Part I: Choose one of the listed topics
Implementing change on a nursing unit (Student must incorporate an example and a change theory)
Leadership traits for successfully managing in the clinical arena.
Quality improvement in the nursing unit or system
Mentorship in nursing
Preceptor programs for nursing leaders
Solving incivility in the workplace, How can a nurse manager help? (conflict resolution)
Legal Issues within the nursing unit
Promotion of ethical behaviors within the nursing unit (student must create a plan and implementation strategy)
Nursing Unit Strategic Planning
Compare and contrast the following new roles for the changing health care arena:
oNurse Navigators, Clinical Nurse Leaders, and Leaders in Patient-Centered Care
Part II: Evaluate how the topic applies to 2 of the following course competencies.
Integrate concepts related to leadership into the professional nursing role.
Analyze the philosophy, goals, and organizational structure of a healthcare system in relationship to the delivery of quality healthcare.
Compare selected theories of leadership, management, and organizations in relation to healthcare agencies.
Identify how collaborative leadership styles might be utilized in various community agencies to enhance the role of the nurse leader.
Examine change theory, change management, conflict resolution, and strategies to promote innovation.
Explain principles of continuous quality improvement (CQI) and the process of quality planning, improvement, and control.
Discuss the management process and its impact on the delivery of optimal healthcare.
Analyze how accountability, advocacy, and collaboration augment the management of care.
Describe the meaning of teamwork in respect to the health care team
Identify the essential components of a business plan
Analyze various organization structure/management theories as they relate to nursing practice
Sample Solution
verify. The facial-recognition algorithms used by police are not enforced to go through public or independent testing to determine accuracy or check for bias before being deployed on everyday citizens. This means that the companies that are making these claims, can easily revise their results, and change them if they are not high enough [9]. And even if these claims are true, an identification rate of 95 percent is not enough for any system to rely on for society. If a facial recognition system makes a decision (e.g. if a person has committed a crime, by matching the face to e.g. images collected from security cameras), the outcome is purely based on the face features of that specific person. When this same task is given to a human being, the human will base his/her decision on other factors as well (e.g. voice, height, body language, confidence), this makes the decision more authentic. Hence, to make the chances of falsely identifying a person as low as possible, the system will still need a human judge. 4. Ethics The improvement of facial recognition technologies can be a great help for national security. But it raises strong concerns regarding the individualâs privacy. When there are cameras everywhere, individuals will be continually watched. This possible violation of privacy creates fear in people. Another point that raises fear, is that the data of facial recognition can be misused. There is always tension between the need for privacy and what this loss of privacy can bring us (security). Is it acceptable to use facial recognition technologies in all situations? That is what will be discussed in this paragraph.>
verify. The facial-recognition algorithms used by police are not enforced to go through public or independent testing to determine accuracy or check for bias before being deployed on everyday citizens. This means that the companies that are making these claims, can easily revise their results, and change them if they are not high enough [9]. And even if these claims are true, an identification rate of 95 percent is not enough for any system to rely on for society. If a facial recognition system makes a decision (e.g. if a person has committed a crime, by matching the face to e.g. images collected from security cameras), the outcome is purely based on the face features of that specific person. When this same task is given to a human being, the human will base his/her decision on other factors as well (e.g. voice, height, body language, confidence), this makes the decision more authentic. Hence, to make the chances of falsely identifying a person as low as possible, the system will still need a human judge. 4. Ethics The improvement of facial recognition technologies can be a great help for national security. But it raises strong concerns regarding the individualâs privacy. When there are cameras everywhere, individuals will be continually watched. This possible violation of privacy creates fear in people. Another point that raises fear, is that the data of facial recognition can be misused. There is always tension between the need for privacy and what this loss of privacy can bring us (security). Is it acceptable to use facial recognition technologies in all situations? That is what will be discussed in this paragraph.>
