Learning Lab for Diagnostic Fidelity

February 3, 2023 updated by: Brian W. Pickering, M.B., B.Ch., Mayo Clinic

Acute Care Learning Laboratory-Reducing Threats to Diagnostic Fidelity in Critical Illness

Diagnostic error and delay remain a leading cause of preventable harm and death in the United States. Using a learning laboratory structure, researchers will implement mixed-methods research approaches to identify the systemic weaknesses that contribute to diagnostic error and delay in the hospital setting. The knowledge gained from research innovative will allow researchers to design, develop, implement, and refined a suite of human-centered tools that can be deployed to reduce the risk of diagnostic error and delay in both community and academic hospital settings.

Study Overview

Status

Completed

Conditions

Detailed Description

Despite the recognition that diagnostic errors an delays are a major contributor to preventable deaths in the USA, little progress has been made to reduce mortality outcomes from this known killer. An effective strategy leading to meaningful reduction in diagnostic error and delay rates has not made its way into practice. This proposal is unique and novel and combines mixed-methods research approaches with systems engineering research approaches to understand the interplay of the multiple factors contributing to diagnostic error and delay. The knowledge gained from this holistic approach will then be used within the learning laboratory to inform the design, development, evaluation, and refinement of the solutions to diagnostic error and delay. "Control Tower" will be the staging ground for the in situ learning laboratory and will be built on top of a well-established clinical informatics infrastructure and hospital environment open to innovation and practice change.

Study Type

Observational

Enrollment (Actual)

25551

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

    • Minnesota
      • Mankato, Minnesota, United States, 56001
        • Mayo Clinic Health System - Mankato MCHS
      • Rochester, Minnesota, United States, 55905
        • Mayo Clinic in Rochester

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

18 years to 120 years (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

  1. All patients at risk of diagnostic error will be eligible for the study.
  2. We will include both sexes and all genders and all minority populations as they present with the risk of diagnostic error in the hospitals.

Given the nature of the study, which focuses on patients with or at risk of diagnostic error, outreach efforts to underrepresented populations or individuals would not be possible.

Description

Inclusion Criteria

  • For EMR review all adults admitted to the hospital ages 18 and older with research authorization
  • For survey-clinicians including physicians, advanced care practitioners
  • For focus groups and interviews-clinicians including physicians, advanced care practitioners

Exclusion Criteria

  • Age <18 years old
  • No research authorization
  • Refusal to give consent

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Validation of automated phenotypes
Time Frame: 1 year
Use data from the patient electronic medical record to identify the number of diagnostic error or delay to validate clinical environment automated phenotypes
1 year
Adoption (Number of time the Control Tower used during the clinical encounters)
Time Frame: 1 year
Standardized process tracking sheets to track each time the control tower system is triggered and used.
1 year
Implementation Acceptability
Time Frame: 1 year
Focused questions about beliefs, attitudes, usability by healthcare providers
1 year

Collaborators and Investigators

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

Sponsor

Investigators

  • Principal Investigator: Brian W Pickering, M.B., B.Ch., Mayo Clinic

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 22, 2019

Primary Completion (ACTUAL)

November 30, 2022

Study Completion (ACTUAL)

November 30, 2022

Study Registration Dates

First Submitted

January 4, 2019

First Submitted That Met QC Criteria

March 5, 2019

First Posted (ACTUAL)

March 6, 2019

Study Record Updates

Last Update Posted (ACTUAL)

February 8, 2023

Last Update Submitted That Met QC Criteria

February 3, 2023

Last Verified

February 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • 18-007115
  • R18HS026609 (AHRQ)

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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