AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
-
AMIA Annu Symp Proc · Jan 2007
Predicting ambulance diversion in an adult Emergency Department using a Gaussian process.
When the Emergency Department (ED) reaches a critical level of overcrowding, it diverts ambulances to other hospitals. We evaluated the accuracy of a Gaussian process for prediction of ambulance diversion using March 1, 2005 November 30, 2005 data. The area under the receiver operating curve (AUC) for 120 minutes in advance was 0.93 (SE: 0.19). The instrument demonstrated a high AUC and may be used to alert ED managers earlier of a diversion episode.
-
AMIA Annu Symp Proc · Jan 2007
Physicians value patient review of their electronic health record data as a means to improve accuracy of medication list documentation.
Providers place great value on their patients as sources of clinical information. Patient access to and review of their medication list from their electronic health record prior to a visit may improve the accuracy of medication documentation.
-
AMIA Annu Symp Proc · Jan 2007
The effect of implementing computerized provider order entry on medication prescribing errors in an emergency department.
Medication errors are a major concern in the Emergency Department (ED). We examined medication prescribing errors among consecutive adult ED patients during two 10-day periods before and during one 9-day period after implementing computerized provider order entry in an adult ED. 2,073 patients had 5,950, orders. Before (after) implementation there were 3.7 (2.8) potential adverse drug events, 222.0 (21.0) medication prescribing errors, and 5.1 (0) rule violations per 100 orders.
-
AMIA Annu Symp Proc · Jan 2007
Migrating toward a next-generation clinical decision support application: the BJC HealthCare experience.
The next-generation model outlined in the AMIA Roadmap for National Action on Clinical Decision Support (CDS) is aimed to optimize the effectiveness of CDS interventions, and to achieve widespread adoption. BJC HealthCare re-engineered its existing CDS system in alignment with the AMIA roadmap and plans to use it for guidance on further enhancements. ⋯ Rules were separated from execution code and made customizable for multi-facility deployment. Those changes resulted in system improvement in the short term while aligning with long-term strategic objectives.
-
Predicting hospital admission for Emergency Department (ED) patients at the time of triage may improve throughput. To predict admission we created and validated a Bayesian Network from 47,993 encounters (training: n=23,996, validation: n=9,599, test: n=14,398). The area under the receiver operator characteristic curve was 0.833 (0.8260.840) for the network and 0.790 (0.7810.799) for the control variable (acuity only). Predicting hospital admission early during an encounter may help anticipate ED workload and potential overcrowding.