NGR 5172 Deliverable 2 Electronic Prescribing System Proposal

NGR 5172 Deliverable 2 Electronic Prescribing System Proposal

 

Student Name

Rasmussen University

NGR5172 Deliverable 2

Professor Name

Date

Slide 1

• Title Page

Good afternoon, everyone. It is a pleasure to have you here in this meeting of the innovation committee today. My name is Jeremy, and I am happy to introduce our proposal to the implementation process of an electronic prescribing system- or the e-prescribing software- to ensure the safety of patients and better medication management throughout our facility. This project has been the result of a recent medication error, when a handwritten order was misinterpreted and taken to be Oramorph, but it was wrong and caused severe harm to a patient.

Cases such as this point to the weaknesses of paper-based prescribing and confirm the extreme urgency of the need to have a safer and more reliable system. The current presentation will describe the estimated outcomes of e-prescribing on patient safety, provide a cost-benefit analysis, and offer a viable roadmap for the integration, policy changes, evaluation, and sustainability. I will conclude by the end, giving the reasons as to why this particular system would be the most suitable solution for our organization. I intend to showcase how this innovation can support our overall mission of improving care delivery in terms of quality, safety, and efficiency. 

Slide 2

• The Problem: Medication Errors in Paper Prescribing

The problem of medication errors continues to be one of the most serious patient safety threats in healthcare. In a recent case, an error in the understanding of MSO4 by MgSO4 led to the provision of the wrong medication, that is, the administration of morphine patients with serious respiratory issues, post-surgery (Gates et al., 2020). This mistake could have been completely avoided. Such problems can be very sensitive when using paper-based prescribing systems due to the inability to read the handwriting, use ambiguous abbreviations, and receive incomplete information.

According to the estimates of the Institute of Medicine, more than 1.5 million avoidable medication errors occur every year in the United States, many of them paper based. These mistakes not only risk patients but also increase liability expenses, hospitalization period, and institutional risks. More so, manual systems do not have automatic notifications on allergies or drug-drug interactions, which are critical measures. Pharmacists and nurses are usually the last line of defense, and human verification would not be able to cover system-level failures. Thus, implementing an electronic prescribing system is not only an upgrade in the field of technology but a patient safety necessity.

Slide 3:

• Proposed Solution: Electronic Prescribing System

The solution proposed is a digital system that allows clinicians to send, update, and order prescriptions to pharmacies through a comprehensive electronic prescribing (e-prescribing) system. The system also has inbuilt clinical decision support tools that automatically check drug interactions, allergies, and pre-dose errors before the medication order is finalized. This immediate feedback loop will aid in the avoidance of the nature of misinterpretations that occurred recently in our incident. Besides that, the e-prescribing system will also ensure that orders are legible, clear-cut, and standardized- completely doing away with mistakes made by handwriting.

Pharmacy communication is also improved and more efficient, and the turnaround time of dispensing medication is minimized. Compliance-wise, all prescription entries are monitored, time-stamped, and assigned to a particular clinician, thereby providing a solid audit trail that facilitates accountability and quality control (Aldughayfiq & Sampalli, 2020). In addition to safety, this system aids efficiency, decreases administrative tasks, and complies with national patient safety objectives, including those advanced by The Joint Commission and the Centers of Medicare and Medicaid Services (CMS).

Slide 4: 

• Impact on Patient Safety

The use of electronic prescribing systems has been proven to be very useful in enhancing patient safety in healthcare systems. Research indicates that e-prescribing can reduce medication errors by up to 85% due to the elimination of handwriting errors and introduction of automated warning systems. The system will automatically raise red flags on the allergies recorded by the patient, so that, in the example in this case, magnesium is flagged, and the prescriber is notified of this before a dangerous drug is ordered. This would have shielded our sentinel event.

