Critical, Unanticipated Events Happen to Patients Every Day in Healthcare
The results are poor outcomes for patients and hospitals: increased morbidity and mortality, longer lengths of stay, and substantial unreimbursed costs of care.
CoMET outperforms conventional models of early warning systems that only use laboratory results and vital signs. 104
Patients in the ICU who develop sepsis stay 2.3 to 9.5 days longer and suffer a 1.8 to 6.4-fold increase in death. 104 Non-ICU ward patients who deteriorate and go to ICUs similarly stay 7 more days in the hospital and face a 43-fold likelihood of death. 103 Other events, such as hemorrhage and emergency intubation, have similar or worse impacts. 104
Before the critical events develop, detect patterns or signatures of illness that can be too subtle to see.
Visual display of CoMET predictive analytics provides:
- Intuitive, dynamic and easy-to-understand visualization of risk score.
- Indication of the possible cause for the patient’s deterioration, so clinicians can begin with a more focused evaluation.
- Flexibility for healthcare organizations. Clinicians choose the best way to grasp and surface the visualization based on their clinical workflow: large displays, computers or smart devices.