The Super Nurse Podcast

Brooke Wallace
  • 3.7 (3)
  • COURSES
  • UPDATED SEMIWEEKLY

The Super Nurse Podcast is for nursing students taking NCLEX, new graduate nurses, and working nurses who want to level up their game. This podcast helps you survive nursing school, thrive in clinicals, and step confidently into real-world practice as a Super Nurse— guided by 20-year ICU nurse Brooke Wallace, RN, BSN, CCRN, CPTC. 👉 Train smarter. Build confidence. Become a Super Nurse. Visit supernurse.ai for AI-powered tools, study support, and next-generation nursing resources. Powered by AI and real-world nursing experience, each episode delivers conversational, supportive insights based on the most common questions and challenges faced by student and new graduate nurses. Think of it as a focused study session — blending evidence-based strategies, clinical pearls, encouragement, and confidence-building guidance in a way that actually sticks. Whether you’re tackling pharmacology, preparing for clinicals, studying for the NCLEX, or learning how to manage your first 12-hour shift, The Super Nurse Podcast helps you grow stronger, sharper, and more resilient — from student nurse to confident clinician. Inspired by the real FAQs nurses ask, we answer the questions that matter most: How do I survive pharmacology? How do I speak to patients with confidence? What should I expect on my first 12-hour shift? Created by seasoned ICU nurse Brooke Wallace, each episode delivers practical study tips, NCLEX prep strategies, and real-world clinical wisdom, alongside honest conversations about the realities of nursing school and early practice. 👉 Train smarter. Build confidence. Become a Super Nurse. Visit supernurse.ai for AI-powered tools, study support, and next-generation nursing resources.

  1. From Vasopressors to ECMO: How Nurses Understand Afterload

    1D AGO

    From Vasopressors to ECMO: How Nurses Understand Afterload

    Check out SuperNurse.ai for unique comic books for nurses and AI powered learning. The Core Concept: Afterload Afterload is the resistance the heart must overcome to eject blood. Think of stroke volume like a balloon: Preload → how much air is inside the balloon Contractility → how hard you squeeze the balloon Afterload → the tight knot at the end of the balloon The tighter the knot, the harder the heart must work to push blood out. When afterload becomes too high, the heart struggles to eject blood and cardiac output falls. Why High Afterload Is Dangerous When the left ventricle pumps against high resistance (such as severe hypertension or a stiff aortic valve), wall stress rises dramatically. Over time the heart adapts by developing concentric hypertrophy: The ventricular wall thickens to compensate for the pressure. But this compensation creates a new problem: The ventricle becomes stiff and cannot relax properly. This leads to: poor ventricular filling diastolic heart failure eventually systolic heart failure How Nurses Recognize High Afterload Critical care nurses often detect afterload problems through bedside assessment before numbers confirm it. Signs of high afterload: pale or mottled skin cold extremities weak peripheral pulses delayed capillary refill narrow pulse pressure high systemic vascular resistance These patients often appear clamped down and poorly perfused. Signs of Low Afterload Low afterload occurs when blood vessels lose tone, such as in distributive shock. Common bedside findings include: warm flushed skin bounding peripheral pulses wide pulse pressure low diastolic pressure This is commonly seen in early septic shock. Measuring Afterload: Systemic Vascular Resistance Systemic vascular resistance (SVR) is used to quantify afterload. Typical normal range: 800–1200 High SVR indicates vasoconstriction. Low SVR indicates vasodilation. Pulmonary artery catheters allow clinicians to calculate SVR using cardiac output and pressure measurements. Medications That Change Afterload Vasodilators (Decrease Afterload) Examples include: Nitroprusside Milrinone These medications relax vascular smooth muscle, allowing the heart to pump blood forward more easily. Milrinone is unique because it acts as an inodilator, meaning it: increases contractility decreases vascular resistance Vasopressors (Increase Afterload) In distributive shock, clinicians increase resistance to maintain organ perfusion. Common vasopressors include: Norepinephrine (Levophed) Phenylephrine Norepinephrine stimulates both vascular constriction and cardiac activity, while phenylephrine primarily causes vasoconstriction. Mechanical Support When Medications Fail When medications cannot stabilize circulation, mechanical devices may be required. Intra-Aortic Balloon Pump (IABP) The IABP works through counterpulsation. The balloon inflates during cardiac relaxation to improve coronary perfusion. It then deflates just before ventricular contraction, reducing afterload. This helps the failing heart pump blood forward. Impella The Impella device directly unloads the ventricle. It sits across the aortic valve and pumps blood from the left ventricle into the aorta. This allows the ventricle to rest while circulation continues. The ECMO Paradox VA ECMO provides life-saving support by pumping oxygenated blood into the arterial system. However, the retrograde flow increases pressure in the aorta. This dramatically increases afterload and may prevent the ventricle from ejecting blood. The result can be: ventricular distention pulmonary edema myocardial ischemia Clinicians often use IABP or Impella to decompress the ventricle. Clinical Research Insight Large observational studies comparing ECMO combined with Impella versus ECMO with IABP found: No difference in mortality. However, Impella was associated with higher rates of complications including: major bleeding vascular injury hemolysis kidney failure requiring dialysis This highlights an important principle in critical care: Newer technology is not always better. Careful bedside monitoring remains the most important factor in patient safety. Key Takeaways for Nurses Afterload is the resistance the heart pumps against. High afterload makes the heart work harder and can lead to heart failure. Low afterload occurs in distributive shock and causes wide pulse pressures. Nurses recognize afterload problems through physical assessment, hemodynamic data, and medication effects. Mechanical support devices can help unload the heart but carry significant risks. Need to reach out? Send an email to BrookeWallaceRN@gmail.com

