IT Value Realization: An Analysis of Electronic Health Record Systems

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This report provides an analysis of IT value realization, specifically focusing on Electronic Health Records (EHRs). It begins with an introduction to EHRs as software applications used in clinical practices for maintaining patient and organizational data. The report then presents a detailed data collection section, comparing various EHR systems based on characteristics such as ownership, pricing, years in business, reporting capabilities, employee size, and workflow design. Several EHR vendors are examined, including McKesson, DrChrono, Practice, EClinicalworks, Allscripts, WRS Health Care, and Practice Fusion. The report also references multiple sources to support the information presented. This assignment offers valuable insights into the features, functionalities, and comparative analysis of EHR systems.
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Running Head: IT value realization 0
IT value realization
Report
Student name
4/20/2019
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IT value realization 1
Data Collection
Electronic Health Records (EHRs) is a software application that provides an environment to
maintain different works of an organziation in their clinical practices. It is beneficial for doctors as well as
patients to maintain their record in a proper way.
Characteristics 1 2 3 4 5 6 7
Ownership Doctor Doctor Doctor Doctor Doctor Doctor Doctor
EHR McKesson
Practice
Partner
DrChrono Practice
Fusion
EClinicalworks Allscripts WRS Health Care cloud
Pricing $249 per
month per
user
$199 per
month per
user
$99 per
month
per user
$449 per
month per
user
$299 per
month
per user
$274 per
month per
user
$349 per
provider
per month
Years in business 15-20 10-15 6-10 10-15 6-10 6-10 15-20
Reporting and
analysis
Yes Yes Yes Yes Yes Yes Yes
Years since
implementation
8 7 2 6 5 9 4
Employees 11-15 11-15 <=10 11-15 <=10 11-15 16-20
Clinicians 4-6 4-6 1-3 4-6 4-6 1-3 1-3
Work flow re-
design
Yes No Yes In process No Yes No
In-house server Yes Yes No Yes No Yes Yes
First EHR Yes Yes Yes Yes Yes Yes No
E-Prescribing Yes Yes Yes Yes Yes Yes Yes
Cloud-based
Services
No Yes Yes Yes Yes Yes Yes
iOS Support No Yes Yes Yes Yes Yes Yes
HIPPA Yes Yes Yes Yes No Yes Yes
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IT value realization 2
Billing
Management
Yes Yes Yes Yes No Yes Yes
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IT value realization 3
References
Ferrill , P. (20118, September 1). The Best Electronic Medical Record (EMR) Managers of 2018. Retrieved
from au.pcmag.com: https://au.pcmag.com/cloud-services-1/58377/the-best-electronic-
medical-record-emr-managers
Uzialko, A. C. (2019, January 2). The Best Electronic Medical Record (EMR) Software of 2019. Retrieved
from business.com: https://www.business.com/categories/best-electronic-medical-records-
software/
Angst, C., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy
concerns: The elaboration likelihood model and individual persuasion. MIS quarterly, 32(2), 339-
370.
Blumenthal, D., & Tavenner, M. (2010). The “meaningful use” regulation for electronic health records.
New England Journal of Medicine, 363(6), 501-504.
curemd.com. (2019). Top EHR Software Vendors of 2019. Retrieved from curemd.com:
https://www.curemd.com/top-ehr-vendors/
Fernández-Alemán, J. L., Señor, I. C., Lozoya, P., & Toval, A. (2013). Security and privacy in electronic
health records: A systematic literature review. Journal of biomedical informatics, 46(3), 541-562.
Ferrill, P. (2018). CareCloud. Retrieved from au.pcmag.com: https://au.pcmag.com/cloud-services-
1/58384/carecloud
Ferrill, P. (2018). DrChrono. Retrieved from au.pcmag.com: https://au.pcmag.com/cloud-services-
1/58379/drchrono
Häyrinen, K., Saranto, K., & Nykänen, P. (2008). Definition, structure, content, use and impacts of
electronic health records: a review of the research literature. International journal of medical
informatics, 77(5), 291-304.
Howard, J., Clark, E. C., Friedman, A., Crosson, J. C., Pellerano, M., Crabtree, B. F., . . . Cohen, D. J. (2013).
Electronic health record impact on work burden in small, unaffiliated, community-based primary
care practices. Journal of general internal medicine, 28(1), 107-113.
Hsiao, C.-J., & Hing, E. (2012). Use and characteristics of electronic health record systems among office-
based physician practices: United States, 2001-2012.
Jensen, P., Jensen, L., & Brunak, S. (2012). Mining electronic health records: towards better research
applications and clinical care. Nature Reviews Genetics, 13(6), 395.
Menachemi, N., & Collum, T. H. (2011). Benefits and drawbacks of electronic health record systems. Risk
management and healthcare policy, 47.
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IT value realization 4
Palvia, P., Lowe, K., Nemati, H. R., & Jacks, T. (2012). Information Technology Issues in Healthcare:
Hospital CEO and CIO Perspectives. CAIS, 30(9), 293-312.
Romano, M., & Stafford, R. S. (2011). Electronic health records and clinical decision support systems:
impact on national ambulatory care quality. Archives of internal medicine, 171(10), 897-903.
softwareadvice.com. (2019, April 14). Medical Software. Retrieved from softwareadvice.com:
https://www.softwareadvice.com/au/medical/?avg_rating=4&sort=reviewcount
Weiskopf, N. G., & Weng, C. (2013). Methods and dimensions of electronic health record data quality
assessment: enabling reuse for clinical research. Journal of the American Medical Informatics
Association, 20(1), 144-151.
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