The term knowledge worker was first coined by management consultant and author Peter Drucker in his book, The Landmarks of Tomorrow (1959). Drucker defined knowledge workers as high-level workers who apply theoretical and analytical knowledge, acquired through formal training, to develop products and services. Does this sound familiar?
Nurses are very much knowledge workers. What has changed since Druckers time are the ways that knowledge can be acquired. The volume of data that can now be generated and the tools used to access this data have evolved significantly in recent years and helped healthcare professionals (among many others) to assume the role of knowledge worker in new and powerful ways.
In this Assignment, you will consider the evolving role of the nurse leader and how this evolution has led nurse leaders to assume the role of knowledge worker. You will prepare a PowerPoint presentation with an infographic (graphic that visually represents information, data, or knowledge. Infographics are intended to present information quickly and clearly.) to educate others on the role of nurse as knowledge worker.
Reference: Drucker, P. (1959). The landmarks of tomorrow. New York, NY: HarperCollins Publishers.
- Review the concepts of informatics as presented in the Resources.
- Reflect on the role of a nurse leader as a knowledge worker.
- Consider how knowledge may be informed by data that is collected/accessed.
- Explain the concept of a knowledge worker.
- Define and explain nursing informatics and highlight the role of a nurse leader as a knowledge worker.
- Include one slide that visually represents the role of a nurse leader as knowledge worker.
- Your PowerPoint should Include the hypothetical scenario you originally shared in the Discussion Forum. Include your examination of the data that you could use, how the data might be accessed/collected, and what knowledge might be derived from that data. Be sure to incorporate feedback received from your colleagues responses.
- original post
- Data and quality care are interconnected. In essence, as per the core competency outlined in the 2002 summit, nurses must master the utilization of health informatics (Kimberly & Glassman, 2017). Health informatics provides a means to collect extensive data on all aspects of patient care and inform decision-making. Thus, big data from health informatics offers a means to prevent and detect patterns in disease presentation, understand the patient needs and minimize wastages (Zhu et al., 2019). Thus, data collected during the continuum of care is a critical ingredient in the decision-making process, positively impacting patient outcomes and enhancing care coordination.A hypothetical scenario that is dependent on data includes the management of cancer. Specifically, the patient is referred to the local urologist based on the existing treatment guidelines. Referral to the urologist is informed by the screening test in the form of digital rectal examination (DRE) and serum prostate-specific antigen (PSA). The DRE and the PSA undertook by the GP will be accessed from EHR patient registries through the meaningful use programs. This is partly due to the meaningful use of programs that allow facilities to link EHR to cancer registries (Ehrenstein et al., 2019). Thus, data in the form of a patient identifier, clinical diagnosis, laboratory data, medication, and demographics will be accrued through online means rather than requiring the patient to undergo similar tests and restart the process of making new entries.The provision of meaningful use will allow access to patient data. In this regard, under the HIPAA provision, the nurse can access pertinent data concerning the patient without necessarily violating their right to privacy and confidentiality (Midlands, 2016). Besides, the healthcare provider can access the data through fax and email using secured channels due to the compatibility of healthcare informatics. Similarly, patients can access their records by accessing the health care portals and sharing similar data with the nurses. The knowledge derived from the data would include the size of the prostrate on DRE, level of PSA, presence or the absence of LUTS and Gleason score, and the clinical stage (Midlands, 2016). Based on the after-mentioned data, the clinician gains insight into the appropriate care intervention and treatment based on the patient’s condition and the expected life span. In addition to the appropriate care and management, the data can also inform the design of surveillance and protocols if the patient is still active and whether progression of treatment should be undertaken or if the patient is an appropriate candidate for the Radical prostatectomy. Thus, during the patient provider interaction, the need for redundant test is lowered and the provider can easily collaborate with other provider in a timely and cost effective manner.Data aims at informing the clinical decision-making process. The experience from the scenario above would help the nurse leader use evidence from the data, intuition, and autonomy to develop models for managing the patient (Seidi et al., 2015). In essence, a nurse leader does not use the data at face value but instead collects, synthesizes, synthesizes, interprets the data, and uses clinical knowledge and experience in the management of similar cases to inform the design of treatment plans and follow-up plans to inform the care coordination process. Thus, big data is central in nursing, as with other industries, and the use of health informatics is a competency required of 21st-century nurses. Effective data use will positively impact the quality and cost of care.ReferencesEhrenstein, V., Kharrazi, H., Lehmann, H., & Taylor, C. O. (2019). Obtaining data from electronic health records. In www.ncbi.nlm.nih.gov. Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK551878/Kimberly, S., & Glassman, P. (2017). Using data in nursing practice. Https://Www.myamericannurse.com/Wp-Content/Uploads/2017/11/Ant11-Data-1030.Pdf.Midlands, W. (2016). Guidelines for the management of prostate cancer. https://www.england.nhs.uk/mids-east/wp-content/uploads/sites/7/2018/05/guidelines-for-the-management-of-prostate-cancer.pdfSeidi, J., Alhani, F., & Salsali, M. (2015). Nurses Clinical Judgment Development: A Qualitative Research in Iran. Iranian Red Crescent Medical Journal, 17(9). https://doi.org/10.5812/ircmj.20596Zhu, R., Han, S., Su, Y., Zhang, C., Yu, Q., & Duan, Z. (2019). The application of big data and the development of nursing science: A discussion paper. International Journal of Nursing Sciences, 6(2), 229234. https://doi.org/10.1016/j.ijnss.2019.03.001