Lab day
I am heading to the lab while practicing writing care plans for my clinicals. To be clear, all the information I'm working with is entirely fictional and unrelated to real patient cases or diagnoses. #nursingstudent #nursingschoolNew York
Hey everyone, fellow #nursingstudent here, just wanted to share a deeper dive into what a 'lab day' truly entails, especially when we're practicing writing those crucial patient care plans. It might not be 'coding biology data' in the traditional computer science sense, but for us, it's all about systematically 'coding' and interpreting complex biological and physiological information to create a comprehensive plan for patient care. It’s a simulation of real-world decision-making, and honestly, it’s one of the most important aspects of our training in #nursingschool. When we're in the lab, tackling these fictional patient cases, we're essentially taking raw 'data' and transforming it into actionable steps. Think about it: we start with an 'Admitting Diagnosis' and patient demographics like age and gender. Then we dive into their medical history, noting 'Chronic Illnesses' like Osteoarthritis. This initial assessment is our first layer of 'biology data' we need to process. Next, we meticulously go through various 'needs' – 'Comfort Needs' (like foot care or mouth care), 'Hygiene Needs,' 'Respiratory Needs' (checking 'Breath Sounds' or planning for 'Breathing TX Inc.Spir'), and 'Integumentary Needs' (managing 'Dressings' or 'Topical Tx's'). Each of these requires us to evaluate patient 'data' and 'code' an appropriate intervention. For example, if a patient is 'Hard of Hearing' or 'Vision Impaired,' we incorporate specific 'Safety Precautions' into our plan. This is where our theoretical 'biology' knowledge meets practical patient management. 'Medication Management' is another huge component where we're constantly working with 'biological data.' We're learning about specific drugs like 'Losartan' for blood pressure control, 'Vitamin D3' for bone health, 'Ibandronate' to prevent osteoporosis, and 'Lidocaine' for localized pain relief. Understanding their actions, dosages, and potential side effects is critical biological 'coding' – matching the right treatment to the right physiological need. We also monitor 'Labs' (like RBC, HCT, HGB, WBC) and 'Recent Vital Signs' (P, BP, O2 Saturation) – these are direct, measurable pieces of 'biology data' that guide our decisions. Furthermore, we plan for 'Nutritional Needs' (Type of diet, Supplements), 'Elimination Needs' (Foley Catheter, Last BM), and 'Fluid Needs' (IV solution, rate). Even 'Psychosocial/Spiritual Needs' are factored in, acknowledging the holistic nature of patient care. Every piece of information, from a patient's 'Last BM' to their current 'O2 Saturation,' is a data point that needs to be 'coded' into the overall care strategy. So, while we might not be sitting in front of a computer screen writing Python, for us #nursingstudents, the lab is where we 'code' human biology into compassionate, effective patient care plans. It's an intense but incredibly rewarding experience that prepares us for the complex data management we'll face in our clinical careers. How do you approach structuring all this patient data in your care plans?
