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

NURS FPX 4045 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing. Assessment 3: Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing Capella University 4045 Instructor Name Due Date Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing I decided on smartwatches for this research because of their growing software program in healthcare, especially in the future, which could affect individual tracking and chronic ailment management. The benefit of this is that they can sing integral signs, stumble on early fitness problems, and hyperlink to virtual health statistics (EHRs) to help improve affected patient outcomes and beautify the healthcare workflow. With the increasing use of the wearable era in hospitals and the signs and symptoms, they want to assess its effectiveness, drawbacks, and long-term results on fitness care services. Furthermore, the study’s device entailed an integral assessment of peer-reviewed literature to determine the benefits and barriers to using smartwatches in health care. Applicable literature was retrieved from PubMed, CINAHL, Google Scholar, and many others as soon as possible. Looking for phrases used were “smartwatches in healthcare,” “wearable fitness generation,” “affected individual monitoring gadgets,” and “clinical packages of smartwatches.” in a few unspecified times inside the future of this study, one in every type belonging are assessed, A try has been made to boost an entire outlook on the feature of smartwatches in affected character care and interprofessional collaboration. 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 fitness care, tracking, nudging, and prediction. It highlights their promise of affected person fitness tracking, triggering extra healthy conduct, and using artificial intelligence (AI) for predictive evaluation. Troubles with record accuracy, privacy danger, usability, and device integration have additionally been touched upon in the research. Smartwatches promote affected character protection and amazing care with the useful resource of having non-stop monitoring of their fitness, contamination detection at an early stage, and individualized interventions. However, challenges remain regarding device reliability and data security when implemented in medical institutions. As discussed in the NURS FPX 4045 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing, the real-time data from smartwatches provides nurses and interprofessional teams with valuable insights for remote monitoring and preventive healthcare interventions. Integrating smartwatch data with EHRs supports interprofessional collaboration, informed 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 gadgets (e.g., smartwatches) in controlling chronic illnesses throughout numerous fields of medicine. It highlights their functionality to provide real-time monitoring of patients, decorate affected individual outcomes, and beautify affected character activation in care. The problem gives a few examples of use in cardiology, breathing properly-being, neurology, endocrinology, orthopaedics, oncology, and highbrow properly-being, directing toward their utility in assessing illness, rehabilitation, and enhancing illness management. The studies highlight the excellent impact on affected individual protection and fines through real-time monitoring, worry detection in a properly timed method, and customized interventions. However, they also consider particular troubles regarding record accuracy, privacy, integration, and affected person compliance. This article’s effect on nursing and interprofessional groups is that wearables facilitate scientific preference-making and affect individual-targeted 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 using big language models (LLMs) in processing wearable sensor data and smartwatch data for health tracking, human activity recognition, and behaviour modelling. It gives the advantages and disadvantages of using LLMs in sensor information processing, bringing real-time monitoring and customized treatment. Clever smartwatches with sensor music affect the character of coronary heart rate, interest, and physiological data, which offers us progressed strategies for tracking and alerting to approximate fitness states earlier. It gives superior persistent sickness management, emergency reaction, and tremendous care. NURS FPX 4045 Assessment 3 Evidence-Based Proposal and Annotated Bibliography on Technology in Nursing 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 look at every internal and external river of non-saving use of healthcare wearable devices, which incorporate smartwatches, using methods of healthcare professionals and the overall population. It examines the impact of customer behaviour, subjective improvement in fitness, and social forces on the sustained use of gadgets. The studies highlight that every internal (appreciation, ideals, attitudes) and external (generation, social factors) element is drastically affected by real-use behaviour. Healthcare experts’ correlations of these factors with the cause to apply have been better than most people’s. Social impact was diagnosed as a fundamental motivator for extended-period use. Smartwatches sell affected

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