Answer for DNP 805 Select a particular medication or clinical problem Re: Topic 3 DQ 2

Answer for DNP 805 Select a particular medication or clinical problem

Re: Topic 3 DQ 2

One of the major concerns in the clinical environment is patient safety. The implication is that various stakeholders have to use strategies that ensure patient safety and efficient patient service. Some of these problems are clinical or medication problems. In recent times, technology has played a significant role in solving these problems. In particular, the clinical decision support system and the computerized physician order entry system have been at the center stage of solving medication and clinical problems (Sutton et al., 2020).

One case where a combination of the two technologies can be combined for better outcomes is the case of a critically ill patient or patients living with more than one condition. Such patients usually require several medications and tests. The implication is that the volume of treatments and orders for these patients are high hence increasing the chances of confusion and medication errors (Liu et al., 2020). The computerized physician order entry system can be key in such a case in organizing and updating new orders or entries that have been created by the healthcare providers. Such updates and organization increase the efficiency of patient care. In addition, treatment and medication error incidences are lowered, and the quality of care is also improved.

The use of a clinical decision support system can also be key in such a case. CDSS analyses data that can then be used in making decisions and improving patient care. Critically ill patients and patients living with more than one chronic condition are usually in need of quality care and special attention (Liu et al., 2020). The use of CDSS is important in such cases as it helps the healthcare professionals to make better decisions regarding their care, hence better outcomes.

References

Liu, S., See, K. C., Ngiam, K. Y., Celi, L. A., Sun, X., & Feng, M. (2020). Reinforcement learning for clinical decision support in critical care: comprehensive review. Journal of Medical Internet Research, 22(7), e18477. https://doi.org/10.2196/18477

Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020). An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ digital medicine, 3(1), 1-10. https://doi.org/10.1038/s41746-020-0221-y