A 75-year-old woman develops symptoms of a cold and buys an over-the-counter cold medication at the grocery store. The medication contains diphenhydramine, acetaminophen, and phenylephrine. She takes the recommended adult dose but soon after taking the medication, she becomes very confused and disoriented. Q3. What is likely causing the signs of confusion?

Question 3 The woman’s signs of confusion are due to diphenhydramine in the cold medication. This element has a sedative effect and is known to…

A 70-year-old woman is in your office complaining of recently having trouble maintaining her balance after taking diazepam (valium). She occasionally takes diazepam when she feels anxious and has trouble sleeping. She has a 15-year history of taking diazepam. Q1. Explain the cause of this patient’s difficulty in maintaining her balance? Q2. Diazepam experiences a significant first-pass effect. What is the first-pass effect, and how can first-pass metabolism be circumvented?

Question 1 The patient’s difficulty maintaining her balance is due to the side effects of diazepam. Diazepam is a central nervous system depressant that can…

What is big data in health care?

Big data in healthcare refers to the vast and complex sets of health-related data that are generated, collected, and analyzed to improve patient care, medical research, and healthcare operations. These datasets are typically characterized by their volume, variety, velocity, and sometimes, their veracity. Here’s what these characteristics mean in the context of big data in healthcare:

By Day 3 of Week 5 Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples.

NURS 6051S Week 5 Discussion Big Data Risks and Rewards

When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee.

Review the video, Case Study: Petunia Park. You will use this case as the basis of this Assignment. In this video, a Walden faculty member is assessing a mock patient. The patient will be represented onscreen as an avatar. Consider what history would be necessary to collect from this patient.

Review the video, Case Study: Petunia Park. You will use this case as the basis of this Assignment. In this video, a Walden faculty member is assessing a mock patient. The patient will be represented onscreen as an avatar.
Consider what history would be necessary to collect from this patient.