WorkflowNCT04845698
i-Dashboard for Multi-disciplinary Rounds in SICU
A study testing i-Dashboard in people with Workflow and Communication, run by National Cheng-Kung University Hospital at 1 site in Taiwan.
Trial summary
Background: Information overload is a common problem in intensive care units. A display tool that facilitates retrieval of crucial clinical information from electronic medical records has excellent potential to attenuate information overload and benefit workflow. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Workflow, Communication, Quality of Health Care
- What is being tested?
- i-Dashboard
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 144 participants
- Where
- 1 siteTaiwan
- Study dates
- 26 Apr 2021to 18 Jul 2021
- 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
- Patients admitted into the two surgical intensive care units for more than 7 days
Who cannot join
- None
Trial locations and contacts
1 site in 1 country.
Taiwan1 site
National Cheng Kung University Hospital
Tainan, Taiwan, R.o.c, 704
About this study
Official title: Application of i-Dashboard for Multi-disciplinary Rounds in Surgical Intensive Care Units
Background: Information overload is a common problem in intensive care units. A display tool that facilitates retrieval of crucial clinical information from electronic medical records has excellent potential to attenuate information overload and benefit workflow.
Study hypothesis: In this project, we aimed to evaluate the efficacy and clinical satisfaction of a team-designed, patient-centered electronic medical record viewer, i-Dashboard, to facilitate multi-disciplinary rounds in our surgical intensive care units.
Read the detailed description
Background: More than 5.7 million people are admitted into intensive Care Units (ICUs) in the United States each year. The ICU level of care that helps people with a life-threatening illness is provided by a multi-disciplinary team of specially-trained healthcare providers. These patients require more frequent assessment compared to those who do not need critical care. Essential parameters in the ICU settings include, but not limit to, vital sign monitoring, laboratory data, ventilator settings and vasoactive drugs. Therefore, information overload is a common problem in ICUs. Caring for ICU patients generates approximately 1200 data points per patient per day. The use of electronic medical records (EMRs) increases the data accuracy compared to handwritten notes. An effective management strategy for patient information in ICUs may be needed for clinicians to avoid being overwhelmed by data overload.
Data overload in ICUs may result in communication failures, possibly in association with worse patient outcomes. A delay between condition onsets and the beginning of therapeutic interventions may dramatically impact the prognosis of patients with sepsis or cardiopulmonary emergencies. Although EMR use has been increasingly adopted worldwide, whether EMRs are being used effectively and efficiently to enhance clinical workflow in ICUs remains a question. A large cross-sectional study of primary care practitioners have investigated the predictors of missed test results in the setting of EMR alerts. Of the 2590 responders, 86.9% perceived the quantity of alerts they received to be excessive, 69.6% reported receiving more alerts than they could effectively manage (a marker of information overload), 55.6% reported that the current EMR notification system made it possible for practitioners to miss test results, and 29.8% reported having personally missed test results that led to care delays. These results suggested that primary care practitioners using comprehensive EMRs are vulnerable to information overload, leading them to miss important information. To address the nature of the high volume of metrics monitored and the urgent responses to patients' condition changes in ICUs, a display tool that facilitates retrieval of crucial clinical information has excellent potential to attenuate information overload and benefit workflow.
Visualization transforms data into visual representations, making the cognitive processing of data more effective and efficient. The use of visualization techniques in the clinical setting provides an overview to improve display and recognition of patients' conditions, potentially reducing cognitive overload among specially-trained healthcare providers. A dashboard is a data-driven clinical decision support tool capable of retrieving data from multiple databases and providing a quick representation of key metrics for each patient. The utility of a dashboard comes from its ability to provide a concise overview of crucial information. In addition to being designed based on user experiences, a dashboard for clinical use should be designed based on several proposed principles, including 1) one view should contain single patient data, 2) data should be summarized or titled for overview and details should be given on-demand, 3) data should be displayed in time-series, 4) data should be categorized by primary type, and 5) more data should be displayed at the same time. While being applied to the ICU settings, a dashboard may allow healthcare providers in a multi-disciplinary team to identify patients' active problems that need prompt interventions.
