Proficiency in Computer Interpretation of the ECGCIERANCT07595601
Computer Interpretation of the ECG Raising Awareness CIERA Trial
A study testing Flyer, face-to-face lecture and Online lecture in people with Proficiency in Computer Interpretation of the ECG, run by University of Jordan at 1 site in Jordan.
Trial summary
Background: Practice guidelines require emergency and critical care nurses (ECC) to be skillful in ECG and cardiac monitoring. Evidence suggests that nurses' proficiency is still inadequate with this regard. Computer interpretation of the ECG (CIE) is accurate and improves clinicians' accuracy in ECG interpretation. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Proficiency in Computer Interpretation of the ECG
- What is being tested?
- Flyer, face-to-face lecture and Online lecture
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 268 participants
- Where
- 1 siteJordan
- Study dates
- 1 Feb 2025to 31 Dec 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Who may be able to join
- Every nurse working in the emergency department and critical care units of the participating hospitals
Who cannot join
- None
Trial locations and contacts
1 site in 1 country.
About this study
Official title: The Effect of Three Educational Interventions on Emergency and Critical Nurses Proficiency in Computer Interpretation of the ECG: Results of the CIERA Trial
Background: Practice guidelines require emergency and critical care nurses (ECC) to be skillful in ECG and cardiac monitoring. Evidence suggests that nurses' proficiency is still inadequate with this regard. Computer interpretation of the ECG (CIE) is accurate and improves clinicians' accuracy in ECG interpretation. Unfortunately, nurses are not taught or trained to use this technology. Through this study the investigators aim to evaluate the effectiveness of three educational interventions to improve ECC nurses' proficiency in CIE.
Methods. The investigators applied a randomized mixed, crossover and parallel, design. Linear mixed model analysis was used to examine differences in CIE test score among groups and across time. There were three interventional groups (G0, no intervention then flyer; G1, face-to-face then online; and G2, online then face-to-face) with three points of time measurement (T0, baselines; T1, after first intervention, and T2 after second intervention).
Read the detailed description
Nurses working in the emergency department and critical care units spend a great deal of their time reading or recording ECGs. Practice guidelines require nurses working in units where cardiac monitoring is essential to be skillful in electrocardiography and cardiac monitoring. However, evidence suggests that nurses are still far from achieving this goal. In a study conducted in 65 cardiac care units from three different countries, nurses' (n, 3013) mean total score on an online ECG test was below 50%. However, nurses' mean total score significantly improved after receiving an online ECG monitoring education program. In another study published recently, emergency department and critical care nurses' (n, 210) mean total score in an ECG proficiency test was 18.1 out of 34 with only 61.9% of nurses scoring equal to or higher than 50% of the maximum score. Inadequate nurses' performance on ECG interpretation and cardiac monitoring skills can delay or even prevent lifesaving treatment.
One way of improving emergency and critical care nurses' (ECC) ECG interpretation accuracy is through the utilization of the computer interpretation of the ECG (CIE). This tool is incredibly accurate for certain interpretation algorithms to an extent comparable to a cardiologist, which is considered the gold standard for ECG interpretation. The CIE overall accuracy is estimated to be 90 to 93%. CIE combined with an "over-read" by a well-trained interpreter represents the most accurate form currently available for ECG interpretation. Existing evidence supports CIE ability to improve health care professionals' interpretation accuracy. In a recent study, CIE improved nurses' interpretation accuracy by 16.2%, improved cardiology fellows accuracy by 10.9% , resident physicians by 14.4%, and medical students by 19.9%. In the same study, CIE increased interpretation confidence by 0.06 on a scale from 0 to 1 for all study participants.
In addition to accuracy and improving clinicians' interpretation, especially for less experienced readers, CIE has several other advantages. CIE is especially useful when access to an interpretation expert is not possible; it minimizes expenses; does not fatigue; does not become distracted by outside pressure; objective; not affected by intra or inter-observer variability; decreases interpretation time, on average, by 52 seconds and by 24-28% for the experience reader; makes interpretation easier because it requires no deep knowledge; can take into account age, gender, race, and medication therapy; capable of doing automated serial ECG comparisons; capable of applying multiple and complex criteria, for example in diagnosing left ventricular hypertrophy, that would be difficult or impossible to apply otherwise; leads to faster diagnoses and earlier treatment; can unify diagnostic statements terminology through the following of the terminology adopted by practice guidelines. Such unification of terminology in electrocardiography would facilitate better patient care and unify teaching curriculum all over the world. CIE also continues to improve over time especially with AI evolving technology.
