The Application of Data to Problem-Solving.

The Application of Data to Problem-Solving.

The Application of Data to Problem-Solving., ,Discussion: The Application of Data to Problem-Solving In the modern era, there are few professions that do not to some extent rely on data. Stockbrokers rely on market data to advise clients on financial matters. Meteorologists rely on weather data to forecast weather conditions, while realtors rely on data to advise on the purchase and sale of property. In these and other cases, data not only helps solve problems, but adds to the practitioner’s and the discipline’s body of knowledge.,Of course, the nursing profession also relies heavily on data.The Application of Data to Problem-Solving. The field of nursing informatics aims to make sure nurses have access to the appropriate date to solve healthcare problems, make decisions in the interest of patients, and add to knowledge. In this Discussion, you will consider a scenario that would benefit from access to data and how such access could facilitate both problem-solving and knowledge formation. To Prepare: Reflect on the concepts of informatics and knowledge work as presented in the Resources. Consider a hypothetical scenario based on your own healthcare practice or organization that would require or benefit from the access/collection and application of data. Your scenario may involve a patient, staff, or management problem or gap. Laureate Education (Producer). (2018). What is Informatics? [Video file]. Baltimore, MD: Author. Learning Objectives Students will: Analyze how data collection and access can be used to derive knowledge in a healthcare setting Analyze the role of the nurse leader in using clinical reasoning and judgement in the formation of knowledge Explain the role of the nurse as a knowledge worker Explain concepts of nursing informatics Create infographics related to nursing informatics and the role of the nurse as a knowledge worker.The Application of Data to Problem-Solving. Note: To access this week’s required library resources, please click on the link to the Course Readings List, found in the Course Materials section of your Syllabus. Required Readings McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning. Chapter 1, “Nursing Science and the Foundation of Knowledge” (pp. 7–19) Chapter 2, “Introduction to Information, Information Science, and Information Systems” (pp. 21–33) Chapter 3, “Computer Science and the Foundation of Knowledge Model” (pp. 35–62) Nagle, L., Sermeus, W., & Junger, A. (2017). Evolving role of the nursing informatics specialist. In J. Murphy, W. Goossen, & P. Weber (Eds.), Forecasting Competencies for Nurses in the Future of Connected Health (212–221). Clifton, VA: IMIA and IOS Press. Retrieved from Sweeney, J. (2017). Healthcare informatics. Online Journal of Nursing Informatics, 21(1). Note: You will access this article from the Walden Library databases. Required Media Laureate Education (Producer). (2018). Health Informatics and Population Health: Trends in Population Health [Video file]. Baltimore, MD: Author. Accessible player Public Health Informatics Institute. (2017). Public Health Informatics: “translating” knowledge for health [Video file]. Retrieved from Application of Data to Problem-Solving.,Informatics,Big Data is valuable but cumbersome. Its value comes from the ability to improve health care provided to patients. In this case, nursing informatics offers an opportunity for nurses to distinguish between integration of data, meaningful data and abundance of data. For that matter, informatics offers nurses the opportunity to meet these data dilemmas in their daily workflows and practices, especially in an environment where treatment modalities and new technologies are rapidly evolving and changing (Davis &LaCour, 2014).,The process of patient and medical information organization, storage, integration and retrieval has traditionally been conducted through paper-based systems. However, the large volumes of associated data have turned these paper-based systems into disparate tools with limited functions. While health care does a commendable job in capturing Big Data, the shift towards computer-based systems (away from paper-based systems) have vastly increased communication speeds and data volumes. The human capacity to efficiently digest, interpret and act on Big Data has, unfortunately, not evolved. This situation has created a need for nursing informatics that manages the communication, information-processing and cognitive tasks associated with nursing research, education and practice. Through the applications of computer technology, nursing informatics manages all aspects of health information and data (McGonigle&Mastrian, 2018).The Application of Data to Problem-Solving.,Access to data, within the context of nursing informatics, facilitates both problem-solving and knowledge formation. For instance, understanding health disparities within a population requires access to demographic data. The demographic data would present facts such as address of residence, income, marital status, race and ethnic origin, gender and age. Access to this information as well as informatics capabilities would help nurses in understand why certain demographic groups and populations suffer from morbidities or illnesses at rates that disproportionally differ from figures reported for the general population. Other than health disparities, the information would also inform on health care disparities with regards to why certain demographic groups have disproportionally poor access to affordable health care, to include poor access to transportation or providers (e.g. no local medical facilities), as well as lack of insurance and inability to pay for health care (Saba & McCormick, 2015).,Access to the demographic data and informatics capabilities facilitates problem-solving through developing an understanding which population is experiencing disparities and why. In addition, the analyzed information can identify the differences that inform on the disparities. For example, if a population that lives in a swampy reports disproportionately higher incidences of tropical diseases than the general population, then the swampy area could be considered as a cause or contributor to the tropical disease incidences. This helps with solving the problem by identifying why the population differs from others and which aspects of their demographics can be targeted to reduce incidences of tropical diseases (Davis &LaCour, 2014).The Application of Data to Problem-Solving.,Access to the demographic data and informatics capabilities facilitates knowledge formation through developing an understanding of the population of interest. Without data, a nurse is unable to know the specific population characteristics and would only at best make guesses that are unlikely to be true. With access to accurate data, the nurse becomes more knowledge about the population and can efficiently distribute resources to address health problems facing them (Davis &LaCour, 2014). In this respect, nursing informatics benefits greater from access to data since it facilitates both problem-solving and knowledge formation.The Application of Data to Problem-Solving.

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