Healthc Inform Res Search

CLOSE


Healthc Inform Res > Volume 28(4); 2022 > Article
Hong, Cho, Park, Lee, Lee, and Choi: Simulation Education Incorporating Academic Electronic Medical Records for Undergraduate Nursing Students: A Pilot Study

Abstract

Objectives

Academic electronic medical records (AEMRs) can be utilized for a variety of educational programs that can enhance nursing students’ nursing informatics and clinical reasoning competencies. This study aimed to identify the applicability and effectiveness of Simulation Education Incorporating AEMRs.

Methods

We developed simulation education scenarios incorporating AEMRs and evaluated them with 76 third- and fourth-year nursing students from five nursing schools using a mixed-methods design. We incorporated three simulation case scenarios involving preeclampsia, diabetes mellitus, and myocardial infarction into the AEMRs. After the simulation education, participants’ feedback on the usability of the AEMR system and their self-efficacy for AEMR utilization were collected via self-reported surveys. Subsequently, the simulation education incorporating AEMRs was evaluated through a focus group interview. The survey data were examined using descriptive statistics, and thematic analysis was done for the focus group interview data.

Results

The average mean scores for the AEMR system’s usability and participants’ self-efficacy for AEMR utilization were 5.36 of 7 and 3.96 of 5, respectively. According to the focus group interviews, the participants were satisfied with the Simulation Education Incorporating AEMRs and recognized their confidence in AEMR utilization. In addition, participants addressed challenges to Simulation Education Incorporating AEMRs, including the need for pre-education and AEMR utilization difficulties.

Conclusions

Nursing students were satisfied with and recognized the value of Simulation Education Incorporating AEMRs. Although the actual application of simulation education incorporating AEMRs remains challenging, further research can help develop and implement this approach for nursing students.

I. Introduction

Electronic medical records (EMRs) are essential elements of clinical information systems that share patient information in clinical settings [1]. In early 2000s, the Institute of Medicine of the United States emphasized that informatics abilities, including EMR utilization skills, were essential for health professionals [2]. Similarly, in 2021, the American Association of Colleges of Nursing proposed that nursing informatics competencies be included in nursing curricula for students to learn how to use EMRs [3]. To provide safe and effective nursing care, nurses are expected to utilize healthcare informatics and technologies, and new nursing graduates, nursing students, and nurse educators acknowledge the importance of EMR training [3,4]. A study reported that repeated EMR education and exposure enabled nursing students to feel confident using EMRs [5]. The educational exposure to informatics supported by academic electronic medical records (AEMRs) increased nursing students’ clinical practicum experience and clinical nursing awareness [6]. Despite the increasing demand for EMR instruction in nursing education, EMR-based educational programs remain limited [7,8]. In the classroom and during the clinical practicum, nursing students have limited opportunities to use EMRs [9], which reduces their self-efficacy for EMR utilization and makes it difficult for them to acquire EMR skills even after they become nurses [10,11].
Compared to conventional simulation education, simulation education incorporating AEMRs provides more training opportunities for nursing students to understand patients’ data in a structured context and judge their condition from the AEMR. For instance, in conventional simulation education, or problem-based learning, mainly paper-based medical records are provided to nursing students [12]. Providing patient data on paper differs from the reality and complexity of EMR in a clinical setting. Simulation education incorporating AEMRs can provide training opportunities for nursing students to choose essential data for the nursing process from the complex EMR environment and improve their integrated clinical reasoning competencies [13].
Therefore, this study aimed to identify the applicability and effectiveness of a pilot simulation education program incorporating AEMRs for future nursing education development strategies. In simulation education, one of the most important factors is the fidelity of the environment in which the simulation is conducted [14]. In this study, AEMRs were used to increase the clinical realism of the simulation environment.

II. Methods

1. Study Design

This study employed a mixed-methods design, with a one-group posttest only design and focus group interviews.

2. Participants and Settings

Third- and fourth-year nursing students at five nursing schools in South Korea participated in this study. Participants engaged in simulation education incorporating AEMRs for 2 hours, including a prebriefing, simulation, and recording of the nursing process and activities, at their nursing school’s simulation center. To ensure that participants felt comfortable, our research team conducted the study at their affiliated institutions. This study was conducted while avoiding regular subject hours or clinical practicum periods to encourage voluntary participation in research without credits or grades being affected. No participants withdrew during the study, and all participants completed their surveys without any missing records.