CIE has also several limitations. CIE is generally inaccurate in diagnosing arrhythmia, conduction disturbances, and pace maker rhythms. It is also inaccurate in diagnosing ischemia and myocardial infarction. It is inaccurate in measuring the QT interval, diagnosing long QT interval, and measuring QRS duration. It is inaccurate in diagnosing atrial fibrillation. It misdiagnoses atrial fibrillation and atrial flutter. It does not identify left and right arm lead reversal. The wide variability among different interpretation software with regard to accuracy and employed measurement criteria is another major limitation. However, even with these limitations, the CIE is still considered overall to be accurate.
Nevertheless, despite its great usefulness and potential to advance nursing practice and patient's care, unfortunately nurses are not taught or trained to use this technology. Formal undergraduate, graduate, and clinical education and textbooks do not talk about CIE. Even in research studies evaluating nurses' knowledge and proficiency in electrocardiography, researchers do not include testing items concerning CIE. As far as the investigators know, there is no previous study that has ever specifically evaluated nurses' knowledge in CIE.
The investigators aim from this project which we call "Computer Interpretation of the ECG Raising Awareness CIERA" to raise awareness among nurse practitioners, educators, and managers about the utilization of this technology. Specifically, the investigators aim to introduce three educational interventions (face-to-face, online, and flyer) and assess their effectiveness in improving ECC nurses' proficiency in computer interpretation of the ECG.
The investigators followed the "CONSORT 2010 statement: extension to randomized crossover trials" guidelines in reporting the findings of this trial.
- Being tested
- Flyer, face-to-face lecture, Online lecture
- Keywords
- Electrocardiography, computer interpretation, ECG, emergency and critical care, interpretation software, algorithm, nurse
- Medical subject headings
- Emergencies
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
FlyerOther
the flyer was a small, palm-sized, crafted from fine-quality material, thoughtfully designed to be colorful, visually inviting, and easy going, featuring carefully selected introductory images, ample whitespace, and minimal text to ensure clarity, quick engagement, and polished first impression.
face-to-face lectureOther
the face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The face-to-face lecture time was totally 45 minutes
Online lectureOther
The online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The online total lecture time was 25 minutes.
| Study group | Role | What they receive |
|---|---|---|
| no intervention then a flyer | Experimental | the flyer was a small, palm-sized, crafted from fine-quality material, thoughtfully designed to be colorful, visually inviting, and easy going, featuring carefully selected introductory images, ample whitespace, and minimal text to ensure clarity, quick engagement, and polished first impression. Receives: Other: Flyer |
| Face-to-face then online lectures | Experimental | the face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The face-to-face lecture time was totally 45 minutes. The online total lecture time was 25 minutes. Receives: Other: face-to-face lecture; Other: Online lecture |
| Online then face-to-face lectures | Experimental | the face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The face-to-face lecture time was totally 45 minutes. The online total lecture time was 25 minutes. Receives: Other: face-to-face lecture; Other: Online lecture |
What is being measured
The primary outcome is the main question the study is designed to answer.
Emergency and Critical Care Nurses Proficiency in Computer Interpretation of the ECG
Emergency and Critical Care Nurses scores on the "Computer Interpretation of the ECG" test score. The test is scored out of 28 (range 0 to 28), with higher scores indicating greater proficiency. The test scale name is "Computer Interpretation of the ECG" test scale
Measured: From enrollment to the end of treatment at 5 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 May 2026
- Study start1 Feb 2025
- Primary completion31 Dec 2025
- Study completion31 Dec 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Proficiency in Computer Interpretation of the ECGStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Crossover
- Model description
- This is a randomized mixed (hybrid) crossover and parallel (delayed intervention) design. Participating ECC nurses were randomly assigned to 3 groups (G0, G1, and G2), Figure 1. We employed a crossover comparison design of face-to-face and online educational interventions for groups G1 and G2, and a parallel delayed flyer educational intervention for group G0. Specifically, G1 received face-to-face then online educational interventions. G2 received online then face-to-face educational interventions. G0 received no intervention then a flyer.
