Electronic Medical Record Fall Assessment

Electronic Medical Record Fall Assessment


Assignment: Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies

New technology—and the application of existing technology—only appears in healthcare settings after careful and significant research. The stakes are high, and new clinical systems need to offer evidence of positive impact on outcomes or efficiencies.

Nurse informaticists and healthcare leaders formulate clinical system strategies. As these strategies are often based on technology trends, informaticists and others have then benefited from consulting existing research to inform their thinking.


In this Assignment, you will review existing research focused on the application of clinical systems. After reviewing, you will summarize your findings.

To Prepare:

  • Review the Resources and reflect on the impact of clinical systems on outcomes and efficiencies within the context of nursing practice and healthcare delivery.
  • Conduct a search for recent (within the last 5 years) research focused on the application of clinical systems. The research should provide evidence to support the use of one type of clinical system to improve outcomes and/or efficiencies, such as “the use of personal health records or portals to support patients newly diagnosed with diabetes.”
  • Identify and select 5 peer-reviewed articles from your research.

The Assignment: (4-5 pages)

In a 4- to 5-page paper, synthesize the peer-reviewed research you reviewed. Be sure to address the following:

  • Identify the 5 peer-reviewed articles you reviewed, citing each in APA format.
  • Summarize each study, explaining the improvement to outcomes, efficiencies, and lessons learned from the application of the clinical system each peer-reviewed article described. Be specific and provide examples.



Electronic Medical Record Fall Assessment

Fall among patients is a critical health problem, which can be reduced through eMR fall risk assessment tools to reduce patient harm and guarantee safety. The eMR fall risk assessment tools can be used as an intervention strategy for particular risk levels to help ensure quality care.

McCarty et al. 2018 conducted a study to identify and implement evidence-based fall risk tool in emergency rooms and integrated into the health care delivery system by engaging nurses who would use the tool to promote quality care.  The study was not human subject research, and it employed the quantitative research approach, which involved the use of the Lowa Model of EBP to promote quality care. The Memorial Emergency Department Fall-Risk Assessment Tool (MEDFRAT) was used in the eMR and interventions developed for the fall risk levels. Data then collected through education sessions, which involved interviews, observations and focus group discussions on the impact of MEDFRAT implementation. The study results showed that the use of MEDFRAT led t a decrease in falls in the emergency department, and nurses appreciated to be part of the process and felt empowered with the EBT tool to improve patient care, which translates to decreasing falls in the emergency rooms. The main advantage of the project is that the Lowa Model helped to implement the EB quality care changes nurses to reduce patient falls. The major disadvantage of the study was that the study was carried out in only one healthcare setting and it did not consider the enjoyments of other health care systems to reach a more conclusive outcome.

Electronic Medical Record Fall Assessment

A study by Marier, Olsho, Rhodes, and Spector, (2015) examines how to improve the fall risk among patients using EMRs. The main purpose of the study is to determine how EMRs may improve ability to identify patients at highest risk for falls. A quantitative and a qualitative research approach was used in the study to evaluate the extend of preventing fall risk among inpatients.  The researchers collected data though observation of 13 control group nursing homes and medical records and reports from a large for-profit California nursing home chain were analyzed. Te study results showed that data from an EMR system helps to identify patients with high risk of fall. This improvement is based on the frequency that EMR data are updated. The main advantage of the study was that it provided critical evidence on EMR application for quality improvement, which in turn leads to large cost savings. The major disadvantage of the study was that the sample was significantly generalized by being restricted to nursing homes alone and it may unduly represent higher quality nursing homes with more quality use of EMR systems.


Lytle, Short, Richesson, and Horvath, (2015) conducted a study on clinical decisions that can support and prevent fall risk among patients.  The purpose of the study was to improve documentation of fall risk assessments particularly for patients with high risk of fall and improve clinical outcome by reducing patent’s falls. The study employed a pre/ post-quasi-experimental study design and a qualitative and quantitative research approach to conduct clinical decisions that can support and prevent fall risk among patients. Data was collected through focus group discussions among nursing staffs and documents and reports on fall safety falls and falls with injury rates at Duke University Hospital. The results of the study showed that documentation of fall risk assessments and fall prevention plans of care increased significantly. Nurses also accepted and the fall risk program or the HER tool and reported that they were favorable as fall risk assessment reminders, which led to improvement in clinical outcomes. The primary advantage of the study was that the plan of care alert within the HER facilitated the admission of fall risk assessment at Duke University Hospital. The major disadvantage of the study was that the retrospective chart review did not have a fall prevention plan of care known which may have led to inconclusive results.

Electronic Medical Record Fall Assessment

Hong, Kim, Jin, Piao, and Lee, (2015) in their study aimed to determine the the risk factors that caused falls among patients using EMRs and to find out how falling influenced health outcomes of inpatients. The study employed a quantitative research approach as it used a retrospective case-control study design ton statistically test this formulated hypothesis. The researchers collected data using documents and reports on EMR that were implemented between 2008 and 2011.  The researcher also used observation to collect data by employing a fall group and a non-fall group in to the study. The study results indicated that fall have a number of risk factors and they influence patient’s outcome negatively according to the EMR data. Therefore, introducing a fall prevention tool will help to reduce fall risk. The main advantage of the study is that it guides pediatric nurses in delivering care to prevent falls among inpatients. The major disadvantage of the study was that focus groups are limited to generalization since the study respondents knew very little and the study outcome was not based on the actual use but reactions from focus groups.

Research Paper Help

Dahl (2017) carried out a study on the effectiveness of newborn Safety information to prevent newborn falls. The purpose of the study was a guide outcome of the clinical issue by evaluating the efficacy of newborn safety acknowledgment and information tool in influencing falls among newborn inpatients. The study used qualitative and quantitative study designs to collect evidence and evaluate the effectiveness of the Newborn Safety Information tool on the impact of falls in newborns. The researcher collected data using newborn case events, and additional quantitative and qualitative data were collected from incident reports and nurse’s narrative case records. The study found out that the newborn acknowledgment and information tool was used by nurses and mothers as intended and helped in communication between nurses and parents of newborns to improve safety and prevent falls of a newborn in an inpatient setting. The advantage of the study was that the Newborn Safety Information and Acknowledgement tool helped in communication between the nurses and parents of newborn babies. This helped to measure safety outcomes and interventions.  The limitation of the study was the short time frame of post-intervention evaluation as it only happened for three months. Besides, the newborn safety information and acknowledgement too had not been validated.



Dahl, C. L. (2017). The Effectiveness of Newborn Safety Information and Acknowledgement in

Preventing Inpatient Newborn Falls. PP. 1-79.

Hong, H. J., Kim, N. C., Jin, Y., Piao, J., & Lee, S. M. (2015). Trigger factors and outcomes of

falls among Korean hospitalized patients: analysis of electronic medical records. Clinical nursing research24(1), 51-72.

Lytle, K. S., Short, N. M., Richesson, R. L., & Horvath, M. M. (2015). Clinical Decision Support

for Nurses: A Fall Risk and Prevention Example. CIN: Computers, Informatics, Nursing33(12), 530-537.

Marier, A., Olsho, L. E., Rhodes, W., & Spector, W. D. (2015). Improving prediction of fall risk

among nursing home residents using electronic medical records. Journal of the American Medical Informatics Association23(2), 276-282.

McCarty, C. A., Woehrle, T. A., Waring, S. C., Taran, A. M., & Kitch, L. A. (2018).

Implementation of the MEDFRAT to Promote Quality Care and Decrease Falls in Community Hospital Emergency Rooms. Journal of Emergency Nursing44(3), 280-284.




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