Are Standard Diagnostic Test Characteristics Sufficient for the Assessment of Continual Patient Monitoring?
Abstract
Background. For diagnostic processes involving continual measurements from a single patient, conventional test characteristics, such as sensitivity and specificity, do not consider decision consistency, which might be a distinct, clinically relevant test characteristic. Objective. The authors investigated the performance of a decision-support classifier for the diagnosis of traumatic injury with blood loss, implemented with three different data-processing methods. For each method, they computed standard diagnostic test characteristics and novel metrics related to decision consistency and latency. Setting. Prehospital air ambulance transport. Patients. A total of 557 trauma patients. Design. Continually monitored vital-sign data from 279 patients (50%) were randomly selected for classifier development, and the remaining were used for testing. Three data-processing methods were evaluated over 16 min of patient monitoring: a 2-min moving window, time averaging, and postprocessing with the sequential probability ratio test (SPRT). Measurements. Sensitivity and specificity were computed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 2013
- Accession Number
- ADA579020
Entities
People
- Andrei Gribok
- Andrew T. Reisner
- Jaques Reifman
- Liangyou Chen
- Xiaoxiao Chen
Organizations
- United States Army Medical Research and Development Command