Standardized Terminologies in Nursing

Standardized Terminologies in Nursing

Explain how data and information contribute to the formation of knowledge for nursing practice. (1/2 page)

Data, information, and knowledge are often confused as meaning the same thing. While data refers to raw, uncurated, and unstructured facts or descriptions about the world, information is the data that has been organized, collated, structured, processed, and presented in a manner that is useful for a given field. Knowledge, however, refers to our understanding of the world based on the representations from the given data or knowledge. Contemporaneously, health care organizations generate a lot of diverse, multi-channel, and large-scale data with significant capabilities in providing new ideas, insights, and methods for nursing practices. The Big Data, once analyzed through advanced analytics, has immense application value in areas like clinical decision-making support and nursing research, disease monitoring, nursing practice level improvement, and nursing evaluation.

It is the nursing knowledge that drives evidence-based nursing practice or the conscientious use of current best evidence in making crucial decisions about the care of patients. Consequently, although the nursing practice is dynamic, organizations should establish big data centers where nurses may create a knowledge system structure, improve professional nursing databases, unify language standards, and share resources. Data and information can drive all the discrete nursing knowledge used in practice, including reflective, ward cultural, procedural, theoretical, and personal practice knowledge. As nurses collect data and information and use it to shape evidence-based practice and nursing knowledge, they can also realize professional accountability (Hall, 2005).

Explain how knowledge for nursing practice might differ between healthcare organizations. (1/2 page)

Much of the nursing practice knowledge that drives evidence-based practice is based on internal research focused on death, health disparities, life quality improvement, disease prevention, and health promotion (Hughes, 2008). It also encompasses improvement of effectiveness, efficiency, safety, and quality of health care. For instance, one method is through determining the best approaches for encouraging people to be responsible for health promotion and symptom management. Secondly, nursing practitioners may evaluate effective health-promotion strategies for communities, families, and individuals. The third option could be through using genetic information to assess disease risk and treatment.

However, it is critical to remember that nurses operate in different work environments, hence playing a crucial role n determining the safety and quality of care of patients. Nurses comprise of the largest workforce in health care and apply their experience, skills, and knowledge to cater to the several and changing patients’ need. Knowledge for nursing practice might differ between various health care organizations because of different allocation of resources, organizational safety standards, and quality of care. Furthermore, corporate cultures differ, and nurses in specific organizations might not have the correct level of empowerment to provide the right care. Lastly, the health care service environments differ in terms of the complex interactions of resources, procedures, policies, technology, clinicians, and disease process. Hence, nursing knowledge could vary between these organizations. The differences affect the nature of data, which is collected to drive evidence-based care. Fifth, different organizations also subscribe to different standardized nursing terminologies for care delivery, which ultimately affects their nursing practice knowledge.

Explain how these differences might contribute to standards for nursing. Be specific and provide examples. (1/2 page)

Standards for nursing provide guidelines for nursing performance. They provide rules or define the meaning of competent care provisions in this era of evidence-based health care. Health care organizations rely on nursing practice knowledge that they deem as appropriate for the provision of maximum patient safety, quality, and care outcomes (Davis, 2014). However, when organizations rely on different approaches and processes such as data and data analytics methods, leveraging the nursing documentation for the generation of evidence on nursing practice becomes difficult, hence the arising of different standardizations. Consequently, they would ultimately influence patient care outcomes, safety, and quality.

Explain the importance of standardized nursing terminologies. (1/2 page)

Standardized terminologies and classification systems in nursing are crucial for leveraging nursing documentation to enable the generation of various evidence concerning nursing practices (Strudwick & Hardiker, 2016). They also ensure that organizations meet the stringent procedures for the full interoperability and integration required in electronic health records (EHR)

Describe the benefits and challenges of implementing standardized nursing terminologies in nursing practice. Be specific and provide examples. (1 page)

The Standardized Nursing Terminologies (SNT) recognized by the American Nurses; Association (ANA) can be divided into three types. They include the Interface Terminologies (e.g., ABC Codes, Nursing Outcomes Classification, and Clinical Care Classification System, etc.), and the Minimum Data Sets (which consists of the Nursing Management Minimum Data Sets and Nursing Minimum Data Sets). The third type is the Reference Terminologies (including SNOMED Clinical Terms and Logical Observation Identifiers Names and Codes) (The Office of the National Coordinator for Health Information Technology, 2017). Suitable Standardized terminologies and data governance are crucial in ensuring accuracy and efficiency in data collection to enable smooth and seamless analytics and reporting. Standardized Terminologies helps in simultaneous capturing of data and information contained in disparate systems not only at a reduced cost but also enhances provider and patient satisfaction. Health care organizations can have a single source of truth based on up-to-date and accurate data.

Furthermore, it leads to easy information sharing, analytics, and information health improvement, productivity enhancement, and semantic interoperability improvement (Champ Software Administration, 2012). However, standardized terminologies are designed, created, applied, and maintained by different standard bodies hence complicating the process of data analytics. Furthermore, these terminologies are produced with different licensing requirements, formats, and cycles.