Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Write a 4–6 page annotated bibliography where you identify peer-reviewed publications that promote the use of a selected technology to enhance quality and safety standards in nursing.

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To successfully complete this assessment, perform the following preparatory activities:

Review the technologies presented in the Assessment 03 Supplement: Evidence-Based Proposal and Annotated Bib on Tech in Nursing [PDF] Download Assessment 03 Supplement: Evidence-Based Proposal and Annotated Bib on Tech in Nursing [PDF]resource and select one of the options to use as the focus for this assessment.
- Direct patient care technologies require an interaction, or direct contact, between the nurse and patient. Nurses use direct patient care technologies every day when delivering care to patients. Electronic thermometers or pulse oximeters are examples of direct patient care technologies.
- Indirect patient care technologies, on the other hand, are those employed on behalf of the patient. They do not require interaction, or direct contact, between the nurse and patient. A handheld device for patient documentation is an example of an indirect patient care technology. Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing
Conduct a library search using the various electronic databases available through the Capella University Library.
- Consult the BSN Program Library Research Guide for help in identifying scholarly and/or authoritative sources.
- Access the NHS Learner Success Lab, linked in the courseroom navigation menu, for additional resources.
Scan the search results related to your chosen technology.
Select four peer-reviewed publications focused on your selected topic that are the most interesting to you.
Evaluate the impact of patient care technologies on desired outcomes.
- Analyze current evidence on the impact of a selected patient care technology on patient safety, quality of care, and the interdisciplinary team.
- Integrate current evidence about the impact of a selected patient care technology on patient safety, quality of care, and the interdisciplinary team into a recommendation.
  
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Notes

Publications may be research studies or review articles from a professional source. Newspapers, magazines, and blogs are not considered professional sources.
Your selections need to be current—within the last five years.

First, review the technologies presented in the Assessment 03 Supplement: Evidence-Based Proposal and Annotated Bib on Tech in Nursing [PDF] Download Assessment 03 Supplement: Evidence-Based Proposal and Annotated Bib on Tech in Nursing [PDF]resource and select one of the options to use as the focus for this assessment.

Next prepare a 4–6 page paper in which you introduce your selected technology and describe at least four peer-reviewed publications that promote the use of your selected technology to enhance quality and safety standards in nursing. You will conclude your paper by summarizing why you recommend a particular technology by underscoring the evidence-based resources you presented. Be sure that your paper includes all of the following elements: Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Introduction to the Selected Technology Topic
- What is your rationale for selecting this particular technology topic? What is interesting about it?
- What research process did you employ?
  - Which databases did you use?
  - Which search terms did you use?
  - Note: In this section of your bibliography, you may use first-person since you are asked to describe your rationale for selecting the topic and the research strategies you employed. Use third person in the rest of the bibliography, however.
Annotation Elements
- For each resource, include the full reference followed by the annotation.
- Explain the focus of the research or review article you chose.
- Provide a summary overview of the publication.
  - According to this source, what is the impact of this technology on patient safety and quality of care?
  - According to this source, what is the relevance of this technology to nursing practice and the work of the interdisciplinary health care team?
  - Why did you select this publication to write about out of the many possible options? In other words, make the case as to why this resource is important for health care practitioners to read.
Summary of Recommendation
- How would you tie together the key learnings from each of the four publications you examined?
- What organizational factors influence the selection of a technology in a health care setting? Consider such factors as organizational policies, resources, culture/social norms, commitment, training programs, and/or employee empowerment.
- How would you justify the implementation and use of the technology in a health care setting? This is the section where you will justify (prove) that the implementation of the
  patient care technology is appropriate or not. The evidence should be cited from the literature that was noted in the annotated bibliography.
  - Consider the impact of the technology on the health care organization, patientcare/satisfaction, and interdisciplinary team productivity, satisfaction, and retention.

Example Assessment: You may use the following to give you an idea of what a Proficient or higher rating on the scoring guide would look like: Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Assessment 3 Example [PDF] Download Assessment 3 Example [PDF].

Written communication: Ensure written communication is free of errors that detract from the overall message.
Length: 4–6-typed, double-spaced pages.
Number of resources: Cite a minimum of four peer-reviewed publications, not websites.
Font and font size: Use Times New Roman, 12 point.
APA: Follow APA style and formatting guidelines for all bibliographic entries. Refer to Evidence and APA as needed.