3. Scenario Development and AEMR Preparation

Our research team developed three case scenarios for the simulation: (1) a pregnant woman with preeclampsia, (2) an older patient with diabetes mellitus, and (3) a postoperative myocardial infarction. The purpose of developing three scenarios with comparable levels of difficulty was to prevent participants from sharing information. These scenarios required students to acquire the necessary information via the AEMR and solve the patients’ problems during simulation education. For instance, a student assigned to the postoperative myocardial infarction scenario was expected to assess the patient’s physical status while also reviewing the patient’s pre/postoperative coagulation battery, radiologic examination, electrocardiogram, and activity records to resolve the patient’s chest pain and dyspnea. The case scenarios for the simulation education were developed by adapting patients’ EMR data and case reports.
After the initial development of the scenarios, our team requested a validity review of each scenario from four nursing experts, including nurses and nursing professors with more than 3 years of clinical experience. Based on their feedback, the scenarios were modified. For instance, one professor suggested simplifying physicians’ prescription orders for educational purposes as nursing students may be confused by complicated prescriptions, even though the use of realistic prescriptions can be beneficial. Moreover, the simulation environments and supplies were suitable for simulation education incorporating AEMRs. We used high-fidelity manikins and standardized patients to suit the chosen case scenarios and nursing school environments.
For the AEMR application, we used Edge&Next, a cloud-based EMR application originally developed for hospital settings (ezCaretech, Seoul, Korea). Permission was obtained from ezCaretech, and the staff worked with the research team to modify the EMR application for our study. As this commercial, cloud-based EMR application was developed for use in hospitals, our research team modified the system for academic purposes while consulting the developers of the application. For example, we used a pre-set list of nursing diagnoses within the AEMR application. We added content lists for steps of the nursing process, such as assessment, planning, and evaluation, to allow nursing students to document nursing processes conveniently.
We pre-entered patient data, such as diagnosis, surgery history, allergies, physician’s prescription, symptoms, vital signs, medications, preventive nursing activities for falling and pressure ulcer prevention, laboratory data, radiologic examination data, nursing process documentation, and physical assessment data into the AEMR corresponding to the simulation case scenarios. Each student used an individual identification code to access and record the AEMR based on the assigned scenario.

4. Intervention

The intervention was conducted between December 2020 and February 2021. The simulation education incorporating the AEMR was conducted according to the protocol displayed in Figure 1. Each session of the simulation education program incorporating AEMRs consisted of three groups, with each group comprising two or three nursing students.

1) Step 1. Prebriefing

After obtaining informed consent, we performed a prebriefing that provided the simulation context, environment, supplies, and AEMR content to the participants. In this study, the prebriefing took place in two parts. The first stage was related to the use of the AMER. The AEMR categories and details were thoroughly described for participants to use during and after the simulation education incorporating AEMRs. Following that, participants were assured that sufficient time (approximately 60 minutes) and practice opportunities, would be provided throughout this process. During the second stage, participants became familiar with the simulation environment, including nursing supplies and operating procedures for 10–15 minutes.

2) Step 2. Simulation

The participants were provided a paper with the patient’s information and a scenario case outside the simulation room and had the opportunity to look up the patient’s records on the AEMR (Figure 2).
Participants entered the simulation room and performed physical examinations, therapeutic communication, nursing interventions, and interacted with other healthcare providers to solve problems. For instance, students were able to communicate with the physician via telephone, and the instructor who acted as the physician in the simulation prescribed the necessary medication. Participants also solved the nursing problem by utilizing updated data from the AEMR. The simulation lasted a total of 20 minutes.

3) Step 3. Recording on the AEMR

After completing the simulation, the participants recorded the clinical data and nursing process into the AEMR using individually provided laptops. Participants were requested to document two or more nursing processes and also record the nursing activities, such as medication administration, patient education, emotional support, and prevention of pressure ulcers.

