Learning objectives:
Apply current knowledge of electronic health records and the location of information.
Apply current knowledge in answering questions in preparing for the care of the patient with a chronic respiratory disease.
Evaluate information needed for clinical decision making in the care of the respiratory patient.

Student instructions:
If you have questions about this activity, please contact your instructor for assistance.
You will review the chart of Jane Shriver to complete this activity. Your instructor has provided you with a link to the Managing Breathing Complications activity. Click on 2: Launch EHR to review the patient chart and begin this activity.
Refer to the patient chart and any suggested resources to complete this activity.
Document your answers directly on this activity document as you complete the activity. When you are finished, you will save this activity document to your device and upload this activity document with your answers to your Learning Management System (LMS).
The activity:
Student name: _______________________________________

What are this patient’s problems?
Which of these is the priority problem for this client and why?
Review the patient’s vitals, labs and assessment data in the notes tab. What are the supporting subjective data findings related to the priority problem?
Review the patient’s vitals, labs and assessment data in the notes tab. What are the supporting objective data findings related to the priority problem?
What patient goal is desirable for this problem and what are at least three SMART outcome criteria for this problem?
What nursing interventions will help to achieve these outcomes?
Which ordered medications are directly related to the priority problem? What are they and what do they do?
Describe how each of the patient care orders are directly related to the support of this patient’s priority problem. Please make a prioritized schedule for the care of this patient.
How will you know if the patient is improving and your actions have helped?

Document your answers directly on this activity document as you complete the activity. When you are finished, save this activity document to your device and upload this activity document with your answers to your Learning Management System (LMS). If you have any questions about submitting your work to your LMS, please contact your instructor.

Respuesta :

This paper identifies evolving trends in the diagnosis and treatment of chronic obstructive pulmonary disease (COPD), and recommends the integration of nursing strategies in COPD management via widespread implementation of electronic health records. COPD is a complex lung disease with diverse origins, both physical and behavioral, manifested in a wide range of symptoms that further increase the patient’s risk for comorbidities. Early diagnosis and effective management of COPD require monitoring of a dizzying array of COPD symptoms over extended periods of time, and nurses are especially well positioned to manage potential progressions of COPD, as frontline health care providers who obtain, record, and organize patient data. Developments in medical technology greatly aid nursing management of COPD, from the deployment of spirometry as a diagnostic tool at the family practice level to newly approved treatment options, including non-nicotine pharmacotherapies that reduce the cravings associated with tobacco withdrawal. Among new medical technologies, electronic health records have proven particularly advantageous in the management of COPD, enabling providers to gather, maintain, and reference more patient data than has ever been possible before. Thus, consistent and widespread implementation of electronic health records facilitates the coordination of diverse treatment strategies, resulting in increased positive health outcomes for patients with COPD.

Conclusions

COPD patients can be sub-classified into groups with differing risk factors, comorbidities, and prognosis, based on data included in their primary care records. The identified clusters confirm findings of previous clustering studies and draw attention to anxiety and depression as important drivers of the disease in young, female patients.