NU 800 CPOE

docx

School

University of the People *

*We aren’t endorsed by this school

Course

HUMAN RESO

Subject

Information Systems

Date

Nov 24, 2024

Type

docx

Pages

5

Uploaded by DeanMetalAlligator15

Report
1 NU 800 Student’s Name Professor’s Name Course Institution Date
2 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).
3 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
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help
4 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.
5 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.