Frequent Causes of Medical Errors Assignment

Frequent Causes of Medical Errors Assignment

write on the following topic and include the references below as well as new references in app style. graduate level course writing is required

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Frequent Causes of Medical Errors How to Improve Medical Errors,


Agrawal, A., & Wu, W. Y. (2009). Reducing medication errors and improving systems reliability using an electronic medication reconciliation system. The Joint Commission Journal on Quality and Patient Safety, 35(2), 106-114.

Medication Reconciliation recognizable by many as MedRecon is a common Commission National Patient Safety Goal as from the year 2006. A research was done to test its ability to reduce the medication-prone errors and to aid in improving the consistency of its process. The research methodology was through an electronic MedRecon system where two analyses underwent subjection to performance; the first analysis manifested itself on a two-week pilot assessment of the system which formed its basis on the 120 MedRencon occurrences and the second analysis actualized itself according to the 17-month system assessment which was in line with the 19,357 MedRecon measures. The result of the evaluation indicated that the exception of the home medication is the prevalent kind of discrepancy.

American College of Clinical Pharmacy, McBane, S. E., Dopp, A. L., Abe, A., Benavides, S., Chester, E. A., … & RothrockChristian, T. (2015). Collaborative drug therapy management and comprehensive medication management―2015. Pharmacotherapy: The Journal of Human Pharmacology and Drug, 35(4), e39-e50.

The American College of Clinical Pharmacy (ACCP) earlier provided a location sentiment on collaborative drug therapy management (CDTM). From 2003, primary law narrating CDTM has developed and extended all through the U.S. CDTM is suitable to aid the release of Comprehensive Medication Management shortened as CMM by experimental pharmacists. The CMM is inherently highlighted by the ACCP to be a central component of the guiding principles of practice for the available clinical pharmacists, and is planned to increase medication‐allied results in a joint practical surrounding. Latest methods of care liberation stress on team‐based, patient-oriented care and commonly relate reimbursement to the success of significant humanistic, clinical along with economic findings. Therefore, pharmacists working below the CDTM understandings or via other potential privileging methodologies are best located to offer CMM.


Kohli, R., & Tan, S. S. L. (2016). Electronic health records: how can IS researchers contribute to transforming healthcare? Mis Quarterly, 40(3), 553-573.

Electronic Health Records allow incorporation of records on patient’s health for scheduling secure as well as appropriate handling. When shared with statistical analysis, total-level electronic health records permit assessment and growth of valuable medicine and therapy for chronic fatigues. Through hopeful endurances when putting into practice, electronic health records in progress, societal and structural challenges reduce electronic health records growth and extensive application. The challenges are as a result of persistent problems like privacy, interoperability, and security within the significant owners (patients, purveyors, and providers). Depending on the stakeholders’ desires along with the issues, we recognize two major thematic scenarios—analytics and integration—through which the realizable information systems order can lead to electronic health record.



Ranji, S. R., Rennke, S., & Wachter, R. M. (2014). Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review. BMJ Qual Saf, 23(9), 773-780.

The authors of this article conducted tentative-centered research on the specific database-affiliated Agency for Healthcare Research and Quality abbreviated as AHRQ along with the Patient Safety Net so that they can identify the effects of Computerized Provider Order Entry better known as the CPOE. They performed it in conjunction with Clinical Decision Support System on Adverse Drug Events (ADE) rates in patients and outpatients locale. The research, consequently, found that a mixture of CPOE and CDSS helps in the reduction of prescribing errors but does not necessarily show the signs of preventing the clinical Adverse drug events to either the patients or outpatients. Therefore, the latest safety problem for example alert fatigue is known for limiting the system’s safety get in action.


Singh, H., & Sittig, D. F. (2015). Measuring and improving patient safety through health information technology: The Health IT Safety Framework. BMJ Qual Saf, bmjqs-2015.

Through this article, the authors Singh and Sittig argues that despite The Health Information Technology possessing the ability to advance patients security in the hospitals, its realization, and frequent usage has resulted into some unintended impacts hence the introduction of new safety measure. The primary reason for introducing Health IT was to enable the healthcare fraternity to widen legitimate, possible methodologies meant to quantify security considerations within the crossroads of Health Information Technology and patient wellbeing. However, this safety measure was not feasible enough which later resulted to the introduction of The Health Information Technology Safety Framework to offer a theoretical base for health IT-in line with patient security dimension, monitoring, and enhancement.


Van der Veen, W., van den Bemt, P. M., Bijlsma, M., de Gier, H. J., & Taxis, K. (2017). Association between workarounds and medication administration errors in bar-code-assisted medication administration: protocol of a Multicenter Study. JMIR research protocols, 6(4).

The bar-code-assisted medication administration system had been proved to have the potential of reducing the medication administration errors to the hospitalized patients. However, the system is said not to undergo the usage as intended resulting in workarounds which may harm the patients. A study was therefore conducted to identify the relationship connecting the workarounds and the medical administration errors in the bar-code-assisted medication administration process. Determination of the frequency and the type of workaround and medication administration errors and to explore the potential risk factors for workarounds was also the aim of the study. In conclusion, results on causes of workarounds can help in a determined methodology to decrease workarounds and hence boost patient protectionism.


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