Hypothesis and Specific Aims: The implementation of multi-disciplinary rounds in ICUs exhibits a positive effect on both patient care outcome and staff satisfaction with team dynamics. In Taiwan, multi-disciplinary ICU rounds have been an important item to be evaluated in hospital accreditation. The study participants include ICU healthcare providers, i.e. physicians, nurse practitioners, nurses, respiratory therapists, pharmacists and dietitians. In this project, we aimed to evaluate the efficacy and clinical satisfaction of a team-designed, patient-centered electronic medical record viewer, i-Dashboard, to facilitate multi-disciplinary rounds in our surgical intensive care units. To achieve these research goals the applicant proposed studies with the following specific aims:
- The use of i-Dashboard reduces time spent on pre-round data gathering.
- The use of i-Dashboard increases communication accuracy during multi-disciplinary ICU rounds, including vital signs, catheters, laboratory data, medications, input/output balance and warnings on redline values.
- The use of i-Dashboard enhances recommendations actively made by multi-disciplinary team members, including respiratory therapists, pharmacists and dietitians.
- The use of i-Dashboard enhances healthcare provider satisfaction, as evaluated by questionnaires modified from previous studies.
- Conditions
- Workflow, Communication, Quality of Health Care
- Being tested
- i-Dashboard
- Keywords
- Electronic Health Records, User-Computer Interface, Intensive Care Units, Patient Care Team, Teaching Rounds
- Medical subject headings
- Communication
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
i-DashboardDevice
i-Dashboard is a team-designed, patient-centered electronic medical record viewer, which retrieves data from multiple databases and provides a quick representation of essential metrics for each patient.
| Study group | Role | What they receive |
|---|---|---|
| With i-Dashboard | Experimental | Multi-disciplinary rounds are conducted with the assistance of i-Dashboard. Receives: Device: i-Dashboard |
| Without i-Dashboard | No intervention | Multi-disciplinary rounds are conducted without the assistance of i-Dashboard. The team members collect data using standard electronic medical records. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Time spent on pre-round data gathering (minutes)
Pre-round data gathering for multi-disciplinary rounds in ICUs is usually time-consuming. i-Dashboard, the team-designed display tool that facilitates retrieval of crucial clinical information from electronic medical records, is available on every computer screen in the ICU. We aim to evaluate whether i-Dashboard might help reduce time spent on pre-round data gathering for each patient evaluated during multi-disciplinary ICU rounds.
Measured: 3 hours
Communication accuracy during multi-disciplinary ICU rounds (number of data misrepresentation)
Communication during multi-disciplinary ICU rounds relies primarily on handwritten notes. Based on the literature review, data misrepresentation commonly occurs during ICU rounds, and thus communication accuracy is highly questionable. i-Dashboard, the team-designed display tool, is designed to post the information on a 55-inch screen. We aim to evaluate whether i-Dashboard might help improve communication accuracy during multi-disciplinary ICU rounds.
Measured: 3 hours
Secondary outcomes (2)
Enhancement of care quality and patient safety during multi-disciplinary ICU rounds (number of recommendations from multi-disciplinary team members)
Multi-disciplinary team members in ICU (i.e., respiratory therapists, pharmacists and dietitians) provide their recommendations based on patients' condition and their own knowledge and expertise. These recommendations might be adopted by other team members. i-Dashboard, the display tool reporting the information on a large screen, might keep the multi-disciplinary team on the same page and help the members perceive patients' condition and other members' considerations. Thus, persuasive recommendations that enhance care quality and patient safety might be increased during multi-disciplinary rounds.
Measured: 3 hours
Healthcare provider satisfaction (questionnaire)
i-Dashboard might facilitate the multi-disciplinary ICU rounds and thus enhance healthcare provider satisfaction. The healthcare provider satisfaction will be evaluated by questionnaires modified from previous studies.
Measured: 3 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 Apr 2021
- Study start26 Apr 2021
- Primary completion18 Jul 2021
- Study completion18 Jul 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (4)Papers the sponsor has linked to this study.