5. Measurement

The self-reported survey items were general characteristics (gender, age, satisfaction with the nursing major, last semester’s grade point average, experience with AEMRs, and needs for AEMR-based nursing education), the usability of the AEMR system, and self-efficacy of AEMR utilization. As there were no appropriate tools to measure usability and self-efficacy for AEMR utilization, the research team modified or developed the scales. Five nursing professors—three experts in nursing informatics and two experts in nursing simulation education—evaluated the content validity of the scales used in this study.
The usability scale that was initially developed for mobile AEMR applications contained 22 items rated on a 7-point Likert scale that assessed perceived usefulness, ease of use, and user satisfaction [15]. The authors of the original scale gave approval for its use and modification. Cronbach’s alpha for each domain was 0.95.
The self-efficacy for AEMR utilization scale evaluated how confident nursing students were to utilize the AEMR after completing the program. The research team developed 10 items with a 5-point Likert scale, based on the mobile learning efficacy tool [16] and nursing students’ computer utilization responses and attitudes [17]. Cronbach’s alpha for self-efficacy for AEMR utilization was 0.94.

6. Data Collection

The participants responded to a self-reported survey after completing the simulation program. Among the participants, 26 voluntarily agreed to take part in focus group interviews in a semi-structured format. These focus groups included four to six participants per group (Table 1) and each focus group interview lasted between 60 and 90 minutes.

7. Data Analysis

We used the descriptive statistics of frequencies, percentages, means, and standard deviations (SD) to analyze the participants’ general characteristics, the system’s usability, and the self-efficacy for AEMR utilization. The collected quantitative data were analyzed using SPSS version 26.0 (IBM Corp, Armonk, NY, USA). Thematic content analysis was conducted [18] for the interview content that was recorded and transcribed verbatim. We provided semantic codes corresponding to the relevant contents. After categories according to the relations among these codes were established, we were able to derive the key themes. Finally, we reviewed the relationships between each derived topic and the entire data set and generated accurate definitions through a cyclic process.

8. Ethical Considerations

To recruit participants, notices were posted on bulletin boards and a study presentation was held at five nursing schools. Researchers who had no connection with the students’ grades provided explanations and conducted the study. We did not provide additional benefits or grades as a reward for participation. All participants signed the written consent forms. After completing all procedures of simulation education incorporating AEMRs and evaluation, participants received a small gift as a token of appreciation. The Severance Hospital Institutional Review Board (No. Y-2020-0131) approved all study procedures.

III. Results

1. Demographic Characteristics

Most of the 76 participants were female (n = 68; 89.5%), in their fourth year (n = 59; 77.6%), satisfied with the nursing major (n = 63; 82.9%), and had a grade point average of 3.0 or higher (n = 71; 93.4%). Almost all students had no experience with AEMRs (n = 73; 96.1%), and agreed with the need for AEMR-based nursing education (98.7%) (Table 2).

2. Usability, Self-Efficacy, and Nursing Process

The mean usability score was 119.28 ± 26.36 out of 154 (Table 3). The average mean value of “perceived usefulness” (5.61 ± 1.32) was lower than that of the other two domains: “user satisfaction” (5.56 ± 1.20) and “perceived ease of use” (4.89 ± 1.51). In perceived usefulness, “I would find the AEMR system useful in my practicum” (5.83 ± 1.53) had the highest score. All user satisfaction scores were higher than 5 out of 7. The scores of the items “intended to use the AEMR in the future” (6.00 ± 1.36) and “would recommend using the AEMR system for other students” (6.00 ± 1.54) were high.
The average self-efficacy for AEMR utilization after the simulation education was 39.63 ± 7.60 out of 50 (Table 4). Four items received average scores of over 4 out of 5. In particular, the participants expected the AEMR to be helpful in their learning (4.30 ± 0.85).

3. Focus Group Interview Findings

Tables 5 and 6 presented the focus group interview results. The participants discussed the benefits and challenges of the simulation education incorporating AEMRs. The themes related to benefits included immersion in simulation education, training for prioritization and information structuring, and confidence in actual EMR use (Table 5).
The themes of challenges of the simulation education incorporating AEMRs were as follows: necessity of pre-education and time for familiarizing oneself with the AEMR, barriers to documenting a nursing process in the AEMR, and need for AEMR settings considering students’ level. Before becoming accustomed to the AEMR, the participants were uncomfortable and needed time to become immersed in the simulation education incorporating AEMRs. Participants stated that the simulation and AEMR educational content, including nursing process documentation and content difficulties, needed to be modified for nursing students (Table 6).

IV. Discussion

This study aimed to explore the applicability and effectiveness of simulation education incorporating AEMRs. Our research team expected that this simulation education incorporating AEMRs would enable nursing students to gain exposure to the problem-solving processes used by healthcare providers in clinical settings. Although the AEMR is not a novel concept, it is not widely used in nursing education in South Korea due to various factors, such as cost, personnel requirements, and time required for preparation and implementation. This study is meaningful as it recruited students from five nursing schools across the country to evaluate the advantages of using simulation education incorporating AEMRs with nursing students, as well as areas for improvement.
As the participants collected patient data through the AEMR system according to case scenarios, it was possible to obtain patient information, communicate with physicians and patients, and record the nursing process. This allowed students to experience realistic situations by immersing them in the simulation and to be an effective method of practice in a real-world setting as they expressed in focus group interviews. Increasing simulation education’s realism improves educational effectiveness [19,20]. Participants collected data that they considered necessary in the AEMR, allowing them to improve their clinical reasoning skills to analyze and synthesize patient data in a complex context [21,22].
Among the subgroups of AEMR usability, “perceived accessibility” had lower scores than “perceived usefulness” and “user satisfaction.” These findings corroborate those of a previous study in which the same measurements were used to evaluate mobile EMRs in clinical practicum [15]. Accordingly, participants stated that the AEMR increased educational effectiveness and satisfaction but was initially challenging to use. They found that using the AEMR was more complicated than they had anticipated, despite having the time and opportunity to practice prior to the simulation. Thus, simulation education incorporating AEMRs requires an adequate prebriefing or pre-education to acclimate students to the program. A prebriefing is critical for student engagement and self-confidence in simulation education [23,24]. We also discovered that when nursing students encountered difficulties with the overall simulation structure or environment, they focused on these issues rather than on the simulation education itself [24].
Following the completion of the program, we used a self-reported survey and focus group interviews to assess nursing students’ self-efficacy for AEMR utilization. Participants felt that simulation education incorporating AEMRs could benefit them and were confident in their ability to adapt. Related nursing informatics education is needed to provide nursing students with the knowledge and skills necessary to grasp the principles of AEMRs and usability methods (knowledge), and to practice becoming accustomed to the program (skill) with confidence (attitude) [25]. A case study in nursing pharmacology reported that AEMR improved students’ cognitive abilities to integrate AEMR data, medication data, and patient data [26]. Similarly, according to a previous scoping review, EMR training helped students develop positive attitudes toward and confidence in EMRs [27]. Healthcare providers need informatics education to assist them in resolving patient problems using clinical reasoning and health data. Undergraduate students require strategic approaches for the development of informatics competencies [3], as these cannot be acquired in a short time [28]. Thus, early and repeated practice and exposure can increase self-efficacy and, subsequently, enhance competencies of nursing informatics and clinical reasoning.
Participants stated some challenges to recording their nursing processes into the AEMR system. Although the AEMR system used in this study was modified to accommodate simulation education incorporating AEMRs, we identified that it was challenging for undergraduate students to record nursing processes. In particular, documenting nursing goals in the AEMR was not easy. During the focus group interviews, participants expressed their desire to record nursing processes in the AEMR with greater ease, for example, using free text in the AEMR. Thus, AEMRs should have the feature of recording nursing processes more conveniently, which is needed for educational purposes. Teaching nursing processes and effective recording methods have been emphasized recently in the literature. Similarly, as nursing records contain various free text fields [29], training for accurate and detailed EMR recordings is required.

1. Strengths and Limitations of the Study

The main strength of this study is that it provides evidence to promote simulation education incorporating AEMRs for undergraduate nursing students. It is pivotal to the expansion of simulation education utilizing EMRs to replicate real-world clinical situations [12]. Despite its strength, this study has some limitations. First, because it had a posttest-only, single-group design, our data support limited causal inferences. The interpretation should focus on the applicability and acceptability of simulation education incorporating AEMRs for third- and fourth-year nursing students who have participated in at least one semester of clinical practicum. Additionally, advanced educational programs utilizing AEMRs with various designs and larger sample sizes are also needed. For instance, interprofessional education can be conducted using AEMRs to foster interprofessional cooperation or communication skills.

2. Education and Research Implications

Based on the findings of this study, several implications for nursing education and research may be suggested. First, AEMRs should become an essential component of the curricula for nursing education, including health assessment, simulation, and clinical practicum through repeated use. This would help nursing students’ confidence and capacity to document the nursing process, use relevant information, and prioritize it for care planning. Second, the utilization of AEMRs will enhance the development of nursing students’ competencies in literacy and using health information to build clinical judgment and critical thinking. Third, to actively promote education and research that adopts AEMRs, developing a specific measurement that can evaluate the effectiveness of AEMR-related educational programs is crucial.

