Implications of Using Various Data Sources

Implications of Using Various Data Sources

The policies recognize the importance of using additional data streams to improve the organization’s patient-service quality. Health centers’ methods and types of care are evolving as technology develops. By expanding the many uses of big data, new opportunities have emerged due to these extra data streams. The development of policies followed the utilization of additional data sources to ensure the effective use of the data (Milstead, 2019)—for example, policies on accountability and openness when using various data types.

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Determining the appropriate equipment to improve patients’ treatment is one-way nurse-sensitive data can shape health policy at the state and national levels. One of the indicators of patient satisfaction with nursing care is quality care. Because the healthcare sector is constantly bombarded with new equipment, nurses must ensure the equipment’s efficiency. The equipment’s efficiency not only saves money but also provides high-quality care. Nurses and patients engage daily, and the healthcare industry can learn about the best equipment to enhance their interactions. Nurse-sensitive data is required to fulfill the goal of including additional data streams in electronic health records. The healthcare sector will ensure quality patient care by knowing the needed other equipment.

Furthermore, nurse-sensitive data can be utilized to develop rules that enhance safety in the healthcare industry. The causal relationship between nurses and patients changes as nurses’ workload increases (Vayena et al.,2018). The increased workload of nurses has contributed to the increased risk of stress and burnout. Nurses are in danger of making mistakes when providing primary care due to the high-intensity nature of their profession. When giving care, nurses want a comfortable working environment. These are just a few of the safety hazards that nurses face daily. However, operational errors such as equipment breakdowns and interruptions will likely interfere with the nurses’ capacity to carry out activities successfully and safely (Welton, 2016). Organizations can use nurse-sensitive data to identify the regions where nurses are most strained. Finding these areas will aid in developing policies that will address the issue and improve patient safety. The healthcare industry can use nurse-sensitive data to design safety-related policies. As a result, nurses’ risks and errors will be decreased, boosting their ability to do jobs effectively and safely.

Similarly, nurse-sensitive data can be used to assess the effectiveness of nursing care. Nurses are responsible for determining the influence of nursing practice on patient outcomes in health promotion (Jones, 2016)—the available data on nursing care aid in determining patient outcomes in health promotion. Direct assistance Nurses play an essential role in self-regulation since they are the best source of information about nursing outcomes and patient care. Nurses contribute to the avoidance of adverse events, which improves patient outcomes. Nurses can enhance patient outcomes by using the information they acquire while interacting with patients. It is feasible to determine the quality of care within the country’s health sector by standardizing the measurement of nurse-sensitive patient outcomes. These results represent the nurse’s contribution to the patient’s well-being. Nurse-sensitive data can be used in healthcare to evaluate nursing interactions and patient outcomes. The findings may aid in the improvement of care quality through motivation.

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References

Jones, T. (2016). Outcome measurement in nursing: Imperatives, ideals, history, and challenges. OJIN: The Online Journal of Issues in Nursing, 21(2), 1.

Milstead, J. (2019). Health policy and politics: A nurse’s guide (6th ed.). Vayena, E., Dzenowagis, J., Brownstein, J. S., & Sheikh, A. (2018). Policy implications of big data in the health sector. Bulletin of the World Health Organization, 96(1), 66.

Welton, J. M. (2016). Nurses and the ethics of big data. Nursing Economics, 34(5), 257.

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Please answer this question about the case study with at least two references. Should be 1 paragraph for each question (2 sections)

CASE STUDY 8-2: IMPLICATIONS OF USING VARIOUS DATA SOURCES

The technology committee at your medical center has been asked to look at current applications within the facility that generate data streams to determine which applications should feed into patient records. Some devices, such as glucometers and other point-of-care testing devices, automatically provide results in the patient’s electronic health record. Other devices that track fitness, for example, are heavily used outside the medical center but have not been linked to health records. As the APRN representative on the committee, you have been asked to provide your expert opinion on integrating these additional data streams.

QUESTION:

1. Discuss how nurse-sensitive data can be used to create health policy at the state or national level. How does the nurse communicate the importance of these data inclusions to policymakers?