- Other trials for WorkflowStudies 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
- Health services research
- Allocation
- Randomised
- Intervention model
- Crossover
- Model description
- A cluster randomized trial was conducted in two surgical intensive care units (ICUs) of the hospital. For each two-week period of the trial, participating ICUs (cluster) were assigned to multi-disciplinary rounds with i-Dashboard (intervention) or without i-Dashboard (control). In other words, the two ICUs were randomly assigned to multi-disciplinary rounds with i-Dashboard during the first two weeks, without i-Dashboard during the second two weeks, and with i-Dashboard during the third two weeks or vice versa.
- Masking
- None (open label)
- Enrolment
- 144 participants (actual)
Sponsor and investigators
- Lead sponsor
- National Cheng-Kung University Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Chao-Han Lai, National Cheng-Kung University Hospital
- Investigators
- Chao-Han Lai, MD, PhD, Principal investigator, National Cheng-Kung University HospitalMeng-Ru Shen, MD, PhD, Principal investigator, National Cheng-Kung University Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04845698
- Sponsor's protocol ID
- B-ER-110-040
- Status last verified
- Aug 2021
- First submitted
- 11 Apr 2021
- Last updated
- 1 Sep 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Pickering BW, Dong Y, Ahmed A, Giri J, Kilickaya O, Gupta A, Gajic O, Herasevich V. The implementation of clinician designed, human-centered electronic medical record viewer in the intensive care unit: a pilot step-wedge cluster randomized trial. Int J Med Inform. 2015 May;84(5):299-307. doi: 10.1016/j.ijmedinf.2015.01.017. Epub 2015 Jan 31.
PubMed 25683227Artis KA, Dyer E, Mohan V, Gold JA. Accuracy of Laboratory Data Communication on ICU Daily Rounds Using an Electronic Health Record. Crit Care Med. 2017 Feb;45(2):179-186. doi: 10.1097/CCM.0000000000002060.
PubMed 27655323Khairat SS, Dukkipati A, Lauria HA, Bice T, Travers D, Carson SS. The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review. JMIR Hum Factors. 2018 May 31;5(2):e22. doi: 10.2196/humanfactors.9328.
PubMed 29853440Lai CH, Li KW, Hu FW, Su PF, Hsu IL, Huang MH, Huang YT, Liu PY, Shen MR. Integration of an Intensive Care Unit Visualization Dashboard (i-Dashboard) as a Platform to Facilitate Multidisciplinary Rounds: Cluster-Randomized Controlled Trial. J Med Internet Res. 2022 May 13;24(5):e35981. doi: 10.2196/35981.
PubMed 35560107
Study at a glance
From the registry record, last updated by the sponsor on 1 Sep 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Application of i-Dashboard for Multi-disciplinary Rounds in Surgical Intensive Care Units
- ClinicalTrials.gov ID
- NCT04845698
- Acronym / sponsor ID
- B-ER-110-040
- Conditions
- Workflow, Communication, Quality of Health Care
- Keywords
- Electronic Health Records, User-Computer Interface, Intensive Care Units, Patient Care Team, Teaching Rounds
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 144 participants (actual)
- Lead sponsor
- National Cheng-Kung University HospitalUniversity, hospital or other
- Study start
- 26 Apr 2021 (actual)
- Primary completion
- 18 Jul 2021 (actual)
- Study completion
- 18 Jul 2021 (actual)
- First posted
- 15 Apr 2021 (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: Information overload is a common problem in intensive care units. A display tool that facilitates retrieval of crucial clinical information from electronic medical records has excellent potential to attenuate information overload and benefit workflow.
Study hypothesis: In this project, we aimed to evaluate the efficacy and clinical satisfaction of a team-designed, patient-centered electronic medical record viewer, i-Dashboard, to facilitate multi-disciplinary rounds in our surgical intensive care units.
