Capella FPX 4045 Assessment 3

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• NURS FPX 4045 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing.

Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

Capella University

NURS-FPX4045

Professor Name

Date

Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing

I decided on smartwatches for this study because of their growing software program in healthcare, particularly within the destiny, which can affect character monitoring and persistent disease management.

The advantage of that is that they could identify necessary symptoms, come across early fitness problems, and link to digital fitness records (EHRs) to help improve affected individual outcomes and enhance the healthcare workflow. With the increasing use of wearable technology in hospitals, they need to assess its effectiveness, drawbacks, and long-term effects on fitness care services. Furthermore, the study’s tool entailed an imperative evaluation of peer-reviewed literature to determine the benefits and limitations of the usage of smartwatches in health care.

Applicable literature was once retrieved from PubMed, CINAHL, Google Scholar, and plenty of other sources as soon as possible. Looking for phrases used were “smartwatches in healthcare,” “wearable health era,” “affected individual tracking devices,” and “scientific packages of smartwatches.” in a few unspecified instances in the destiny of this examination, one in every type belonging are assessed, A try has been made to enhance a whole outlook on the feature of smartwatches in affected individual care and interprofessional collaboration. Explore Capella FPX 4045 Assessment 4 for more information.

Annotated Bibliography

good enoughöhler, C., Bartschke, A., Fürstenau, D., Schaaf, T., & Salgado-Baez, E. (2024). The price of smartwatches inside the fitness care area for monitoring, nudging, and predicting: a viewpoint on 25 years of studies. Magazine of Scientific Internet Research, 26(1). https://doi.org/10.2196/58936

The paper classifies the software programs of smartwatches into health care, monitoring, nudging, and prediction. It highlights their promise of affected individual health monitoring, triggering greater wholesome behaviour, and the usage of artificial intelligence (AI) for predictive evaluation. Troubles with report accuracy, privacy, chance, usability, and tool integration have additionally been touched upon within the research. Smartwatches provide affected men or women with safety and magnificent care, with the valuable resource of non-invasive tracking of their fitness, infection detection at an early stage, and individualized interventions.

However, demanding situations remain regarding tool reliability and information security when applied in medical establishments. As mentioned within the NURS FPX 4045 assessment, three evidence-based proposals and an Annotated Bibliography on technology in Nursing, the real-time facts from smartwatches present nurses and interprofessional teams with valuable insights for remote tracking and preventive healthcare interventions. Integrating smartwatch statistics with EHRs supports interprofessional collaboration, knowledgeable decision-making, and streamlined care coordination.

To healthcare professionals, that might be an essential supply within the method. It offers an in-depth criticism of the software application program of the smartwatch generation for the benefits it gives and some of its shortcomings, which may be precious to understand in advance of using the era in a scientific workout. Jafleh, E. A., Alnaqbi, F. A., Almaeeni, H. A., Faqeeh, S., Alzaabi, M. A., & Zaman, ok. A. (2024). The software application of wearable devices in tracking chronic ailments and affected person care: a systematic evaluation. Cureus, sixteen(nine). https://doi.org/10.7759/cureus.68921

Wearables in Chronic Care

This evaluation paper addresses the software of wearable health devices (e.g., smartwatches) in controlling chronic ailments in several fields of medicine. It highlights their functionality to provide real-time monitoring of patients, enhance affected individual consequences, and enhance affected character activation in care. The hassle offers some examples of use in cardiology, breathing well-being, neurology, endocrinology, orthopaedics, oncology, and highbrow well-being, directing in the direction of their application in assessing infection, rehabilitation, and improving infection control.

The studies spotlight the extraordinary impact on affected individual protection and fines via real-time tracking, fear detection in a well-timed approach, and custom-designed interventions. However, they also think about unique issues concerning document accuracy, privacy, integration, and affected individual compliance. This text’s impact on nursing and interprofessional corporations is that wearables facilitate clinical decision-making and affect individual-centred care.

This source used to be as quick as determined because it is by far the most preferred choice close to the central evaluation of the advantages and constraints of wearable generation in exercising contemporary affected character care. Ferrara, E. (2024). Large language models for wearable sensor-based human interest recognition, health monitoring, and behavioural modelling: A survey of early tendencies, datasets, and worrying conditions. Sensors (Basel, Switzerland), 24(15). https://doi.org/10.3390/s24155045

This paper discusses the usage of large language models (LLMs) in processing wearable sensor data and smartwatch facts for health monitoring, human pastime recognition, and behaviour modelling. It offers the blessings and drawbacks of the usage of LLMs in sensor data processing, bringing real-time monitoring and customized treatment. Smart smartwatches with sensor music affect the individual’s coronary heart rate, interest, and physiological data. This offers us step-forward strategies for monitoring and alerting to approximate health states earlier. It gives superior continual sickness management, emergency reaction, and great care.

The manual emphasizes that LLMs could decorate the interpretation of tremendous health facts, guide nurses, and circulate-disciplinary organizations in making sounder selections. This supply has been determined because it aligns wearable tech with AI-led evaluation to make certain perceptions in destiny healthcare improvement. Healthcare businesses want to recognize how smartwatches and AI can optimize the results of the affected individual and streamline care tremendously. Lee, S. M., & Lee, D. (2020). Healthcare wearable devices: studies of the most important drivers of non-preventive use. organization business enterprise, 14(4), 503. https://doi.org/10.1007/s11628-020-00428-3

They examine each internal and external use of non-saving healthcare wearable gadgets, which comprise smartwatches, using strategies of healthcare specialists and the general population. It examines the impact of consumer behaviour, subjective development in health, and social forces on the sustained use of devices. The research highlights that each internal (perception, beliefs, attitudes) and outside (generation, social factors) element is notably stricken by actual-use behaviour. Healthcare professionals’ correlations of those factors with the reason to apply have been better than the general public’s.

Social impact used to be recognized as a fundamental motivator for prolonged-period use. Smartwatches promote affected men’s health and safety through real-time monitoring of fitness, early disease detection, and remote care, consequently improving the quality of care. For healthcare companies and nurses, smartwatches facilitate the monitoring and proactive management of fitness for inexperienced affected people. It is beneficial research because it gives empirical evidence on drivers of adoption and sustained use; healthcare specialists and policymakers want to undertake the wearable era in affected individuals., S., &affected individuals, BanerA. (2023). Artificial intelligence-enabled smartwatch used for detecting idiopathic ventricular tachycardia: A case file. Cureus, 15(7). https://doi.org/10.7759/cureus.42054

AI Wearables Detect Arrhythmia

This example file aims to explain AI and smartwatch software programs detecting cardiomyopathy caused by idiopathic ventricular tachycardia (VT). The test demonstrates how wearable technology with an AI-powered characteristic and coronary heart rate sensors can detect an unusual cardiac rhythm and speak to on-the-spot medical interest. A fifty-five-year-old male who presented to a clinical medical doctor’s clinic following a commutation of an overly raised heart rate via his smartwatch is the subject of the case record.

VT used to be as soon as, then examined, which was once as quickly as fast confirmed and caused a successful remedy and continual manipulation. AI-based totally smartwatches can assist in detecting a stumble in which coronary heart problems arise earlier, so severe headaches are avoided. In the real way of life, scientific practices, the devices are unique equipment fitness care experts use to assist in early intervention and detection of maintaining a healthy heart.

The AI era, moreover, allows for far-flung monitoring and preventive care for interdisciplinary companies and nurses. Of specific interest to fitness experts, this text highlights how AI is a further trouble for the wearable era. It additionally demonstrates that there may be more to be done to validate its validity and scientific validity, which helps you determine its capability to diagnose cardiac conditions.

Artificial Intelligence (AI)

Smartwatch AI enhances the impacted person, nursing workflows, and overall scientific performance by associating tips, signs, and symptoms with heart rate and blood pressure.

All such information is processed in real-time, and the usage of algorithms is biased closer to figuring out conditions together, like likes and notifications. Additionally, the sufferers come together in companies for advanced intervention.

AI-facilitated smartwatches mechanize nurses’ workflow, reduce manual statements of fundamental symptoms and symptoms, and rule out the gap between the affected character and monitoring. Early warning of health difficulty is made much less complicated; properties are more environmentally friendly, and advanced individual care is attained. Similarly, AI-processed smartwatch records are merged with EHRs to pick residences with superior sound medical decision-making and inter-expert communication. A case study has been conducted to evaluate the functionality of an AI-enabled smartwatch to set out VT, which is essential to on-the-spot clinical sessions (Kumar & Banerjee, 2023). This verifies the capability of the AI-enabled wearable age in optimizing affected individual outcomes and justifies reading it to ensure accuracy and reliability in clinical applications.

Summary of Recommendations

Smartwatches permit the protection of affected people through thorough warning and professional cooperation. enoughöhler et al. (2024) categorize their functionalities as tracking, nudging, and prediction, listing advantages collectively with early illness identity and individualized interventions, even mentioning obstacles, which include facts, accuracy, and confidentiality. Jafleh et al. (2024) are aware of their effectiveness in prolonged-time period situation control in awe-inspiring areas of medicine, maximizing affected man or woman results via real-time observation and early trouble identification.