Acknowledgments

This work was supported by the Korean Society of Medical Informatics, and 2019 grant from the Yonsei University College of Nursing. Soomin Hong received a scholarship from the Brain Korea 21 FOUR Project funded by the National Research Foundation (NRF) of Korea, Yonsei University College of Nursing.

Notes

Conflict of Interest

Mona Choi is an editorial member of Healthcare Informatics Research; however, she did not involve in the peer reviewer selection, evaluation, and decision process of this article. Otherwise, no potential conflict of interest relevant to this article was reported.

Figure 1
Protocol of operating the simulation education incorporating academic electronic medical records (AEMRs).
hir-2022-28-4-376f1.jpg
Figure 2
Content of the academic electronic medical record (AEMR) system included in this study. (A) An example of the nursing process. (B) An example of test results.
hir-2022-28-4-376f2.jpg
Table 1
Semi-structured interview questions
Intro-question What was your most impressive experience of the simulation education incorporating AEMRs?
Main questions Could you tell me precisely why you participated in the simulation education incorporating AEMRs?
What was the most interesting aspect of the simulation education incorporating AEMRs?
When did you gain confidence after experiencing the simulation education incorporating AEMRs? Could you tell me about this confidence?
What was the most challenging experience during the simulation education incorporating AEMRs?
Could you tell me about specific structural or methodological difficulties during the simulation education incorporating AEMRs?
What would you suggest to improve the simulation education incorporating AEMRs?
Closing question Would you recommend the simulation education incorporating AEMRs to your friends? Why or why not?

AEMR: academic electronic medical record.

Table 2
Demographic characteristics of participants (n = 76)
Characteristic Value
Sex
 Female 68 (89.5)
 Male 8 (10.5)

Age (yr) 22.91 ± 1.83

Grade
 Third year 17 (22.4)
 Fourth year 59 (77.6)

Satisfaction with nursing major 4.04 ± 0.84
 Satisfied 63 (82.9)
 Moderate 7 (9.2)
 Dissatisfied 6 (7.9)

Last semester’s grade point average
 <2.0 2 (2.6)
 2.1–2.9 3 (4.0)
 3.0–3.9 38 (50.0)
 >4.0 33 (43.4)

Experience with AEMR
 Yes 3 (4.0)
 No 73 (96.0)

Needs of AEMR-based nursing education
 Agreed 75 (98.7)
 Disagreed 1 (1.3)

Values are presented as number (%) or mean ± standard deviation.

AEMR: academic electronic medical record.

Table 3
Usability of the AEMR system (n = 76)
Item Mean ± SD Average mean ± SD Range (min–max)
Perceived usefulness (sum) 28.05 ± 6.61 5.61 ± 1.32 5–35
1 Using the AEMR system in my practicum would enable me to accomplish tasks more quickly. 5.47 ± 1.28
2 Using the AEMR system would improve my practicum performance. 5.58 ± 1.35
3 Using the AEMR system in my job would increase my learning productivity. 5.70 ± 1.54
4 Using the AEMR system would make my tasks easier. 5.47 ± 1.48
5 I would find the AEMR system useful in my practicum. 5.83 ± 1.53

Perceived ease of use (sum) 24.47 ± 7.55 4.89 ± 1.51 5–35
1 Learning to operate the AEMR system was easy for me. 4.95 ± 1.56
2 I found it easy to get AEMR system to do what I want it to do. 4.86 ± 1.69
3 My interaction with the AEMR system was clear and understandable. 5.09 ± 1.66
4 It was easy for me to become skillful at using the AEMR system. 4.59 ± 1.74
5 I found the AEMR system easy to use. 4.99 ± 1.65

User satisfaction (sum) 66.75 ± 14.35 5.56 ± 1.20 18–84
1 I am satisfied with using the AEMR system. 5.38 ± 1.60
2 The AEMR system met my expectations. 5.53 ± 1.67
3 Using the AEMR system would enhance my effectiveness in the practicum. 5.62 ± 1.50
4 I am satisfied with the current quality of the AEMR system. 5.12 ± 1.52
5 I am satisfied with the operation method (e.g., patients’ assignment, webpage for documentation of the AEMR system. 5.34 ± 1.50
6 The screen composition of the AEMR system is appropriate. 5.32 ± 1.52
7 The application works reliably. 5.43 ± 1.52
8 The display color is appropriate. 6.00 ± 1.28
9 The amount of content on one screen is appropriate. 5.39 ± 1.47
10 The pictures/letters on the record screen are harmoniously arranged. 5.59 ± 1.48
11 I would intend to use the AEMR system in the future. 6.00 ± 1.36
12 I would recommend the use of the AEMR system to other students. 6.03 ± 1.54

Total 119.28 ± 26.36 5.36 ± 0.16 32–154

Using a 7-point Likert scale.

AEMR: academic electronic medical record, SD: standard deviation.

Table 4
Self-efficacy of AEMR utilization (n = 76)
Item Mean ± SD Average mean ± SD Range (min–max)
1 I believe that learning to use the AEMR will result in good results for myself. 4.01 ± 0.87 - -
2 I believe that I can understand the basic skills required to learn the AEMR well. 4.09 ± 0.85 - -
3 I expect that learning to use the AEMR will help me learn about nursing. 4.30 ± 0.85 - -
4 I believe that when learning to use the AEMR, we can solve problems well according to the scenario situation. 3.87 ± 0.91 - -
5 I am confident that I can use the AEMR well. 4.01 ± 1.01 - -
6 I am confident in checking the information in the AEMR and recording it accurately. 3.96 ± 0.93 - -
7 I am confident in essential AEMR operations. 3.70 ± 1.07 - -
8 I am confident that I can use various functions of the AEMR well. 3.82 ± 0.98 - -
9 I am confident that I can use any other AEMR well after being educated on how to use it. 3.92 ± 1.03 - -
10 I am confident that I will use the AEMR to improve the completeness of nursing records. 3.95 ± 1.03 - -
Total 39.63 ± 7.60 3.96 ± 0.76 24–50

Using a 5-point Likert scale.

AEMR: academic electronic medical record, SD: standard deviation.

Table 5
Benefits of the simulation education incorporating AEMR (n = 26)
Theme Sample quote
Immersion in the simulation education “I was amazed to realize that AEMR system was the same as in the hospital. Simulation education incorporating AEMRs created a more realistic setting. It would be fantastic if AEMRs could be used in nursing education more frequently.” (A-3)
“It wasn’t just giving information; I checked the patient’s condition and documented what I did, so I felt a little more like I ‘participated’ in the simulation.” (A-2)
“I felt like I was in a real hospital, so I could participate in the simulation more realistically.” (A-20).
Training to find and prioritize patients’ information “We can keep practicing finding relevant information rather than information from paper sources if we continue to use AEMRs for simulations or other nursing education.” (A-3)
“Because all of the patient’s information is in the AEMR, it can be difficult to distinguish between what is essential and what is important in simulation education using AEMRs. But as a nursing student, I am aware that I should overcome these difficulties and find prioritized information. I think that this education would help me ‘survive’ as a nurse in the future.” (A-6)
Confidence in EMR use in practice “I think that having experience with AEMRs would have helped me overcome the initial problems of using EMRs prior to the clinical practicum.” (A-1)
“The first time I tried to adapt, it was challenging, but once I was fully educated, it became easy to me. It’s fairly intuitive, so I don’t believe students will have a hard time using it.” (A-4)
“It was helpful for me, a nursing student, to practice nursing documentation in the AEMR system before I graduate.” (A-19)
“I feel confident using the EMR configuration in the upcoming simulation or clinical practicum.” (A-25)

AEMR: academic electronic medical record, EMR: electronic medical record.

Table 6
Challenges of the simulation education incorporating academic electronic medical records (n = 26)
Theme Sample quote
Necessity of pre-education and time for familiarizing oneself with the AEMR “I believe that sufficient prior explanation of how to use it is necessary. If the initial operating instructions are not thorough, I think it will be challenging to use.” (A-19)
“I’m hoping the category search is a little bit simpler. I took a long time looking for a menu because the AEMR system was unfamiliar.” (A-6)
“Before I started, I thought I was used to it, but when I did, I panicked and needed more time to get used to it. Initially, we need time to repeatedly simulate an AEMR.” (A-22)
Barriers to documenting a nursing process in the AEMR “I was troubled because I was unable to write down the specifics of the numerous interventions I wished to document for my patients. Rather than clicking, I wanted to write down the nursing process in free text.” (A-3)
“I wished that we could have freely entered text in the nursing process category of AEMR. It wasn’t enough to pick some options mostly by clicking on them.” (A-14)
Need for AEMR settings considering students’ level “I thought it would be nice to make the 5 ‘rights’ for medication easier to see all at once. I’m hoping it’s user-friendly considering our nursing knowledge and skill level.” (A-2)
“I think it would have been easier to understand if text prescriptions and drug prescriptions were tied up, but it was hard to connect the information because it was separate.” (A-11)
“Actually, since I’m not familiar with AEMRs, I believed it was a little challenging to understand the priorities and details of the patient.” (A-16)
“Given the students’ level of comprehension, I believe it would be advantageous to make the AEMR settings a little simpler than actual clinical settings. The complex parts of the AEMR system were similar to the real clinical settings, but they distracted me from focusing on solving the problem.” (A-15)

