NURS FPX 6414 Assessment 3 Tool Kit for Bioinformatics NURS-FPX 6414 Advancing Health Care Through Data Mining

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Tool Kit for Bioinformatics

Since the emergence of the COVID-19 virus, concerns have arisen regarding health security, especially among those who visited hospitals during the outbreak and were worried about contracting the virus in the hospital environment (Wu et al., 2020). Early measures such as rapid identification and treatment of COVID-19 infections can enhance people’s sense of security. This objective can be achieved through the use of Health Information Technology, including Clinical Decision Support Systems (CDSS) and Best Practice Advisory (BPA) alerts (Wu et al., 2020). Thus, this paper provides a toolkit for implementing CDSS and BPA alerts.

Evidence-Based Policy

The burden of the COVID-19 pandemic has increased the workload for healthcare workers and significantly inflated healthcare costs. Consequently, patients, care providers, and health systems could face significant challenges due to the shortage of medical professionals and equipment if the spread of the illness is not effectively controlled (Moulaei, 2022). To effectively treat and prevent the spread of the illness, healthcare providers must closely monitor the early signs of COVID-19 infection. Optimizing the use of CDSS can assist physicians in making more informed decisions about patient diagnoses, treatments, and follow-ups, leading to quicker and more accurate diagnoses and outbreak containment (Moulaei, 2022).

NURS FPX 6414 Assessment 3 Tool Kit for Bioinformatics

In the medical field, particularly health information technology, the delivery of high-quality, timely treatment has been simplified. The Affordable Care Act mandates healthcare providers to adopt and fully utilize health information technology to improve quality, patient outcomes, and reduce healthcare costs (Fry, 2021). A fully developed electronic health record (EHR) with clinical decision support (CDS) is essential for a learning health system capable of navigating the complex healthcare landscape. Integrated clinical decision support technologies within electronic health records, such as Best Practice Advisory (BPA) alerts, enhance clinical decision-making by providing pertinent information to clinicians (Fry, 2021).

Guidelines

Effective policy implementation requires the support of key stakeholders. Communicating guiding principles, norms, and policies to the entire healthcare workforce is essential (Akhloufi et al., 2022). Healthcare institutions should conduct regular meetings involving physicians, nurses, hospital administrators, nurse informaticists, and information technology specialists to develop an efficient CDSS and BPA alert system. These meetings aim to improve the technology’s user-friendliness and minimize errors during its use. Additionally, they offer training on efficient technology usage (Akhloufi et al., 2022).

Following meetings and training sessions, planning for implementation may commence, with the development team defining project goals. The development team collaborates with system vendors to integrate technology effectively to achieve these goals (Akhloufi et al., 2022). Vendors may introduce a beta version or minimum viable product for healthcare organizations to test and provide feedback, leading to system adjustments tailored to the needs of patients and healthcare professionals (Akhloufi et al., 2022).

Practical Recommendations

Stakeholders Education

Successful technology implementation requires the buy-in of all relevant stakeholders. Healthcare organizations can educate their staff on maximizing technology’s potential by conducting weekly training sessions, seminars, and webinars, while also addressing staff concerns (Lukowski et al., 2020). Studies have shown the benefits of classroom-based team training interventions and simulation for assessing technical competence and addressing training gaps in healthcare technology use (Bienstock & Heuer, 2022).

Monitor Data to Evaluate Outcomes

After successfully implementing the CDSS and Best Practice Advisory (BPA) alert systems, it is crucial to evaluate their impact on COVID-19 patient outcomes. The CDSS system’s potential to enhance health outcomes through rapid and accurate disease detection can reduce its spread, lower healthcare costs, and increase patient safety (Karthikeyan et al., 2021).

Saegerman et al. (2021) demonstrated that the CDSS system facilitated rapid identification of COVID-19 patients, aiding triage efforts in understaffed diagnostic labs during the pandemic. This clinical decision support tool plays a crucial role in managing the pandemic (Saegerman et al., 2021).

A Specific Example of Bioinformatics

Clinic