Ferrara (2024) evaluates the method by which smartwatch sensors show physiological facts, enhance continual disorder manipulation and emergency reaction, and facilitate medical decision-making. Lee and Lee (2020) record the determinants of prolonged smartwatch use, client behaviour, and social determinants of patient and healthcare practitioner adoption.

Capella FPX 4045 Assessment 3

Kumar and Banerjee (2023) document a case of software that uses a smartwatch for coronary heart rate monitoring to detect a probable deadly illness, justifying the use of its software in early intervention. A focal point on usability, safety, and interoperability will constrain the usage of smartwatches in fitness.

Organizational Factors

Organizational insurance, transport availability, on-foot life, control, schooling insurance, and worker involvement were associated with the adoption of smartwatches as an option in health. Accuracy, reliability, and adoption problems are most pertinent because safety, privacy, jail signs, and tool integration are all on their own. For that reason, open hints for the technique to facilitate compliance and impermeability ought to be addressed. Furthermore, monetary functionality and IT infrastructure upload feasibility are necessary (Lee & Lee, 2020).

In addition, the organizational functionality of adopting real-time scientific tracking and fact strategies can be the adoption of smartwatches. Adoption is solely based upon organizational lifestyle because the frame of a collection of employees’ sentiments and socialization affects extended use. This strength of mind, discovered with the resource of adequateöhler et al. (2024), guarantees clean implementation just like sufficient employee schooling for smartwatch generation utilization. In the long run, smartwatches are used for fantastic care for affected men or women through the valuable aid of tracking patients and developing simultaneously as an integral part of the system, providing usage in gyms. Its incorporation into medical settings is finished while ensuring that the empowerment of the healthcare facility is used comparably.

Justifying the Implementation

Smartwatches in healthcare are warranted as they contribute to affected personal care, average overall organizational performance, and interprofessional exercising. It may be set up in non-preventive well-being monitoring to diagnose easy sicknesses, along with unusual heart rhythms, and to provide well-timed interventions (Kumar & Banerjee, et al.). It will affect men’s or women’s consequences and regular safety.

Moreover, smartwatches facilitate the advanced management of continual ailments by presenting immediate data that could advocate unique treatment techniques and contamination prevention mechanisms (Jafleh et al., 2024).

Smartwatches Enhance Patient Care

Proof for the use of smartwatches in healthcare involves facilitating gains through men or women stricken by electrical care, organizational overall performance, and expert exercise amongst collaboration. It is a long way substantially described that they are liable for ongoing tracking of health and can permit the identity of symptoms and symptoms and signs and symptoms and signs and symptoms and signs and symptoms and symptoms and signs and symptoms and symptoms and signs and symptoms and signs and signs and symptoms and symptoms and signs and symptoms and symptoms and signs and signs and symptoms and signs and symptoms and symptoms and symptoms at an in advance diploma which encompass arrhythmia coronary coronary coronary coronary heart rhythms and brief reaction (Kumar & Banerjee, 2023). It encompasses enhancing patients’ results with the element of contemporary protection.

Smartwatches allow the manipulation of chronic infection with properly timed provision of records to benefit and aid custom-designed treatment, much like prophylactic treatment intervention (Jafleh et al., 2024). Clinical physicians, furthermore, trade messages with each other utilizing internal digital health facts (EHRs) to manual workflow and teamwork preference-making (enoughöhler et al., 2024). Appropriate training plans and patronage management, moreover, play a role in adopting stress, which humans may want to use to leverage the generation (Lee & Lee, 2020).

Smartwatches facilitate brand-new patient tracking via decreased manual work and increased productivity (Ferrara, 2024). On the other hand, their use advances private delight, worker retention, and top-notch care and, therefore, deserves inclusion in scientific sports activities.

Conclusion

Health centre remedy is specifically appropriate with smartwatches that enhance the tracking of affected men or women, the early detection of illnesses, and interprofessional coordination. Workflow and decision-making are supported through integration with EHRs. As seen within the NURS FPX 4045 assessment, three evidence-based concepts and an Annotated Bibliography on the era in Nursing, regardless of constraints like schooling and coverage implications, recordability, and safety, wearable era use is justified. Ultimately, smartwatches improve people’s productivity and provide high-quality care for first-class employees. They are, consequently, a fundamental property in current healthcare.

References

1. https://doi.org/10.3390/s24155045
2. https://doi.org/10.7759/cureus.68921
3. https://doi.org/10.2196/58936
4. https://doi.org/10.7759/cureus.42054
5. https://doi.org/10.1007/s11628-020-00428-3