- NURS FPX 4055 Assessment 1 Health Promotion Research.
Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing
I am determined to take a look at them, considering that they are quickly becoming crucial in healthcare, far-off healthcare, and persistent disorder management. The gain involved in this is that they can display indispensable symptoms and signs, music prodromal symptoms, and signs and symptoms of sickness, and be interoperable with digital health information (EHRs) if you want to facilitate higher affected character consequences and the effectiveness of the healthcare tool.
Greater utilization of wearable generation in a scientific setting raises the need for an evaluation of its efficacy, deficiency, and long-term effect on health care delivery. Without this, they have a study approach concerned with peer-reviewed magazines seeking published papers to find out the strengths and barriers of smartwatches’ use in health care.
Applicable literature was searched for in PubMed, CINAHL, Google Scholar, and so forth. applicable phrases that have been relevant have been “smartwatches in remedy,” “wearable healthcare era,” “affected individual tracking gadgets,” and “clinical packages of smartwatches.” The resources have been contrasted for the aim of this research in education for having a valid common understanding of the affected person’s care and inter-professional work usage of smartwatches. Explore NURS FPX 4055 Assessment 2 for more information.
Annotated Bibliography
Köhler, C., Bartschke, A., Fürstenau, D., Schaaf, T., & Salgado-Baez, E. (2024). The value of smartwatches in the health care sector for monitoring, nudging, and predicting: Viewpoint on 25 years of research. Journal of Medical Internet Research, 26(1). https://doi.org/10.2196/58936
The journal classifies smartwatches’ capability in fitness care as tracking, nudging, and predicting. They applied those to limit their capacity to track sufferers’ fitness, guide them to be, and use synthetic talent (AI) to look ahead. Accuracy of data, privacy, ease, and network connection, moreover, stand out as referred to in the studies. Smartwatches offer amazing care and patient protection via ordinary tracking of their health, detection of preclinical illness, and taking matters into their own hands.
However, to make use of it in clinical practice, some gaps need to be addressed concerning the functioning of the tool, similar to the confidentiality of records. Smartwatches offer real-time records that include integrated patient care data for nurses and interprofessional groups to make use of remote monitoring and infection prevention plans in healthcare. Integration of smartwatch facts into EHRs permits care coordination and interprofessional decision-making. To healthcare specialists, it is a beneficial guide inside the field that offers insight into the software program of smartwatch generation for both functions, which it has to address, and some of the limitations that must be met before embracing the era of exercising.
Jafleh, E. A., Alnaqbi, F. A., Almaeeni, H. A., Faqeeh, S., Alzaabi, M. A., & Zaman, K. A. (2024). The role of wearable devices in chronic disease monitoring and patient care: A comprehensive review. Cureus, 16(9). https://doi.org/10.7759/cureus.68921
NURS FPX 4055 Assessment 1 Health Promotion Research
This assessment article makes a name for using wearable fitness devices (e.g., smartwatches) in persistent disorder manipulation in all specialties of medicine. They’ll be used to express the needs of patients, decorate the final results of the affected individual, or engage the affected individual further in care. It’s far-reaching in terms of its functionality in cardiology, respiratory disease, neurology, endocrinology, orthopaedics, oncology, and high-level contamination in terms of its ability to address sickness, resource rehabilitation, and the management of sickness.
The element speaks of affected individual protection and quality care that wearables have been able to provide with real-time tracking, in advance detection of complications, and extra specific intervention. It additionally discusses such devices as fact accuracy troubles, risk to privacy, integration problems, and affected character nonadherence. What is valued in this article, especially to nursing and multidisciplinary organizations, is that wearables offer medical decision-making and affect individual-focused care. That is a delivery decided on because it super-represents the extended discourse that it provides on all the benefits and disadvantages of wearable generation in the actual exercise of patient care at present.
Ferrara, E. (2024). Large language models for wearable sensor-based human activity recognition, health monitoring, and behavioral modeling: A survey of early trends, datasets, and challenges. Sensors (Basel, Switzerland), 24(15). https://doi.org/10.3390/s24155045
The paper gives the utility of huge language models (LLMs) to interpret sensor statistics, i.e., smartwatch wearables, health tracking, hobby popularity, and human conduct modelling prediction. It offers the advantages and downsides of LLM software to leverage positioning sensor statistics interpretation vis-a-vis real-time tracking and customized remedy.
Affected person safety is complemented via the use of smartwatches that embody affected men’s or women’s coronary heart rate, activity, and physiologic information sensors to provide us with improved avenues for tracking and alerting patients to fitness complications in a timely fashion. It offers improved chronic contamination control, emergency preparedness, and gorgeous care that is not unusual. The item reminds us that LLMs are going to enhance the accuracy of fitness record interpretation or assist evidence-based decision-making alongside and through nurses and multidisciplinary corporations.
This newsletter was once as quickly as determined as it alleged to hyperlink wearable generation to AI-assisted evaluation and provide suggestions for future healthcare improvements. Healthcare specialists want records about the software of smartwatches and AI for the most beneficial affected character results and excellent care.
