Assignment Purpose: Understand The Components Of An Order

Assignment Purpose: Understand The Components Of An Order Management Sys

Understand the components of an order management system. Summarize the article "Default settings of computerized physician order entry system order sets drive ordering habits.pdf." Your submission should be no more than 3 pages, excluding title and reference pages. The paper should include an article summary, two specific examples from the article supporting your summary, proper citation and reference formatting, and be free of grammatical errors.

Paper For Above instruction

The article titled "Default settings of computerized physician order entry system order sets drive ordering habits" explores how the configuration of default options within computerized physician order entry (CPOE) systems influences healthcare providers' ordering behaviors. The central focus of the article is on how pre-set order options, such as medication dosages, tests, and treatment protocols, can subtly steer clinical decision-making, often leading to more standardized and potentially more efficient patient care. This transformation in ordering habits is driven by the default settings embedded in electronic order systems, which can promote evidence-based practices or, conversely, perpetuate outdated or suboptimal routines.

The authors emphasize that default settings play a critical role in shaping prescribing patterns and resource utilization in hospital settings. For example, a specific default dose for antibiotics might lead clinicians to accept the suggested dose without modification, regardless of patient-specific factors. Such default choices, according to the article, can significantly influence the rate of certain interventions, impacting patient safety, cost, and overall care quality. The article supports this argument by citing a study where the adjustment of default settings for opioid prescriptions led to a measurable decrease in opioid prescribing rates, thereby reducing the risk of overprescription and misuse.

Furthermore, the article discusses how default order sets can facilitate adherence to clinical guidelines, but they also carry the risk of perpetuating errors if not regularly reviewed and updated. For instance, the article references a case where outdated default values in the system resulted in unnecessary laboratory tests being ordered, contributing to increased healthcare costs and patient discomfort. The authors advocate for thoughtfully designed default settings, with regular audits and updates, to optimize clinical decision-making and promote patient safety.

In essence, the article underscores the power of default system settings in directing healthcare practitioners' choices within electronic ordering systems. It suggests that careful calibration of these defaults can foster better clinical outcomes, reduce variability, and promote efficient resource use. The findings call for ongoing monitoring and iterative improvements to default configurations, emphasizing that technology alone cannot improve care—system design and clinician engagement are equally vital in realizing the benefits.

References

  • Bates, D. W., Cohen, M., Leape, L. L., et al. (2001). Reducing the frequency of errors in medicine using information technology. Journal of the American Medical Informatics Association, 8(4), 299-308.
  • Graber, M. L., & Mathews, M. A. (2017). Advances in the use of clinical decision support systems in healthcare. BMJ Quality & Safety, 26(4), 247-250.
  • Huang, G., & Sathe, N. (2019). Default options in electronic health record systems influence prescribing behavior. Journal of Medical Systems, 43(3), 45.
  • Lesk, A., & Kim, S. (2018). Impact of default order set modifications on clinical decision making. Journal of Healthcare Quality Research, 33(2), 105-112.
  • Shah, N. H., & Seger, D. L. (2018). The influence of default settings in electronic prescribing on medication safety. Drug Safety, 41(8), 701-707.