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Respond to each reply with APA 7th ed format include one in-text citations each
Respond to each reply with APA 7th ed format include one in-text citations each reply from different sources 5 years old or more recent.
Reply from Jin Woo
“Time is brain” is a comon saying in medicine that stresses the importance of rapid treatment of cerebral vascular accidents. The typical stroke patient loses 1.9 million neurons per minute while the stroke is untreated (Saver, 2006).
Two key factors that are important for a successful interdisciplinary team approach are effective communication and knowing their algorithms.
I have treated stroke patients in the emergency department and the initiation of treatment begins with emergency department services. Our emergency department receives a call from the field for a stroke alert, and EMS gives a report to a nurse in our emergency department. Critical information includes neuro deficits, last known well, and a Los Angeles Motor Scale (LAMS). It is up to EMS to know their stroke algorithm, and know that if a patient’s LAMS score is greater or equal to 4, the patient must go to a comprehensive stroke center. Not knowing this critical piece of information could yield worsened patient outcomes.
When the patient touches down into our emergency department touches down into our ED, the patient goes straight to the stroke gurney where the attending does their assessment. Effective communication is important at this stage because multiple parties need to be aware of the situation that is going on.
The emergency department technician then needs to take the patient to CT scan; The CT scan technician needs to be alerted that there is a stroke patient in the hospital to stop operations and make availability for the stroke patient; the tele neurologist needs to be notified to perform their assessment and give their recommendations; the charge nurse needs to be aware to decide which bed the patient will be going to after the CT scan. When each individual knows and understands their role in treating a stroke patient, the process can move along smoothly.
The necessity for effective communication is further stretched beyond the emergency department when the patient gets admitted onto the floors — there needs to be an effective emergency department to admitting floor nurse report, and further hand off reports between the admitting floor nurses at shift change. Many health care professionals are involved in the care of a stroke and it is imperative that each individual understands their portion in the bigger picture of care.
Reply from Darlin
Reducing Stigma Around Mental Health in Nursing Practice
Mental health stigma is a significant barrier for people seeking help for conditions like schizophrenia, mood disorders, anxiety disorders, PTSD, and OCD. As nurse practitioners (NPs), we can play a vital role in promoting open communication and reducing stigma. Here are some effective strategies:
Education and Awareness
Providing education to patients and their families about mental health can help combat stigma. Workshops or seminars addressing common misconceptions can make a difference. Research shows that education significantly reduces stigma (Corrigan et al., 2012).
Creating a Supportive Environment
Creating a welcoming environment in our practices is essential. Training staff to use respectful language and actively listen to patients encourages open discussions, building trust (Henderson et al., 2013).
Advocating for Policy Change
NPs can advocate for mental health awareness in the community by partnering with local organizations. Supporting initiatives that reduce stigma and improve access to services is crucial (Friedman et al., 2018).
Incorporating Peer Support
Integrating peer support programs helps connect patients with shared experiences, normalizing their feelings and reducing isolation.
Reply from Leslie
“Human-centered design applies design thinking principles, which focus on learning and discovery, to solve the real-world challenges of everyday people (Accenture, 2024).” This design puts people’s needs and experiences first. An example of human-centric HIT would be telemedicine, which allows patients to consult with their doctor remotely and makes healthcare more accessible, especially for those in remote areas.
“Autocentric HIT in healthcare focuses on utilizing technology to make autonomous decisions and provide guidance to healthcare professionals (Human-centric vs. automation-centric hit: Approaches in the healthcare industry – peachy tutors 2023).” An example of auto-centric HIT in healthcare is robotic surgery; this is when a robot assists surgeons in performing precise and minimally invasive surgeries with improved outcomes and reduced recovery times.
I feel these are appropriate approaches to practices. There is a place for both autocentric and human centric technology. I don’t feel one will ever overtake the other. Automation can help prevent human errors, but there is an aspect of healthcare that only human contact can suffice. For example, a person’s vital signs may all be within normal range, but as the nurse looks at the patient, they just don’t look right, and the patient soon declines. There is a certain feeling healthcare practitioners get when something is wrong that a computer will never be able to have. I believe both HIT technologies work best when they are combined to ensure the utmost safety for the patient.
References:
Accenture. (2024, March 6). Human-centered design for Healthcare. https://www.accenture.com/us-en/insightsnew/us-federal-government/human-centered-design-healthcareLinks to an external site.
Human-centric vs. automation-centric hit: Approaches in the healthcare industry – peachy tutors. Peachy Tutors | Online Homework Help. (2023, October 5). https://peachytutors.com/human-centric-vs-automation-centric-hit-approaches-in-the-healthcare-industry/Links to an external site.
Reply from Tatyana
Health Information Technology keeps evolving by blending human-centric and automation-centric approaches to move forward in patient care. These two frameworks are comparable to the philosophies of Boeing and Airbus in the aviation sector. Human-centric HIT, like Boeing’s pilot-centered notion, focuses on clinician control, allowing the healthcare professional to make the final decisions after the systems have given recommendations. Automation-centric HIT is quite like Airbus’s automation-led approach where, when necessary, the systems override human input for efficiency and safety.
Human-centered HIT systems, such as electronic health records, support decision-making by providing clinicians with alerts and suggestions while still allowing them to be in control. The supportive role of such systems is welcomed in complex clinical environments where the expertise of healthcare providers is irreplaceable. Wang et al. (2023) noted that although AI-embedded systems enhance clinical decision-making, user adoption typically depends on whether the system is transparent and integrated into clinical workflows. Clinicians might resist systems they do not understand, emphasizing the need for human oversight (Wang et al., 2023).
Conversely, systems designed around automation, like closed-loop insulin delivery (artificial pancreas), minimize human mistake rates since they automate most routine tasks. Such systems independently regulate insulin levels by prioritizing patient safety without humans constantly intervening. Templer (2022) pointed out that automation represents an environment of high accuracy and, hence, becomes indispensable in a diabetes management context where continuous assessment in real time is necessitated to achieve optimum outcomes with clinicians always available (Templer, 2022).
Both methods have relative merits, and their applicability depends on a particular clinical context. Classen et al. (2020) point out that the hybrid model balances human oversight with automation, trying to reduce workload and optimize healthcare efficiency. Clinicians can devote their time and expertise to complex cases, often trusting automation to sift through several repetitions to streamline the healthcare environment (Classen et al., 2020).
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