NURS FPX 8022 Assessment 2 SAFER Guides and Evaluating Technology Usage

NURS FPX 8022 Assessment 2

SAFER Guides and Evaluating Technology Usage

Student name

NURS-FPX8022

Capella University

Professor Name

Submission Date

SAFER Guides and Evaluating Technology Usage

• Slide 1:

Hi, I am _________, and today I would like to discuss the implementation of predictive analytics into the Epic electronic health record (EHR) system at Massachusetts General Hospital (MGH), which will lead to improved patient safety, reduced medication errors, and increased Leapfrog and Medicare Compare scores.

• Slide 2:

Of particular importance are the rates of drug errors, admission backlogs due to infections, and gaps in real-time monitoring. The issue will be assessed in terms of workflow inefficiencies and safety vulnerabilities, and safety assurance factors of EHR resilience (SAFER) guidelines will be aligned with the approach. This is to allow more clinical decisions and provide credibility to health IT while protecting care (Dixon et al., 2024). In addition, technology could lead to the minimization of adverse events by standardizing the processes and increasing predictive power. Finally, the SAFER Guides (Sittig et al., 2025) on the maximization of BCMA, the minimization of alert fatigue, and the maximization of integration within clinical teams are discussed and implemented in this engine. I will critically discuss the strengths, risk mitigation, and sustainable technology-based patient safety improvements that the SAFER guides recognize during the presentation.

Proposed Technology/Informatics Implementation

• Slide 3:

EPICS PROPOSAL: This practice would extend the use of predictive analytics to the Epic EHR system for the purpose of supporting patient safety and quality. Predictive analytics will use admission data, lab results, comorbidities, and real-time clinical documentation to produce automated fall risk scores, infection risk scores, and medication-related safety event risk scores (Chishtie et al., 2023). The scores will actively raise appropriate care plan alerts to the nursing staff and provider pharmacy alerts. The strategy specifically focuses on the workflow gaps in the present system, in which risk identification is reactive, relies on manual testing, and is frequently delayed. “We will reduce care planning inefficiencies, improve interdisciplinary communication, and help prevent unnecessary safety events through a redesigned workflow with real-time predictive insights into Epic,” says Mohammed Chishtie, MD, assistant professor of healthcare and Cubism AI advisor. In addition, incorporating 24-hour updated dashboards of unit managers assists organizational benchmarking against Leapfrog and Medicare Compare quality indicators, thereby facilitating continuous improvement (LeapFrog, n.d). Epic EHR implementation in MGH ensures a smooth workflow and meets both performance enhancement targets and safety standards.

SAFER Guides Findings: Areas of Strength

• Slide 4:

The SAFER Guides state that there are various areas where the healthcare environment is currently doing well regarding the suggested informatics solution. Contingency planning, system interfaces, and availability of clinical decision support were evaluated fully in all areas. EHR already boasts a good uptime reliability, medication administration with a built-in barcode tech, and interdepartmental secure communication (Syrowatka et al. 2023). The strengths can help offer a stable platform for applying predictive analytics without influencing the performance or data protection of the system (Owens et al., 2020). Further, there exist robust governance frameworks and multidisciplinary supervision to facilitate change management that resonates with SAFER principles of leadership participation and ongoing observation.

SAFER Guides Findings: Areas of Risk

• Slide 5:

Despite the strengths, the SAFER Guide evaluation also revealed risks that will need to be considered to implement the project safely and effectively. The alert optimization, user training, and workflow integration were rated as not implemented or partially implemented in some areas. The EHR in illustration causes several clinical alerts. However, many of these alerts are not needed and contribute to provider alert fatigue, which can cause one to overlook high-severity alerts (Chishtie et al., 2023). On the same note, predictive analytics will also eliminate the need to train the entire staff to correctly interpret risk scores and integrate them into care planning, which remains a fully standardized process between units (Harbi et al., 2024). The other critical risk is that, unless workflow alignment is done with care, predictive alerts can result in duplication of existing assessments or burden clinical staff, making it quite likely that they will resist this change (Shan et al., 2023). The risks are indicative of the value of a designed rollout that is expansively educative, experimental, and feedback-intensive.

Reflection on Using the SAFER Guides

• Slide 6:

The SAFER Guides presented a coherent framework to assess the strengths and weaknesses of the current and future workflows. The application of the guides also helped me change my mindset and go beyond the technical aspects of Epic to consider the interaction of informatics with human factors, organizational culture, and workflow integration (Sittig et al., 2025). The methodology prompted me to look not only at areas in which the adoption succeeds, but also at possible unwanted effects, including alert fatigue or inefficient workflow (Sittig et al., 2025). The SAFER Guides directed effort toward the area with the highest impact on patient safety by systematically identifying the risks and prioritizing efforts to improve them. Finally, the process strengthened the role of evidence-based assessment tools to inform technology implementation and make informatics functional, as well as safe, reliable, and aligned with the overall objectives of patient-centered care.

Conclusion

• Slide 7: 

Implementing predictive analytics and BCMA technologies in MGH will prevent a significant number of patient injuries and improve clinical safety systems. Informatics-based solutions will have a direct positive impact on the Leapfrog safety grades and Medicare Compare patient safety ratings. The risks identified in SAFER guides will be mitigated to create a greater resilience to failure caused by technology. MGH will ensure the implementation of a safety and innovation culture in every department, supported by the executives. The long-term benefits of patient safety and organization performance will be achieved through the assessment and training of health IT systems and continued development.

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