In addition, built-in drug-interaction warnings and suggestions reduce the chances of the occurrence of adverse drug interactions. There is consistency because the names of medications and doses are standardized, thus making communication and continuity of care easier and more effective among care teams (Alshahrani et al., 2020). Moreover, electronic records improve transparency; all medication orders can be tracked back from the time of implementation to the time of administration.

The direct effect of reduced complications, acceleration, and enhanced confidence in the security of their treatment are positive results in the patients. This system enables clinicians to concentrate on patient care and not correct preventable errors by performing administrative correction of these errors, which is achieved by employing evidence-based decision support and automation.

Slide 5: 

• Cost and Benefit Analysis

Though the implementation of an electronic prescribing system requires an initial financial investment, the long-run advantages are clearer than the expenses. The initial costs involve software licensing costs, updating the computer systems, and offering extensive training to both clinical and administrative staff (Karunaratne et al., 2025). The maintenance costs of the system, technical support, and the periodic update of the software are among the ongoing operational costs. Nonetheless, the payback (ROI) is high. Hospitals that have switched to e-prescribing have been reporting annual savings of 400,000-600000 in terms of decreased medication errors, malpractice claims, and efficiency in the workflow.

Even a small number of serious adverse drug events can be prevented, which will cover the cost of implementation in two to three years. Also, e-prescribing increases the accuracy of reimbursements as it reduces the number of documentation errors, which is beneficial to financial performance. In addition to the financial profits, the non-monetary advantages (patient confidence, provider satisfaction, and fewer risks) improve the overall image of the facility. Hence, this system can be regarded as an investment in patient safety and organizational sustainability.

Slide 6:

• Integration Plan

The key to successful implementation is the presence of a structured integration plan. We will suggest a step-by-step solution, with the most risk departments being surgery, ICU, and emergency services. This staged implementation will enable the team to detect and solve technical or workflow problems in time. All prescribers, nurses, and pharmacists will be required to be trained and competencies validated to be proficient before the launch of the system. Medication order, verification, and documentation policies and procedures will be updated to match the digital prescribing processes (Janet Froulund Jensen et al., 2023).

The IT, pharmacies, and nursing departments will be required to collaborate to guarantee a smooth flow of data and reliability of the system. A pilot period of 6 months will enable the review of actual performance, and amendments can be made before the scope of facility-wide implementation. Constant feedback loops, help desk, and regular staff briefing will be part of the communication plans. This cautious and encompassing process of integration will create acceptance and long-term adoption.

Slide 7:

• Policy Updates

The implementation of the e-prescribing system will not be successful without the modernization of the policies to facilitate a new digital workflow. To start with, the facility should officially abolish handwritten medication orders and instead implement compulsory electronic orders in all settings. A set of accepted lists of abbreviations and medication names will be imposed to prevent ambiguity. It will also be enforced to verify allergies and possible drug interactions in real-time prior to a prescription being issued (Temitope Ibrahim Amosa et al., 2023).

This is to ensure that the safety features of the system are put into use. Data handling, security, and interoperability will be informed by compliance with the national standards, such as HIPAA privacy requirements and CMS e-prescribing requirements. Also, there will be a clear policy for the escalation of the system outage or technical failures, without jeopardizing the safety of the patients. Such changes in policies will not only streamline the practice of prescribing but also create a culture of responsibility and accuracy in the organization.

Slide 8: 

• Evaluation Plan

The assessment will be done based on measurable and qualitative results to measure the effectiveness of the system. Such key performance indicators as the decrease in the rate of medication errors, user satisfaction, and better turnaround time of prescription processes will be included. Pre-implementation data of the existing paper-based system will be compared with post-implementation data at 3, 6, and 12 months (de Souza et al., 2024). The compliance will be evaluated through quarterly audits, recurring issues will be noted, and alerts and safety checks should also work as needed.

The ease of use, satisfaction, and workflow efficiency are to be measured by user feedback surveys. The assessment system will be based on a continuous performance improvement (CPI) framework and will promote continuous improvements to the systems, which will rely on the insights that are grounded in the data. The results will be provided to leadership every quarter, and recommendations may be to continue training or update software or change policies. The aim is to make sure that the system is not only safe but also safe beyond the safety and efficiency standards.

