i-Dashboard for Multi-disciplinary Rounds in SICU

August 31, 2021 updated by: Chao-Han Lai, National Cheng-Kung University Hospital

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.

Study Overview

Status

Completed

Intervention / Treatment

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:

  1. The use of i-Dashboard reduces time spent on pre-round data gathering.
  2. 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.
  3. The use of i-Dashboard enhances recommendations actively made by multi-disciplinary team members, including respiratory therapists, pharmacists and dietitians.
  4. The use of i-Dashboard enhances healthcare provider satisfaction, as evaluated by questionnaires modified from previous studies.

Study Type

Interventional

Enrollment (Actual)

144

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Taiwan, R.o.c
      • Tainan City, Taiwan, R.o.c, Taiwan, 704
        • National Cheng Kung University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patients admitted into the two surgical intensive care units for more than 7 days

Exclusion Criteria:

  • None

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: With i-Dashboard
Multi-disciplinary rounds are conducted with the assistance of i-Dashboard.
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.
No Intervention: Without i-Dashboard
Multi-disciplinary rounds are conducted without the assistance of i-Dashboard. The team members collect data using standard electronic medical records.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
3 hours
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.
3 hours

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Enhancement of care quality and patient safety during multi-disciplinary ICU rounds (number of recommendations from multi-disciplinary team members)
Time Frame: 3 hours
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.
3 hours
Healthcare provider satisfaction (questionnaire)
Time Frame: 3 months
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.
3 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Chao-Han Lai, MD, PhD, National Cheng-Kung University Hospital
  • Principal Investigator: Meng-Ru Shen, MD, PhD, National Cheng-Kung University Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 26, 2021

Primary Completion (Actual)

July 18, 2021

Study Completion (Actual)

July 18, 2021

Study Registration Dates

First Submitted

April 11, 2021

First Submitted That Met QC Criteria

April 11, 2021

First Posted (Actual)

April 15, 2021

Study Record Updates

Last Update Posted (Actual)

September 1, 2021

Last Update Submitted That Met QC Criteria

August 31, 2021

Last Verified

August 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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