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NURS FPX 4040 Assessment 4 Informatics and Nursing Sensitive Quality Indicators

Student Name

Capella University

NURS-FPX 4040 Managing Health Information and Technology

Prof. Name:

Date

Informatics and Nursing-Sensitive Quality Indicators

Hi! Welcome to the session. I am Emma. Today, we will discuss Nursing-Sensitive Quality Indicators (NSQIs) to educate nurses on the significance of these indicators in the healthcare setting. These indicators are essential for enhancing nursing practices, expertise, and better health outcomes (Oner et al., 2020). NSQIs are becoming widely recognized as reliable and trustworthy tools in the improvement of clinical practices, assessment of nursing care quality, and capacity to guide patient decision-making in Hospital Acquired Infections (HAIs). These infections are acquired during a hospital stay; their prevalence is a patient-focused indicator. To guarantee patient safety and high quality in healthcare facilities, monitoring and reducing HAIs is essential (Oner et al., 2020).

National Database for Nursing-Sensitive Quality Indicator 

The National Database for Nursing Quality Indicators (NDNQIs) is essential for establishing standards for nursing practices. NDNQIs contribute to improved nursing outcomes by providing essential standards for nursing care quality and job satisfaction. They help assess and improve patient care and health consequences (Lake et al., 2019). NDNQIs contribute by offering accessible standards such as leadership, staffing, interdisciplinary teamwork, and communication. Using these indicators, nursing programs can highlight the value of a healthy workplace and provide future nurses with the skills to identify and advance it. Professional development is supported by practicing nurses under NDNQIs to improve workplace features and outcomes (Lake et al., 2019).

Incidence of Hospital-Acquired Infections

Today’s session aims to educate nurses about the importance of NSQIs, with HAIs as the selected indicator. HAIs commonly cause demise in the United States (US). Many HAIs are preventable, even though they raise healthcare expenses, span of stay, and death. The Centers for Disease Control and Prevention (CDC) and the National Healthcare Safety Network (NHSN) worked to monitor and implement interventions significantly reducing HAIs. This reduces the spread of HAIs and lowers mortality while saving significant money on healthcare (Liu & Dickter, 2020). 

Nurses will be educated by providing specific training on preventing HAIs using evidence-based practices. This includes stringent adherence to infection control measures, necessary sterilization approaches, and sterility guidelines. These strategies can help to improve patient health through nurses’ rapid detection and resolution of HAI threats. It is possible by their monitoring and reporting of potential risk factors that must be managed with an interdisciplinary strategy and an efficient monitoring system (Liu & Dickter, 2020). 

Analyzing the complexity of HAIs, nurses must have the necessary knowledge about preventative strategies, which improve their capacity, reduce risks, and improve healthcare measures, raising the nursing standard and improving patient health (Seaton et al., 2019). HAIs are a resource allocation guide involving the planned supply of health staff, supplies, and funds to maximize patient care. This ensures the effective utilization of resources, aligning to improve patient welfare and maintain high nursing standards (Seaton et al., 2019). 

Role of Interdisciplinary Team

Interdisciplinary teams support medical associations in providing their services. The role of the interdisciplinary team for data collection is crucial in preventing HAIs. It emphasizes critical information technology for automated monitoring systems on HAIs (Behnke et al., 2021). The team makes it possible to accurately and promptly monitor infection trends, which helps with early detection and prevention. Administrators, nurses, IT specialists, and healthcare professionals work together in this interdisciplinary approach.

In this situation, nurses are essential because they actively participate in data collection and guarantee accurate and detailed reporting (Friedrich, 2019). Technology integration in HAIs investigation allows actual analysis in addition to rapid data collection. This allows medical staff members and nurses to respond quickly to possible epidemics. Preventative measures can be planned accordingly to improve patient care. As front-line healthcare providers, nurses ensure complete documentation and observation, which adds to the validity of the gathered data (Behnke et al., 2021).

Infection control strategies improve patient outcomes and create a safer healthcare environment. Electronic Health Records (EHRs) proposed a central platform for HAIs data, simplifying data collection, storage, and recovery processes. This is essential for HAIs observation because it gives nurses and other medical professionals updated information on patient conditions, infection rates, and relevant medical histories (Zhao et al., 2020).

As front-line healthcare providers, nurses actively participate in the interdisciplinary approach using EHRs. They guarantee that relevant data about infections, therapies, and results are regularly updated, which helps ensure patient data’s reliability and accuracy. Healthcare teams can collaborate and communicate more easily when EHRs are integrated, which encourages a quicker and more efficient reaction to possible HAIs threats, enhances patient health and safety, and reduces stay at the hospital (Zhao et al., 2020).

Impacts of the Interdisciplinary Team

An interdisciplinary team has a fundamental impact on HAIs by working collaboratively, healthcare professionals can better navigate changes in the epidemiology of HAIs, improve diagnostic techniques, and implement preventive measures. Integrating new technologies and efficient interdisciplinary teamwork makes more efficient observations and intervention techniques possible. This cooperative approach promotes a thorough understanding of HAIs and enhances patient care and infection prevention (Blot et al., 2022).

HAIs can be reduced by interdisciplinary approaches within the healthcare system. Implementing a comprehensive work system necessitates collaborative leadership among professionals from diverse fields. Through improved coordination, communication, and problem-solving, this interdisciplinary approach promotes the prevention of HAIs and enhances patient safety in a healthcare setting (Knobloch et al., 2019).

A multidisciplinary team’s cooperative efforts are critical to improving organizational quality indicators and patient safety. Using technologies like EHR, the team effectively gathers and evaluates data related to HAIs with nurses. This strategy guarantees accurate data collection, particularly when diagnosing HAIs (Handley & Hessefort, 2020). The participation of data analysts and quality assurance specialists further strengthens the ability of interdisciplinary teams to identify problems and maintain data integrity.

The interdisciplinary approach produces evidence-based interventions that improve patient safety. This collaboration raises professionalism, responsibility, and cooperation throughout the healthcare environment, making it safer and more secure (Knobloch et al., 2019).

Nursing-Sensitive Quality Indicators for Healthcare Organizations

The healthcare organization can use the data of NSQIs like HAIs to educate nurses about the importance of healthcare problems. Safety, quality of care, and patient-centeredness are the three main concerns in healthcare worldwide. HAIs are critical in chasing and assessing data, determining the quality of care, influencing research to improve procedures, making sense of ideas, and pinpointing critical gaps in nursing care.

Patient safety, nurse informatics systems, a supportive work environment, and patient-centeredness are important aspects of HAIs. HAIs prioritize improving healthcare quality through a thorough investigation and improvement strategies, including nurse satisfaction, patient satisfaction, communication, and patient engagement (Hakami et al., 2023).

HAIs are critical tools for assessing nursing quality and directing clinical management to improve health outcomes. This indicator is essential in combating infections and raising the standard of care and patient safety. HAIs guide advanced nursing practices, establish organizational goals, and enable nursing leaders to improve patient outcomes, safety, and satisfaction (Hakami et al., 2023). HAIs have an impact on nursing practice and are essential in hospital settings. Nursing informatics guarantees the efficient use of EHRs and technology to monitor and improve nurse-sensitive outcomes.

NURS FPX 4040 Assessment 4 Informatics and Nursing Sensitive Quality Indicators

Through the strategic integration of information technology, an interdisciplinary team promotes continuous improvement in nursing practices, optimizes patient care, and facilitates evidence-based decision-making (Zhang et al., 2021).

The organizational performance places a strong emphasis on technology incorporation and HAIs. Analyzing the incidence and treatment of HAIs focuses on patient safety precautions, and utilizing modern technology improves the accuracy of diagnosis and effectiveness of therapy. This strategy guarantees an active approach to reducing HAIs and utilizing technology to enhance healthcare outcomes, in line with modern benchmarks of excellence (Hakami et al., 2023).

Evidence-Based Practices (EBP) Guidelines for Nurses

NSQIs are essential tools that nurses use and apply evidence-based practices, especially regarding HAIs prevention. By encouraging a culture of continuous improvement, these indicators help to ensure the safe and effective use of technology in patient-centered care. The formation of treatment goals, care plans, and front-line technologies like HAIs are all influenced by the evidence-based results from NSQIs, which improve patient safety and medical outcomes (Fuglestad et al., 2021). 

Evidence-based practices include sterilization methods and real-time monitoring systems to reduce infection risks and enhance patient health and safety. For early detection and intervention, data analytics and EHR integration are crucial. Evidence-based approaches to HAI prevention benefit from the effects of cutting-edge technologies, such as Ultraviolet (UV) disinfection and EHRs, to strengthen infection control against HAIs. Smart devices, robotic surgery, and telemedicine help reduce risks and demonstrate how important technology is to improving patient safety and lowering healthcare-associated infections (Fuglestad et al., 2021).

NURS FPX 4040 Assessment 4 Informatics and Nursing Sensitive Quality Indicators

Integrating digital solutions to support evidence-based strategies in nursing is crucial to HAIs. Improving patient care can involve pushing real-time monitoring systems, EHR, and other technological tools in place. The evidence-based approach encourages a systematic integration of technology and NSQIs, encouraging data-driven decision-making, enhancing nursing practices, and raising the standard of HAIs care given in hospital settings (Conte et al., 2023).

EBP for nurses depend on HAIs data. These indicators give nurses reliable data to evaluate how their interventions affect patient outcomes. Through effective observation and examination of HAIs rates, nurses can identify changes, evaluate existing protocols, and put evidence-based infection prevention strategies. With the help of this strategy, nurses have a greater ability to make well-informed decisions, modify interventions in response to immediate feedback, and enhance patient care procedures over time (Conte et al., 2023).

Conclusion

NSQIs are essential for improving healthcare quality, especially when averting hospital-acquired infections (HAIs). Nurse-skilled questions inform nursing practice, enhance patient outcomes, and promote safety in the healthcare setting by fostering interdisciplinary collaboration, technology integration, and evidence-based practices. Continuous improvement is ensured by the constant commitment to these indicators, which promotes infection prevention, patient-centered care, and general excellence in nursing practices.

References

Behnke , M. B. (2021). Information technology aspects of large-scale implementation of automated surveillance of healthcare-associated infections. Clinical Microbiology and Infection27, S29–S39. https://doi.org/10.1016/j.cmi.2021.02.027

Blot, S., Ruppé, E., Harbarth, S., Asehnoune, K., Poulakou, G., Luyt, C.-E., Rello, J., Klompas, M., Depuydt, P., Eckmann, C., Martin-Loeches, I., Povoa, P., Bouadma, L., Timsit, J.-F., & Zahar, J.-R. (2022). Healthcare-associated infections in adult intensive care unit patients: Changes in epidemiology, diagnosis, prevention and contributions of new technologies. Intensive and Critical Care Nursing70, 103227. https://doi.org/10.1016/j.iccn.2022.103227

Conte, G., Arrigoni, C., Magon, A., Stievano, A., & Caruso, R. (2023). Embracing digital and technological solutions in nursing: A scoping review and conceptual framework. International Journal of Medical Informatics177, 105148. https://doi.org/10.1016/j.ijmedinf.2023.105148

Friedrich, A. W. (2019). Control of hospital acquired infections and antimicrobial resistance in europe: the way to go. Wiener Medizinische Wochenschrift169(S1), 25–30. https://doi.org/10.1007/s10354-018-0676-5

Fuglestad, M. A., Tracey, E. L., & Leinicke, J. A. (2021). Evidence-based prevention of surgical site infection. Surgical Clinics of North America101(6), 951–966. https://doi.org/10.1016/j.suc.2021.05.027

Hakami, A., Hussain, F., Bakheet, A., Alghamdi, K., & AlAtrash, K. (2023). Nursing research priorities based on the nurse-sensitive indicators: A scoping review. The Open Nursing Journal17(1). https://doi.org/10.2174/18744346-v17-e230508-2023-29

NURS FPX 4040 Assessment 4 Informatics and Nursing Sensitive Quality Indicators

Handley, A. K., & Hessefort, Y. Z. (2020). Reduced incidence of healthcare-associated infections in a long-term care facility by converting to automated touchless dispensing and closed-refill systems. American Journal of Infection Control48(8), S28–S28. https://doi.org/10.1016/j.ajic.2020.06.100

Knobloch, M. J., Thomas, K. V., Musuuza, J., & Safdar, N. (2019). Exploring leadership within a systems approach to reduce health care–associated infections: A scoping review of one work system model. American Journal of Infection Control47(6), 633–637. https://doi.org/10.1016/j.ajic.2018.12.017

Lake, E. T., Sanders, J., Duan, R., Riman, K. A., Schoenauer, K. M., & Chen, Y. (2019). A meta-analysis of the associations between hospital nurse work environment and 4 sets of outcomes. Medical Care57(5), 353–361. https://doi.org/10.1097/mlr.0000000000001109

Liu, J.-Y., & Dickter, J. K. (2020). Nosocomial infections: A history of hospital-acquired infections. Gastrointestinal Endoscopy Clinics of North America30(4), 637–652. https://doi.org/10.1016/j.giec.2020.06.001

Oner, B., Zengul, F. D., Oner, N., Ivankova, N. V., Karadag, A., & Patrician, P. A. (2020). Nursing‐sensitive indicators for nursing care: A systematic review (1997–2017). Nursing Open8(3), 1005–1022. https://doi.org/10.1002/nop2.654

Seaton, P., Levett-Jones, T., Cant, R., Cooper, S., Kelly, M. A., McKenna, L., Ng, L., & Bogossian, F. (2019). Exploring the extent to which simulation-based education addresses contemporary patient safety priorities: A scoping review. Collegian26(1), 194–203. https://doi.org/10.1016/j.colegn.2018.04.006

NURS FPX 4040 Assessment 4 Informatics and Nursing Sensitive Quality Indicators

Zhang, M., Chen, W., Liu, C., Sui, J., Wang, D., Wang, Y., Meng, X., Wang, Y., & Yue, C. (2021). Nursing‐sensitive quality indicators for pernicious placenta previa in obstetrics: A delphi study based across chinese institutions. Nursing Open8(6). https://doi.org/10.1002/nop2.895

Zhao, J., Forsythe, R., Langerman, A., Melton, G. B., Schneider, D. F., & Jackson, G. P. (2020). The value of the surgeon informatician. Journal of Surgical Research252, 264–271. https://doi.org/10.1016/j.jss.2020.04.003

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