Slide 9: 

• Sustainability Plan

The advantages of e-prescribing need constant dedication and management. Constant learning and re-training will ensure that employees are always competent since new features or updates will be implemented. Regular updates to the system and software will ensure that the platform remains safe, effective, and in line with the changing healthcare standards. The technical problems will be handled by the dedicated IT support team, and clinical champions will be in the nursing, pharmacy, and medicine areas to ensure adherence and promote the needs of end users (Apostolopoulos et al., 2023).

In the long term, the inclusion in the larger electronic health record (EHR) and telehealth systems will establish a single digital ecosystem that will contribute to the continuation of care and sharing of data. Accountability will be ensured by conducting regular safety reviews and performance audits. Such a long-term sustainability plan will mean the system will be changed in line with the development of our organization and technology.

Slide 10: 

• Conclusion

To sum up, the introduction of an electronic prescribing system is a move in the right direction towards increased patient safety, clinical effectiveness, and organizational quality. This system will remove the grey box nature of handwritten orders, implement real-time alerting of allergies and drug interactions, and promote standardization of workflows, which will address the actual causes of our recent adverse event. The financial side of the investment will bring quantifiable savings in terms of lessening the mistakes and enhancing efficiency, which will be a great payoff in several years.

The system is operational and fits easily with our current infrastructure and would grow with other future health technology efforts. It also maintains adherence to the national safety and data standards, which places our facility among the leaders of digital healthcare innovation. Above all, it will strengthen our belief in providing high-quality and safe patient-centered care. It is on these bases that I highly suggest this electronic prescribing system as the best option for our organization. I would like to thank you and your support in the development of patient safety.

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References for NGR 5172 Deliverable 2 Electronic Prescribing System Proposal

Aldughayfiq, B., & Sampalli, S. (2020). OMICS: A Journal of Integrative Biology, 25(2). https://doi.org/10.1089/omi.2020.0085 

Alshahrani, F., Marriott, J. F., & Cox, A. R. (2020). A qualitative study of prescribing errors among multi-professional prescribers within an e-prescribing system. International Journal of Clinical Pharmacy, 43(4), 884–892. https://doi.org/10.1007/s11096-020-01192-0 

Just transition policies, power plant workers and green entrepreneurs in Greece, Cyprus and Bulgaria: Can education and retraining meet the challenge? Sustainability, 15(23), 16307. https://doi.org/10.3390/su152316307 

De Souza, J. F. F., Fernandes, B. D., Rotta, I., Visacri, M. B., & de Mendonça Lima, T. (2024). Key performance indicators for pharmaceutical services: A systematic review. Exploratory Research in Clinical and Social Pharmacy, 14, 100441. https://doi.org/10.1016/j.rcsop.2024.100441 

Janet Froulund Jensen, Ramos, J., Marie‐Louise Ørom, Naver, K. B., Shiv, L., Gitte Bunkenborg, Anne Marie Kodal, & Ulrik Skram. (2023). Improving patients’ intensive care admission through multidisciplinary simulation‐based crisis resource management: A qualitative study. Journal of Clinical Nursing, 32(19-20). https://doi.org/10.1111/jocn.16821 

Karunaratne, T., Ikenna Reginald Ajiero, Joseph, R., Farr, E., & Poorang Piroozfar. (2025). Evaluating the economic impact of digital twinning in the AEC industry: A systematic review. Buildings, 15(14), 2583–2583. https://doi.org/10.3390/buildings15142583 

Temitope Ibrahim Amosa, Singh, R., Sebastian, P., Ismail, I., Ibrahim, O., & Ayinla, S. L. (2023). Clinical errors from acronym use in electronic health record: A review of NLP-based disambiguation techniques. IEEE Access, 11, 59297–59316. https://doi.org/10.1109/access.2023.3284682

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