- Masking
- None (open label)
- Enrolment
- 268 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Jordan
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Amer Ali Hasanien, University of Jordan
- Investigators
- Amer M Hasanien, PhD, Principal investigator, University of Jordan
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07595601
- Sponsor's protocol ID
- 2289\2024\19
- Other IDs
- 2289\2024\19
- Acronym
- CIERA
- Status last verified
- May 2026
- First submitted
- 8 May 2026
- Last updated
- 19 May 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: all, except identifying information. Based on reasonable request.
Study at a glance
From the registry record, last updated by the sponsor on 19 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effect of Three Educational Interventions on Emergency and Critical Nurses Proficiency in Computer Interpretation of the ECG: Results of the CIERA Trial
- ClinicalTrials.gov ID
- NCT07595601
- Acronym / sponsor ID
- CIERA / 2289\2024\19
- Keywords
- Electrocardiography, computer interpretation, ECG, emergency and critical care, interpretation software, algorithm, nurse
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 268 participants (actual)
- Lead sponsor
- University of JordanUniversity, hospital or other
- Study start
- 1 Feb 2025 (actual)
- Primary completion
- 31 Dec 2025 (actual)
- Study completion
- 31 Dec 2025 (actual)
- First posted
- 19 May 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Background: Practice guidelines require emergency and critical care nurses (ECC) to be skillful in ECG and cardiac monitoring. Evidence suggests that nurses' proficiency is still inadequate with this regard. Computer interpretation of the ECG (CIE) is accurate and improves clinicians' accuracy in ECG interpretation. Unfortunately, nurses are not taught or trained to use this technology. Through this study the investigators aim to evaluate the effectiveness of three educational interventions to improve ECC nurses' proficiency in CIE.
Methods. The investigators applied a randomized mixed, crossover and parallel, design. Linear mixed model analysis was used to examine differences in CIE test score among groups and across time. There were three interventional groups (G0, no intervention then flyer; G1, face-to-face then online; and G2, online then face-to-face) with three points of time measurement (T0, baselines; T1, after first intervention, and T2 after second intervention).
Detailed description
Nurses working in the emergency department and critical care units spend a great deal of their time reading or recording ECGs. Practice guidelines require nurses working in units where cardiac monitoring is essential to be skillful in electrocardiography and cardiac monitoring. However, evidence suggests that nurses are still far from achieving this goal. In a study conducted in 65 cardiac care units from three different countries, nurses' (n, 3013) mean total score on an online ECG test was below 50%. However, nurses' mean total score significantly improved after receiving an online ECG monitoring education program. In another study published recently, emergency department and critical care nurses' (n, 210) mean total score in an ECG proficiency test was 18.1 out of 34 with only 61.9% of nurses scoring equal to or higher than 50% of the maximum score. Inadequate nurses' performance on ECG interpretation and cardiac monitoring skills can delay or even prevent lifesaving treatment.
One way of improving emergency and critical care nurses' (ECC) ECG interpretation accuracy is through the utilization of the computer interpretation of the ECG (CIE). This tool is incredibly accurate for certain interpretation algorithms to an extent comparable to a cardiologist, which is considered the gold standard for ECG interpretation. The CIE overall accuracy is estimated to be 90 to 93%. CIE combined with an "over-read" by a well-trained interpreter represents the most accurate form currently available for ECG interpretation. Existing evidence supports CIE ability to improve health care professionals' interpretation accuracy. In a recent study, CIE improved nurses' interpretation accuracy by 16.2%, improved cardiology fellows accuracy by 10.9% , resident physicians by 14.4%, and medical students by 19.9%. In the same study, CIE increased interpretation confidence by 0.06 on a scale from 0 to 1 for all study participants.
In addition to accuracy and improving clinicians' interpretation, especially for less experienced readers, CIE has several other advantages. CIE is especially useful when access to an interpretation expert is not possible; it minimizes expenses; does not fatigue; does not become distracted by outside pressure; objective; not affected by intra or inter-observer variability; decreases interpretation time, on average, by 52 seconds and by 24-28% for the experience reader; makes interpretation easier because it requires no deep knowledge; can take into account age, gender, race, and medication therapy; capable of doing automated serial ECG comparisons; capable of applying multiple and complex criteria, for example in diagnosing left ventricular hypertrophy, that would be difficult or impossible to apply otherwise; leads to faster diagnoses and earlier treatment; can unify diagnostic statements terminology through the following of the terminology adopted by practice guidelines. Such unification of terminology in electrocardiography would facilitate better patient care and unify teaching curriculum all over the world. CIE also continues to improve over time especially with AI evolving technology.
