Access to big data has the potential to significantly improve outcomes for patients in several ways:
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:
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.
Critically analyze the following criteria: 1. Are there any gaps in the policies/procedures or guidelines in meeting this standard? Identify the gaps and indicate what steps should be taken to address them. 2. If there are appropriate policies/procedures or guidelines in place on paper, are they being followed in practice. 3. What changes in practice could better meet the pre-publication standard and improve care for the potential forensic patient population? Provide any recommendations to accomplish this goal.
Nursing inquiry is crucial for several reasons, as it plays a pivotal role in advancing the nursing profession and improving patient care. Here are some key reasons why nursing inquiry is important: