Applying Simulation Techniques to Optimize Electronic Health Records

This report discusses the application of simulation techniques to enhance the effectiveness of Electronic Health Record (EHR) systems in modern healthcare. It addresses the prevalent dissatisfaction among medical professionals regarding EHR implementation and proposes using simulation to create high-fidelity EHR systems. Key simulation techniques include realistic EHR training that mirrors clinical scenarios, using real-life settings and infrastructures, adhering to standard protocols based on real hospital case studies, and addressing routine hospital phenomena with time-based data sequences. The simulation should progress from basic to complex scenarios, allowing learners adequate adaptation time. Developed by an inter-professional team, these simulations aim to improve EHR usability, patient safety, and overall satisfaction among healthcare providers.

Running head: SIMULATION TECHNIQUES ON ELECTRONIC HEALTH RECORDS
Simulation techniques on electronic health records
Name of the Student
Name of the University
Author’s Note:

1SIMULATION TECHNIQUES ON ELECTRONIC HEALTH RECORDS
Describe the simulation techniques you would use
EHR or electronic health record is an important tool for modern day health or clinical care.
With this use of EHR have increased rapidly among healthcare institution. Although,
dissatisfaction regarding EHR remains high amongst medical professionals (Stephenson et
al., 2014). Therefore, to create a high fidelity EHR systems and its successful implementation
following simulation techniques or principles should be used:
 EHR training should be conducted as form of simulation which should clearly depict
the clinical scenario and makes it familiar to the learner. It should also focuses on the
pre- determined optimal outcome. For instance, if the simulation is about entry of data
by end user, it should be aligned to the end user’s facility, visibility and ability
(Mohan, Scholl & Gold, 2015).
 Simulations should resemble real life scenario as much as possible. This includes
complex real life scenario and not just a demonstration of basic instruction. Real life
infrastructures and settings should be followed, so when the learner transit from
simulation to real life settings, it will be easier and familiar (Mohan, Scholl & Gold,
2015).
 Simulation should use a standard protocol and format based on the real life hospital
case study. Real life conditions like entry of laboratory tests, X-ray report and clinical
notes should be incorporated in the simulation. Additionally, it should mimic the
diagnostic reasoning of real life (Ben-Assuli et al., 2015).
 Simulation have to address the routine hospital phenomenon with regards to time
based sequence of data and clinical settings. Simulation should start with the most
basic and simplest scenario and gradually moving to the more complex scenario, so
that learners can have adequate time to adapt to the simulation. The time duration of

2SIMULATION TECHNIQUES ON ELECTRONIC HEALTH RECORDS
the simulation should be based on the real life situation (Mohan, Scholl & Gold,
2015).
 Simulation scenarios or protocols should be developed by inter-professional team
including expert every respective area (Gold et al., 2015).

3SIMULATION TECHNIQUES ON ELECTRONIC HEALTH RECORDS
References
Ben-Assuli, O., Sagi, D., Leshno, M., Ironi, A., & Ziv, A. (2015). Improving diagnostic
accuracy using EHR in emergency departments: A simulation-based study. Journal of
biomedical informatics, 55, 31-40.
Gold, J. A., Tutsch, A. S., Gorsuch, A., & Mohan, V. (2015). Integrating the electronic health
record into high-fidelity interprofessional intensive care unit simulations. Journal of
interprofessional care, 29(6), 562-563.
Mohan, V., Scholl, G., & Gold, J. A. (2015). Intelligent simulation model to facilitate EHR
training. In AMIA Annual Symposium Proceedings (Vol. 2015, p. 925). American
Medical Informatics Association.
Stephenson, L. S., Gorsuch, A., Hersh, W. R., Mohan, V., & Gold, J. A. (2014). Participation
in EHR based simulation improves recognition of patient safety issues. BMC medical
education, 14(1), 224.