CIE has also several limitations. CIE is generally inaccurate in diagnosing arrhythmia, conduction disturbances, and pace maker rhythms. It is also inaccurate in diagnosing ischemia and myocardial infarction. It is inaccurate in measuring the QT interval, diagnosing long QT interval, and measuring QRS duration. It is inaccurate in diagnosing atrial fibrillation. It misdiagnoses atrial fibrillation and atrial flutter. It does not identify left and right arm lead reversal. The wide variability among different interpretation software with regard to accuracy and employed measurement criteria is another major limitation. However, even with these limitations, the CIE is still considered overall to be accurate.
Nevertheless, despite its great usefulness and potential to advance nursing practice and patient's care, unfortunately nurses are not taught or trained to use this technology. Formal undergraduate, graduate, and clinical education and textbooks do not talk about CIE. Even in research studies evaluating nurses' knowledge and proficiency in electrocardiography, researchers do not include testing items concerning CIE. As far as the investigators know, there is no previous study that has ever specifically evaluated nurses' knowledge in CIE.
The investigators aim from this project which we call "Computer Interpretation of the ECG Raising Awareness CIERA" to raise awareness among nurse practitioners, educators, and managers about the utilization of this technology. Specifically, the investigators aim to introduce three educational interventions (face-to-face, online, and flyer) and assess their effectiveness in improving ECC nurses' proficiency in computer interpretation of the ECG.
The investigators followed the "CONSORT 2010 statement: extension to randomized crossover trials" guidelines in reporting the findings of this trial.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Number of arms
- 3
- Model description
- This is a randomized mixed (hybrid) crossover and parallel (delayed intervention) design. Participating ECC nurses were randomly assigned to 3 groups (G0, G1, and G2), Figure 1. We employed a crossover comparison design of face-to-face and online educational interventions for groups G1 and G2, and a parallel delayed flyer educational intervention for group G0. Specifically, G1 received face-to-face then online educational interventions. G2 received online then face-to-face educational interventions. G0 received no intervention then a flyer.
| Arm | Type | Receives |
|---|---|---|
| no intervention then a flyer | Experimental | Other: Flyerthe flyer was a small, palm-sized, crafted from fine-quality material, thoughtfully designed to be colorful, visually inviting, and easy going, featuring carefully selected introductory images, ample whitespace, and minimal text to ensure clarity, quick engagement, and polished first impression. |
| Face-to-face then online lectures | Experimental | Other: face-to-face lecture, Other: Online lecturethe face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The face-to-face lecture time was totally 45 minutes. The online total lecture time was 25 minutes. |
| Online then face-to-face lectures | Experimental | Other: face-to-face lecture, Other: Online lecturethe face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The face-to-face lecture time was totally 45 minutes. The online total lecture time was 25 minutes. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- Every nurse working in the emergency department and critical care units of the participating hospitals
Key exclusion criteria (1 listed)
- None
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Flyerthe flyer was a small, palm-sized, crafted from fine-quality material, thoughtfully designed to be colorful, visually inviting, and easy going, featuring carefully selected introductory images, ample whitespace, and minimal text to ensure clarity, quick engagement, and polished first impression. | Other | no intervention then a flyer |
| face-to-face lecturethe face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The face-to-face lecture time was totally 45 minutes | Other | Face-to-face then online lectures, Online then face-to-face lectures |
| Online lectureThe online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The online total lecture time was 25 minutes. | Other | Face-to-face then online lectures, Online then face-to-face lectures |
Primary outcome
Emergency and Critical Care Nurses Proficiency in Computer Interpretation of the ECG
Time frame: From enrollment to the end of treatment at 5 months
Emergency and Critical Care Nurses scores on the "Computer Interpretation of the ECG" test score. The test is scored out of 28 (range 0 to 28), with higher scores indicating greater proficiency. The test scale name is "Computer Interpretation of the ECG" test scale
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 May 2026.
- Individual participant dataSharing planned: Yes. all, except identifying information. Based on reasonable request.
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Amer M Hasanien, PhD principal investigator
University of Jordan
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Flyer, face-to-face lecture and Online lecture in people with Proficiency in Computer Interpretation of the ECG, run by University of Jordan at 1 site in Jordan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 19 May 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Jordan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Emergency and Critical Care Nurses Proficiency in Computer Interpretation of the ECG (time frame: From enrollment to the end of treatment at 5 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 19 May 2026.