AEMR: academic electronic medical record.

References

1. Organisation for Economic Co-operation and Development. Strengthening health information infrastructure for health care quality governance: good practices, new opportunities and data privacy protection challenges. Paris, France: Organisation for Economic Co-operation and Development; 2013.
crossref
2. Institute of Medicine Health professions education: a bridge to quality. Washington (DC): National Academies Press; 2003.
crossref
3. American Association of Colleges of Nursing. The essentials: core competencies for professional nursing education [Internet]. Washington (DC): American Association of Colleges of Nursing; 2021 [cited at 2022 Oct 10]. Available from: https://nursing.byu.edu/Documents/academics/undergrad/EssentialAbilities-Document19.pdf
crossref
4. Forman TM, Armor DA, Miller AS. A review of clinical informatics competencies in nursing to inform best practices in education and nurse faculty development. Nurs Educ Perspect 2020 41(1):E3-7. https://doi.org/10.1097/01.nep.0000000000000588
crossref pmid
5. Jones S, Donelle L. Assessment of electronic health record usability with undergraduate nursing students. Int J Nurs Educ Scholarsh 2011 8:24. https://doi.org/10.2202/1548-923x.2123
crossref pmid
6. Choi M, Lee HS, Park JH. Usability of academic electronic medical record application for nursing students’ clinical practicum. Healthc Inform Res 2015 21(3):191-5. https://doi.org/10.4258/hir.2015.21.3.191
crossref pmid pmc
7. Herbert VM, Connors H. Integrating an academic electronic health record: challenges and success strategies. Comput Inform Nurs 2016 34(8):345-54. https://doi.org/10.1097/cin.0000000000000264
crossref pmid
8. Choi M, Park JH, Lee HS. Assessment of the need to integrate academic electronic medical records into the undergraduate clinical practicum: a focus group interview. Comput Inform Nurs 2016 34(6):259-65. https://doi.org/10.1097/cin.0000000000000244
crossref pmid
9. Mollart L, Newell R, Geale SK, Noble D, Norton C, O’Brien AP. Introduction of patient electronic medical records (EMR) into undergraduate nursing education: an integrated literature review. Nurse Educ Today 2020 94:104517. https://doi.org/10.1016/j.nedt.2020.104517
crossref pmid
10. Abrahamson K, Anderson JG, Borycki EM, Kushniruk AW, Malovec S, Espejo A, et al. The impact of university provided nurse electronic medical record training on health care organizations: an exploratory simulation approach. Stud Health Technol Inform 2015 208:1-6. https://doi.org/10.3233/978-1-61499-488-6-1
crossref pmid
11. Jung SY, Hwang H, Lee K, Lee D, Yoo S, Lim K, et al. User perspectives on barriers and facilitators to the implementation of electronic health records in behavioral hospitals: qualitative study. JMIR Form Res 2021 5(4):e18764. https://doi.org/10.2196/18764
crossref pmid pmc
12. Chung J, Cho I. The need for academic electronic health record systems in nurse education. Nurse Educ Today 2017 54:83-8. https://doi.org/10.1016/j.nedt.2017.04.018
crossref pmid
13. Elliott K, Marks-Maran D, Bach R. Teaching student nurses how to use electronic patient records through simulation: a case study. Nurse Educ Pract 2018 30:7-12. https://doi.org/10.1016/j.nepr.2018.02.003
crossref pmid
14. Sittner BJ, Aebersold ML, Paige JB, Graham LL, Schram AP, Decker SI, et al. INACSL standards of best practice for simulation: past, present, and future. Nurs Educ Perspect 2015 36(5):294-8. https://doi.org/10.5480/15-1670
crossref pmid
15. Choi M, Lee H, Park JH. Effects of using mobile device-based academic electronic medical records for clinical practicum by undergraduate nursing students: a quasi-experimental study. Nurse Educ Today 2018 61:112-9. https://doi.org/10.1016/j.nedt.2017.11.018