    26 min
  2. Before the Blood Pressure Drops: Catch Cardiac Output Failure Early

    2D AGO

    Before the Blood Pressure Drops: Catch Cardiac Output Failure Early

    Go to SuperNurse.ai for your free download, unique comic books and AI powered learning! Why Waiting for Hypotension Is Too Late Most new nurses are trained to react to low blood pressure. Experienced ICU nurses know the truth: By the time the blood pressure drops, the patient has already been failing. This episode helps you build the clinical eye — the ability to recognize decreased cardiac output early using bedside assessment, not just monitor numbers. The Golden Equation of Hemodynamics Cardiac Output = Heart Rate × Stroke Volume Normal cardiac output: 4–8 liters per minute But here’s the key: Stroke volume falls first. Blood pressure falls later. Stroke Volume: The First Thing to Fail Stroke volume depends on three major variables: 1️⃣ Preload – The Stretch Think slingshot. Too little stretch → hypovolemia Too much stretch → heart failure Overstretching leads to weak contraction Frank-Starling law explains why optimal stretch produces optimal contraction. 2️⃣ Contractility – The Snap When the heart muscle weakens: Stroke volume drops Cardiac output falls Compensatory tachycardia begins But persistent tachycardia reduces filling time → preload drops → cardiac output crashes. 3️⃣ Afterload – The Resistance Think balloon with a tight knot. High afterload (vasoconstriction): Cool, clammy skin Pale or mottled extremities Delayed cap refill (>3 seconds) Narrow pulse pressure Weak peripheral pulses Low afterload (vasodilation, early sepsis): Warm, flushed skin Bounding pulses Wide pulse pressure Early Signs of Decreased Cardiac Output Before hypotension, look for: Restlessness or subtle confusion Decreasing urine output Delayed cap refill Weak pulses Narrow pulse pressure Cool extremities S3 gallop Crackles in lung bases Orthopnea Paroxysmal nocturnal dyspnea The kidneys and brain are the first organs to suffer. Hourly urine output is an early warning sign. Restlessness may be cerebral hypoxia — not “anxiety.” Passive Leg Raise: The ICU Game-Changer Stop guessing on fluid boluses. The passive leg raise test gives a reversible 300 mL auto-transfusion. If cardiac output increases → fluid responsive. If it doesn’t → fluids may cause harm. This replaces the old “just give a liter” approach. Positioning: The Fastest Nursing Intervention High Fowler’s position reduces preload immediately. Patients with chronic heart failure often sleep upright for a reason — they are self-managing preload with gravity. Medications That Offload the Heart Providers may use: Loop diuretics (like furosemide) Vasodilators (nitroglycerin) Morphine (reduces preload and afterload, decreases sympathetic drive) But your assessment determines whether those interventions are appropriate. Nursing Pearl Your hands, eyes, and stethoscope will detect failure before the monitor does. Technology is advancing. AI may predict decompensation earlier than ever. But the clinical eye — your ability to see the whole patient — is what saves lives. 🎯 NCLEX-Style Question A patient with heart failure becomes restless and confused. Urine output has dropped over the past two hours. Blood pressure remains within normal limits. What is the priority interpretation? A. The patient is anxious B. The patient is developing decreased cardiac output C. The patient needs pain medication D. The patient is improving Correct Answer: B Rationale: End-organ perfusion changes occur before hypotension in decreased cardiac output. Need to reach out? Send an email to BrookeWallaceRN@gmail.com

    20 min
  3. Metoprolol Made Simple: For NCLEX & to Protect Your Patient

    FEB 27

    Metoprolol Made Simple: For NCLEX & to Protect Your Patient

    Check out SuperNurse.ai for comic book style learning, vilians and super nurses! If you’re a nursing student studying for NCLEX or a new grad nurse trying to understand metoprolol beyond “it lowers heart rate,” this episode of The Super Nurse Podcast breaks down beta blockers in a way that actually sticks. Understand NCLEX pharamcology better. Metoprolol is one of the most tested cardiac medications on NCLEX and one of the most commonly administered drugs in med-surg, ICU, and primary care. But mistakes happen when nurses only memorize that it lowers blood pressure and heart rate. In this episode, we go deeper into hemodynamics, myocardial oxygen demand, beta-1 receptor physiology, and heart failure management so you can apply this medication safely at the bedside. You’ll learn: The 3 negatives: negative chronotropy, inotropy, and dromotropy Why metoprolol is about myocardial preservation, not just rate control The critical difference between metoprolol tartrate vs metoprolol succinate (and why it matters for heart failure mortality) The 34% mortality reduction in heart failure and what nurses must understand about sustained beta blockade Bedside safety checks: apical pulse, systolic blood pressure thresholds, daily weights The heart failure paradox (why patients may worsen before improving) Masked hypoglycemia in diabetic patients — a classic NCLEX safety question CYP2D6 metabolism and why some patients crash on “normal” doses Depression, nightmares, fatigue, sexual dysfunction — and how to assess for intolerance The black box warning: why beta blockers must never be stopped abruptly This episode strengthens your clinical judgment, prioritization skills, and pharmacology understanding so you can move from memorizing drug cards to thinking like a nurse. Perfect for: Nursing students New grad nurses ICU nurses Anyone studying cardiac medications or beta blockers for NCLEX prep Don’t just memorize metoprolol. Understand the why behind slowing the pump to save the muscle. Need to reach out? Send an email to BrookeWallaceRN@gmail.com

    20 min
  4. Fluids vs Lasix: Hemodynamics Made Simple for Nursing Students

    FEB 25

    Fluids vs Lasix: Hemodynamics Made Simple for Nursing Students

    Check out SuperNurse.ai for comic book style learning for nurses. The 2 A.M. Hypotension Scenario BP: 90/50 Urine output: decreased Heart rate: rising The nurse’s role: Recognize instability early Assess for signs of fluid deficit vs overload Gather supporting data Communicate clearly to the provider Monitor response to interventions 🧠 Applying the Clinical Judgment Model 1️⃣ Recognize Cues Hypotension Tachycardia Decreased urine output Mental status changes Lung sounds Neck vein assessment Skin temperature This is bedside nursing power. 2️⃣ Analyze Cues Ask: Does this look like low preload (hypovolemia)? Does this look like high preload (volume overload)? Is this possibly a pump problem? Your assessment shapes how you communicate. Example: Instead of: “BP is low.” Say: “BP is 90/50, urine output has dropped, neck veins are flat, lungs are clear, and mucous membranes are dry.” That’s critical thinking. 3️⃣ Prioritize Hypotheses Perfusion is always priority. Kidneys and brain are sensitive to decreased cardiac output. 4️⃣ Anticipate Likely Interventions Based on assessment, you may anticipate: If low preload: Fluid bolus order Blood products If high preload: Diuretics Vasodilators If vasodilation (like sepsis): Vasopressors Volume support Anticipating helps you: Prepare supplies Ensure IV access Monitor closely Advocate confidently 5️⃣ Implement Orders Safely When interventions are initiated: Monitor lung sounds Monitor urine output Monitor mental status Monitor blood pressure trends Your reassessment determines next steps. 6️⃣ Evaluate Outcomes After fluids: Did BP improve? Did urine output increase? Are lungs clear? After diuretics: Is breathing easier? Is oxygenation improving? Is output increasing? Clinical judgment is continuous. ❤️ Hemodynamics in a Nursing Context Cardiac Output = Heart Rate × Stroke Volume You are not calculating it at bedside — but you are interpreting its consequences. Low output signs: Confusion Decreased urine output Cool extremities Delayed capillary refill Preload (The Stretch) Signs of low preload: Flat neck veins Dry mucous membranes Clear lungs Low CVP (if present) Signs of high preload: JVD Crackles S3 Peripheral edema Your assessment informs provider decisions. Afterload (The Resistance) High afterload: Hypertension Vasoconstriction Low afterload: Sepsis Warm flushed skin Bounding pulses Recognizing patterns = safer advocacy. ⚠️ Cognitive Traps Nurses Face Anchoring Bias Assuming tachycardia = pain. Instead ask: Is the heart rate compensating for low stroke volume? Alarm Fatigue If alarms are constant, cues get missed. Customizing alarm parameters improves safety. 🧠 The Bigger Message Nurses do not write the orders. But nurses: Recognize deterioration first Gather the right data Communicate clearly Prevent delay Catch wrong assumptions Reassess continuously That is advanced practice within nursing scope. 🏁 Key Takeaways Don’t chase numbers — assess the patient. Low blood pressure always needs context. Know the difference between dry and drowning. Anticipate likely interventions. Reassess after every change. Your communication can prevent a crash. Need to reach out? Send an email to BrookeWallaceRN@gmail.com

    19 min
  5. AI Is Accelerating Drug Discovery — Why Nurses Matter More Than Ever

    FEB 24

    AI Is Accelerating Drug Discovery — Why Nurses Matter More Than Ever

    Check out SuperNurse.ai for super fun AI powered learning AI Is Changing Drug Discovery Artificial intelligence is revolutionizing biology by: Predicting protein structures in hours instead of years Designing precision drugs that target disease at the molecular level Improving clinical trial recruitment using AI-driven record analysis Reducing the cost and failure rate of drug development This shift moves medicine from “trial and error” to rational drug design. What This Means for Healthcare As new therapies are developed faster: More targeted biologics enter clinical practice Personalized medicine becomes the norm Treatment protocols evolve rapidly Patient questions become more complex The science may be accelerating — but understanding still requires a human bridge. Why Nurses Matter More Than Ever As AI speeds up discovery, nurses: Translate complex molecular therapies into understandable language Provide emotional reassurance in a tech-heavy system Catch inconsistencies or clinical red flags Advocate for patients navigating experimental treatments Apply ethical reasoning when algorithms fall short AI can design the therapy. Nurses guide the human experience. The Evolution of Nursing in the AI Era When memorization and pattern recognition become automated, what remains is: Clinical judgment Ethical oversight Communication Empathy Contextual thinking The nurse is not being replaced. The nurse is being elevated. Need to reach out? Send an email to BrookeWallaceRN@gmail.com

    20 min
  6. How AI Is Helping Us Treat Sepsis

    FEB 20

    How AI Is Helping Us Treat Sepsis

    Why Sepsis Is Still the “Final Boss” Affects nearly 50 million people globally each year Mortality increases significantly with delayed treatment Traditional tools (SIRS, qSOFA) have major limitations Alarm fatigue is real — especially with high false positive models 🧠 The Diagnostic Dilemma Why SIRS Falls Short High sensitivity Extremely poor specificity Flags post-op patients, anxious patients, pain patients Why qSOFA Misses Early Cases Low sensitivity Identifies the crash, not the warning signs Often too late in elderly and beta-blocked patients 🤖 How AI Is Detecting Sepsis Earlier 1️⃣ AI + Routine CBC Data Machine learning analyzes neutrophil morphology Detects immune activation before WBC spikes Uses existing hospital lab data Predicts sepsis before culture results return 2️⃣ TREWS (Targeted Real-Time Early Warning System) Real-time monitoring of dozens of variables Reduced mortality when acted upon within 3 hours Faster antibiotic administration Human bias still impacts outcomes ⚠️ The Epic Sepsis Model Problem High false positive rate 109 alerts per 1 true sepsis case in one study Teaches alarm fatigue Must be validated locally 📝 AI That Reads Nursing Notes (Natural Language Processing) System: SERA (Sepsis Early Risk Assessment) AI scans: “Patient seems confused” “Family concerned about mental status” “Decreased urine output” “Lethargic and pale” ✔️ Predicts sepsis up to 12 hours before onset ✔️ Combines hard data + soft clinical intuition ✔️ Quantifies nursing judgment 💉 AI and Fluid Management: The Big Controversy Using reinforcement learning models trained on ICU data: AI frequently recommended: Less fluid Earlier vasopressors Individualized hemodynamic balance When clinicians matched AI dosing: Mortality lowest When they deviated: Mortality increased This challenges the “30 mL/kg for everyone” model. Welcome to precision resuscitation. 🧬 Sepsis Phenotypes (Alpha, Beta, Gamma, Delta) AI identified four distinct sepsis types: Alpha – Least severe, better outcomes Delta – High mortality, severe shock and organ dysfunction Implication: We may be failing sepsis drug trials because we treat all sepsis the same. Future: Phenotype-driven order sets. 🔍 The Black Box Problem Clinicians ignore alerts if they don’t understand why. New explainable AI systems: Show lactate trends Highlight dropping platelets Identify subtle BP changes Build trust through transparency AI must show its homework. 💡 What This Means for Nurses AI will not replace nurses. But nurses who understand AI will: Advocate differently Question protocols Navigate algorithm vs standing orders Lead the cultural shift You may soon be the mediator between: The algorithm The attending The protocol The patient That’s leadership. 🎯 Key Takeaways Sepsis detection is shifting from reactive to predictive. AI can use simple labs like CBC to detect early immune changes. Not all sepsis models are equal — validation matters. Natural language processing quantifies nursing intuition. Precision fluid management may outperform blanket protocols. AI augments — it does not replace — nursing judgment. Need to reach out? Send an email to BrookeWallaceRN@gmail.com

    22 min
  7. Sepsis After COVID: What We Learned

    FEB 19

    Sepsis After COVID: What We Learned

    Get more at SuperNurse.ai - taking nursing school knowledge to the bedside with AI powered tools and comic-book style learning. Why Sepsis Still Keeps ICU Nurses Up at Night 166 million global cases (2021) 21.4 million deaths 31.5% of all global deaths Mortality >40% once septic shock develops COVID caused a surge, especially in adults >70 🧠 The Shift: SIRS → Sepsis-3 Old Model: SIRS Temp high or low HR >90 RR >20 WBC high or low Too sensitive, not specific New Model: Sepsis-3 Life-threatening organ dysfunction Caused by dysregulated host response “Severe sepsis” eliminated Septic shock = vasopressors to maintain MAP 65+ AND lactate >2 despite fluids Clarity > over-triggering. ⚙️ The 4 Mechanisms of System Failure Mitochondrial Dysfunction Cytopathic hypoxia Oxygen present, cells cannot use it Rising lactate despite normal O2 sats Immunothrombosis Microclots trap bacteria Blocks microcirculation Organ ischemia Endothelial Damage Glycocalyx destruction Vascular leak Third spacing, edema Immune Paralysis Immune exhaustion Apoptosis of immune cells Secondary infections weeks later Sepsis = total systems failure. ❄️ Cold Sepsis: The Dangerous Trap Hypothermia is deadlier than fever Indicates metabolic exhaustion Cold, clammy patients get missed Fever requires energy — cold means collapse Do not rely on fever alone. 🤖 AI in Sepsis Detection TREWS Machine learning Tracks nonlinear trends Reduces mortality & antibiotic delays SERA Natural language processing Reads nursing notes Detects “patient looks unwell” Validates clinical intuition Future: Prediction 48 hours before crash. AI reduces alarm fatigue by increasing specificity. 💊 2021 Surviving Sepsis Campaign Updates ⏱️ Antibiotics Timing Shock/high likelihood → within 1 hour Stable, possible sepsis → up to 3-hour diagnostic window Speed + accuracy balance. 💧 Fluids 30 ml/kg still standard starting point (weak recommendation) Balanced crystalloids preferred (Lactated Ringer’s, Plasma-Lyte) Normal saline → hyperchloremic metabolic acidosis SMART trial supports balanced fluids for kidney outcomes Assess fluid responsiveness dynamically Avoid “saltwater drowning” in ESRD/HF patients. 💉 Vasopressors Norepinephrine first-line Safe to initiate peripherally (18–20 gauge proximal site) Do not delay for central line Hypotension harms immediately ❌ Vitamin C Cocktail No longer recommended Large trials did not support benefit 👩‍⚕️ Nurse-Driven Protocols Barriers: Staffing shortages Environmental constraints Lack of authority Solutions: Sepsis 6 protocols Nurse-initiated lactate & fluid protocols Advocacy as a clinical skill Empowerment saves lives. 🏥 Post-Sepsis Reality Post-Intensive Care Syndrome (PICS): Cognitive decline PTSD, anxiety Long-term organ dysfunction 2021 guidelines recommend: Social & economic screening Medication reconciliation Follow-up for deficits Survival is just step one. 🔮 The Future: Endothelial Immunothrombotic Storm Emerging concept: Treat sepsis as vascular disease Target endothelial repair Manage microclots independently of infection Treat the vessel, not just the bug. 🎯 Key Takeaways Sepsis is system failure, not just infection. Hypothermia may be more dangerous than fever. AI tools are shifting care from reactive to predictive. Balanced fluids > normal saline in large resuscitation. Peripheral pressors are safe and life-saving. Antibiotic timing now includes nuance. Survivorship requires long-term support. Need to reach out? Send an email to BrookeWallaceRN@gmail.com

    17 min
  8. Conquering Alarm Fatigue in Nursing: The Crisis We’ve Normalized

    FEB 16

    Conquering Alarm Fatigue in Nursing: The Crisis We’ve Normalized

    Check out SuperNurse.ai for AI powered learning, community, and comic book style nursing education! Alarm fatigue is cognitive desensitization caused by sensory overload. When your brain hears a danger signal repeatedly with no true danger, it adapts. It filters. It reclassifies the sound as background noise. That adaptation protects you in everyday life. But in a hospital? It can delay life-saving action. The Numbers We Can’t Ignore Nearly 9,000 alarms during just 25 routine procedures in one study More than one alarm per minute Over 500 alarm-related patient deaths reported in five years A 74% reduction in false alarms in systems using short algorithm delays This isn’t “annoying.” It’s systemic. False vs. Nuisance Alarms False Alarm The monitor is wrong. Motion artifact mistaken for an arrhythmia. Nuisance Alarm The monitor is technically correct — but clinically irrelevant. A brief dip outside a rigid factory setting. Most alarms are non-actionable. And yet every single one interrupts your thought process. The Cognitive Cost to Nurses Every alarm forces a mental shift: Assess Evaluate Prioritize Dismiss Now multiply that by hundreds of interruptions per shift. The result? Mental fatigue Increased error risk Burnout Emotional exhaustion Intention to leave the profession This isn’t weakness. It’s neurologic overload. The Patient Impact Alarm-heavy environments increase stress hormones — especially at night. That contributes to: Sleep disruption Delirium risk Delayed healing Family anxiety Erosion of trust When families hear alarms constantly and staff appear calm, it creates confusion and fear. We’ve adapted to the noise. They haven’t. Practical Strategies Nurses Can Use Tomorrow 1️⃣ Fresh Electrodes & Proper Skin Prep Clean the skin. Let it dry. Replace electrodes daily. Poor signal quality creates technical alarms. Better prep = fewer interruptions. 2️⃣ Customize Alarm Limits Factory defaults are not individualized care. Assess your patient’s: Baseline vitals Diagnosis Clinical trajectory Adjust limits so alarms signal change — not normal variation. Make the monitor work for you. 3️⃣ Use Alarm Pause Thoughtfully Before turning, suctioning, ambulating, or procedures. Prevent predictable alarm cascades. Protect the unit’s cognitive environment. 4️⃣ Advocate for Smarter Systems Evidence supports: Alarm champions who review trends Data-driven parameter adjustments Short algorithm delays to filter artifact Direct-to-device alerts instead of overhead noise Unit-wide alarm audits Technology should reduce cognitive burden — not amplify it. The Super Nurse Perspective The monitor is a tool. The patient is the priority. If the screen says emergency but your assessment says stable… Trust your clinical judgment. Always assess the patient first. Quick Recap Alarm fatigue is: A cognitive condition Linked to patient harm Contributing to nurse burnout A system issue — not a personal flaw Solutions begin with: Better signal quality Individualized settings Communication Advocacy We don’t have to accept chaos as normal. Nurses are the guardians of the clinical environment. And we deserve tools that are as intelligent as we are. Need to reach out? Send an email to BrookeWallaceRN@gmail.com

    13 min
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3.7
out of 5
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About

The Super Nurse Podcast is for nursing students taking NCLEX, new graduate nurses, and working nurses who want to level up their game. This podcast helps you survive nursing school, thrive in clinicals, and step confidently into real-world practice as a Super Nurse— guided by 20-year ICU nurse Brooke Wallace, RN, BSN, CCRN, CPTC. 👉 Train smarter. Build confidence. Become a Super Nurse. Visit supernurse.ai for AI-powered tools, study support, and next-generation nursing resources. Powered by AI and real-world nursing experience, each episode delivers conversational, supportive insights based on the most common questions and challenges faced by student and new graduate nurses. Think of it as a focused study session — blending evidence-based strategies, clinical pearls, encouragement, and confidence-building guidance in a way that actually sticks. Whether you’re tackling pharmacology, preparing for clinicals, studying for the NCLEX, or learning how to manage your first 12-hour shift, The Super Nurse Podcast helps you grow stronger, sharper, and more resilient — from student nurse to confident clinician. Inspired by the real FAQs nurses ask, we answer the questions that matter most: How do I survive pharmacology? How do I speak to patients with confidence? What should I expect on my first 12-hour shift? Created by seasoned ICU nurse Brooke Wallace, each episode delivers practical study tips, NCLEX prep strategies, and real-world clinical wisdom, alongside honest conversations about the realities of nursing school and early practice. 👉 Train smarter. Build confidence. Become a Super Nurse. Visit supernurse.ai for AI-powered tools, study support, and next-generation nursing resources.

Information

  • Creator
    Brooke Wallace
  • Years Active
    2023 - 2026
  • Episodes
    81
  • Rating
    Clean
  • Copyright
    © 2025- Present
  • Show Website
    The Super Nurse Podcast

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