Discussion: Board of Nursing Regulations

Discussion: Board of Nursing Regulations

Discussion: Board of Nursing Regulations

Michigan advanced practice registered nurses (APRNs) have been fighting for full prescriptive authority for a long time. Michigan does not have a nursing practice act. Instead, regulations directing APRNs come from the Public Health Code 1978, which also governs 25 other health professions (Nurse Practitioner Schools, 2020). Michigan nurses celebrated a win in 2017 with the signing of MI HB 5400. This bill gives Michigan APRNs authority to prescribe non-scheduled medications, perform hospital rounds, make independent house calls, and order speech and physical therapy without a collaborating physician.

They still need a collaborating physician to prescribed controlled substances in schedules two through five. As a delegated act, the controlled prescriptions require both names and DEA registration numbers of the physician and the APRN (Michigan Legislature, 2017). In comparison, Minnesota’s APRNs have full prescriptive authority (Minnesota Board of Nursing, n.d.). They can prescribe any medication, controlled or non-controlled, without a collaborating physician. They also have full authority to practice without the oversight of a collaborating physician. They do not require a collaborating practice agreement.Discussion: Board of Nursing Regulations

Granting APRNs the legal authority to practice within the full scope of their education and experience will ease the healthcare provider shortage, reduce healthcare costs, increase patient access to care, and allow the APRNs to utilize their knowledge and skills to the full advantage (Nurse Practitioner Schools, 2020). APRNs must keep fighting for their rights as part of the collaborative healthcare team. APRNs need to be active in the political process to ensure continued progress towards this goal (Milstead & Short, 2019).

In Michigan, APRNs can adhere to MI HB 5400 by learning about the specific changes to the regulations. They must renew their collaborating agreement annually or when any changes to the agreement are needed. It is important to know which medications are considered controlled and uncontrolled and to know the schedules. For example, in 2019, Michigan changed gabapentin to a schedule five controlled drug to combat the opioid epidemic (Department of Licensing and Regulatory Affairs, 2019). Discussion: Board of Nursing Regulations

References

Department of Licensing and Regulatory Affairs. (2019, January 9). Gabapentin scheduled as

controlled substance to help with state’s opioid epidemic. https://michigan.gov/lara/

4601,7-154-11472-487050-00.html

Michigan Legislature. (2017, April 9). Public Health Code Act 368 of 1978: 333.17211a

Advanced practice registered nurse; authority to prescribe nonscheduled prescription

drug or controlled substance. https://legislature.mi.gov/(S(au34kb10nbx0fbhmhac50qc))/

Milstead, J.A., & Short, N.M. (2019). Health policy and politics: A nurse’s guide (6th ed.).

Burlington, MA: Jones & Bartlett Learning

Minnesota Board of Nursing. (n.d.). Advanced practice registered nurse (APRN) licensed

general information. https://mn.gov/boards/nursing/advanced-practice/-practice-registered-nurse-(aprn)-licensure-general-information/

Nurse Practitioner Schools. (2020, October 26). Michigan nurse practitioners: The fight for full

practice authority. https://nursepractitionerschools.com/blog/michigan-np-practice-

authority/

NURS 6051:

To Prepare:

  • Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs.
  • Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed. Discussion: Board of Nursing Regulations

Module 3: Data-Information-Knowledge-Wisdom (DIKW) (Week 5)

Laureate Education (Producer). (2018). Data-Information-Knowledge-Wisdom [Video file]. Baltimore, MD: Author.

Accessible player

Learning Objectives

Students will:

  • Analyze benefits, challenges, and risks of using big data in clinical systems
  • Recommend strategies to mitigate challenges and risks of using big data in clinical systems
Due By Assignment
Week 5, Days 1–2 Read/Watch/Listen to the Learning Resources.
Compose your initial Discussion post.
Week 5, Day 3 Post your initial Discussion post.
Week 5, Days 4-5 Review peer Discussion posts.
Compose your peer Discussion responses.
Week 5, Day 6 Post at least two peer Discussion responses on two different days (and not the same day as the initial post).
Week 5, Day 7 Wrap up Discussion.

Learning Resources

Required Readings

McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.

  • Chapter 22, “Data Mining as a Research Tool” (pp. 477-493)
  • Chapter 24, “Bioinformatics, Biomedical Informatics, and Computational Biology” (pp. 537-551)

Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45–47. Retrieved from https://www.americannursetoday.com/wp-content/uploads/2017/11/ant11-Data-1030.pdf

Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

 

Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126(1), 3–13. 

Discussion: Board of Nursing Regulations

Required Media

Laureate Education (Executive Producer). (2012). Data, information, knowledge and wisdom continuum [Multimedia file]. Baltimore, MD: Author. Retrieved from http://mym.cdn.laureate-media.com/2dett4d/Walden/NURS/6051/03/mm/continuum/index.html

 

Laureate Education (Producer). (2018). Health Informatics and Population Health: Analyzing Data for Clinical Success [Video file]. Baltimore, MD: Author.

Accessible player

Vinay Shanthagiri. (2014). Big Data in Health Informatics [Video file]. Retrieved from https://www.youtube.com/watch?v=4W6zGmH_pOw

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. Discussion: Board of Nursing Regulations

From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. Discussion: Board of Nursing Regulations It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth.

As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards.

To Prepare:

  • Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs.
  • Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed. Discussion: Board of Nursing Regulations

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.

By Day 6 of Week 5

Respond to at least two of your colleagues* on two different days, by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks.

*Note: Throughout this program, your fellow students are referred to as colleagues.

Submission and Grading Information

Grading Criteria

To access your rubric:

Week 5 Discussion Rubric

Discussion: Board of Nursing Regulations

Post by Day 3 and Respond by Day 6 of Week 5

To participate in this Discussion:

Week 5 Discussion