NURS FPX 4030 Assessment 4 Remote Collaboration and Evidence Based Care Capella university NURS-FPX 4030 Making Evidence-Based Decisions 

Remote Collaboration and Evidence-Based Care Hello, my name is Hypo, and today I will present about the revolutionary field of remote collaboration and evidence-based care of stroke patients. A stroke is an emergency situation that arises when blood flow to your brain is disrupted (Johns Hopkins Medicine, 2023). Remote collaboration for stroke patients means eliminating physical distance as a barrier to teamwork. It is proliferating and open to everyone because of technological advancements and decreased costs. Necessary hardware for remote collaboration usually consists of a smartphone, Liquid Crystal Display (LCD), and Personal Computer (PC) with remote control and conferencing features.  Evidence-Based Care Plan We used a motivational mass individual strategy, including mobile phone applications that achieves optimal individual-based primary stroke prevention. It helps evaluate cardiovascular history and variable risk factors (like obesity, hypertension, and smoking) using an affordable screening technique. After that, this data is connected to national, regional, or local electronic health databases. The global impact of such approaches is shown by easy-to-use resources like the Stroke Risko-meter app, which is available in 19 languages across 78 countries and has the potential to reach 5.3 billion people (Owolabi et al., 2021).  Apple’s Health-Kit platform, which tracks multiple vital signs, dramatically accelerates the gathering and exchanging of patient data. It helps prevent expensive events like expensive imaging, strokes, or hospital stays. Telehealth also assists in reducing failure to take medication, which is a common cause of preventable death in cerebrovascular disease (Schwamm, 2019). Evidence-Based Practice Model We used the Collaborative Care Model (CCM) exercise technique that boosts functional recovery and improves the quality of life for stroke individuals. We used financial and human resources to encourage patients and their family members to participate actively in their care. It improves patients’ overall quality of life by allowing them to care for themselves. In collaborative care, nurses step far from traditional learning methods (Wu et al., 2020). We found meta-analyses for VR rehabilitation for the upper limb after stroke by searching Ovid-MEDLINE, Ovid-EMBASE, the Cochrane Library, and Korea-Med online (Kim et al., 2020). This pattern is evident in several disciplines, including education and medicine (Druta et al., 2021). Benefits The effect of telemedicine on stroke patients reduces hospital stays and is economically feasible (Sobhani et al., 2021). It helps prevent expensive events like expensive imaging, strokes, or hospital stays. Telehealth also assists in reducing failure to take medication, which is a common cause of preventable death in cerebrovascular disease (Schwamm, 2019). Rehabilitation of stroke patients meets a number of difficulties, including costs, transportation issues, lack of skilled workers, and restricted equipment access. Tele-rehabilitation (TR) has become an effective means to reduce expenses and improve accessibility and privacy to patients (Knepley et al., 2020). People who own tablets, laptops, and desktop computers can readily make use of telehealth applications, which link them to medical professionals who are qualified to diagnose, track, and treat a variety of acute and chronic conditions. Growing recognition of telehealth as an efficient and effective tool for improving healthcare outcomes and access is in line with technology advancements. Most Relevant Evidence Virtual reality-based telerehabilitation is the most relevant evidence for stroke patients close to the problems and limitations of traditional in-person rehabilitation. The use of simulation technology in stroke rehabilitation has produced positive outcomes on mobility, cognition, daily living activities, and quality of life (Hao et al., 2023). It is helpful in situations when a stroke patient is immobile as a result of a coma, fracture, and paralysis where time is of fundamental worth. Information and communication technology (ICT) transfers information instead of depending on humans (Gogia, 2020). Hub & spoke tele-stroke system effectively improves acute stroke care at spoke places.  The tele-stroke project is a collaborative work on the remote diagnosis of suspected stroke patients. Promising outcomes were obtained from early simulations carried out in a supervised environment with simulated patients. It is used to support hands-free teleconsultations. The tele-stroke model integrates computer vision techniques and machine learning (ML) methods, leading to a computer-assisted real-time diagnosis (Croatti et al., 2022).  Rationale Implementing the treatment protocol and team training sessions based on in situ simulation for stroke thrombolysis led to a notable reduction in time from arriving str