Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Carnegie Mellon University | OTHER |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
The purpose of the study is to compare the ability of physicians and a statistical index (the Rothman score) to predict clinical deterioration over the next 24 hours. Clinical deterioration is defined as concern in change in vital signs or patient status requiring a call to the rapid response team, cardiopulmonary arrest, or transfer to the ICU.
The proposed study will ask interns, residents, and attending physicians from general internal medicine teaching teams in a large teaching hospital to make predictions about the probability of their patient having a clinical deterioration in the next 24 hours. The investigators will compare these judgments to the Rothman index.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intern | Interns are in their first year of residency. |
| |
| Residents | Residents are in their 2nd or 3rd year of residency. |
| |
| Attendings | Attendings are physicians who have completed their residency. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Clinical deterioration | Other | Patients at risk of clinical deterioration |
|
| Measure | Description | Time Frame |
|---|---|---|
| Difference between physician prediction of risk of clinical deterioration and Rothman Index | Physicians will make judgments about the probability of clinical deterioration for each of their patients on a 0 (definitely won't) to 100 (certainly will) scale. Clinical deterioration is defined as rapid response, cardiopulmonary arrest, or ICU transfer in the next 24 hours. The Rothman Index is an index that predicts clinical deterioration. The area under the receiver operating curve (AUROC) will be calculated for physicians and the Rothman Index. The AUROC measures the association between the physician's judgment or Rothman Index and actual clinical deterioration. The AUROC of these two measures will then be statistically compared. | Six months |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Cohorts will be selected from the teaching teams of the University of Pittsburgh's General Internal Medicine wards.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Janel A Hanmer, M.D. | University of Pittsburgh | Principal Investigator |
| Deepika Mohan, MD | University of Pittsburgh | Principal Investigator |
| Alex Davis, PhD | Carnegie Mellon University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Pittsburgh | Pittsburgh | Pennsylvania | 15213 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31601602 | Derived | Arnold J, Davis A, Fischhoff B, Yecies E, Grace J, Klobuka A, Mohan D, Hanmer J. Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study. BMJ Open. 2019 Oct 10;9(10):e032187. doi: 10.1136/bmjopen-2019-032187. |
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D000075902 | Clinical Deterioration |
| D006323 | Heart Arrest |
| ID | Term |
|---|---|
| D018450 | Disease Progression |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
Not provided
Not provided
Not provided
Not provided
Not provided
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |