NU 800 CPOE
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University of the People *
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HUMAN RESO
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Information Systems
Date
Nov 24, 2024
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docx
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5
Uploaded by DeanMetalAlligator15
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NU 800
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Project Initiation of CPOE
The project initiation of Computerized Physician Order Entry (CPOE) will involve
several vital steps to ensure a successful implementation. It will begin with a thorough
analysis of the existing paper-based order entry system and identify areas for improvement.
The project team will comprise stakeholders from various departments, including physicians,
nurses, IT specialists, and administrators. Their expertise and perspectives will be crucial in
understanding the requirements and challenges of implementing CPOE.
A pilot test will be conducted in a selected department or unit to mitigate risks and
ensure a smooth transition. This will allow a smaller-scale implementation to identify
potential issues and gather end-user feedback. The pilot test will provide valuable insights
into the usability and functionality of the CPOE system and will allow for necessary
adjustments before a full-scale rollout.
The CPOE project aims to transform the organization's order entry system by
implementing an electronic solution to improve accuracy, efficiency, and patient safety. The
project will comprehensively evaluate various CPOE systems while considering factors such
as vendor reputation, system features, integration capabilities, and cost (Adler-Milstein et al.,
2020). The chosen CPOE system will be configured to meet the organization's specific needs.
This will involve customizing order sets, drug databases, clinical decision support rules, and
user interfaces to ensure seamless integration into existing workflows.
Extensive training and education programs will be developed to familiarize healthcare
professionals with the CPOE system. The CPOE system will be gradually rolled out across
various departments and units. This phased approach will allow for controlled
implementation, minimizing disruptions to daily operations and allowing for timely
troubleshooting and support (Vekho et al., 2019).
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A proactive plan will be developed to address potential impediments during the
project process. This plan will involve continuous communication and collaboration to ensure
stakeholder involvement and support throughout the project (Sieja et al., 2019). Regular
meetings and feedback sessions will be conducted to address any concerns or issues
promptly. A risk assessment will be performed to identify potential obstacles and develop
mitigation strategies. Contingency plans will be created to address technical difficulties,
workflow disruptions, or any other challenges that might arise.
The specific outcome evaluation process will involve assessing the impact of CPOE
implementation on various aspects, such as patient safety, medication errors, order turnaround
time, and overall workflow efficiency. The evaluation process will include collecting relevant
data before and after the CPOE implementation. This data will encompass vital metrics,
including medication error rates, order entry times, and clinical outcomes (Adler-Milstein et
al., 2020). The collected data will be analyzed and compared to establish a baseline for
performance metrics. The post-implementation data will then be analyzed to determine the
impact of CPOE on the identified outcome measures.
A comprehensive plan will be devised to secure outcome information and data
storage. The plan will include Electronic Health Record (EHR) Integration, where outcome
data will be integrated into the organization's EHR system, allowing centralized storage and
easy accessibility (Vekho et al., 2019). Stringent security protocols will be implemented to
safeguard the stored data. This will include encryption, access controls, and regular data
backups. The storage plan will adhere to relevant privacy regulations and guidelines to
protect patient information and ensure compliance with legal requirements.
The data analysis process will be designed to be ongoing, with periodic intervals for
evaluation. This approach will allow for continuous monitoring of performance and timely
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identification of any emerging issues (Sinsky et al., 2020). The plan will include regular data
review where data collected from the CPOE system will be periodically reviewed to assess
performance indicators, identify trends, and address concerns.
The plan for project termination will include several essential steps to ensure a
smooth conclusion. The project team will facilitate the transfer of knowledge and expertise to
key organizational stakeholders. This will include training designated personnel for ongoing
system maintenance, troubleshooting, and user support. A comprehensive documentation
process will be implemented to capture project details, lessons learned, and any remaining
tasks or recommendations. This documentation will be a valuable resource for future
reference or potential system upgrades. A final evaluation will be conducted to assess the
project's overall success. Feedback from end-users and stakeholders will be gathered to
identify areas of improvement and guide future initiatives.
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References
Adler-Milstein, J., Zhao, W., Willard-Grace, R., Knox, M., & Grumbach, K. (2020).
Electronic health records and burnout: time spent on the electronic health record after
hours and message volume associated with exhaustion but not with cynicism among
primary care clinicians.
Journal of the American Medical Informatics
Association
,
27
(4), 531-538.
Sieja, A., Markley, K., Pell, J., Gonzalez, C., Redig, B., Kneeland, P., & Lin, C. T. (2019,
May). Optimization sprints: improving clinician satisfaction and teamwork by rapidly
reducing electronic health record burden. In
Mayo Clinic Proceedings
(Vol. 94, No. 5,
pp. 793-802). Elsevier.
Sinsky, C. A., Rule, A., Cohen, G., Arndt, B. G., Shanafelt, T. D., Sharp, C. D., ... & Hribar,
M. (2020). Metrics for assessing physician activity using electronic health record log
data.
Journal of the American Medical Informatics Association
,
27
(4), 639-643.
Vehko, T., Hyppönen, H., Puttonen, S., Kujala, S., Ketola, E., Tuukkanen, J., ... &
Heponiemi, T. (2019). Experienced time pressure and stress: electronic health records
usability and information technology competence play a role.
BMC medical
informatics and decision making
,
19
, 1-9.