Clinical Systems In The Healthcare Discussion Paper

Clinical Systems In The Healthcare Discussion Paper

Introduction

Clinical system integration has become a key factor in improving efficiency and quality in the healthcare industry (Balch et al., 2023). By improving patient safety, optimizing treatment outcomes, and expediting processes, the introduction of Health Information Systems (HIS), Clinical Information Systems (CIS), quality improvement (QI) programmes, and Clinical Decision Support Systems (CDSS) has completely changed the way healthcare is delivered. This study examines the findings of four peer-reviewed studies that investigate how clinical systems affect the effectiveness and outcomes of healthcare. This paper seeks to clarify important findings and lessons learnt about the application and use of clinical systems in healthcare settings through a synthesis of various studies. We obtain a thorough grasp of how clinical systems can be successfully used to negotiate the complexity of contemporary healthcare delivery, eventually leading to improvements in patient care and organizational efficiencies, by carefully analyzing the nuanced approaches and crucial elements highlighted in these articles. Clinical Systems In The Healthcare Discussion Paper

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Popescu, C., El-Chaarani, H., El-Abiad, Z., & Gigauri, I. (2022). Implementation of Health Information Systems to Improve Patient Identification. International journal of environmental research and public health, 19(22), 15236. https://doi.org/10.3390/ijerph192215236

Study Summary, Improvements to Outcomes and Efficiencies

This peer-reviewed article aims to examine the influence of Healthcare Information Systems (HIS) adoption on patient identification and related parameters at Neioumazloum Hospital. The study, which included 109 workers overall, examined the connections between a number of variables, such as workload, nurse exhaustion, patient safety culture, patient identification policy implementation, and HIS components like task support satisfaction, interface satisfaction, and learnability. The study’s findings offer insightful information about enhancing efficiency and results in healthcare settings.

According to the study, patient misidentification was significantly influenced by nurse exhaustion and a failure to implement the patient identification policy. Hospitals can improve patient safety and lower the rate of errors by addressing these problems. Additionally, the study demonstrated the significance of HIS elements in reducing patient misidentification, such as task support satisfaction and learnability. Enhancing these HIS components can result in more accurate patient data management, more efficient workflow procedures, and ultimately improved healthcare outcomes. The report also highlights the necessity of ongoing education and assistance for medical personnel to optimize the advantages of HIS implementation.

Lessons Learned

The crucial role that human factors play in the adoption of healthcare IT is one of the most important lessons to be gained from the use of this clinical system. The success of HIS adoption is greatly influenced by factors other than technology, including company culture and nursing fatigue. To maximize the use of HIS, healthcare organizations must thus give staff training priority, deal with workload concerns, and promote a patient safety culture. The study also emphasizes how crucial it is to continuously assess and enhance HIS components to satisfy changing healthcare demands and guarantee the provision of high-quality patient care.

Tun, S. Y. Y., & Madanian, S. (2023). Clinical information system (CIS) implementation in developing countries: requirements, success factors, and recommendations. Journal of the American Medical Informatics Association : JAMIA, 30(4), 761–774. https://doi.org/10.1093/jamia/ocad011

Article Summary, Improvements to Outcomes and Efficiencies Clinical Systems In The Healthcare Discussion Paper

This scholarly article written by Tun and Madanian (2023) examines the deployment of Clinical Information Systems (CIS) in developing nations, highlighting essential prerequisites and project success factors. The goal of the research is to improve operational efficiencies and healthcare outcomes by incorporating stakeholders in system design and tailoring CIS to organizational needs. For example, CIS alignment with clinical workflows and information flows can improve patient care quality by streamlining procedures and lowering errors. In addition, stressing sound data management techniques like standardization and security precautions ensures data confidentiality and integrity, which promotes improved decision-making and patient safety. In addition, the study emphasizes the significance of phased implementation strategies and continuous monitoring to handle particular difficulties in developing nation contexts. These insights can be highly helpful in maximizing the impact of CIS deployment on healthcare delivery and optimizing its deployment.

Lessons learned from the application of clinical system

The clinical system’s implementation taught us several important lessons, such as the importance of adopting phased implementation strategies for easier transitions and ensuring that system design is in line with organizational goals and processes. We also learn the importance of establishing robust data management standards for data integrity and confidentiality. Furthermore, to effectively address the particular issues found in developing nation contexts and maximize the system’s influence on healthcare delivery, continuous monitoring and stakeholder interaction are essential.

Backhouse, A., & Ogunlayi, F. (2020). Quality improvement into practice. BMJ (Clinical research ed.), 368, m865. https://doi.org/10.1136/bmj.m865

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Article summary

This research explores the topic of quality improvement (QI) in the healthcare industry and highlights how it differs from other methods like clinical transformation, research, clinical audit, and service assessment. It demonstrates how QI empowers frontline employees and service users through the iterative testing of change ideas, resulting in quantifiable improvements in the provision of healthcare. As an illustration, the hospital physiotherapy team used QI principles to optimize the way that physiotherapy treatments were delivered, which enhanced patient care and expedited procedures. In a similar vein, QI enhanced clinical audit by pointing out areas for improvement and assessing the effects of adjustments, improving results and guaranteeing sustainability. Also, QI promoted change initiatives and assessed their efficacy through service evaluation, which aided in improving services and providing better patient care. Clinical Systems In The Healthcare Discussion Paper

Lessons Learned from Application

The study emphasizes how crucial it is to successfully implement QI principles in order to promote significant change and enhance patient outcomes. It highlights how important it is to communicate clearly, follow QI procedures, and recognize the differences between QI and other methods. It also emphasizes how important it is for patients to participate in QI projects in order to guarantee that their needs and preferences are met. The examples presented in the paper demonstrate how QI may address issues in healthcare by incorporating stakeholders, customizing interventions for local circumstances, and encouraging ongoing progress. Overall, the study highlights how systematic, iterative approaches to quality improvement (QI) can lead to beneficial improvements in healthcare delivery, improve outcomes, and promote efficiencies.

