology,
third edition (pps. 258-267). IGI Global. Retrieved
from: http://commons.nmu.edu/cgi/viewcontent.cgi?article=101
2&context=facwork_bookchapters
Shahmoradi, L. (2016). Integration of health information
systems to promote health. Iran Journal of Public Health. 45(8):
1096–1097. Retrieved
from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139973/
VIDEO: Healthcare Information Systems with Renee Pratt.
Retrieved
from: http://www.youtube.com/watch?v=thSwxHsHWig
Module 4
Required Reading
Ayatollahi, H. (2016). Confirmation of expectations and
satisfaction with hospital information systems: A nursing
perspective. Health Information Research, 22(4) 326–332.
Retrieved
from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116545/
Karimia, F. (2014). Clinical information systems end user
satisfaction: The expectations and needs congruencies
effects. Journal of Biomedical Informatics, 53:342–354.
Retrieved
from: http://www.sciencedirect.com/science/article/pii/S153204
6414002731
Kushniruk,, A. (2010). Increasing the safety of healthcare
information systems through improved procurement: Toward a
framework for selection of safe. Healthcare Quarterly, 13:53-
58. Retrieved from: http://www.longwoods.com/content/21967
VIDEO: Health Information Management at Houston
Healthcare. Retrieved
from: https://www.youtube.com/watch?v=PCAmNh-PgFQ