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This study compares the ability of clinicians to make diagnoses with or without the assistance of diagnostic decision support software. The area of clinical focus is primarily rheumatology.
The study uses written case vignettes, not decisions about patients seeking care from the study subjects (i.e., clinicians).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Diagnosis | Other | Test diagnostic decision support software |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Diagnosis | Other | Unaided: The testers will record a differential diagnosis consisting of a list of diseases and their ranking and a prioritized list of test orders, as well as the most appropriate referral for further evaluation and treatment of the patient. Aided: Then testers will enter the case into diagnostic decision support software and after getting advice from the software, the testers will record the same information as in Unaided, but allowing for the possibility that responses could differ as a result of using the software. |
| Measure | Description | Time Frame |
|---|---|---|
| Measures of Diagnostic effectiveness | Each clinician subject reviews each case vignette and lists their differential diagnosis ("Unaided"). Then the clinician subject uses the diagnostic decision support software and then lists a revised differential diagnosis ("Aided"). The match between the clinician subject's differential diagnosis and a Gold Standard differential diagnosis list for each case is measured, looking at rank order of correct diseases and omissions. | Completion of each case vignette (typically ½ hour) |
| Measure | Description | Time Frame |
|---|---|---|
| Measures of Patient workup effectiveness | Each clinician subject reviews each case vignette and lists their initial workup ("Unaided"). Then the clinician subject uses the diagnostic decision support software and then lists a revised initial workup ("Aided"). The match between the clinician subject's initial workup and a Gold Standard workup list for each case is measured, looking at rank order of correct diseases and omissions. |
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Inclusion criteria: Clinicians in various medical specialties
Exclusion criteria: Non-clinician
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Robert M Sundel, MD | Contact | (617) 355-6524 | robert.sundel@childrens.harvard.edu | |
| Lynn Feldman, MBA | Contact | 617-879-1670 | rheumatologystudy@simulconsult.com |
| Name | Affiliation | Role |
|---|---|---|
| Michael M Segal, MD PhD | SimulConsult, Inc. | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| SimulConsult | Brookline | Massachusetts | 02467 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 23576414 | Background | Segal MM, Williams MS, Gropman AL, Torres AR, Forsyth R, Connolly AM, El-Hattab AW, Perlman SJ, Samanta D, Parikh S, Pavlakis SG, Feldman LK, Betensky RA, Gospe SM Jr. Evidence-based decision support for neurological diagnosis reduces errors and unnecessary workup. J Child Neurol. 2014 Apr;29(4):487-92. doi: 10.1177/0883073813483365. Epub 2013 Apr 10. | |
| 22517101 |
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Mar 16, 2021 | |
| Reset | Apr 9, 2021 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Mar 16, 2021 | Apr 9, 2021 |
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| Completion of each case vignette (typically in the same ½ hour as measure 1) |
| Segal MM, Schiffmann R. Decision support for diagnosis: co-evolution of tools and resources. Neurology. 2012 May 15;78(20):1546-7. doi: 10.1212/WNL.0b013e3182563c36. Epub 2012 Apr 18. No abstract available. |
| 27964737 | Derived | Segal MM, Athreya B, Son MB, Tirosh I, Hausmann JS, Ang EY, Zurakowski D, Feldman LK, Sundel RP. Evidence-based decision support for pediatric rheumatology reduces diagnostic errors. Pediatr Rheumatol Online J. 2016 Dec 13;14(1):67. doi: 10.1186/s12969-016-0127-z. |