Learning Lab for Diagnostic Fidelity

NCT ID: NCT03865303

Last Updated: 2023-02-08

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

25551 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-04-22

Study Completion Date

2022-11-30

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Critical Illness

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Maximum Eligible Age

120 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Agency for Healthcare Research and Quality (AHRQ)

FED

Sponsor Role collaborator

Mayo Clinic

OTHER

Sponsor Role lead

Responsible Party

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Brian W. Pickering, M.B., B.Ch.

Pricinple Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Brian W Pickering, M.B., B.Ch.

Role: PRINCIPAL_INVESTIGATOR

Mayo Clinic

Locations

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Mayo Clinic Health System - Mankato MCHS

Mankato, Minnesota, United States

Site Status

Mayo Clinic in Rochester

Rochester, Minnesota, United States

Site Status

Countries

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United States

Related Links

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Other Identifiers

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R18HS026609

Identifier Type: AHRQ

Identifier Source: secondary_id

View Link

18-007115

Identifier Type: -

Identifier Source: org_study_id

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