Lee, S. M., & Lee, D. (2020). Healthcare wearable devices: An analysis of key factors for continuous use intention. Service Business, 14(4), 503. https://doi.org/10.1007/s11628-020-00428-3
NURS FPX 4055 Assessment 1 Health Promotion Research
This study considers doors and inner determinants of prolonged-time period healthcare wearable technology adoption, e.g., smart watches, via the overall populace and healthcare professionals. This research explains how a character’s behaviour, fitness benefit perception, and social determinants affect generation utilization over a long time. The object summarizes that there are external (social and era) and internal (ideals, understanding, and attitudes) determinants that influence real-use behaviour. Healthcare experts had a greater volume of similarities in the motives of use and determinants of use as compared to the population in preference.
Social effect was once a key motivation for prolonged use. The smartwatches enhance affected character protection by facilitating real-time tracking of patients’ health, early detection of illness before reaching life-threatening levels, and off-monitoring for reinforcing the exquisite care supplied. For scientific doctors and nurses, the devices beautify patient tracking and health. Prevention This research is pragmatic in that it offers empirical evidence for drivers of adoption and prolonged-term use, which is well worth attention from policymakers and scientific medical doctors who want to embody the wearable era as an issue of treatment for patients.
Kumar, S., & Banerjee, A. (2023). Artificial intelligence-enabled smartwatch used for the detection of idiopathic ventricular tachycardia: A case report. Cureus, 15(7). https://doi.org/10.7759/cureus.42054
The purpose of this example report is to present a case for AI and smartwatch software in the detection of cardiomyopathy-delivered, idiopathic ventricular tachycardia (VT). Based on Theonstrt, AIAI-based wearable technology with cardiac sensors can detect abnormal heartbeats and summon emergency medical services. A 55-12 months-old12-month-oldd man or female went to a systematic doctor’s hospital after his smartwatch notified him of an abnormally accelerated heartbeat in the state of affairs provided. VT was subsequently taken and confirmed, resulting in effective intervention and next control.
AI-based smartwatches are capable of detecting when heart problems are occurring, so extreme headaches are averted. In real-world packages, such gadgets are different clinical systems used by clinical practitioners for early detection and intervention in cardiological health treatment. Similarly, the AI era offers a far-reaching tracking and prevention remedy for interdepartmental nurses and professionals. Of most interest to medical practitioners, this piece provides us with an insight into the approach AI is getting used to as a thing of the wearable generation. Furthermore, it lays down the truth that there may still be a few tries to be made to decide its validity and medical validity, so its use in the evaluation of cardiac sickness can be made available.
Artificial Intelligence (AI)
It, overall, enhances health-care performance and patients’ and nursing practice since it’s really smart for oxygen, pulse, and blood-pressure monitoring by a brain-function-imitating algorithm that picks out unusual patterns such as arrhythmia and continually shows to health professionals and patients the early warning signs at which some intervention might be necessary. Nurse practice is maintained by artificial intelligence through double human-decision-supported sign and symptom documentation. The documentation is removed. Signs and symptoms are taken from always-monitored smartwatches online.
Summary of Recommendations
Smartwatches facilitate enhanced patient safety, quality of care, and interprofessional communication. Köhler et al. (2024) classify their functions as monitoring, nudging, and prediction, with advantages of early detection of disease and tailored intervention, and disadvantages of the accuracy of data and privacy issues. Jafleh et al. (2024) report that their success with chronic diseases in every aspect of medicine, enhancing patient outcomes through ongoing monitoring and early complication detection.
Organizational Factors
Organization insurance, convenient useful support, painting surroundings, agreement leadership, learning sport, and inspiring employees are listed as reasons why smartwatches should be used in medicine. Reliability, precision, and adoption problems all require fixing because data protection, confidentiality cover, and system portability are all on the agenda (okayöhler et al., 2024). Finally, open insurance requires safe deployment and compliance, and proper management must be ensured. Capital infrastructure and information technology also play a role in ensuring this (Lee & Lee, 2020).
Justifying the Implementation
The use of smartwatches in healthcare is rational on their part, given the role they play in improving patient care, organizational efficiency, and communication between professions. Use is mirrored in literature when considering the ongoing tracking of one’s health to identify at an earlier moment such conditions as atypical heart rhythm patterns and how easily intervention may be offered when the moment has come (Kumar & Banerjee, 2023). It enhances patient outcomes along with overall safety. Apart from that, smartwatches improve the management of chronic diseases by offering real-time data to inform individuals’ treatment regimens and prevention measures (Jafleh et al., 2024).
Conclusion
Medial treatment is supplemented with the utilization of smartwatches that improve patient observation, illness forecasting, and cross-professional integration. Decision support and workflow optimization are achieved more by the interoperability of EHR. Usage and data safeguarding are tricky, but simpler to utilize with excellent policy and education. Smartwatches eventually culminate in employee effectiveness, quality care, and patient safety, and are an excellent device for medicine today.