Application of Clinical Systems Essay

Assignment: Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies

Application of Clinical Systems

Clinical systems are information systems applied in the clinical settings to enhance the various operations and clinical interventions in the healthcare environments. When applied in the clinical settings, the clinical systems improve elements such as efficiencies and the qualities of care provided to the patients. In this context, it is important that health information system managers understand the various perspectives connected to the clinical systems. The purpose of this paper is to review the different studies on the clinical systems and highlight how the findings can be applied by health organizations in improving the quality of care and patients’ satisfactions Application of Clinical Systems Essay.

Dean, N. C., Jones, B. E., Jones, J. P., Ferraro, J. P., Post, H. B., Aronsky, D., . . . Haug, P. J. (2015). Impact of an Electronic Clinical Decision Support Tool for Emergency Department Patients with Pneumonia. Annals of Emergency Medicine, 66(5), 511-520. doi:10.1016/j.annemergmed.2015.02.003

In this study, the authors sought to study the impacts of real-time, emergency department, electronic clinical decision support tool which offers clinicians with the guideline-recommended decision support for performing diagnosis, disposition, antibiotic selection, and severity assessment in pneumonia patients. According to the findings of the study, the real time electronic clinical decision support tool enhanced health outcomes pneumonia patients in the emergency departments (Dean et al. 2015). The use of the clinical decision support tools enabled clinicians adequately prioritize patients and provide the relevant health interventions. One of the efficiencies that the use of the clinical decision tool in the study demonstrates is the classification severely ill pneumonia patients. The electronic clinical decision support system enabled the clinicians recognize severely ill pneumonia patients based on set criteria of symptoms (Dean et al. 2015). With the recognition of the needs of the patients, their health outcomes were also improved.  Prompt delivery of care is another efficiency that the study highlights to be critical. From the study, an important lesson that emerges is that the information system managers in the emergency departments should implement real time electronic clinical decision support systems to help them in assessing patients comprehensively. Health practitioners should also exploit the real time nature of the clinical systems to evaluate the trends in the health responses from the patients Application of Clinical Systems Essay.

  Holt, T. A., Dalton, A., Marshall, T., Fay, M., Qureshi, N., Kirkpatrick, S., . . . Fitzmaurice, D. (2017). Automated Software System to Promote Anticoagulation and Reduce Stroke Risk. Stroke, 48(3), 787-790. doi:10.1161/strokeaha.116.015468

The study investigated the effect that automated software system had in promoting anticoagulation and reducing the incidences of stroke risks. The AURAS-AF [Automated Risk Assessment for Stroke in Atrial Fibrillation]) was used to identify patients who were at risks of developing stroke but not receiving the relevant health interventions to minimize the risks (Holt et al., 2017). From the results of the study, the authors gathered that the application of the software improved the diagnosis rates for ischemic attacks in patients admitted at the emergency departments. The efficiencies of the AURAS-AF software revolved around the precision of the diagnosis and the reminders and initiation of early treatments that helped to reduce the incidences of ischemic strokes in the clinical settings (Holt et al., 2017).  From the results of the study, one of the important lessons learned is that the use of the clinical support systems can help with the detection of patients at risks of developing strokes. The implementation of the clinical systems in the emergency departments where such patients are many is thus beneficial. This benefit is evident from the observation that the system reduced the risks of ischemic stroke significantly. Another crucial lesson that can be learned from the study is that while implementing the clinical systems, focus should be made on those systems that have the capacities to improve the decision-making processes of the clinicians. In other words, the clinical systems should be those that have the capacities to add value to the interventions that healthcare providers use Application of Clinical Systems Essay.

Mcginn, T. G., Mccullagh, L., Kannry, J., Knaus, M., Sofianou, A., Wisnivesky, J. P., & Mann, D. M. (2013). Efficacy of an Evidence-Based Clinical Decision Support in Primary Care Practices. JAMA Internal Medicine, 173(17), 1584-1587. doi:10.1001/jamainternmed.2013.8980

The objective of the research study was to investigate the effect of a customized –clinical system in the management of respiratory infections and to establish how the application influenced the adoptions of evidence-based practices at the point of care. The researchers used Walsh rule for streptococcal pharyngitis and the Heckerling rule for pneumonia as the clinical prediction rules in the study (Mcginn et al., 2013). The findings of the researchers demonstrated that the application of the clinical system enhanced the decision-making processes and improved the efficacies of the interventions used in primary care for managing respiratory infections such as pneumonia. With the adoption of the clinical system in the healthcare facility, there were noticeable improvements in the managements of the respiratory infections. One element of efficiency that the clinical decision support provides when used in primary care is the use of evidence-based practices to guide the interventions for patients. This feature shows that the clinical system facilitates the clinical decision-making processes on the respiratory infections. Another point of efficiency that the clinical system shows when used in primary care relates to diagnosis. The authors report improvements in the diagnosis for the respiratory conditions which is an important step toward the realization of effective management of the respiratory conditions. From the study, a significant lesson learned is that the clinical systems can be used to target specific health issues that contribute to morbidity and mortality such as the respiratory infections.  In this sense, health information system managers should identify health issues of concerns so that the clinical systems can then be used to promote positive outcomes Application of Clinical Systems Essay.

Roshanov, P. S., Fernandes, N., Wilczynski, J. M., Hemens, B. J., You, J. J., Handler, S. M., . . . Haynes, R. B. (2013). Features of effective computerized clinical decision support systems: Meta-regression of 162 randomized trials. Bmj, 346 (Feb14 1). doi:10.1136/bmj.f657

In this research, the objective was to underscore the different features that defined the successful clinical systems when used in the care settings. The authors analyzed the outcomes of various studies that report the impacts of clinical systems when used in the care facilities. The study underscored three important features as being fundamental to the successes of the clinical systems. First, the authors observed that implementation of the clinical systems by integrating them through order entry or electronic charting was linked with high rates of failures.  Second, clinical systems that prompted the practitioners and clinicians to offer reasons for overlooking advice also had better outcomes (Roshanov et al., 2013). Third, systems that offered advice to both patients and practitioners also had high success rates. From the findings, an area of improvement that can be identified is that of the systems to provide relevant advice to patients and practitioners. As such, the clinical systems help both the practitioners and patients to make better and relevant decisions in connection to the health issues of concerns. On efficiency, the features identified from the study illustrate that the clinical systems provide platforms for promoting evidence-based practices for the health issues affecting patients. As to the lessons learned, the outcomes of the study suggest that the health information system managers should stress on the features that drive success of the clinical systems. Beyond that, health information system managements should perform continuous evaluations of the systems to validate if they are demonstrating the desirable features in practice. It is from such evaluations that the effective systems can be identified and be implemented in the organizations Application of Clinical Systems Essay.

Conclusion

Clinical systems are information systems that help practitioners improve the qualities of care they provide to patients. From the clinical systems, providers receive valuable suggestions that can be used to manage the different health issues affecting patients. Despite the benefits that the clinical systems offer, it is also worth noting that clinical systems efficacies depend on certain practices and factors. Consequently, health information system managers should be proactive in identifying the desirable features of the clinical systems before, during and after the implementations. It is also necessary that continuous evaluations should be performed on the systems to identify gaps that may hinder the efficacies of the systems.  The clinical systems are most likely to be beneficial when their implementations are accompanied with the best practices Application of Clinical Systems Essay.

References

Dean, N. C., Jones, B. E., Jones, J. P., Ferraro, J. P., Post, H. B., Aronsky, D., . . . Haug, P. J. (2015). Impact of an Electronic Clinical Decision Support Tool for Emergency Department Patients with Pneumonia. Annals of Emergency Medicine, 66(5), 511-520. doi:10.1016/j.annemergmed.2015.02.003

Holt, T. A., Dalton, A., Marshall, T., Fay, M., Qureshi, N., Kirkpatrick, S., . . . Fitzmaurice, D. (2017). Automated Software System to Promote Anticoagulation and Reduce Stroke Risk. Stroke, 48(3), 787-790. doi:10.1161/strokeaha.116.015468

Mcginn, T. G., Mccullagh, L., Kannry, J., Knaus, M., Sofianou, A., Wisnivesky, J. P., & Mann, D. M. (2013). Efficacy of an Evidence-Based Clinical Decision Support in Primary Care Practices. JAMA Internal Medicine, 173(17), 1584-1587. doi:10.1001/jamainternmed.2013.8980

Roshanov, P. S., Fernandes, N., Wilczynski, J. M., Hemens, B. J., You, J. J., Handler, S. M., . . . Haynes, R. B. (2013). Features of effective computerized clinical decision support systems: Meta-regression of 162 randomized trials. Bmj, 346(Feb14 1). doi:10.1136/bmj.f657

ORDER A PLAGIARISM-FREE PAPER HERE

Assignment: Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies