NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing

Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Fleetly growing medical technology and the vacuity of slice-edge monitoring tools have bettered cases’ health. Case detector bias has resulted in significant advances in healthcare, including complaint operation. The use of patient detector bias in medical installations improves nursing practice. This annotated bibliography examines current peer-reviewed papers flaunting the impact of patient detector bias on clinical practices and interprofessional brigades.

Introduction to the Selected Technology Topic

Wearable case detector biases are an essential element of contemporary medical care, offering ongoing surveillance and data gathering to ameliorate issues. These widgets can track pivotal health pointers, such as cardiac rate, blood pressure, sugar situations, and oxygen achromatism (Anikwe et al., 2022). I chose patient detectors and wearable technology because they’re essential for evaluation, ongoing surveillance, and medical practice. It reduces medical costs by mollifying complications. I searched databases similar to PubMed, Google Scholar, and CINAHL.

Keywords used for applicable papers are “Remote case monitoring technology,” “Impact of patient detector bias on medical practices,” and “Sensor bias and patient safety.” To identify the credibility of exploration coffers, the CRAAP (Currency, Relevance, Accuracy, Authority, and Purpose) criteria are applied. According to the CRAAP, the reviews chosen are current and material, with authors with clinical moxie offering precious information (Muis et al., 2022).

Annotated Bibliography

De, D., Sahar Borna, Maniaci, M. J., Coffey, J. D., Haider, C. R., Demaerschalk, B. M., & Forte, A. J. (2024). profitable perspective of the use of wearables in health care A methodical review. Mayo Clinic Proceedings Digital Health, 2(3), 299-317. https://doi.org/10.1016/j.mcpdig.2024.05.003

The review set up that telemedicine, specifically wearable bias and detector technology, produced significant advances in illness operation when compared to conventional care. The purpose of this composition is to give a summary of the profitable impact of monitoring bias and wearable detectors for conditions like diabetes. These technologies enable caregivers to collect, document, and assess cases’ medical data and vital signs remotely. It leads to a significant boost in illness control. Movable widgets, supplemental bias, and other outfits can be used to conduct remote monitoring contemporaneously. They’re essential for covering complaint development or exacerbation by recording vital labels. It’s also pivotal to borrow preventative care to minimize illness progression and sanitarium stays.

The preface of wireless movable bias suitable to descry health pointers and other variables like mobility and position of sleep allows for further effective case monitoring in medical installations, perfecting patient convenience and issues. Wearable insulin injection technologies, like glucose sensors and insulin pumps, aid in better diabetes control. It improves patient issues and watch quality in comparison to other curatives.

NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing

The authors stated that patient detectors and movable technologies are suitable to reduce medical expenditures, increase the vacuity of support and guidance, and palliate adverse events. Incipiently, these biases have handed nurses with capabilities to ensure patient safety and effective care. Successful integration and operation of remote monitoring through bias requires interdisciplinary cooperation. This composition is vital because it’ll help stakeholders in estimating the cost involved with planting cases, seeing bias, and wireless communication results in their association.

Hilty, D. M., Armstrong, C. M., Edwards-Stewart, A., Gentry, M. T., Luxton, D. D., & Krupinski, E. A. (2021). Detector, wearable, and remote patient monitoring capabilities for clinical care and training A scoping review. Journal of Technology in Behavioral Wisdom, 6, 252-277. https://doi.org/10.1007/s41347-020-00190-3

The author of this composition discusses how patient detectors and wearable widgets aid in remote monitoring to ameliorate patient issues and watch effectiveness. Remote monitoring gathers data from detectors and other medical devices and transmits it to caregivers for evaluation and care opinions. It has been demonstrated that these tools enhance the discovery and operation of people with long-term health problems and boost patient safety. The author also made guidelines for duly integrating case-seeing bias in care systems. Nurses must be technically trained and educated to effectively and safely transmit remote shadowing information to a case’s healthcare provider.

NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing

A remote monitoring intervention using a monitoring tool necessitates the use of effective shadowing bias, medical labor force, and technicians. Effective relinquishment of these tools into treatment necessitates a case-centered paradigm. Professionals should have the necessary chops, information, and training to ensure moral and effective practice. This study is important for medical staff because it offers in-depth perceptivity into how monitoring and detector bias can transfigure medical operations, demonstrating the broad benefits of perfecting patient safety, the standard of care, and productivity in medical installations. The composition also emphasizes the significance of interdisciplinary cooperation in the relinquishment of patient monitoring bias to ensure optimal care.

Kooij, L., Peters, G. M., Doggen, C. J., & van Harten, W. H. (2022). Remote nonstop monitoring with wireless wearable detectors in clinical practice: nurses’ perspectives on factors affecting perpetration—a qualitative study. BioMed Central Nursing, 21(1), 53. https://doi.org/10.1186/s12912-022-00832-2

The authors emphasize the significance of patient monitoring bias and wearable detectors in medical care procedures. This review paper examines the factors affecting the integration of ongoing shadowing through wireless movable bias and nurses’ encounters with the technology. Wireless, wearable detectors are telemedicine biases that significantly reduce backing and care delivery times and enhance patient issues. It also lowers sanitarium stays and associated clinical costs. These biases track a case’s health criteria, such as palpitation and breathing rate, and conduct behavioral checks, like medicine adherence.

NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing

It also helps to increase patient safety and mobility and minimize nurses’ work strain. The relinquishment of technology, similar to covering bias, is told by technological, interpersonal, and organizational enterprises. Specialized factors include a shy technology structure and poor connectivity. Other factors include nursing shoes, specialized capability, and eHealth knowledge. It’s important to involve stakeholders during the development and evaluation of the technology. Nurses’ capacities can be increased through education and training. Enhanced commerce and cooperation between cases and healthcare providers is pivotal for successful remote monitoring intervention through monitoring bias.

Interdisciplinary cooperative approaches that incorporate feedback with participatory decision-timber processes boost compliance rates. Crucial stakeholders, including nurses, must be included to ensure the continuum of effective care and patient safety. Incipiently, this publication is applicable to clinical practice, as it underlines the significance of collaboration, nanny training, and e-health knowledge in the prosecution and long-term success of covering interventions. It also underlines the necessity of wireless communication results in furnishing medical treatment, which medical staff can use in their clinical practice to ameliorate patient issues and revise the care process.

Mattison, G., Canfell, O., Forrester, D., Dobbins, C., Smith, D., Töyräs, J., & Sullivan, C. (2022). The influence of wearables on health care issues in habitual complaint A methodical review. Journal of Medical Internet Research, 24(7), e36690. https://doi.org/10.2196%2F36690

NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing

The methodical review highlights the positive impacts of wearables in terms of tone operation and perfecting medical issues. Integrating technology, similar to patient wearable bias, improves patient involvement and encourages tone regulation in managing habitual ails. It also provides cases with power over their medical care, similar to active participation in treatment opinions and life adaptations. Wearable widgets and smartphone apps can offer case feedback on vital signs, maybe adding their consummation of their health. The findings revealed that using technology improves patient issues by 50.

Wearable bias contributes to patient safety by enhancing the delicacy of diagnostics and furnishing acclimatized care approaches, reducing complications. Wearable widgets help patient safety by boosting patient commission and individual delicacy and offering personalized treatment suggestions, reducing the threat of errors. This composition is material to nursing practices, as it helps nurses expand their knowledge, develop their strategies, and give exceptional care to cases through remote monitoring tools. Incipiently, this review is critical for medical providers since it explains the different influences of wearable bias on patient tone, operation, and healthcare, demonstrating its eventuality to transfigure the case care process and addressing essential factors for its relinquishment.

Summary of Recommendations

The reviewed studies demonstrate how patient detector bias has the potential to transfigure healthcare, particularly in terms of acclimatized care and ongoing patient surveillance. Each study focuses on monitoring or wearable bias’ capability to boost patient safety and position of care by enabling real-time shadowing and substantiation-grounded opinions. Likewise, exploration highlights their use in care rules and habitual illness operation, promoting patient issues and clinical effectiveness. Enforcing patient detector bias in medical settings is justified by their proven benefits in terms of patient care and productivity. The examined exploration demonstrates that patient detector technologies reduce complications, offer personalized care, and enable ongoing surveillance of cases.

A study by De et al. (2024) emphasized the part of patient monitoring bias in furnishing real-time surveillance of cases and prompt intervention, which are vital for patient safety. It’s also pivotal to borrow these tools in preventative care to minimize illness progression and sanitarium stays, reducing costs. A study by Mattison et al. (2022) asserted the necessity of the integration of patient detector bias and related apps for remote monitoring, which are pivotal for perfecting patient tone operation and reducing affiliated complications.

NURS FPX 4040 Assessment 3 Annotated Bibliography on Technology in Nursing

Hilty et al. (2021) and Kooij et al.( 2022) stressed patient detector bias’ effectiveness in offering prompt guidance and backing while reducing nurses’ work strain. The impact on medical installations entails advanced patient issues and satisfaction through nonstop and better care, increased productivity of interprofessional brigades, and staff engagement and retention owing to reduced workload. Incorporating detector bias into medical settings isn’t only applicable but also necessary for enhancing current clinical procedures.

The relinquishment of patient detector tools in medical installations is told by organizational and technological factors like the structure to handle new technology integration and nurses’ perspectives towards relinquishment and specialized chops in healthcare settings (Kooij et al., 2022). Acceptable coffers, both fiscal and technological, are needed to borrow and maintain remote monitoring tools successfully. Nurses should be professional, and IT workers can help apply the Health Insurance Portability and Responsibility Act (HIPAA) across the association to cover patient data while using monitoring bias (Krupinski & Pagliaro, 2021).

Capella 4040 Assessment 3 Annotated Bibliography on Technology in Nursing

Krupinski, E. A., & Pagliaro, J. A. (2021). The article discusses the delegation of responsibility for remote patient monitoring. Healthcare Information Technology for Cardiovascular Medicine Telemedicine & Digital Health, 39-50.

https://doi.org/10.1007/978-3-030-81030-6_3 

Mattison, G., Canfell, O., Forrester, D., Dobbins, C., Smith, D., Töyräs, J., & Sullivan, C. (2022). The influence of wearables on health care issues in habitual complaint A methodical review. Journal of Medical Internet Research, 24(7), e36690. https://doi.org/10.2196%2F36690

Muis, K. R., Denton, C., & Dubé, A. (2022). relating CRAAP on the internet A source evaluation intervention. Advances in Social Sciences Research Journal, 9(7), 239-265. https://doi.org/10.14738/assrj.97.12670