Shahmoradi, L., Safdari, R., Ahmadi, H., & Zahmatkeshan, M. (2021). Clinical decision support systems-based interventions to improve medication outcomes: A systematic literature review on features and effects. Medical journal of the Islamic Republic of Iran, 35, 27. https://doi.org/10.47176/mjiri.35.27

Article summary, improvement to outcomes and efficiencies

According to the systematic literature review conducted by Shahmoradi et al. (2021) in this paper, Clinical decision support systems (CDSS) have been shown to improve drug outcomes and efficiencies in healthcare settings significantly. The literature covers the features and effects of the CDSS interventions that are aimed at improving treatment outcomes, pointing out their positive impacts on patient safety while at the same time identifying the factors that affect the successful implementation. Patient safety has improved because of the significant decrease in prescription errors, adverse drug events (ADEs), and drug-drug interactions (DDIs) brought about by CDSS deployment, as per the study. As an illustration, the combination of CDSS with computerized physician order entry (CPOE) systems has improved pharmaceutical safety and decreased medication errors. Moreover, CDSS has reduced undesirable side effects, enabled ideal medication dosage, and improved patient outcomes from therapy. These enhancements are consistent with a larger body of research that shows how well CDSS works to enhance drug management and clinical outcomes, as per the paper. Clinical Systems In The Healthcare Discussion Paper

Lessons learned

The study highlights a number of crucial elements affecting CDSS installation success. Important takeaways include early training and monitoring, integrating with current healthcare systems like CPOE, and incorporating important persons in system development. In order to maximize CDSS utilization, the evaluation also highlights the necessity of user-friendly systems, appropriate education and training programmes, and alignment with clinical processes.

Conclusion

In conclusion, the reviewed scholarly articles all highlight the revolutionary influence of clinical systems in the healthcare industry, from CDSS and QI projects to HIS and CIS. They demonstrate how these technologies improve treatment efficacy, expedite workflows, and protect patient safety. Most importantly, the research emphasizes how critical it is to address stakeholder involvement, human factors, and alignment with organizational goals in order to ensure successful implementation. To fully reap the benefits of clinical systems, lessons learned highlight the need for phased deployment, strong data management procedures, continuous education, and stakeholder participation. These results provide priceless insights into how to use technology to transform healthcare delivery, improve patient outcomes, and increase systemic efficiency as the field of medicine changes. Clinical Systems In The Healthcare Discussion Paper

References

Backhouse, A., & Ogunlayi, F. (2020). Quality improvement into practice. BMJ (Clinical research ed.), 368, m865. https://doi.org/10.1136/bmj.m865

Balch, J. A., Ruppert, M. M., Loftus, T. J., Guan, Z., Ren, Y., Upchurch, G. R., … & Bihorac, A. (2023). Machine learning–enabled clinical information systems using fast healthcare interoperability resources data standards: scoping review. JMIR Medical Informatics, 11, e48297.

Popescu, C., El-Chaarani, H., El-Abiad, Z., & Gigauri, I. (2022). Implementation of Health Information Systems to Improve Patient Identification. International journal of environmental research and public health, 19(22), 15236. https://doi.org/10.3390/ijerph192215236

Shahmoradi, L., Safdari, R., Ahmadi, H., & Zahmatkeshan, M. (2021). Clinical decision support systems-based interventions to improve medication outcomes: A systematic literature review on features and effects. Medical journal of the Islamic Republic of Iran, 35, 27. https://doi.org/10.47176/mjiri.35.27

Tun, S. Y. Y., & Madanian, S. (2023). Clinical information system (CIS) implementation in developing countries: requirements, success factors, and recommendations. Journal of the American Medical Informatics Association : JAMIA, 30(4), 761–774. https://doi.org/10.1093/jamia/ocad011

To Prepare: Clinical Systems In The Healthcare Discussion Paper

Review the Resources and reflect on the impact of clinical systems on outcomes and efficiencies within the context of nursing practice and healthcare delivery.
Conduct a search for recent (within the last 5 years) research focused on the application of clinical systems. The research should provide evidence to support the use of one type of clinical system to improve outcomes and/or efficiencies, such as “the use of personal health records or portals to support patients newly diagnosed with diabetes.”
Identify and select 4 peer-reviewed research articles from your research.
For information about annotated bibliographies, visit https://academicguides.waldenu.edu/writingcenter/assignments/annotatedbibliographies Links to an external site.
The Assignment: (4-5 pages not including the title and reference page)

In a 4- to 5-page paper, synthesize the peer-reviewed research you reviewed. Format your Assignment as an Annotated Bibliography. Be sure to address the following:

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Identify the 4 peer-reviewed research articles you reviewed, citing each in APA format.
Include an introduction explaining the purpose of the paper.
Summarize each study, explaining the improvement to outcomes, efficiencies, and lessons learned from the application of the clinical system each peer-reviewed article described. Be specific and provide examples.
In your conclusion, synthesize the findings from the 4 peer-reviewed research articles.
Use APA format and include a title page.
Use the Safe Assign Drafts to check your match percentage before submitting your work. Clinical Systems In The Healthcare Discussion Paper