Improving Providers' Decision-Making and Reducing Information Overload Using Information Visualization in EHRs
Study Details
Study Description
Brief Summary
This study aims to test the efficacy of an information visualization dashboard on decision-making using a randomized controlled trial with crossover.
This study aims to test the efficacy of using an information visualization dashboard on ICU providers' decision-making, efficiency, and performance compared to their institutional EHR through a randomized control trial with crossover.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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N/A |
Detailed Description
Electronic Health Records (EHRs) are a major source of data for ICU clinicians. Synthesizing complex, electronic patient data is key to effective care delivery. EHRs contain both a record of past medical data and present continuous flows of new clinical data from various sources such as physiological inputs, laboratory results, imaging studies, and clinician notes. This complex, continuous stream of patient data can contribute to information overload, which can create barriers to the key cognitive tasks of data identification, extraction, and interpretation. Intensive Care Unit (ICU) providers must quickly synthesize data from more than 200 variables during critical care rounds, with critically ill patients generating a median of 1348 individual data points per day. Information overload has been identified as a key factor in the misinterpretation of data, leading to medical errors such as misdiagnoses. Improving our understanding of information overload-and investigations into new efforts to minimize it-can improve clinician workflow and productivity as well as patient safety. The objective of this study is to explore the impact of current data representation in the EHR on ICU clinicians' cognitive workload, performance, and satisfaction. The research design uses a mixed methods approach, including eye-tracking assessment and surveys, to assess the efficacy of current EHR interfaces for ICU clinicians in live and simulated environments.
The investigators will randomize consented participants into two groups: the control (EHR) group and the intervention (AWARE) group. During the Randomized Controlled Trial (RCT) crossover, providers in each group will review the same patient records and will perform the same tasks, and complete the same survey instruments. Providers in the control groups will review two patient cases in their institution EHR (Epic or Cerner) first and then, two new cases in AWARE, and providers in the intervention group will review two patient cases in AWARE and then two new cases in the EHR. Cases will be randomized to eliminate order bias and selection bias.
For the cases in the EHR, participants will navigate through the EHR as per their usual routine in the ICU, with no added training sessions before the study. For the cases in AWARE, participants will receive a short training presentation by the study team, explaining the functionality and design of AWARE. Also, a day before each session, the RA will send an email to the provider with a short demonstration video of AWARE to become familiar with the tool.
The study will be conducted in simulation or Biobehavioral labs at each site. The PI, or research assistant, will explain the study procedure and obtain consent; participants will be asked to use Tobii Pro Fusion during the session, participants will not need to wear anything, the eye-tracker will be mounted to the monitor. During the session, participants will review 2 patient cases in their institutional EHR and two in AWARE. After the participant completes the patient record review, the research assistant (RA) will ask the participant a series of decision-based Q&A activities requiring verbal responses or task completion in the EHR or AWARE. The provider may use the EHR or AWARE to complete the Q&A activity. Cases will be in random order for each participant to avoid selection or order bias. After usability testing, the investigators will ask the participant to fill out the NASA-TLX survey and the System Usability Scale (SUS). The NASA-TLX measures the perceived workload of using the EHR, and the SUS measures the level of satisfaction as a result of using the EHR. All sessions will be recorded.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Experimental: EHR (Control), then AWARE In this hour-long task, participants in this arm will first review and complete tasks using the institutional EHR. Then after an approximate 5 minute rest, participants will then review and complete tasks using AWARE. |
Device: AWARE
AWARE is a platform with a visualization dashboard that sits on top of pre-existing, comprehensive EHR systems. AWARE provides clinical decision support tools for the ICU, Emergency Departments and other critical care areas right at the patient's bedside.
Device: Electronic Health Record (EHR)
An Electronic Health Record (EHR) is an electronic version of a patients medical history, that is maintained by the provider over time, and may include all of the key administrative clinical data relevant to that persons care under a particular provider, including demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data and radiology reports.
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| Experimental: AWARE Intervention, then EHR (Control) In this hour-long task, participants in this arm will first review and complete tasks using the AWARE intervention. Then after an approximate 5 minute rest, participants will then review and complete tasks using the institutional EHR. |
Device: AWARE
AWARE is a platform with a visualization dashboard that sits on top of pre-existing, comprehensive EHR systems. AWARE provides clinical decision support tools for the ICU, Emergency Departments and other critical care areas right at the patient's bedside.
Device: Electronic Health Record (EHR)
An Electronic Health Record (EHR) is an electronic version of a patients medical history, that is maintained by the provider over time, and may include all of the key administrative clinical data relevant to that persons care under a particular provider, including demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data and radiology reports.
|
Outcome Measures
Primary Outcome Measures
- Time to Task Completion [Duration of Single Usability Session, up to 25 minutes]
To assess the amount of time required to make a decision (i.e., complete a task), participants will be asked to find the answers to clinical questions.
- Percent of Successfully Completed EHR Tasks [Duration of Single Usability Session, up to 25 minutes]
To measure performance, participants will be scored using the following: 0 points for incorrect response, 0.5 points for partially correct response, and 1 point for correct response.
- Time to Case Completion [Duration of Single Usability Session, up to 25 minutes]
To measure efficiency, participants' time to complete case review and tasks will be recorded and reported in minutes.
- Number of Clicks Per Case [Duration of Single Usability Session, up to 25 minutes]
To measure efficiency, participants' number of mouse clicks to complete case review and tasks will be recorded.
- Degree of Pupil Constriction [Duration of Single Usability Session, up to 25 minutes]
Physiologic fatigue will be measured using eye tracking device to capture changes in pupil size (which represents cognitive fatigue).
- System Usability Scale Survey Score [Immediately following each intervention, within approximately 4-5 minutes]
Perceived satisfaction measured using the System Usability Scale survey. Values range from a minimum of 0 to a maximum of 10. Higher scores indicate higher satisfaction (better). It is expected to take 2-3 minutes to complete this survey.
Secondary Outcome Measures
- Perceived Workload Score [Immediately following each intervention, within approximately 1-2 minutes]
The NASA-Task Load Index (TLX) measures perceived workload using 6 subscale questions. Scores are reported as an overall total ranging from a minimum of 0 to a maximum of 100. Higher scores indicate higher workload (worse). It is expected to take 1-2 minutes to complete this index.
- Number of Eye Fixations on Screen [Duration of Single Usability Session, up to 25 minutes]
Information seeking load measures the amount of information being processed by participants using an eye-tracking device to measure fixation points (which represents thought-processing).
- Number of Screens Per Case [Duration of Single Usability Session, up to 25 minutes]
To measure efficiency, participants' number of screens visited to complete case review and tasks will be recorded.
- Stress Score [Baseline]
Participants will be asked to rate their current level of stress based pictorial images on a numbered scale ranging from 0 (None) to 10 (Worst possible).
- Sleepiness Score [Baseline]
Participants will be asked to rate their current level of sleepiness based pictorial images on a numbered scale ranging from 0 (Wide awake, alert) to 10 (Sleep onset soon, having dreamlike thoughts).
Eligibility Criteria
Criteria
Inclusion Criteria:
ICU physicians and advanced practice providers (APPs),
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active full time ICU service,
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use an institutional EHR (Epic or Cerner) to deliver care, and
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reads and speaks English;
Residents
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prior ICU rotation experience,
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use an institutional EHR (Epic or Cerner) to deliver care, and
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reads and speaks English;
Combined Exclusion Criteria:
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Non-ICU Physicians or APPs,
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residents with no prior ICU experience
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | University of North Carolina at Chapel Hill | Chapel Hill | North Carolina | United States | 27514 |
Sponsors and Collaborators
- University of North Carolina, Chapel Hill
- Mayo Clinic
- University of Pittsburgh Medical Center
- MedStar Health
- National Library of Medicine (NLM)
Investigators
- Principal Investigator: Saif Khairat, PhD, University of North Carolina, Chapel Hill
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 20-3384
- R01LM013606