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and scoring guide criteria:

Competency 3: Evaluate the impact of patient care technologies on desired outcomes.
- Analyze current evidence on the impact of a selected patient care technology on patient safety, quality of care, and the interdisciplinary team.
- Integrate current evidence about the impact of a selected patient care technology on patient safety, quality of care, and the interdisciplinary team into a recommendation.
Competency 4: Recommend the use of a technology to enhance quality and safety standards for patients.
- Describe organizational factors influencing the selection of a technology in the health care setting.
- Justify the implementation and use of a selected technology in a health care setting.
Competency 5: Apply professional, scholarly communication to facilitate use of health information and patient care technologies.
- Create a clear, well-organized, and professional annotated bibliography that is generally free from errors in grammar, punctuation, and spelling.
- Follow APA style and formatting guidelines for all bibliographic entries. Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Fall Detection and Prevention Technology Systems

I chose the topic of fall detection and prevention systems because they play an integral role in ensuring the safety of patients, especially the elderly and patients with mobility impairment. Falls are considered a significant cause of injury among the elderly; thus, the importance of technologies for effective fall detection is exceptionally high in reducing incidents related to fall injuries and preventing more hospitalizations. The idea is thrilling because it uses emerging technologies, among them sensors and algorithms, for detecting falls in real-time with a mechanism of giving automatic responses, thereby ensuring better patient outcomes. This aligns with the objective of improving safety and quality in patient care.

The search was conducted using sources that pool a wide array of peer-reviewed healthcare information. These include PubMed, CINAHL, and Google Scholar. Searches were performed using such terms and their combinations as “fall detection systems,” “fall prevention technology,” “patient safety in nursing,” “elderly fall prevention,” and “sensor technology in healthcare.” Such search terms were bound to give me the most on-topic studies and reviews. The articles selected for review will provide valuable information on these systems’ effectiveness, implementation, and benefits in clinical nursing.

Annotated bibliography

De Raeve, N., Shahid, A., de Schepper, M., De Poorter, E., Moerman, I., Verhaevert, J., Van Torre, P., & Rogier, H. (2022). Bluetooth-Low-Energy-based fall detection and warning system for older people in nursing homes. Journal of Sensors, 2022, 1–14. https://doi.org/10.1155/2022/9930681.

This research article provides the design and implementation of a BLE-based fall detection and warning system explicitly targeting older adults in nursing homes. It aimed to alleviate the growing concern over fall accidents by older people by providing a state-of-the-art solution based on BLE 5.1 for fall detection and warning systems. The system developed included wearable devices with accelerometers used to detect a fall based on changes in acceleration and orientation. It is essentially an online data processing novel algorithm verified through a convolutional neural network. The fall-detection algorithm was reliable, with a few false alerts and effectively communicated to carers. The facility ensured the enhancement of patient safety from accurate and timely fall detections, reducing the medics’ response time.

The ability of the facility to detect a fall in its early stages ensured that the injuries from falls were not as severe as before. This, in turn, improved the quality of the patient’s life in nursing homes. The technology will be pretty helpful for the nurses as they do not have to manually monitor each patient, which is a very hectic job. Its efficiency and reliability make the nurses trust the alerts and respond quickly. Again, this technology helps improve patient safety and quality of care. The detailed methodology and the corresponding successful implementation of this BLE-based system provide a great model for integrating such technologies in other health setups to better patient outcomes. Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Ramachandran, A., & Karuppiah, A. (2020). A survey on recent advances in wearable fall detection systems. BioMed Research International, 2020, 1–17. https://doi.org/10.1155/2020/2167160.

This review article examines the current state of wearable fall detection systems, emphasizing the use of machine learning to enhance their precision and effectiveness. The article provides a holistic review of wearable fall detection systems by surveying the different technologies and methods used in research. The survey incorporates types of systems such as environment sensing-based systems, vision-based systems, and wearable sensor-based systems, including the machine learning algorithms used with wearable sensors. The authors examine the benefits and difficulties of each method in detail, helping the readers to understand the performance of different sensors and algorithms. They emphasize the vital role of trustworthy fall detection in preventing injuries and increasing the quality of life for elderly citizens. The blending of machine learning and wearable sensors increases the degree of autonomy of monitoring falls, eliminating the false positives and negatives. This consequently allows for early interventions preventing the occurrence of more severe injuries and hence contributing to patient safety and quality of care.

Through the use of high-tech fall detection schemes, nurses will be able to do their work more efficiently, particularly in nursing homes and long-term care facilities where patients are more fragile and vulnerable to falls. With an accurate detection and response system in place, nurses’ workloads are significantly reduced, and patients’ outcomes are improved. This publication is essential because it gives a thorough presentation of the current-day situation where wearable fall detection systems are exploited through machine-learning techniques, which thereby enhances their performance. The comprehensive review of the latest developments gives valuable hints that can help with the deployment of fall detection technologies for medical purposes. Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Nooruddin, S., Islam, M. M., Sharna, F. A., Alhetari, H., & Kabir, M. N. (2022). Sensor-based fall detection systems: a review. Journal of Ambient Intelligence and Humanized Computing, 13(5), 2735–2751. https://doi.org/10.1007/s12652-021-03248-z.

The paper extensively investigates the existing sensor-based fall detection systems, classifying them as single or multiple sensor-based systems. The review covers various sensors, including accelerometers, gyroscope depth cameras, infrared sensors, radars, and 802.11n NICs. It covers the techniques used for fall detection, threshold-based algorithms, and machine learning models, and it points out approaches that have particular benefits but also limitations. The review provides a taxonomy that aims to classify these systems and gives performance metrics such as accuracy, sensitivity, and specificity. Through the appraisal of numerous sensor-based systems, the article highlights the ability of these technologies to improve patient safety via reliable and timely fall detection. With the quick detection and response to falls and caregivers’ notification, the number of injuries is significantly reduced, and the quality of care for elderly individuals is improved considerably.

Nurses can gain expediently from knowing varieties of devices that use sensors for fall detection. This information helps them identify the most appropriate monitoring systems for their patients so that they can not only monitor their patients but also reduce their risk of suffering injuries due to falls. Thus, this publication is of great importance for healthcare professionals as it will provide an overview of the most recent advances in sensor-based fall detection systems. It offers a unique perspective on the effectiveness of several tools and approaches, thereby allowing healthcare professionals to base their choices for the implementation of fall detection systems in their practice on high-quality data.

Cortés, O. L., Piñeros, H., Aya, P. A., Sarmiento, J., & Arévalo, I. (2021). Systematic review and meta-analysis of clinical trials: In-hospital use of sensors for prevention of falls. Medicine, 100(41), e27467. https://doi.org/10.1097/md.0000000000027467. Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

This systematic review and meta-analysis explored the efficacy of sensor-based devices in reducing falls for admitted adults and older people. The present review identified three RCTs involving 29,691 patients: one systematic review studied the effect of sensors on beds, chairs, and other hospital furnishings. It was found that 3% of the intervention group suffered falls, against 2.4% in the control group, with an increase in the rate of falling of 19% in those exposed to sensors. This systematic review highlighted some methodological issues and suggested that portable sensors, in particular, require further research into their potential use in hospitals.

Based on these findings, it seems that sensors in a static form on the bed and chair in the hospital do not reduce the fall rate and may increase the risk. This is better considered with the technology in enhancing sensor and strategy implementation to maintain patient safety and quality care. Nurses will value the limitations of such systems based on sensors for fall prevention. This study further enhances the need to use sensor technology in combination with holistic care planning and ongoing monitoring to prevent falls and increase patient outcomes. Therefore, this article is essential in clearly and concisely evaluating the effectiveness of sensor-based fall prevention systems in the hospital environment. The articles establish that further research in the area of sensor technology is necessary, and the information therein is relevant to workers in the healthcare field to ensure the development of more effective strategies for fall prevention.

Summary of Recommendation

The four publications show the critical function of fall detection and preventive procedures in improving patient safety measures and quality of care. De Raeve et al. (2022) showed evidence that BLE systems were effective in quick fall detection, thus lowering the response time and severity of the injury. According to Ramachandran and Karuppiah (2020), the algorithms backed by machine learning can undoubtedly achieve the high precision of fall detection with a deficient number of false positives. According to Nooruddin et al. (2022), performance metrics and the selected sensor technology’s applicability in the real world play a vital role in this decision-making. Courtés et al. (2021) stressed the issue of non-wearable sensors and challenged a scientist to go for more wearable sensors in their design. The organizational factors that affected the choice of fall detection technologies selection include:

The development of policies that aim at prioritizing the safety of nurses.
Access to the technical and financial resources needed.
The cultural effect of the technology in use.
Commitment to continuous improvement.
The subsequent staff training for the use of the equipment. Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

In addition, team member empowerment and engagement are essential points for the implantation of these technologies.

The adoption of cutting-edge fall-detection automated devices in healthcare environments is endorsed by the proof of their capacity to enhance the level of patient safety and quality of care. The BLE-based sensing systems and wearable sensors, with the help of a machine learning process, can be relied upon for the detection of falls. This reduces the risk of severe injuries and patients with high satisfaction. The utilization of these technologies not only decreases the number of steps that nursing staff take but also enhances team productivity and makes staff happy. Thus, modern fall detection devices are certainly a significant investment that healthcare institutions can justify as an important part of a strategy for improving patient outcomes and safety. Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

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References

De Raeve, N., Shahid, A., de Schepper, M., De Poorter, E., Moerman, I., Verhaevert, J., Van Torre, P., & Rogier, H. (2022). Bluetooth-Low-Energy-based fall detection and warning system for elderly people in nursing homes. Journal of Sensors, 2022, 1–14. https://doi.org/10.1155/2022/993068

Ramachandran, A., & Karuppiah, A. (2020). A survey on recent advances in wearable fall detection systems. BioMed Research International, 2020, 1–17. https://doi.org/10.1155/2020/2167160 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing