AI, Machine Learning, Genomics, Precision Health

 

 

 

• Choose one of the five topics: AI, Machine Learning, Genomics, Precision Health, or Robotics, how has this technology been applied in your practice or in the lives of your patients
• How do you think this innovation will impact the future of your practice?
DQ8
Post a cohesive response that addresses the following:
• What strategies do you recommend for addressing barriers and challenges associated with social determinants of health in nursing practice? How can nurses effectively use information technologies to support the delivery of equitable care to all patients?
DQ 9
Post a cohesive response to the following:
• What are the key challenges that healthcare practitioners encounter when balancing patient care with the requirement for stringent data protection? How can healthcare organizations ensure patient confidentiality while effectively leveraging digital tools to enhance care delivery?

 

Sample Answer

 

 

 

 

 

 

Below are the cohesive responses for your discussion prompts, focusing on the intersection of emerging technology, health equity, and data security.

Discussion Topic: Precision Health in Nursing Practice

In my practice, Precision Health—specifically the integration of pharmacogenomics—has transitioned from a theoretical concept to a bedside reality.

Application in Practice: I have seen this most impactfully in the management of behavioral health and cardiovascular patients. For example, instead of the traditional "trial and error" approach to antidepressants or anticoagulants like Warfarin, patients now undergo genetic testing to identify how their specific enzymes (such as the CYP450 system) metabolize these drugs. This ensures we prescribe the right dose of the right medication the first time, significantly reducing the risk of adverse drug events.