crossref pmid
16. Whang JH, Kim DH. An empirical study on the critical factors for successful m-learning implementation. J Inf Technol Appl Manag 2005;12(3):57-80.
crossref
17. Vijayalakshmi P, Math SB. Response and attitudes of undergraduate nursing students towards computers in health care. Can J Nurs Inf 2013;8(3):1-8.
crossref
18. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006 3(2):77-101. https://doi.org/10.1191/1478088706qp063oa
crossref
19. Jang A, Park H. Clinical judgment model-based nursing simulation scenario for patients with upper gastro-intestinal bleeding: a mixed methods study. PLoS One 2021 16(5):e0251029. https://doi.org/10.1371/journal.pone.0251029
crossref pmid pmc
20. Li J, Li X, Gu L, Zhang R, Zhao R, Cai Q, et al. Effects of simulation-based deliberate practice on nursing students’ communication, empathy, and self-efficacy. J Nurs Educ 2019 58(12):681-9. https://doi.org/10.3928/01484834-20191120-02
crossref pmid
21. Yang F, Wang Y, Yang C, Zhou MH, Shu J, Fu B, et al. Improving clinical judgment by simulation: a randomized trial and validation of the Lasater clinical judgment rubric in Chinese. BMC Med Educ 2019 19(1):20. https://doi.org/10.1186/s12909-019-1454-9
crossref pmid pmc
22. Kuiper R, O’Donnell SM, Pesut DJ, Turrise SL. 2017 The essentials of clinical reasoning for nurses: using the outcome-present state test model for reflective practice. Indianapolis (IN): Sigma Theta Tau International; 2017.
crossref
23. Page-Cutrara K. Use of prebriefing in nursing simulation: a literature review. J Nurs Educ 2014 53(3):136-41. https://doi.org/10.3928/01484834-20140211-07
crossref pmid
24. Dileone C, Chyun D, Diaz DA, Maruca AT. An examination of simulation prebriefing in nursing education: an integrative review. Nurs Educ Perspect 2020 41(6):345-8. https://doi.org/10.1097/01.nep.0000000000000689
crossref pmid
25. Kleib M, Chauvette A, Furlong K, Nagle L, Slater L, Mc-Closkey R. Approaches for defining and assessing nursing informatics competencies: a scoping review. JBI Evid Synth 2021 19(4):794-841. https://doi.org/10.11124/jbies-20-00100
crossref pmid
26. Vana KD, Silva GE. Evaluating the use of a simulated electronic health record and online drug reference in a case study to enhance nursing students’ understanding of pharmacologic concepts and resources. Nurse Educ 2014 39(4):160-5. https://doi.org/10.1097/nne.0000000000000046
crossref pmid
27. Samadbeik M, Fatehi F, Braunstein M, Barry B, Saremian M, Kalhor F, et al. Education and training on electronic medical records (EMRs) for health care professionals and students: a scoping review. Int J Med Inform 2020 142:104238. https://doi.org/10.1016/j.ijmedinf.2020.104238
crossref pmid
28. Behrends M, Paulmann V, Koop C, Foadi N, Mikuteit M, Steffens S. Interdisciplinary teaching of digital competencies for undergraduate medical students: experiences of a teaching project by medical informatics and medicine. Stud Health Technol Inform 2021 281:891-5. https://doi.org/10.3233/shti210307
crossref pmid
29. Udelsman B, Chien I, Ouchi K, Brizzi K, Tulsky JA, Lindvall C. Needle in a haystack: natural language processing to identify serious illness. J Palliat Med 2019 22(2):179-82. https://doi.org/10.1089/jpm.2018.0294
crossref pmid pmc


ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
1618 Kyungheegung Achim Bldg 3, 34, Sajik-ro 8-gil, Jongno-gu, Seoul 03174, Korea
Tel: +82-2-733-7637, +82-2-734-7637    E-mail: hir@kosmi.org                

Copyright © 2024 by Korean Society of Medical Informatics.

Developed in M2community

Close layer
prev next