Learning Lab for Diagnostic Fidelity
| Status: | Recruiting |
|---|---|
| Conditions: | Hospital |
| Therapuetic Areas: | Other |
| Healthy: | No |
| Age Range: | 18 - 120 |
| Updated: | 3/8/2019 |
| Start Date: | January 1, 2020 |
| End Date: | July 31, 2022 |
| Contact: | Yue Dong, MD |
| Email: | dong.yue@mayo.edu |
| Phone: | 5072556149 |
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.
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.
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.
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.
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
We found this trial at
2
sites
200 First Street SW
Rochester, Minnesota 55905
Rochester, Minnesota 55905
507-284-2511
Principal Investigator: Brian Pickering, M.B., B.Ch.
Mayo Clinic Rochester Mayo Clinic is a nonprofit worldwide leader in medical care, research and...
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