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

 

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

Clinicians can significantly reduce the time required to evaluate patients with COVID-19 symptoms by using a clinical decision support tool for diagnostic assessments (Gavrilov et al., 2021). Effective quarantine of patients with COVID-19 symptoms is essential to prevent further virus spread in healthcare facilities. The CDSS system guides practitioners through a standardized COVID-19 diagnostic workup based on the latest recommendations, streamlining the process (Gavrilov et al., 2021).

The integration of CDSS systems with Best Practice Advisory (BPA) alerts offers several advantages, including improved patient and staff safety, rapid virus detection, and time-saving benefits (Gavrilov et al., 2021).

Process

Before the implementation of the CDSS system	After the implementation of the CDSS system
Time to make an accurate diagnosis of COVID-19	1-2 days	5-6 hours
Healthcare costs	$9500	$2000
Unidentified patients in quarantine	10-20 patients	5 patients
False Negative Results	7-8 false negative results	3-4 false negative results

Conclusion

This study examined the feasibility of using CDSS systems in the administration and management of COVID-19. The CDSS system’s ability to swiftly diagnose COVID-19 patients aids healthcare professionals in containing its spread, reducing complications, lowering unnecessary treatment costs, shortening diagnostic procedures, and improving clinical performance and patient outcomes.

References

Akhloufi, H., van der Sijs, H., Melles, D. C., van der Hoeven, C. P., Vogel, M., Mouton, J. W., & Verbon, A. (2022). The development and implementation of a guideline-based clinical decision support system to improve empirical antibiotic prescribing. BMC Medical Informatics and Decision Making, 22(1). https://doi.org/10.1186/s12911-022-01860-3

Bienstock, J., & Heuer, A. (2022). A review on the evolution of simulation-based training to help build a safer future. Medicine, 101(25), e29503. https://doi.org/10.1097/MD.0000000000029503