Detailed description
Background: More than 5.7 million people are admitted into intensive Care Units (ICUs) in the United States each year. The ICU level of care that helps people with a life-threatening illness is provided by a multi-disciplinary team of specially-trained healthcare providers. These patients require more frequent assessment compared to those who do not need critical care. Essential parameters in the ICU settings include, but not limit to, vital sign monitoring, laboratory data, ventilator settings and vasoactive drugs. Therefore, information overload is a common problem in ICUs. Caring for ICU patients generates approximately 1200 data points per patient per day. The use of electronic medical records (EMRs) increases the data accuracy compared to handwritten notes. An effective management strategy for patient information in ICUs may be needed for clinicians to avoid being overwhelmed by data overload.
Data overload in ICUs may result in communication failures, possibly in association with worse patient outcomes. A delay between condition onsets and the beginning of therapeutic interventions may dramatically impact the prognosis of patients with sepsis or cardiopulmonary emergencies. Although EMR use has been increasingly adopted worldwide, whether EMRs are being used effectively and efficiently to enhance clinical workflow in ICUs remains a question. A large cross-sectional study of primary care practitioners have investigated the predictors of missed test results in the setting of EMR alerts. Of the 2590 responders, 86.9% perceived the quantity of alerts they received to be excessive, 69.6% reported receiving more alerts than they could effectively manage (a marker of information overload), 55.6% reported that the current EMR notification system made it possible for practitioners to miss test results, and 29.8% reported having personally missed test results that led to care delays. These results suggested that primary care practitioners using comprehensive EMRs are vulnerable to information overload, leading them to miss important information. To address the nature of the high volume of metrics monitored and the urgent responses to patients' condition changes in ICUs, a display tool that facilitates retrieval of crucial clinical information has excellent potential to attenuate information overload and benefit workflow.
Visualization transforms data into visual representations, making the cognitive processing of data more effective and efficient. The use of visualization techniques in the clinical setting provides an overview to improve display and recognition of patients' conditions, potentially reducing cognitive overload among specially-trained healthcare providers. A dashboard is a data-driven clinical decision support tool capable of retrieving data from multiple databases and providing a quick representation of key metrics for each patient. The utility of a dashboard comes from its ability to provide a concise overview of crucial information. In addition to being designed based on user experiences, a dashboard for clinical use should be designed based on several proposed principles, including 1) one view should contain single patient data, 2) data should be summarized or titled for overview and details should be given on-demand, 3) data should be displayed in time-series, 4) data should be categorized by primary type, and 5) more data should be displayed at the same time. While being applied to the ICU settings, a dashboard may allow healthcare providers in a multi-disciplinary team to identify patients' active problems that need prompt interventions.
Hypothesis and Specific Aims: The implementation of multi-disciplinary rounds in ICUs exhibits a positive effect on both patient care outcome and staff satisfaction with team dynamics. In Taiwan, multi-disciplinary ICU rounds have been an important item to be evaluated in hospital accreditation. The study participants include ICU healthcare providers, i.e. physicians, nurse practitioners, nurses, respiratory therapists, pharmacists and dietitians. In this project, we aimed to evaluate the efficacy and clinical satisfaction of a team-designed, patient-centered electronic medical record viewer, i-Dashboard, to facilitate multi-disciplinary rounds in our surgical intensive care units. To achieve these research goals the applicant proposed studies with the following specific aims:
- The use of i-Dashboard reduces time spent on pre-round data gathering.
- The use of i-Dashboard increases communication accuracy during multi-disciplinary ICU rounds, including vital signs, catheters, laboratory data, medications, input/output balance and warnings on redline values.
- The use of i-Dashboard enhances recommendations actively made by multi-disciplinary team members, including respiratory therapists, pharmacists and dietitians.
- The use of i-Dashboard enhances healthcare provider satisfaction, as evaluated by questionnaires modified from previous studies.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- A cluster randomized trial was conducted in two surgical intensive care units (ICUs) of the hospital. For each two-week period of the trial, participating ICUs (cluster) were assigned to multi-disciplinary rounds with i-Dashboard (intervention) or without i-Dashboard (control). In other words, the two ICUs were randomly assigned to multi-disciplinary rounds with i-Dashboard during the first two weeks, without i-Dashboard during the second two weeks, and with i-Dashboard during the third two weeks or vice versa.
| Arm | Type | Receives |
|---|---|---|
| With i-Dashboard | Experimental | Device: i-DashboardMulti-disciplinary rounds are conducted with the assistance of i-Dashboard. |
| Without i-Dashboard | No intervention | –Multi-disciplinary rounds are conducted without the assistance of i-Dashboard. The team members collect data using standard electronic medical records. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- Patients admitted into the two surgical intensive care units for more than 7 days
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 |
|---|---|---|
| i-Dashboardi-Dashboard is a team-designed, patient-centered electronic medical record viewer, which retrieves data from multiple databases and provides a quick representation of essential metrics for each patient. | Device | With i-Dashboard |
Primary outcome
Time spent on pre-round data gathering (minutes)
Time frame: 3 hours
Pre-round data gathering for multi-disciplinary rounds in ICUs is usually time-consuming. i-Dashboard, the team-designed display tool that facilitates retrieval of crucial clinical information from electronic medical records, is available on every computer screen in the ICU. We aim to evaluate whether i-Dashboard might help reduce time spent on pre-round data gathering for each patient evaluated during multi-disciplinary ICU rounds.
Communication accuracy during multi-disciplinary ICU rounds (number of data misrepresentation)
Time frame: 3 hours
Communication during multi-disciplinary ICU rounds relies primarily on handwritten notes. Based on the literature review, data misrepresentation commonly occurs during ICU rounds, and thus communication accuracy is highly questionable. i-Dashboard, the team-designed display tool, is designed to post the information on a 55-inch screen. We aim to evaluate whether i-Dashboard might help improve communication accuracy during multi-disciplinary ICU rounds.
2 secondary outcomes
Enhancement of care quality and patient safety during multi-disciplinary ICU rounds (number of recommendations from multi-disciplinary team members)
Time frame: 3 hours
Healthcare provider satisfaction (questionnaire)
Time frame: 3 months
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 1 Sep 2021.
- Background: PubMed 25683227Pickering BW, Dong Y, Ahmed A, Giri J, Kilickaya O, Gupta A, Gajic O, Herasevich V. The implementation of clinician designed, human-centered electronic medical record viewer in the intensive care unit: a pilot step-wedge cluster randomized trial. Int J Med Inform. 2015 May;84(5):299-307. doi: 10.1016/j.ijmedinf.2015.01.017. Epub 2015 Jan 31.
- Background: PubMed 27655323Artis KA, Dyer E, Mohan V, Gold JA. Accuracy of Laboratory Data Communication on ICU Daily Rounds Using an Electronic Health Record. Crit Care Med. 2017 Feb;45(2):179-186. doi: 10.1097/CCM.0000000000002060.
- Background: PubMed 29853440Khairat SS, Dukkipati A, Lauria HA, Bice T, Travers D, Carson SS. The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review. JMIR Hum Factors. 2018 May 31;5(2):e22. doi: 10.2196/humanfactors.9328.
- Derived from this study: PubMed 35560107Lai CH, Li KW, Hu FW, Su PF, Hsu IL, Huang MH, Huang YT, Liu PY, Shen MR. Integration of an Intensive Care Unit Visualization Dashboard (i-Dashboard) as a Platform to Facilitate Multidisciplinary Rounds: Cluster-Randomized Controlled Trial. J Med Internet Res. 2022 May 13;24(5):e35981. doi: 10.2196/35981.
- Individual participant dataSharing planned: No
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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.
Chao-Han Lai, MD, PhD principal investigator
National Cheng-Kung University Hospital
Meng-Ru Shen, MD, PhD principal investigator
National Cheng-Kung University Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing i-Dashboard in people with Workflow and Communication, run by National Cheng-Kung University Hospital at 1 site in Taiwan.
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 1 Sep 2021. 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 Taiwan. 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?
Time spent on pre-round data gathering (minutes) (time frame: 3 hours). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04845698, which also lists 4 linked publications.
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 1 Sep 2021.