This episode first aired on my other Podcast Nurse Chat Diaries
Ever Googled a symptom and ended up convinced you were dying by midnight? In this episode of Nurse, Be Honest, we break down the chaos of “Google said…” with humor, real-life nursing stories, and some much-needed reassurance. From midnight anxiety spirals to TikTok diagnoses, we talk about why the internet jumps to worst-case scenarios, what nurses actually look for, and when symptoms really need medical attention. Laugh, learn, and maybe close a few browser tabs — your nurse said so.
Disclaimer: This podcast is for educational and entertainment purposes only. The information shared is based on general nursing knowledge and personal experience and is not a substitute for professional medical advice, diagnosis, or treatment. Always consult your healthcare provider with questions about your health or symptoms.#NurseChatDiaries#GoogleSaid#HealthHumor#NurseLife#PatientEducation#HealthcareRealTalk#MedicalMyths#HealthAnxiety#NursePodcast#StopGooglingSymptoms
American Academy of Family Physicians. (2022). Health anxiety and somatic symptom disorders. https://www.aafp.org
Centers for Disease Control and Prevention. (2023). Chest pain and heart attack symptoms. https://www.cdc.gov
Centers for Disease Control and Prevention. (2023). Signs and symptoms of stroke. https://www.cdc.gov/stroke
Mayo Clinic. (2023). Anxiety disorders. https://www.mayoclinic.org
Mayo Clinic. (2023). Headaches: Causes and symptoms. https://www.mayoclinic.org
MedlinePlus. (2024). Evaluating symptoms and when to seek care. U.S. National Library of Medicine. https://medlineplus.gov
National Institute of Mental Health. (2023). Anxiety disorders. https://www.nimh.nih.gov
National Institutes of Health. (2023). Understanding symptoms and diagnosis. https://www.nih.gov
World Health Organization. (2022). Patient safety and health information literacy. https://www.who.int
White, R. W., & Horvitz, E. (2009). Cyberchondria: Studies of the escalation of medical concerns in web search. ACM Transactions on Information Systems, 27(4), 1–37. https://doi.org/10.1145/1629096.1629101